From 920219caef4be78d1a440fbe7bf7c8b76d8d3ba8 Mon Sep 17 00:00:00 2001
From: xzdandy <xzdandy@gmail.com>
Date: Wed, 4 Oct 2023 02:48:28 -0400
Subject: [PATCH 01/64] Remove empty evadb.db file.

---
 evadb.db | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 delete mode 100644 evadb.db

diff --git a/evadb.db b/evadb.db
deleted file mode 100644
index e69de29bb2..0000000000

From 2b5ba6a5cfc0b1465289f6d7b2206fa667d0b552 Mon Sep 17 00:00:00 2001
From: xzdandy <xzdandy@gmail.com>
Date: Wed, 4 Oct 2023 02:49:40 -0400
Subject: [PATCH 02/64] Move github test into long intergration test so they
 are run on the circle ci.

---
 .../long}/test_github_datasource.py                               | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename test/{third_party_tests => integration_tests/long}/test_github_datasource.py (100%)

diff --git a/test/third_party_tests/test_github_datasource.py b/test/integration_tests/long/test_github_datasource.py
similarity index 100%
rename from test/third_party_tests/test_github_datasource.py
rename to test/integration_tests/long/test_github_datasource.py

From 45af91efb6d74c068eb4436f4ec0cdc98a588ab9 Mon Sep 17 00:00:00 2001
From: xzdandy <xzdandy@gmail.com>
Date: Wed, 4 Oct 2023 03:03:31 -0400
Subject: [PATCH 03/64] Clean up test_relational_api.py

---
 .../long/interfaces/relational/test_relational_api.py            | 1 +
 1 file changed, 1 insertion(+)

diff --git a/test/integration_tests/long/interfaces/relational/test_relational_api.py b/test/integration_tests/long/interfaces/relational/test_relational_api.py
index 773607960b..fee4029e2a 100644
--- a/test/integration_tests/long/interfaces/relational/test_relational_api.py
+++ b/test/integration_tests/long/interfaces/relational/test_relational_api.py
@@ -57,6 +57,7 @@ def tearDown(self):
         # todo: move these to relational apis as well
         execute_query_fetch_all(self.evadb, """DROP TABLE IF EXISTS mnist_video;""")
         execute_query_fetch_all(self.evadb, """DROP TABLE IF EXISTS meme_images;""")
+        execute_query_fetch_all(self.evadb, """DROP TABLE IF EXISTS dummy_table;""")
 
     def test_relation_apis(self):
         cursor = self.conn.cursor()

From 9d2227e452e978464c6f05887f1f65446b3909f6 Mon Sep 17 00:00:00 2001
From: xzdandy <xzdandy@gmail.com>
Date: Wed, 4 Oct 2023 03:06:35 -0400
Subject: [PATCH 04/64] Update link in the github data source documentation

---
 docs/source/reference/databases/github.rst | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/source/reference/databases/github.rst b/docs/source/reference/databases/github.rst
index 6674e6575f..fcbd5f62e3 100644
--- a/docs/source/reference/databases/github.rst
+++ b/docs/source/reference/databases/github.rst
@@ -34,7 +34,7 @@ Create Connection
 Supported Tables
 ----------------
 
-* ``stargazers``: Lists the people that have starred the repository. Check `evadb/third_party/databases/github/table_column_info.py` for all the available columns in the table.
+* ``stargazers``: Lists the people that have starred the repository. Check `table_column_info.py<https://github.com/georgia-tech-db/evadb/blob/staging/evadb/third_party/databases/github/table_column_info.py>`_ for all the available columns in the table.
 
 .. code-block:: sql
 
@@ -54,4 +54,4 @@ Here is the query output:
 
 .. note::
 
-   Looking for another table from Github? You can add a table mapping in `evadb/third_party/databases/github/github_handler.py`, or simply raise a `Feature Request <https://github.com/georgia-tech-db/evadb/issues/new/choose>`_.
+   Looking for another table from Github? You can add a table mapping in `github_handler.py<https://github.com/georgia-tech-db/evadb/blob/staging/evadb/third_party/databases/github/github_handler.py>`_, or simply raise a `Feature Request <https://github.com/georgia-tech-db/evadb/issues/new/choose>`_.

From c322adaa0b645f208c2bc80aa613fb12d31e2c8a Mon Sep 17 00:00:00 2001
From: xzdandy <xzdandy@gmail.com>
Date: Wed, 4 Oct 2023 03:09:15 -0400
Subject: [PATCH 05/64] Fix doc links

---
 docs/source/reference/databases/github.rst | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/source/reference/databases/github.rst b/docs/source/reference/databases/github.rst
index fcbd5f62e3..00e706d49a 100644
--- a/docs/source/reference/databases/github.rst
+++ b/docs/source/reference/databases/github.rst
@@ -34,7 +34,7 @@ Create Connection
 Supported Tables
 ----------------
 
-* ``stargazers``: Lists the people that have starred the repository. Check `table_column_info.py<https://github.com/georgia-tech-db/evadb/blob/staging/evadb/third_party/databases/github/table_column_info.py>`_ for all the available columns in the table.
+* ``stargazers``: Lists the people that have starred the repository. Check `table_column_info.py <https://github.com/georgia-tech-db/evadb/blob/staging/evadb/third_party/databases/github/table_column_info.py>`_ for all the available columns in the table.
 
 .. code-block:: sql
 
@@ -54,4 +54,4 @@ Here is the query output:
 
 .. note::
 
-   Looking for another table from Github? You can add a table mapping in `github_handler.py<https://github.com/georgia-tech-db/evadb/blob/staging/evadb/third_party/databases/github/github_handler.py>`_, or simply raise a `Feature Request <https://github.com/georgia-tech-db/evadb/issues/new/choose>`_.
+   Looking for another table from Github? You can add a table mapping in `github_handler.py <https://github.com/georgia-tech-db/evadb/blob/staging/evadb/third_party/databases/github/github_handler.py>`_, or simply raise a `Feature Request <https://github.com/georgia-tech-db/evadb/issues/new/choose>`_.

From 89e48889186d919fdade64961d1a8277bdc9e946 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Wed, 18 Oct 2023 22:18:37 -0700
Subject: [PATCH 06/64] Bump Version to v0.3.9+dev (#1304)

Bump Version to v0.3.9+dev

---------

Co-authored-by: Jiashen Cao <caojiashen24@gmail.com>
Co-authored-by: Gaurav Tarlok Kakkar <gaurav21776@gmail.com>
---
 CHANGELOG.md                                  | 31 +++++++++++++++++++
 README.md                                     |  2 +-
 .../reference/ai/custom-ai-function.rst       |  2 +-
 evadb/version.py                              |  2 +-
 4 files changed, 34 insertions(+), 3 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 5557e9fadc..f8ef0b95de 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -10,6 +10,37 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 ### [Deprecated]
 ### [Removed]
 
+##  [0.3.8] - 2023-10-18
+
+* PR #1303: v0.3.8 - new release 
+* PR #1302: Reenable batch for release 
+* PR #1301: Add Documentation for UDF Unit Testing and Mocking 
+* PR #1232: Starting the change for XGBoost integration into EVADb. 
+* PR #1294: fix: improve testcase 
+* PR #1293: fix: make the table/function catalog insert operation atomic 
+* PR #1295: feat: add support for show databases 
+* PR #1296: feat: function_metadata supports boolean and float  
+* PR #1290: fix: text_summarization uses drop udf 
+* PR #1240: Add stable diffusion integration 
+* PR #1285: Update custom-ai-function.rst 
+* PR #1234: Added basic functionalities of REST apis 
+* PR #1281: Clickhouse integration 
+* PR #1273: Update custom-ai-function.rst 
+* PR #1274: Fix Notebook and Ray testcases at staging 
+* PR #1264: SHOW command for retrieveing configurations 
+* PR #1270: fix: Catalog init introduces significant overhead  
+* PR #1267: Improve the error message when there is a typo in the column name in the query.  
+* PR #1261: Remove dimensions from `TEXT` and `FLOAT` 
+* PR #1256: Remove table names from column names for `df
+* PR #1253: Collection of fixes for the staging branch 
+* PR #1246: feat: insertion update index 
+* PR #1245: Documentation on vector stores + vector benchmark 
+* PR #1244: feat: create index from projection 
+* PR #1233: GitHub Data Source Integration 
+* PR #1115: Add support for Neuralforecast 
+* PR #1241: Bump Version to v0.3.8+dev 
+* PR #1239: release 0.3.7 
+
 ##  [0.3.7] - 2023-09-30
 
 * PR #1239: release 0.3.7 
diff --git a/README.md b/README.md
index 05fd08772e..92b3a5e681 100644
--- a/README.md
+++ b/README.md
@@ -116,7 +116,7 @@ Our target audience is software developers who may not necessarily have a backgr
 
 <details>
 <ul>
-<li>Connect EvaDB to your SQL and vector database systems with the <a href="https://evadb.readthedocs.io/en/stable/source/reference/databases/postgres.html">`CREATE DATABASE`</a> and <a href="https://evadb.readthedocs.io/en/stable/source/reference/evaql/create.html#create-index">`CREATE INDEX`</a> statements.</li>
+<li>Connect EvaDB to your SQL and vector database systems with the <a href="https://evadb.readthedocs.io/en/stable/source/reference/databases/postgres.html">`CREATE DATABASE`</a> and <a href="https://evadb.readthedocs.io/en/stable/source/reference/evaql/create_index.html">`CREATE INDEX`</a> statements.</li>
 <li>Write SQL queries with AI functions to get inference results:</li>
    <ul>
    <li>Pick a pre-trained AI model from Hugging Face, Open AI, Ultralytics, PyTorch, and built-in AI frameworks for generative AI, NLP, and vision applications;</li>  
diff --git a/docs/source/reference/ai/custom-ai-function.rst b/docs/source/reference/ai/custom-ai-function.rst
index 71c19bb91c..68e1d64616 100644
--- a/docs/source/reference/ai/custom-ai-function.rst
+++ b/docs/source/reference/ai/custom-ai-function.rst
@@ -44,7 +44,7 @@ The abstract method `setup` must be implemented in your function. The setup func
 Any additional arguments needed for creating the function must be passed as arguments to the setup function. (Please refer to the 
 `ChatGPT <https://github.com/georgia-tech-db/evadb/blob/master/evadb/functions/chatgpt.py>`__ function example).
 
-The additional arguments are passed with the CREATE command. Please refer to `CREATE <https://evadb.readthedocs.io/en/stable/source/reference/evaql/create.html#create-function>`_ command documentation.
+The additional arguments are passed with the CREATE command. Please refer to `CREATE <https://evadb.readthedocs.io/en/stable/source/reference/evaql/create_function.html>`_ command documentation.
 
 The custom setup operations for the function can be written inside the function in the child class. If there is no need for any custom logic, then you can just simply write "pass" in the function definition.
 
diff --git a/evadb/version.py b/evadb/version.py
index e583161907..c6ac2fe6fb 100644
--- a/evadb/version.py
+++ b/evadb/version.py
@@ -1,6 +1,6 @@
 _MAJOR = "0"
 _MINOR = "3"
-_REVISION = "8"
+_REVISION = "9+dev"
 
 VERSION_SHORT = f"{_MAJOR}.{_MINOR}"
 VERSION = f"{_MAJOR}.{_MINOR}.{_REVISION}"

From e19f13da3624bc8bb19292b121a12fa8c5ea6b36 Mon Sep 17 00:00:00 2001
From: Sayan Sinha <sayan.sinha@cc.gatech.edu>
Date: Thu, 19 Oct 2023 09:54:42 -0400
Subject: [PATCH 07/64] Fix current issues with forecasting (#1283)

This PR aims to solve the following issues:

- [x] Throwing error when non-numeric characters are in the data
(partially fixes #1243)
- [x] Math domain error with `statsforecast`.
- [x] Fix GPU support for `neuralforecast`.
- ~Neuralforecast support for directly using batched data.~
- ~Auto frequency determination ( #1279).~

Will create separate PRs for the last two points.

---------

Co-authored-by: Andy Xu <xzdandy@gmail.com>
---
 evadb/executor/create_function_executor.py | 76 +++++++++++++++++++---
 evadb/functions/forecast.py                | 15 +++--
 2 files changed, 77 insertions(+), 14 deletions(-)

diff --git a/evadb/executor/create_function_executor.py b/evadb/executor/create_function_executor.py
index 3791575634..367110b1d8 100644
--- a/evadb/executor/create_function_executor.py
+++ b/evadb/executor/create_function_executor.py
@@ -12,9 +12,12 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
+import contextlib
 import hashlib
+import locale
 import os
 import pickle
+import re
 from pathlib import Path
 from typing import Dict, List
 
@@ -50,6 +53,31 @@
 from evadb.utils.logging_manager import logger
 
 
+# From https://stackoverflow.com/a/34333710
+@contextlib.contextmanager
+def set_env(**environ):
+    """
+    Temporarily set the process environment variables.
+
+    >>> with set_env(PLUGINS_DIR='test/plugins'):
+    ...   "PLUGINS_DIR" in os.environ
+    True
+
+    >>> "PLUGINS_DIR" in os.environ
+    False
+
+    :type environ: dict[str, unicode]
+    :param environ: Environment variables to set
+    """
+    old_environ = dict(os.environ)
+    os.environ.update(environ)
+    try:
+        yield
+    finally:
+        os.environ.clear()
+        os.environ.update(old_environ)
+
+
 class CreateFunctionExecutor(AbstractExecutor):
     def __init__(self, db: EvaDBDatabase, node: CreateFunctionPlan):
         super().__init__(db, node)
@@ -169,6 +197,15 @@ def handle_sklearn_function(self):
             self.node.metadata,
         )
 
+    def convert_to_numeric(self, x):
+        x = re.sub("[^0-9.,]", "", str(x))
+        locale.setlocale(locale.LC_ALL, "")
+        x = float(locale.atof(x))
+        if x.is_integer():
+            return int(x)
+        else:
+            return x
+
     def handle_xgboost_function(self):
         """Handle xgboost functions
 
@@ -245,7 +282,6 @@ def handle_ultralytics_function(self):
 
     def handle_forecasting_function(self):
         """Handle forecasting functions"""
-        os.environ["CUDA_VISIBLE_DEVICES"] = ""
         aggregated_batch_list = []
         child = self.children[0]
         for batch in child.exec():
@@ -369,7 +405,7 @@ def handle_forecasting_function(self):
                 model_args["input_size"] = 2 * horizon
                 model_args["early_stop_patience_steps"] = 20
             else:
-                model_args["config"] = {
+                model_args_config = {
                     "input_size": 2 * horizon,
                     "early_stop_patience_steps": 20,
                 }
@@ -381,7 +417,13 @@ def handle_forecasting_function(self):
                 if "auto" not in arg_map["model"].lower():
                     model_args["hist_exog_list"] = exogenous_columns
                 else:
-                    model_args["config"]["hist_exog_list"] = exogenous_columns
+                    model_args_config["hist_exog_list"] = exogenous_columns
+
+                    def get_optuna_config(trial):
+                        return model_args_config
+
+                    model_args["config"] = get_optuna_config
+                    model_args["backend"] = "optuna"
 
             model_args["h"] = horizon
 
@@ -455,13 +497,31 @@ def handle_forecasting_function(self):
         ]
         if len(existing_model_files) == 0:
             logger.info("Training, please wait...")
+            for column in data.columns:
+                if column != "ds" and column != "unique_id":
+                    data[column] = data.apply(
+                        lambda x: self.convert_to_numeric(x[column]), axis=1
+                    )
             if library == "neuralforecast":
-                model.fit(df=data, val_size=horizon)
+                cuda_devices_here = "0"
+                if "CUDA_VISIBLE_DEVICES" in os.environ:
+                    cuda_devices_here = os.environ["CUDA_VISIBLE_DEVICES"].split(",")[0]
+
+                with set_env(CUDA_VISIBLE_DEVICES=cuda_devices_here):
+                    model.fit(df=data, val_size=horizon)
+                    model.save(model_path, overwrite=True)
             else:
+                # The following lines of code helps eliminate the math error encountered in statsforecast when only one datapoint is available in a time series
+                for col in data["unique_id"].unique():
+                    if len(data[data["unique_id"] == col]) == 1:
+                        data = data._append(
+                            [data[data["unique_id"] == col]], ignore_index=True
+                        )
+
                 model.fit(df=data[["ds", "y", "unique_id"]])
-            f = open(model_path, "wb")
-            pickle.dump(model, f)
-            f.close()
+                f = open(model_path, "wb")
+                pickle.dump(model, f)
+                f.close()
         elif not Path(model_path).exists():
             model_path = os.path.join(model_dir, existing_model_files[-1])
 
@@ -483,8 +543,6 @@ def handle_forecasting_function(self):
             FunctionMetadataCatalogEntry("library", library),
         ]
 
-        os.environ.pop("CUDA_VISIBLE_DEVICES", None)
-
         return (
             self.node.name,
             impl_path,
diff --git a/evadb/functions/forecast.py b/evadb/functions/forecast.py
index 1571f6c4fc..46376852d2 100644
--- a/evadb/functions/forecast.py
+++ b/evadb/functions/forecast.py
@@ -38,16 +38,21 @@ def setup(
         horizon: int,
         library: str,
     ):
-        f = open(model_path, "rb")
-        loaded_model = pickle.load(f)
-        f.close()
+        self.library = library
+        if "neuralforecast" in self.library:
+            from neuralforecast import NeuralForecast
+
+            loaded_model = NeuralForecast.load(path=model_path)
+            self.model_name = model_name[4:] if "Auto" in model_name else model_name
+        else:
+            with open(model_path, "rb") as f:
+                loaded_model = pickle.load(f)
+            self.model_name = model_name
         self.model = loaded_model
-        self.model_name = model_name
         self.predict_column_rename = predict_column_rename
         self.time_column_rename = time_column_rename
         self.id_column_rename = id_column_rename
         self.horizon = int(horizon)
-        self.library = library
 
     def forward(self, data) -> pd.DataFrame:
         if self.library == "statsforecast":

From 4640d8fc6579ad2f5f8425814a23c1850d3bb8b4 Mon Sep 17 00:00:00 2001
From: Gaurav Tarlok Kakkar <gaurav21776@gmail.com>
Date: Thu, 19 Oct 2023 14:03:51 -0400
Subject: [PATCH 08/64] Configuration Manager Redesign (#1272)

1. Removed `config.yml` file. Users can directly use `SET` command.
2. Moved `OPENAI_KEY` to `OPENAI_API_KEY`

---------

Co-authored-by: hershd23 <hershdhillon23@gmail.com>
Co-authored-by: Andy Xu <xzdandy@gmail.com>
---
 .circleci/config.yml                          |  2 +-
 apps/pandas_qa/pandas_qa.py                   |  4 +-
 apps/youtube_qa/youtube_qa.py                 |  4 +-
 docs/source/overview/concepts.rst             |  2 +-
 .../reference/ai/custom-ai-function.rst       |  3 -
 docs/source/usecases/question-answering.rst   |  2 +-
 evadb/binder/statement_binder.py              | 21 ++++-
 evadb/catalog/catalog_manager.py              | 67 ++++++++++-----
 evadb/catalog/catalog_utils.py                | 26 +++---
 evadb/catalog/models/base_model.py            | 36 --------
 evadb/catalog/models/configuration_catalog.py | 43 ++++++++++
 evadb/catalog/models/utils.py                 | 24 +++++-
 .../services/configuration_catalog_service.py | 76 +++++++++++++++++
 .../services/function_cost_catalog_service.py |  2 +-
 evadb/catalog/sql_config.py                   | 34 ++------
 evadb/configuration/bootstrap_environment.py  | 82 ++++++-------------
 evadb/configuration/configuration_manager.py  | 71 ----------------
 evadb/configuration/constants.py              |  2 +-
 evadb/database.py                             | 33 ++++----
 evadb/evadb.yml                               | 30 -------
 evadb/evadb_cmd_client.py                     | 10 +--
 evadb/evadb_config.py                         | 39 +++++++++
 evadb/executor/abstract_executor.py           |  6 --
 evadb/executor/create_function_executor.py    | 12 ++-
 evadb/executor/create_index_executor.py       |  6 +-
 evadb/executor/drop_object_executor.py        |  4 +-
 evadb/executor/execution_context.py           | 14 +---
 evadb/executor/executor_utils.py              | 10 ++-
 evadb/executor/load_multimedia_executor.py    |  4 +-
 evadb/executor/set_executor.py                |  6 +-
 evadb/executor/show_info_executor.py          |  3 +-
 evadb/executor/vector_index_scan_executor.py  |  4 +-
 .../abstract/pytorch_abstract_function.py     |  4 +-
 evadb/functions/chatgpt.py                    | 11 ++-
 evadb/functions/dalle.py                      | 14 ++--
 evadb/functions/stable_diffusion.py           | 14 +---
 evadb/optimizer/optimizer_context.py          |  4 +-
 evadb/optimizer/plan_generator.py             |  4 +-
 evadb/optimizer/rules/rules.py                |  9 +-
 evadb/optimizer/rules/rules_manager.py        |  7 +-
 evadb/parser/evadb.lark                       |  2 +-
 evadb/server/server.py                        |  2 +-
 evadb/third_party/vector_stores/pinecone.py   | 15 ++--
 evadb/third_party/vector_stores/utils.py      |  1 +
 test/app_tests/test_pandas_qa.py              |  4 +-
 test/app_tests/test_privategpt.py             |  4 +-
 test/app_tests/test_youtube_channel_qa.py     |  6 +-
 test/app_tests/test_youtube_qa.py             |  6 +-
 .../long/test_create_index_executor.py        |  2 +-
 .../long/test_error_handling_with_ray.py      |  4 +-
 .../long/test_explain_executor.py             |  4 +-
 .../long/test_load_executor.py                |  4 +-
 .../long/test_optimizer_rules.py              | 17 +---
 test/integration_tests/long/test_pytorch.py   |  8 +-
 test/integration_tests/long/test_reuse.py     |  2 +-
 .../long/test_s3_load_executor.py             |  4 +-
 .../integration_tests/long/test_similarity.py |  2 +-
 .../short/test_set_executor.py                |  4 +-
 .../catalog/test_catalog_manager.py           | 26 +++---
 .../executor/test_execution_context.py        | 34 ++------
 .../optimizer/rules/test_batch_mem_size.py    |  4 +-
 test/unit_tests/optimizer/rules/test_rules.py | 19 ++---
 .../optimizer/test_optimizer_task.py          | 10 +--
 test/unit_tests/test_dalle.py                 |  2 +-
 test/unit_tests/test_eva_cmd_client.py        | 28 +++----
 test/util.py                                  | 16 ++--
 66 files changed, 492 insertions(+), 487 deletions(-)
 create mode 100644 evadb/catalog/models/configuration_catalog.py
 create mode 100644 evadb/catalog/services/configuration_catalog_service.py
 delete mode 100644 evadb/configuration/configuration_manager.py
 delete mode 100644 evadb/evadb.yml
 create mode 100644 evadb/evadb_config.py

diff --git a/.circleci/config.yml b/.circleci/config.yml
index 01984e154b..cb7ad985d9 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -234,7 +234,7 @@ jobs:
               else
                 pip install ".[dev,pinecone,chromadb]" # ray < 2.5.0 does not work with python 3.11 ray-project/ray#33864
               fi
-              python -c "import yaml;f = open('evadb/evadb.yml', 'r+');config_obj = yaml.load(f, Loader=yaml.FullLoader);config_obj['experimental']['ray'] = True;f.seek(0);f.write(yaml.dump(config_obj));f.truncate();"
+              python -c "import evadb;cur=evadb.connect().cursor();cur.query('SET ray=True';)"
             else
               if [ $PY_VERSION != "3.11" ]; then
                 pip install ".[dev,ludwig,qdrant,pinecone,chromadb]"
diff --git a/apps/pandas_qa/pandas_qa.py b/apps/pandas_qa/pandas_qa.py
index 8e4b6868a0..b81ce27d11 100644
--- a/apps/pandas_qa/pandas_qa.py
+++ b/apps/pandas_qa/pandas_qa.py
@@ -53,10 +53,10 @@ def receive_user_input() -> Dict:
 
     # get OpenAI key if needed
     try:
-        api_key = os.environ["OPENAI_KEY"]
+        api_key = os.environ["OPENAI_API_KEY"]
     except KeyError:
         api_key = str(input("🔑 Enter your OpenAI key: "))
-        os.environ["OPENAI_KEY"] = api_key
+        os.environ["OPENAI_API_KEY"] = api_key
 
     return user_input
 
diff --git a/apps/youtube_qa/youtube_qa.py b/apps/youtube_qa/youtube_qa.py
index 5a56bbe29d..ee4626473c 100644
--- a/apps/youtube_qa/youtube_qa.py
+++ b/apps/youtube_qa/youtube_qa.py
@@ -93,10 +93,10 @@ def receive_user_input() -> Dict:
 
     # get OpenAI key if needed
     try:
-        api_key = os.environ["OPENAI_KEY"]
+        api_key = os.environ["OPENAI_API_KEY"]
     except KeyError:
         api_key = str(input("🔑 Enter your OpenAI key: "))
-        os.environ["OPENAI_KEY"] = api_key
+        os.environ["OPENAI_API_KEY"] = api_key
 
     return user_input
 
diff --git a/docs/source/overview/concepts.rst b/docs/source/overview/concepts.rst
index c9dba32159..f2905b640f 100644
--- a/docs/source/overview/concepts.rst
+++ b/docs/source/overview/concepts.rst
@@ -46,7 +46,7 @@ Here are some illustrative **AI queries** for a ChatGPT-based video question ans
     --- The 'transcripts' table has a column called 'text' with the transcript text
     --- Since ChatGPT is a built-in function in EvaDB, we don't have to define it
     --- We can directly use ChatGPT() in any query
-    --- We will only need to set the OPENAI_KEY as an environment variable
+    --- We will only need to set the OPENAI_API_KEY as an environment variable
     SELECT ChatGPT('Is this video summary related to Ukraine russia war', text) 
         FROM TEXT_SUMMARY;
 
diff --git a/docs/source/reference/ai/custom-ai-function.rst b/docs/source/reference/ai/custom-ai-function.rst
index 68e1d64616..3db8457be4 100644
--- a/docs/source/reference/ai/custom-ai-function.rst
+++ b/docs/source/reference/ai/custom-ai-function.rst
@@ -258,9 +258,6 @@ The following code can be used to create an Object Detection function using Yolo
         try_to_import_openai()
         import openai
 
-        #setting up the key
-        openai.api_key = ConfigurationManager().get_value("third_party", "OPENAI_KEY")
-
         #getting the data
         content = text_df[text_df.columns[0]]
         responses = []
diff --git a/docs/source/usecases/question-answering.rst b/docs/source/usecases/question-answering.rst
index 7a1235da04..15f548d9cb 100644
--- a/docs/source/usecases/question-answering.rst
+++ b/docs/source/usecases/question-answering.rst
@@ -57,7 +57,7 @@ EvaDB has built-in support for ``ChatGPT`` function from ``OpenAI``. You will ne
 
     # Set OpenAI key
     import os
-    os.environ["OPENAI_KEY"] = "sk-..."
+    os.environ["OPENAI_API_KEY"] = "sk-..."
 
 .. note::
     
diff --git a/evadb/binder/statement_binder.py b/evadb/binder/statement_binder.py
index f1e949941c..128e6e7eed 100644
--- a/evadb/binder/statement_binder.py
+++ b/evadb/binder/statement_binder.py
@@ -34,6 +34,7 @@
 from evadb.catalog.catalog_utils import get_metadata_properties, is_document_table
 from evadb.catalog.sql_config import RESTRICTED_COL_NAMES
 from evadb.configuration.constants import EvaDB_INSTALLATION_DIR
+from evadb.executor.execution_context import Context
 from evadb.expression.abstract_expression import AbstractExpression, ExpressionType
 from evadb.expression.function_expression import FunctionExpression
 from evadb.expression.tuple_value_expression import TupleValueExpression
@@ -273,6 +274,11 @@ def _bind_tuple_expr(self, node: TupleValueExpression):
 
     @bind.register(FunctionExpression)
     def _bind_func_expr(self, node: FunctionExpression):
+        # setup the context
+        # we read the GPUs from the catalog and populate in the context
+        gpus_ids = self._catalog().get_configuration_catalog_value("gpu_ids")
+        node._context = Context(gpus_ids)
+
         # handle the special case of "extract_object"
         if node.name.upper() == str(FunctionType.EXTRACT_OBJECT):
             handle_bind_extract_object_function(node, self)
@@ -340,9 +346,18 @@ def _bind_func_expr(self, node: FunctionExpression):
                 )
                 # certain functions take additional inputs like yolo needs the model_name
                 # these arguments are passed by the user as part of metadata
-                node.function = lambda: function_class(
-                    **get_metadata_properties(function_obj)
-                )
+                # we also handle the special case of ChatGPT where we need to send the
+                # OpenAPI key as part of the parameter if not provided by the user
+                properties = get_metadata_properties(function_obj)
+                if string_comparison_case_insensitive(node.name, "CHATGPT"):
+                    # if the user didn't provide any API_KEY, check if we have one in the catalog
+                    if "OPENAI_API_KEY" not in properties.keys():
+                        openapi_key = self._catalog().get_configuration_catalog_value(
+                            "OPENAI_API_KEY"
+                        )
+                        properties["openai_api_key"] = openapi_key
+
+                node.function = lambda: function_class(**properties)
             except Exception as e:
                 err_msg = (
                     f"{str(e)}. Please verify that the function class name in the "
diff --git a/evadb/catalog/catalog_manager.py b/evadb/catalog/catalog_manager.py
index 7f63be108b..20c50c9dfb 100644
--- a/evadb/catalog/catalog_manager.py
+++ b/evadb/catalog/catalog_manager.py
@@ -14,7 +14,7 @@
 # limitations under the License.
 import shutil
 from pathlib import Path
-from typing import List
+from typing import Any, List
 
 from evadb.catalog.catalog_type import (
     ColumnType,
@@ -23,7 +23,6 @@
     VideoColumnName,
 )
 from evadb.catalog.catalog_utils import (
-    cleanup_storage,
     construct_function_cache_catalog_entry,
     get_document_table_column_definitions,
     get_image_table_column_definitions,
@@ -46,6 +45,9 @@
     truncate_catalog_tables,
 )
 from evadb.catalog.services.column_catalog_service import ColumnCatalogService
+from evadb.catalog.services.configuration_catalog_service import (
+    ConfigurationCatalogService,
+)
 from evadb.catalog.services.database_catalog_service import DatabaseCatalogService
 from evadb.catalog.services.function_cache_catalog_service import (
     FunctionCacheCatalogService,
@@ -61,23 +63,28 @@
 from evadb.catalog.services.index_catalog_service import IndexCatalogService
 from evadb.catalog.services.table_catalog_service import TableCatalogService
 from evadb.catalog.sql_config import IDENTIFIER_COLUMN, SQLConfig
-from evadb.configuration.configuration_manager import ConfigurationManager
 from evadb.expression.function_expression import FunctionExpression
 from evadb.parser.create_statement import ColumnDefinition
 from evadb.parser.table_ref import TableInfo
 from evadb.parser.types import FileFormatType
 from evadb.third_party.databases.interface import get_database_handler
-from evadb.utils.generic_utils import generate_file_path, get_file_checksum
+from evadb.utils.generic_utils import (
+    generate_file_path,
+    get_file_checksum,
+    remove_directory_contents,
+)
 from evadb.utils.logging_manager import logger
 
 
 class CatalogManager(object):
-    def __init__(self, db_uri: str, config: ConfigurationManager):
+    def __init__(self, db_uri: str):
         self._db_uri = db_uri
         self._sql_config = SQLConfig(db_uri)
-        self._config = config
         self._bootstrap_catalog()
         self._db_catalog_service = DatabaseCatalogService(self._sql_config.session)
+        self._config_catalog_service = ConfigurationCatalogService(
+            self._sql_config.session
+        )
         self._table_catalog_service = TableCatalogService(self._sql_config.session)
         self._column_service = ColumnCatalogService(self._sql_config.session)
         self._function_service = FunctionCatalogService(self._sql_config.session)
@@ -130,10 +137,14 @@ def _clear_catalog_contents(self):
         logger.info("Clearing catalog")
         # drop tables which are not part of catalog
         drop_all_tables_except_catalog(self._sql_config.engine)
-        # truncate the catalog tables
-        truncate_catalog_tables(self._sql_config.engine)
+        # truncate the catalog tables except configuration_catalog
+        # We do not remove the configuration entries
+        truncate_catalog_tables(
+            self._sql_config.engine, tables_not_to_truncate=["configuration_catalog"]
+        )
         # clean up the dataset, index, and cache directories
-        cleanup_storage(self._config)
+        for folder in ["cache_dir", "index_dir", "datasets_dir"]:
+            remove_directory_contents(self.get_configuration_catalog_value(folder))
 
     "Database catalog services"
 
@@ -447,7 +458,7 @@ def get_all_index_catalog_entries(self):
     """ Function Cache related"""
 
     def insert_function_cache_catalog_entry(self, func_expr: FunctionExpression):
-        cache_dir = self._config.get_value("storage", "cache_dir")
+        cache_dir = self.get_configuration_catalog_value("cache_dir")
         entry = construct_function_cache_catalog_entry(func_expr, cache_dir=cache_dir)
         return self._function_cache_service.insert_entry(entry)
 
@@ -510,7 +521,7 @@ def create_and_insert_table_catalog_entry(
         table_name = table_info.table_name
         column_catalog_entries = xform_column_definitions_to_catalog_entries(columns)
 
-        dataset_location = self._config.get_value("core", "datasets_dir")
+        dataset_location = self.get_configuration_catalog_value("datasets_dir")
         file_url = str(generate_file_path(dataset_location, table_name))
         table_catalog_entry = self.insert_table_catalog_entry(
             table_name,
@@ -610,14 +621,28 @@ def create_and_insert_multimedia_metadata_table_catalog_entry(
         )
         return obj
 
+    "Configuration catalog services"
+
+    def upsert_configuration_catalog_entry(self, key: str, value: any):
+        """Upserts configuration catalog entry"
+
+        Args:
+            key: key name
+            value: value name
+        """
+        self._config_catalog_service.upsert_entry(key, value)
+
+    def get_configuration_catalog_value(self, key: str, default: Any = None) -> Any:
+        """
+        Returns the value entry for the given key
+        Arguments:
+            key (str): key name
+
+        Returns:
+            ConfigurationCatalogEntry
+        """
 
-#### get catalog instance
-# This function plays a crucial role in ensuring that different threads do
-# not share the same catalog object, as it can result in serialization issues and
-# incorrect behavior with SQLAlchemy. Therefore, whenever a catalog instance is
-# required, we create a new one. One possible optimization is to share the catalog
-# instance across all objects within the same thread. It is worth investigating whether
-# SQLAlchemy already handles this optimization for us, which will be explored at a
-# later time.
-def get_catalog_instance(db_uri: str, config: ConfigurationManager):
-    return CatalogManager(db_uri, config)
+        table_entry = self._config_catalog_service.get_entry_by_name(key)
+        if table_entry:
+            return table_entry.value
+        return default
diff --git a/evadb/catalog/catalog_utils.py b/evadb/catalog/catalog_utils.py
index d2187978d2..35fb7f6a87 100644
--- a/evadb/catalog/catalog_utils.py
+++ b/evadb/catalog/catalog_utils.py
@@ -32,11 +32,10 @@
     TableCatalogEntry,
 )
 from evadb.catalog.sql_config import IDENTIFIER_COLUMN
-from evadb.configuration.configuration_manager import ConfigurationManager
 from evadb.expression.function_expression import FunctionExpression
 from evadb.expression.tuple_value_expression import TupleValueExpression
 from evadb.parser.create_statement import ColConstraintInfo, ColumnDefinition
-from evadb.utils.generic_utils import get_str_hash, remove_directory_contents
+from evadb.utils.generic_utils import get_str_hash
 
 
 def is_video_table(table: TableCatalogEntry):
@@ -256,12 +255,6 @@ def construct_function_cache_catalog_entry(
     return entry
 
 
-def cleanup_storage(config):
-    remove_directory_contents(config.get_value("storage", "index_dir"))
-    remove_directory_contents(config.get_value("storage", "cache_dir"))
-    remove_directory_contents(config.get_value("core", "datasets_dir"))
-
-
 def get_metadata_entry_or_val(
     function_obj: FunctionCatalogEntry, key: str, default_val: Any = None
 ) -> str:
@@ -300,6 +293,19 @@ def get_metadata_properties(function_obj: FunctionCatalogEntry) -> Dict:
     return properties
 
 
+def bootstrap_configs(catalog, configs: dict):
+    """
+    load all the configuration values into the catalog table configuration_catalog
+    """
+    for key, value in configs.items():
+        catalog.upsert_configuration_catalog_entry(key, value)
+
+
+def get_configuration_value(key: str):
+    catalog = get_catalog_instance()
+    return catalog.get_configuration_catalog_value(key)
+
+
 #### get catalog instance
 # This function plays a crucial role in ensuring that different threads do
 # not share the same catalog object, as it can result in serialization issues and
@@ -308,7 +314,7 @@ def get_metadata_properties(function_obj: FunctionCatalogEntry) -> Dict:
 # instance across all objects within the same thread. It is worth investigating whether
 # SQLAlchemy already handles this optimization for us, which will be explored at a
 # later time.
-def get_catalog_instance(db_uri: str, config: ConfigurationManager):
+def get_catalog_instance(db_uri: str):
     from evadb.catalog.catalog_manager import CatalogManager
 
-    return CatalogManager(db_uri, config)
+    return CatalogManager(db_uri)
diff --git a/evadb/catalog/models/base_model.py b/evadb/catalog/models/base_model.py
index 8e915af245..f31fc10b43 100644
--- a/evadb/catalog/models/base_model.py
+++ b/evadb/catalog/models/base_model.py
@@ -12,16 +12,10 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-import contextlib
-
-import sqlalchemy
 from sqlalchemy import Column, Integer
-from sqlalchemy.engine import Engine
 from sqlalchemy.exc import SQLAlchemyError
 from sqlalchemy.ext.declarative import declarative_base
-from sqlalchemy_utils import database_exists
 
-from evadb.catalog.sql_config import CATALOG_TABLES
 from evadb.utils.logging_manager import logger
 
 
@@ -100,33 +94,3 @@ def _commit(self, db_session):
 
 # Custom Base Model to be inherited by all models
 BaseModel = declarative_base(cls=CustomModel, constructor=None)
-
-
-def truncate_catalog_tables(engine: Engine):
-    """Truncate all the catalog tables"""
-    # https://stackoverflow.com/questions/4763472/sqlalchemy-clear-database-content-but-dont-drop-the-schema/5003705#5003705 #noqa
-    # reflect to refresh the metadata
-    BaseModel.metadata.reflect(bind=engine)
-    insp = sqlalchemy.inspect(engine)
-    if database_exists(engine.url):
-        with contextlib.closing(engine.connect()) as con:
-            trans = con.begin()
-            for table in reversed(BaseModel.metadata.sorted_tables):
-                if insp.has_table(table.name):
-                    con.execute(table.delete())
-            trans.commit()
-
-
-def drop_all_tables_except_catalog(engine: Engine):
-    """drop all the tables except the catalog"""
-    # reflect to refresh the metadata
-    BaseModel.metadata.reflect(bind=engine)
-    insp = sqlalchemy.inspect(engine)
-    if database_exists(engine.url):
-        with contextlib.closing(engine.connect()) as con:
-            trans = con.begin()
-            for table in reversed(BaseModel.metadata.sorted_tables):
-                if table.name not in CATALOG_TABLES:
-                    if insp.has_table(table.name):
-                        table.drop(con)
-            trans.commit()
diff --git a/evadb/catalog/models/configuration_catalog.py b/evadb/catalog/models/configuration_catalog.py
new file mode 100644
index 0000000000..157b07eaf8
--- /dev/null
+++ b/evadb/catalog/models/configuration_catalog.py
@@ -0,0 +1,43 @@
+# coding=utf-8
+# Copyright 2018-2023 EvaDB
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from sqlalchemy import Column, String
+
+from evadb.catalog.models.base_model import BaseModel
+from evadb.catalog.models.utils import ConfigurationCatalogEntry, TextPickleType
+
+
+class ConfigurationCatalog(BaseModel):
+    """The `ConfigurationCatalog` catalog stores all the configuration params.
+    `_row_id:` an autogenerated unique identifier.
+    `_key:` the key for the config.
+    `_value:` the value for the config
+    """
+
+    __tablename__ = "configuration_catalog"
+
+    _key = Column("key", String(100), unique=True)
+    _value = Column("value", TextPickleType())
+
+    def __init__(self, key: str, value: any):
+        self._key = key
+        self._value = value
+
+    def as_dataclass(self) -> "ConfigurationCatalogEntry":
+        return ConfigurationCatalogEntry(
+            row_id=self._row_id,
+            key=self._key,
+            value=self._value,
+        )
diff --git a/evadb/catalog/models/utils.py b/evadb/catalog/models/utils.py
index b1c067aa0b..5da3a2eef5 100644
--- a/evadb/catalog/models/utils.py
+++ b/evadb/catalog/models/utils.py
@@ -61,7 +61,7 @@ def init_db(engine: Engine):
     BaseModel.metadata.create_all(bind=engine)
 
 
-def truncate_catalog_tables(engine: Engine):
+def truncate_catalog_tables(engine: Engine, tables_not_to_truncate: List[str] = []):
     """Truncate all the catalog tables"""
     # https://stackoverflow.com/questions/4763472/sqlalchemy-clear-database-content-but-dont-drop-the-schema/5003705#5003705 #noqa
     # reflect to refresh the metadata
@@ -71,8 +71,9 @@ def truncate_catalog_tables(engine: Engine):
         with contextlib.closing(engine.connect()) as con:
             trans = con.begin()
             for table in reversed(BaseModel.metadata.sorted_tables):
-                if insp.has_table(table.name):
-                    con.execute(table.delete())
+                if table.name not in tables_not_to_truncate:
+                    if insp.has_table(table.name):
+                        con.execute(table.delete())
             trans.commit()
 
 
@@ -257,3 +258,20 @@ def display_format(self):
             "engine": self.engine,
             "params": self.params,
         }
+
+
+@dataclass(unsafe_hash=True)
+class ConfigurationCatalogEntry:
+    """Dataclass representing an entry in the `ConfigurationCatalog`.
+    This is done to ensure we don't expose the sqlalchemy dependencies beyond catalog service. Further, sqlalchemy does not allow sharing of objects across threads.
+    """
+
+    key: str
+    value: str
+    row_id: int = None
+
+    def display_format(self):
+        return {
+            "key": self.key,
+            "value": self.value,
+        }
diff --git a/evadb/catalog/services/configuration_catalog_service.py b/evadb/catalog/services/configuration_catalog_service.py
new file mode 100644
index 0000000000..bda22253c0
--- /dev/null
+++ b/evadb/catalog/services/configuration_catalog_service.py
@@ -0,0 +1,76 @@
+# coding=utf-8
+# Copyright 2018-2023 EvaDB
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from sqlalchemy.orm import Session
+from sqlalchemy.sql.expression import select
+
+from evadb.catalog.models.configuration_catalog import ConfigurationCatalog
+from evadb.catalog.models.utils import ConfigurationCatalogEntry
+from evadb.catalog.services.base_service import BaseService
+from evadb.utils.errors import CatalogError
+from evadb.utils.logging_manager import logger
+
+
+class ConfigurationCatalogService(BaseService):
+    def __init__(self, db_session: Session):
+        super().__init__(ConfigurationCatalog, db_session)
+
+    def insert_entry(
+        self,
+        key: str,
+        value: any,
+    ):
+        try:
+            config_catalog_obj = self.model(key=key, value=value)
+            config_catalog_obj = config_catalog_obj.save(self.session)
+
+        except Exception as e:
+            logger.exception(
+                f"Failed to insert entry into database catalog with exception {str(e)}"
+            )
+            raise CatalogError(e)
+
+    def get_entry_by_name(self, key: str) -> ConfigurationCatalogEntry:
+        """
+        Get the table catalog entry with given table name.
+        Arguments:
+            key  (str): key name
+        Returns:
+            Configuration Catalog Entry - catalog entry for given key name
+        """
+        entry = self.session.execute(
+            select(self.model).filter(self.model._key == key)
+        ).scalar_one_or_none()
+        if entry:
+            return entry.as_dataclass()
+        return entry
+
+    def upsert_entry(
+        self,
+        key: str,
+        value: any,
+    ):
+        try:
+            entry = self.session.execute(
+                select(self.model).filter(self.model._key == key)
+            ).scalar_one_or_none()
+            if entry:
+                entry.update(self.session, _value=value)
+            else:
+                self.insert_entry(key, value)
+        except Exception as e:
+            raise CatalogError(
+                f"Error while upserting entry to ConfigurationCatalog: {str(e)}"
+            )
diff --git a/evadb/catalog/services/function_cost_catalog_service.py b/evadb/catalog/services/function_cost_catalog_service.py
index ac84e8c948..5e20ac3030 100644
--- a/evadb/catalog/services/function_cost_catalog_service.py
+++ b/evadb/catalog/services/function_cost_catalog_service.py
@@ -62,7 +62,7 @@ def upsert_entry(self, function_id: int, name: str, new_cost: int):
                 select(self.model).filter(self.model._function_id == function_id)
             ).scalar_one_or_none()
             if function_obj:
-                function_obj.update(self.session, cost=new_cost)
+                function_obj.update(self.session, _cost=new_cost)
             else:
                 self.insert_entry(function_id, name, new_cost)
         except Exception as e:
diff --git a/evadb/catalog/sql_config.py b/evadb/catalog/sql_config.py
index 778d2cb248..0a460a899d 100644
--- a/evadb/catalog/sql_config.py
+++ b/evadb/catalog/sql_config.py
@@ -17,9 +17,6 @@
 
 from sqlalchemy import create_engine, event
 from sqlalchemy.orm import scoped_session, sessionmaker
-from sqlalchemy.pool import NullPool
-
-from evadb.utils.generic_utils import is_postgres_uri, parse_config_yml
 
 # Permanent identifier column.
 IDENTIFIER_COLUMN = "_row_id"
@@ -32,6 +29,7 @@
     "column_catalog",
     "table_catalog",
     "database_catalog",
+    "configuration_catalog",
     "depend_column_and_function_cache",
     "function_cache",
     "function_catalog",
@@ -65,33 +63,17 @@ def __call__(cls, uri):
 
 class SQLConfig(metaclass=SingletonMeta):
     def __init__(self, uri):
-        """Initializes the engine and session for database operations
-
-        Retrieves the database uri for connection from ConfigurationManager.
-        """
+        """Initializes the engine and session for database operations"""
 
         self.worker_uri = str(uri)
         # set echo=True to log SQL
 
-        connect_args = {}
-        config_obj = parse_config_yml()
-        if is_postgres_uri(config_obj["core"]["catalog_database_uri"]):
-            # Set the arguments for postgres backend.
-            connect_args = {"connect_timeout": 1000}
-            # https://www.oddbird.net/2014/06/14/sqlalchemy-postgres-autocommit/
-            self.engine = create_engine(
-                self.worker_uri,
-                poolclass=NullPool,
-                isolation_level="AUTOCOMMIT",
-                connect_args=connect_args,
-            )
-        else:
-            # Default to SQLite.
-            connect_args = {"timeout": 1000}
-            self.engine = create_engine(
-                self.worker_uri,
-                connect_args=connect_args,
-            )
+        # Default to SQLite.
+        connect_args = {"timeout": 1000}
+        self.engine = create_engine(
+            self.worker_uri,
+            connect_args=connect_args,
+        )
 
         if self.engine.url.get_backend_name() == "sqlite":
             # enforce foreign key constraint and wal logging for sqlite
diff --git a/evadb/configuration/bootstrap_environment.py b/evadb/configuration/bootstrap_environment.py
index 55e2f0f228..bb108692a4 100644
--- a/evadb/configuration/bootstrap_environment.py
+++ b/evadb/configuration/bootstrap_environment.py
@@ -12,13 +12,10 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-import importlib.resources as importlib_resources
 import logging
 from pathlib import Path
 from typing import Union
 
-import yaml
-
 from evadb.configuration.constants import (
     CACHE_DIR,
     DB_DEFAULT_NAME,
@@ -27,26 +24,12 @@
     MODEL_DIR,
     S3_DOWNLOAD_DIR,
     TMP_DIR,
-    EvaDB_CONFIG_FILE,
     EvaDB_DATASET_DIR,
 )
-from evadb.utils.generic_utils import parse_config_yml
+from evadb.evadb_config import BASE_EVADB_CONFIG
 from evadb.utils.logging_manager import logger as evadb_logger
 
 
-def get_base_config(evadb_installation_dir: Path) -> Path:
-    """
-    Get path to .evadb.yml source path.
-    """
-    # if evadb package is installed in environment
-    if importlib_resources.is_resource("evadb", EvaDB_CONFIG_FILE):
-        with importlib_resources.path("evadb", EvaDB_CONFIG_FILE) as yml_path:
-            return yml_path
-    else:
-        # For local dev environments without package installed
-        return evadb_installation_dir / EvaDB_CONFIG_FILE
-
-
 def get_default_db_uri(evadb_dir: Path):
     """
     Get the default database uri.
@@ -54,12 +37,8 @@ def get_default_db_uri(evadb_dir: Path):
     Arguments:
         evadb_dir: path to evadb database directory
     """
-    config_obj = parse_config_yml()
-    if config_obj["core"]["catalog_database_uri"]:
-        return config_obj["core"]["catalog_database_uri"]
-    else:
-        # Default to sqlite.
-        return f"sqlite:///{evadb_dir.resolve()}/{DB_DEFAULT_NAME}"
+    # Default to sqlite.
+    return f"sqlite:///{evadb_dir.resolve()}/{DB_DEFAULT_NAME}"
 
 
 def bootstrap_environment(evadb_dir: Path, evadb_installation_dir: Path):
@@ -71,7 +50,7 @@ def bootstrap_environment(evadb_dir: Path, evadb_installation_dir: Path):
         evadb_installation_dir: path to evadb package
     """
 
-    default_config_path = get_base_config(evadb_installation_dir).resolve()
+    config_obj = BASE_EVADB_CONFIG
 
     # creates necessary directories
     config_default_dict = create_directories_and_get_default_config_values(
@@ -80,22 +59,22 @@ def bootstrap_environment(evadb_dir: Path, evadb_installation_dir: Path):
 
     assert evadb_dir.exists(), f"{evadb_dir} does not exist"
     assert evadb_installation_dir.exists(), f"{evadb_installation_dir} does not exist"
-    config_obj = {}
-    with default_config_path.open("r") as yml_file:
-        config_obj = yaml.load(yml_file, Loader=yaml.FullLoader)
     config_obj = merge_dict_of_dicts(config_default_dict, config_obj)
-    mode = config_obj["core"]["mode"]
+    mode = config_obj["mode"]
 
     # set logger to appropriate level (debug or release)
     level = logging.WARN if mode == "release" else logging.DEBUG
     evadb_logger.setLevel(level)
     evadb_logger.debug(f"Setting logging level to: {str(level)}")
 
+    # Mainly want to add all the configs to sqlite
+
     return config_obj
 
 
+# TODO : Change
 def create_directories_and_get_default_config_values(
-    evadb_dir: Path, evadb_installation_dir: Path, category: str = None, key: str = None
+    evadb_dir: Path, evadb_installation_dir: Path
 ) -> Union[dict, str]:
     default_install_dir = evadb_installation_dir
     dataset_location = evadb_dir / EvaDB_DATASET_DIR
@@ -124,21 +103,15 @@ def create_directories_and_get_default_config_values(
         model_dir.mkdir(parents=True, exist_ok=True)
 
     config_obj = {}
-    config_obj["core"] = {}
-    config_obj["storage"] = {}
-    config_obj["core"]["evadb_installation_dir"] = str(default_install_dir.resolve())
-    config_obj["core"]["datasets_dir"] = str(dataset_location.resolve())
-    config_obj["core"]["catalog_database_uri"] = get_default_db_uri(evadb_dir)
-    config_obj["storage"]["index_dir"] = str(index_dir.resolve())
-    config_obj["storage"]["cache_dir"] = str(cache_dir.resolve())
-    config_obj["storage"]["s3_download_dir"] = str(s3_dir.resolve())
-    config_obj["storage"]["tmp_dir"] = str(tmp_dir.resolve())
-    config_obj["storage"]["function_dir"] = str(function_dir.resolve())
-    config_obj["storage"]["model_dir"] = str(model_dir.resolve())
-    if category and key:
-        return config_obj.get(category, {}).get(key, None)
-    elif category:
-        return config_obj.get(category, {})
+    config_obj["evadb_installation_dir"] = str(default_install_dir.resolve())
+    config_obj["datasets_dir"] = str(dataset_location.resolve())
+    config_obj["catalog_database_uri"] = get_default_db_uri(evadb_dir)
+    config_obj["index_dir"] = str(index_dir.resolve())
+    config_obj["cache_dir"] = str(cache_dir.resolve())
+    config_obj["s3_download_dir"] = str(s3_dir.resolve())
+    config_obj["tmp_dir"] = str(tmp_dir.resolve())
+    config_obj["function_dir"] = str(function_dir.resolve())
+    config_obj["model_dir"] = str(model_dir.resolve())
     return config_obj
 
 
@@ -147,15 +120,14 @@ def merge_dict_of_dicts(dict1, dict2):
     merged_dict = dict1.copy()
 
     for key, value in dict2.items():
-        # Overwrite only if some value is specified.
-        if value:
-            if (
-                key in merged_dict
-                and isinstance(merged_dict[key], dict)
-                and isinstance(value, dict)
-            ):
-                merged_dict[key] = merge_dict_of_dicts(merged_dict[key], value)
-            else:
-                merged_dict[key] = value
+        if key in merged_dict.keys():
+            # Overwrite only if some value is specified.
+            if value is not None:
+                if isinstance(merged_dict[key], dict) and isinstance(value, dict):
+                    merged_dict[key] = merge_dict_of_dicts(merged_dict[key], value)
+                else:
+                    merged_dict[key] = value
+        else:
+            merged_dict[key] = value
 
     return merged_dict
diff --git a/evadb/configuration/configuration_manager.py b/evadb/configuration/configuration_manager.py
deleted file mode 100644
index 8d209e2fcf..0000000000
--- a/evadb/configuration/configuration_manager.py
+++ /dev/null
@@ -1,71 +0,0 @@
-# coding=utf-8
-# Copyright 2018-2023 EvaDB
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-from pathlib import Path
-from typing import Any
-
-from evadb.configuration.bootstrap_environment import bootstrap_environment
-from evadb.configuration.constants import EvaDB_DATABASE_DIR, EvaDB_INSTALLATION_DIR
-from evadb.utils.logging_manager import logger
-
-
-class ConfigurationManager(object):
-    def __init__(self, evadb_dir: str = None) -> None:
-        self._evadb_dir = evadb_dir or EvaDB_DATABASE_DIR
-        self._config_obj = self._create_if_not_exists()
-
-    def _create_if_not_exists(self):
-        config_obj = bootstrap_environment(
-            evadb_dir=Path(self._evadb_dir),
-            evadb_installation_dir=Path(EvaDB_INSTALLATION_DIR),
-        )
-        return config_obj
-
-    def _get(self, category: str, key: str) -> Any:
-        """Retrieve a configuration value based on the category and key.
-
-        Args:
-            category (str): The category of the configuration.
-            key (str): The key of the configuration within the category.
-
-        Returns:
-            Any: The retrieved configuration value.
-
-        Raises:
-            ValueError: If the YAML file is invalid or cannot be loaded.
-        """
-        config_obj = self._config_obj
-
-        # Get value from the user-provided config file
-        value = config_obj.get(category, {}).get(key)
-
-        # cannot find the value, report invalid category, key combination
-        if value is None:
-            logger.exception(f"Invalid category and key combination {category}:{key}")
-
-        return value
-
-    def _update(self, category: str, key: str, value: str):
-        config_obj = self._config_obj
-
-        if category not in config_obj:
-            config_obj[category] = {}
-
-        config_obj[category][key] = value
-
-    def get_value(self, category: str, key: str) -> Any:
-        return self._get(category, key)
-
-    def update_value(self, category, key, value) -> None:
-        self._update(category, key, value)
diff --git a/evadb/configuration/constants.py b/evadb/configuration/constants.py
index 395f898be9..18a1331f83 100644
--- a/evadb/configuration/constants.py
+++ b/evadb/configuration/constants.py
@@ -21,7 +21,7 @@
 EvaDB_DATABASE_DIR = "evadb_data"
 EvaDB_APPS_DIR = "apps"
 EvaDB_DATASET_DIR = "evadb_datasets"
-EvaDB_CONFIG_FILE = "evadb.yml"
+EvaDB_CONFIG_FILE = "evadb_config.py"
 FUNCTION_DIR = "functions"
 MODEL_DIR = "models"
 CATALOG_DIR = "catalog"
diff --git a/evadb/database.py b/evadb/database.py
index ed6ad2f118..9c22d5b9ff 100644
--- a/evadb/database.py
+++ b/evadb/database.py
@@ -16,10 +16,13 @@
 from pathlib import Path
 from typing import TYPE_CHECKING, Callable
 
-from evadb.catalog.catalog_utils import get_catalog_instance
-from evadb.configuration.configuration_manager import ConfigurationManager
-from evadb.configuration.constants import DB_DEFAULT_NAME, EvaDB_DATABASE_DIR
-from evadb.utils.generic_utils import parse_config_yml
+from evadb.catalog.catalog_utils import bootstrap_configs, get_catalog_instance
+from evadb.configuration.bootstrap_environment import bootstrap_environment
+from evadb.configuration.constants import (
+    DB_DEFAULT_NAME,
+    EvaDB_DATABASE_DIR,
+    EvaDB_INSTALLATION_DIR,
+)
 
 if TYPE_CHECKING:
     from evadb.catalog.catalog_manager import CatalogManager
@@ -28,7 +31,6 @@
 @dataclass
 class EvaDBDatabase:
     db_uri: str
-    config: ConfigurationManager
     catalog_uri: str
     catalog_func: Callable
 
@@ -36,16 +38,12 @@ def catalog(self) -> "CatalogManager":
         """
         Note: Generating an object on demand plays a crucial role in ensuring that different threads do not share the same catalog object, as it can result in serialization issues and incorrect behavior with SQLAlchemy. Refer to get_catalog_instance()
         """
-        return self.catalog_func(self.catalog_uri, self.config)
+        return self.catalog_func(self.catalog_uri)
 
 
 def get_default_db_uri(evadb_dir: Path):
-    config_obj = parse_config_yml()
-    if config_obj["core"]["catalog_database_uri"]:
-        return config_obj["core"]["catalog_database_uri"]
-    else:
-        # Default to sqlite.
-        return f"sqlite:///{evadb_dir.resolve()}/{DB_DEFAULT_NAME}"
+    # Default to sqlite.
+    return f"sqlite:///{evadb_dir.resolve()}/{DB_DEFAULT_NAME}"
 
 
 def init_evadb_instance(
@@ -53,8 +51,15 @@ def init_evadb_instance(
 ):
     if db_dir is None:
         db_dir = EvaDB_DATABASE_DIR
-    config = ConfigurationManager(db_dir)
+
+    config_obj = bootstrap_environment(
+        Path(db_dir),
+        evadb_installation_dir=Path(EvaDB_INSTALLATION_DIR),
+    )
 
     catalog_uri = custom_db_uri or get_default_db_uri(Path(db_dir))
 
-    return EvaDBDatabase(db_dir, config, catalog_uri, get_catalog_instance)
+    # load all the config into the configuration_catalog table
+    bootstrap_configs(get_catalog_instance(catalog_uri), config_obj)
+
+    return EvaDBDatabase(db_dir, catalog_uri, get_catalog_instance)
diff --git a/evadb/evadb.yml b/evadb/evadb.yml
deleted file mode 100644
index 04ce32549b..0000000000
--- a/evadb/evadb.yml
+++ /dev/null
@@ -1,30 +0,0 @@
-core:
-  evadb_installation_dir: ""
-  datasets_dir: ""
-  catalog_database_uri: ""
-  application: "evadb"
-  mode: "release" #release or debug
-
-executor:
-  # batch_mem_size configures the number of rows processed by the execution engine in one iteration
-  # rows = max(1, row_mem_size / batch_mem_size)
-  batch_mem_size: 30000000
-
-  # batch size used for gpu_operations
-  gpu_batch_size: 1
-
-  gpu_ids: [0]
-
-server:
-  host: "0.0.0.0"
-  port: 8803
-  socket_timeout: 60
-
-experimental:
-  ray: False
-
-third_party:
-  OPENAI_KEY: ""
-  PINECONE_API_KEY: ""
-  PINECONE_ENV: ""
-  REPLICATE_API_TOKEN: ""
\ No newline at end of file
diff --git a/evadb/evadb_cmd_client.py b/evadb/evadb_cmd_client.py
index 3286b68fa3..2f15f075d5 100644
--- a/evadb/evadb_cmd_client.py
+++ b/evadb/evadb_cmd_client.py
@@ -26,7 +26,7 @@
 EvaDB_CODE_DIR = abspath(join(THIS_DIR, ".."))
 sys.path.append(EvaDB_CODE_DIR)
 
-from evadb.configuration.configuration_manager import ConfigurationManager  # noqa: E402
+from evadb.evadb_config import BASE_EVADB_CONFIG  # noqa: E402
 from evadb.server.interpreter import start_cmd_client  # noqa: E402
 
 
@@ -61,13 +61,9 @@ def main():
     # PARSE ARGS
     args, unknown = parser.parse_known_args()
 
-    host = (
-        args.host if args.host else ConfigurationManager().get_value("server", "host")
-    )
+    host = args.host if args.host else BASE_EVADB_CONFIG["host"]
 
-    port = (
-        args.port if args.port else ConfigurationManager().get_value("server", "port")
-    )
+    port = args.port if args.port else BASE_EVADB_CONFIG["port"]
     asyncio.run(evadb_client(host, port))
 
 
diff --git a/evadb/evadb_config.py b/evadb/evadb_config.py
new file mode 100644
index 0000000000..800112a601
--- /dev/null
+++ b/evadb/evadb_config.py
@@ -0,0 +1,39 @@
+# coding=utf-8
+# Copyright 2018-2023 EvaDB
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""
+EvaDB configuration dict
+
+batch_mem_size configures the number of rows processed by the execution engine in one iteration
+rows = max(1, row_mem_size / batch_mem_size)
+"""
+
+BASE_EVADB_CONFIG = {
+    "evadb_installation_dir": "",
+    "datasets_dir": "",
+    "catalog_database_uri": "",
+    "application": "evadb",
+    "mode": "release",
+    "batch_mem_size": 30000000,
+    "gpu_batch_size": 1,  # batch size used for gpu_operations
+    "gpu_ids": [0],
+    "host": "0.0.0.0",
+    "port": 8803,
+    "socket_timeout": 60,
+    "ray": False,
+    "OPENAI_API_KEY": "",
+    "PINECONE_API_KEY": "",
+    "PINECONE_ENV": "",
+}
diff --git a/evadb/executor/abstract_executor.py b/evadb/executor/abstract_executor.py
index 66a453f71d..8647901460 100644
--- a/evadb/executor/abstract_executor.py
+++ b/evadb/executor/abstract_executor.py
@@ -18,7 +18,6 @@
 
 if TYPE_CHECKING:
     from evadb.catalog.catalog_manager import CatalogManager
-from evadb.configuration.configuration_manager import ConfigurationManager
 from evadb.database import EvaDBDatabase
 from evadb.models.storage.batch import Batch
 from evadb.plan_nodes.abstract_plan import AbstractPlan
@@ -36,7 +35,6 @@ class AbstractExecutor(ABC):
     def __init__(self, db: EvaDBDatabase, node: AbstractPlan):
         self._db = db
         self._node = node
-        self._config: ConfigurationManager = db.config if db else None
         self._children = []
 
     # @lru_cache(maxsize=None)
@@ -74,10 +72,6 @@ def node(self) -> AbstractPlan:
     def db(self) -> EvaDBDatabase:
         return self._db
 
-    @property
-    def config(self) -> ConfigurationManager:
-        return self._config
-
     @abstractmethod
     def exec(self, *args, **kwargs) -> Iterable[Batch]:
         """
diff --git a/evadb/executor/create_function_executor.py b/evadb/executor/create_function_executor.py
index 367110b1d8..d045205a65 100644
--- a/evadb/executor/create_function_executor.py
+++ b/evadb/executor/create_function_executor.py
@@ -129,10 +129,13 @@ def handle_ludwig_function(self):
             target=arg_map["predict"],
             tune_for_memory=arg_map.get("tune_for_memory", False),
             time_limit_s=arg_map.get("time_limit", DEFAULT_TRAIN_TIME_LIMIT),
-            output_directory=self.db.config.get_value("storage", "tmp_dir"),
+            output_directory=self.db.catalog().get_configuration_catalog_value(
+                "tmp_dir"
+            ),
         )
         model_path = os.path.join(
-            self.db.config.get_value("storage", "model_dir"), self.node.name
+            self.db.catalog().get_configuration_catalog_value("model_dir"),
+            self.node.name,
         )
         auto_train_results.best_model.save(model_path)
         self.node.metadata.append(
@@ -176,7 +179,8 @@ def handle_sklearn_function(self):
         aggregated_batch.frames.drop([arg_map["predict"]], axis=1, inplace=True)
         model.fit(X=aggregated_batch.frames, y=Y)
         model_path = os.path.join(
-            self.db.config.get_value("storage", "model_dir"), self.node.name
+            self.db.catalog().get_configuration_catalog_value("model_dir"),
+            self.node.name,
         )
         pickle.dump(model, open(model_path, "wb"))
         self.node.metadata.append(
@@ -475,7 +479,7 @@ def get_optuna_config(trial):
             model_save_dir_name += "_exogenous_" + str(sorted(exogenous_columns))
 
         model_dir = os.path.join(
-            self.db.config.get_value("storage", "model_dir"),
+            self.db.catalog().get_configuration_catalog_value("model_dir"),
             "tsforecasting",
             model_save_dir_name,
             str(hashlib.sha256(data.to_string().encode()).hexdigest()),
diff --git a/evadb/executor/create_index_executor.py b/evadb/executor/create_index_executor.py
index 407cfef3c0..4b5c164745 100644
--- a/evadb/executor/create_index_executor.py
+++ b/evadb/executor/create_index_executor.py
@@ -75,7 +75,7 @@ def _create_native_index(self):
 
     # On-disk saving path for EvaDB index.
     def _get_evadb_index_save_path(self) -> Path:
-        index_dir = Path(self.config.get_value("storage", "index_dir"))
+        index_dir = Path(self.db.catalog().get_configuration_catalog_value("index_dir"))
         if not index_dir.exists():
             index_dir.mkdir(parents=True, exist_ok=True)
         return str(
@@ -121,7 +121,7 @@ def _create_evadb_index(self):
                         self.vector_store_type,
                         self.name,
                         **handle_vector_store_params(
-                            self.vector_store_type, index_path
+                            self.vector_store_type, index_path, self.catalog
                         ),
                     )
                 else:
@@ -151,7 +151,7 @@ def _create_evadb_index(self):
                             self.vector_store_type,
                             self.name,
                             **handle_vector_store_params(
-                                self.vector_store_type, index_path
+                                self.vector_store_type, index_path, self.catalog
                             ),
                         )
                         index.create(input_dim)
diff --git a/evadb/executor/drop_object_executor.py b/evadb/executor/drop_object_executor.py
index 38d5419dc4..a857f15eae 100644
--- a/evadb/executor/drop_object_executor.py
+++ b/evadb/executor/drop_object_executor.py
@@ -118,7 +118,9 @@ def _handle_drop_index(self, index_name: str, if_exists: bool):
             index = VectorStoreFactory.init_vector_store(
                 index_obj.type,
                 index_obj.name,
-                **handle_vector_store_params(index_obj.type, index_obj.save_file_path),
+                **handle_vector_store_params(
+                    index_obj.type, index_obj.save_file_path, self.catalog
+                ),
             )
             assert (
                 index is not None
diff --git a/evadb/executor/execution_context.py b/evadb/executor/execution_context.py
index d5feea4648..b0b5e1a696 100644
--- a/evadb/executor/execution_context.py
+++ b/evadb/executor/execution_context.py
@@ -16,7 +16,6 @@
 import random
 from typing import List
 
-from evadb.configuration.configuration_manager import ConfigurationManager
 from evadb.constants import NO_GPU
 from evadb.utils.generic_utils import get_gpu_count, is_gpu_available
 
@@ -28,13 +27,8 @@ class Context:
     if using horovod: current rank etc.
     """
 
-    def __new__(cls):
-        if not hasattr(cls, "_instance"):
-            cls._instance = super(Context, cls).__new__(cls)
-        return cls._instance
-
-    def __init__(self):
-        self._config_manager = ConfigurationManager()
+    def __init__(self, user_provided_gpu_conf=[]):
+        self._user_provided_gpu_conf = user_provided_gpu_conf
         self._gpus = self._populate_gpu_ids()
 
     @property
@@ -42,10 +36,8 @@ def gpus(self):
         return self._gpus
 
     def _populate_gpu_from_config(self) -> List:
-        # Populate GPU IDs from yaml config file.
-        gpu_conf = self._config_manager.get_value("executor", "gpu_ids")
         available_gpus = [i for i in range(get_gpu_count())]
-        return list(set(available_gpus) & set(gpu_conf))
+        return list(set(available_gpus) & set(self._user_provided_gpu_conf))
 
     def _populate_gpu_from_env(self) -> List:
         # Populate GPU IDs from env variable.
diff --git a/evadb/executor/executor_utils.py b/evadb/executor/executor_utils.py
index 23987ea153..9c2c3d5dbc 100644
--- a/evadb/executor/executor_utils.py
+++ b/evadb/executor/executor_utils.py
@@ -156,7 +156,7 @@ def validate_media(file_path: Path, media_type: FileFormatType) -> bool:
 
 
 def handle_vector_store_params(
-    vector_store_type: VectorStoreType, index_path: str
+    vector_store_type: VectorStoreType, index_path: str, catalog
 ) -> dict:
     """Handle vector store parameters based on the vector store type and index path.
 
@@ -178,7 +178,13 @@ def handle_vector_store_params(
     elif vector_store_type == VectorStoreType.CHROMADB:
         return {"index_path": str(Path(index_path).parent)}
     elif vector_store_type == VectorStoreType.PINECONE:
-        return {}
+        # add the required API_KEYS
+        return {
+            "PINECONE_API_KEY": catalog().get_configuration_catalog_value(
+                "PINECONE_API_KEY"
+            ),
+            "PINECONE_ENV": catalog().get_configuration_catalog_value("PINECONE_ENV"),
+        }
     else:
         raise ValueError("Unsupported vector store type: {}".format(vector_store_type))
 
diff --git a/evadb/executor/load_multimedia_executor.py b/evadb/executor/load_multimedia_executor.py
index 90bc7edba3..03f1f7fb64 100644
--- a/evadb/executor/load_multimedia_executor.py
+++ b/evadb/executor/load_multimedia_executor.py
@@ -53,7 +53,9 @@ def exec(self, *args, **kwargs):
 
             # If it is a s3 path, download the file to local
             if self.node.file_path.as_posix().startswith("s3:/"):
-                s3_dir = Path(self.config.get_value("storage", "s3_download_dir"))
+                s3_dir = Path(
+                    self.catalog().get_configuration_catalog_value("s3_download_dir")
+                )
                 dst_path = s3_dir / self.node.table_info.table_name
                 dst_path.mkdir(parents=True, exist_ok=True)
                 video_files = download_from_s3(self.node.file_path, dst_path)
diff --git a/evadb/executor/set_executor.py b/evadb/executor/set_executor.py
index f399e3839a..309fe2747c 100644
--- a/evadb/executor/set_executor.py
+++ b/evadb/executor/set_executor.py
@@ -36,8 +36,8 @@ def exec(self, *args, **kwargs):
         as a separate PR for the issue #1140, where all instances of config use
         will be replaced
         """
-        self._config.update_value(
-            category="default",
-            key=self.node.config_name.upper(),
+
+        self.catalog().upsert_configuration_catalog_entry(
+            key=self.node.config_name,
             value=self.node.config_value.value,
         )
diff --git a/evadb/executor/show_info_executor.py b/evadb/executor/show_info_executor.py
index 96dc0a537f..16871b8435 100644
--- a/evadb/executor/show_info_executor.py
+++ b/evadb/executor/show_info_executor.py
@@ -51,8 +51,7 @@ def exec(self, *args, **kwargs):
             for db in databases:
                 show_entries.append(db.display_format())
         elif self.node.show_type is ShowType.CONFIG:
-            value = self._config.get_value(
-                category="default",
+            value = self.catalog().get_configuration_catalog_value(
                 key=self.node.show_val.upper(),
             )
             show_entries = {}
diff --git a/evadb/executor/vector_index_scan_executor.py b/evadb/executor/vector_index_scan_executor.py
index 2b58f5c337..b2e1bb219e 100644
--- a/evadb/executor/vector_index_scan_executor.py
+++ b/evadb/executor/vector_index_scan_executor.py
@@ -102,7 +102,9 @@ def _evadb_vector_index_scan(self, *args, **kwargs):
         self.index = VectorStoreFactory.init_vector_store(
             self.vector_store_type,
             self.index_name,
-            **handle_vector_store_params(self.vector_store_type, self.index_path),
+            **handle_vector_store_params(
+                self.vector_store_type, self.index_path, self.db.catalog
+            ),
         )
 
         search_feat = self._get_search_query_results()
diff --git a/evadb/functions/abstract/pytorch_abstract_function.py b/evadb/functions/abstract/pytorch_abstract_function.py
index 763f3658f7..49e531655e 100644
--- a/evadb/functions/abstract/pytorch_abstract_function.py
+++ b/evadb/functions/abstract/pytorch_abstract_function.py
@@ -17,7 +17,6 @@
 import pandas as pd
 from numpy.typing import ArrayLike
 
-from evadb.configuration.configuration_manager import ConfigurationManager
 from evadb.functions.abstract.abstract_function import (
     AbstractClassifierFunction,
     AbstractTransformationFunction,
@@ -74,7 +73,8 @@ def __call__(self, *args, **kwargs) -> pd.DataFrame:
         if isinstance(frames, pd.DataFrame):
             frames = frames.transpose().values.tolist()[0]
 
-        gpu_batch_size = ConfigurationManager().get_value("executor", "gpu_batch_size")
+        # hardcoding it for now, need to be fixed @xzdandy
+        gpu_batch_size = 1
         import torch
 
         tens_batch = torch.cat([self.transform(x) for x in frames]).to(
diff --git a/evadb/functions/chatgpt.py b/evadb/functions/chatgpt.py
index 61253116fe..fadc61191a 100644
--- a/evadb/functions/chatgpt.py
+++ b/evadb/functions/chatgpt.py
@@ -20,7 +20,6 @@
 from retry import retry
 
 from evadb.catalog.catalog_type import NdArrayType
-from evadb.configuration.configuration_manager import ConfigurationManager
 from evadb.functions.abstract.abstract_function import AbstractFunction
 from evadb.functions.decorators.decorators import forward, setup
 from evadb.functions.decorators.io_descriptors.data_types import PandasDataframe
@@ -85,10 +84,12 @@ def setup(
         self,
         model="gpt-3.5-turbo",
         temperature: float = 0,
+        openai_api_key="",
     ) -> None:
         assert model in _VALID_CHAT_COMPLETION_MODEL, f"Unsupported ChatGPT {model}"
         self.model = model
         self.temperature = temperature
+        self.openai_api_key = openai_api_key
 
     @forward(
         input_signatures=[
@@ -120,14 +121,12 @@ def forward(self, text_df):
         def completion_with_backoff(**kwargs):
             return openai.ChatCompletion.create(**kwargs)
 
-        # Register API key, try configuration manager first
-        openai.api_key = ConfigurationManager().get_value("third_party", "OPENAI_KEY")
-        # If not found, try OS Environment Variable
+        openai.api_key = self.openai_api_key
         if len(openai.api_key) == 0:
-            openai.api_key = os.environ.get("OPENAI_KEY", "")
+            openai.api_key = os.environ.get("OPENAI_API_KEY", "")
         assert (
             len(openai.api_key) != 0
-        ), "Please set your OpenAI API key in evadb.yml file (third_party, open_api_key) or environment variable (OPENAI_KEY)"
+        ), "Please set your OpenAI API key using SET OPENAI_API_KEY = 'sk-' or environment variable (OPENAI_API_KEY)"
 
         queries = text_df[text_df.columns[0]]
         content = text_df[text_df.columns[0]]
diff --git a/evadb/functions/dalle.py b/evadb/functions/dalle.py
index d373fda383..7c1dc39dd0 100644
--- a/evadb/functions/dalle.py
+++ b/evadb/functions/dalle.py
@@ -22,7 +22,6 @@
 from PIL import Image
 
 from evadb.catalog.catalog_type import NdArrayType
-from evadb.configuration.configuration_manager import ConfigurationManager
 from evadb.functions.abstract.abstract_function import AbstractFunction
 from evadb.functions.decorators.decorators import forward
 from evadb.functions.decorators.io_descriptors.data_types import PandasDataframe
@@ -34,8 +33,8 @@ class DallEFunction(AbstractFunction):
     def name(self) -> str:
         return "DallE"
 
-    def setup(self) -> None:
-        pass
+    def setup(self, openai_api_key="") -> None:
+        self.openai_api_key = openai_api_key
 
     @forward(
         input_signatures=[
@@ -59,14 +58,13 @@ def forward(self, text_df):
         try_to_import_openai()
         import openai
 
-        # Register API key, try configuration manager first
-        openai.api_key = ConfigurationManager().get_value("third_party", "OPENAI_KEY")
+        openai.api_key = self.openai_api_key
         # If not found, try OS Environment Variable
-        if openai.api_key is None or len(openai.api_key) == 0:
-            openai.api_key = os.environ.get("OPENAI_KEY", "")
+        if len(openai.api_key) == 0:
+            openai.api_key = os.environ.get("OPENAI_API_KEY", "")
         assert (
             len(openai.api_key) != 0
-        ), "Please set your OpenAI API key in evadb.yml file (third_party, open_api_key) or environment variable (OPENAI_KEY)"
+        ), "Please set your OpenAI API key using SET OPENAI_API_KEY = 'sk-'  or environment variable (OPENAI_API_KEY)"
 
         def generate_image(text_df: PandasDataframe):
             results = []
diff --git a/evadb/functions/stable_diffusion.py b/evadb/functions/stable_diffusion.py
index 0441955476..1ceaefe7e3 100644
--- a/evadb/functions/stable_diffusion.py
+++ b/evadb/functions/stable_diffusion.py
@@ -22,7 +22,6 @@
 from PIL import Image
 
 from evadb.catalog.catalog_type import NdArrayType
-from evadb.configuration.configuration_manager import ConfigurationManager
 from evadb.functions.abstract.abstract_function import AbstractFunction
 from evadb.functions.decorators.decorators import forward
 from evadb.functions.decorators.io_descriptors.data_types import PandasDataframe
@@ -34,10 +33,8 @@ class StableDiffusion(AbstractFunction):
     def name(self) -> str:
         return "StableDiffusion"
 
-    def setup(
-        self,
-    ) -> None:
-        pass
+    def setup(self, replicate_api_token="") -> None:
+        self.replicate_api_token = replicate_api_token
 
     @forward(
         input_signatures=[
@@ -64,16 +61,13 @@ def forward(self, text_df):
         try_to_import_replicate()
         import replicate
 
-        # Register API key, try configuration manager first
-        replicate_api_key = ConfigurationManager().get_value(
-            "third_party", "REPLICATE_API_TOKEN"
-        )
+        replicate_api_key = self.replicate_api_token
         # If not found, try OS Environment Variable
         if replicate_api_key is None:
             replicate_api_key = os.environ.get("REPLICATE_API_TOKEN", "")
         assert (
             len(replicate_api_key) != 0
-        ), "Please set your Replicate API key in evadb.yml file (third_party, replicate_api_token) or environment variable (REPLICATE_API_TOKEN)"
+        ), "Please set your Replicate API key using SET REPLICATE_API_TOKEN = '' or set the environment variable (REPLICATE_API_TOKEN)"
         os.environ["REPLICATE_API_TOKEN"] = replicate_api_key
 
         model_id = (
diff --git a/evadb/optimizer/optimizer_context.py b/evadb/optimizer/optimizer_context.py
index 6cb72dfd82..721cb5b928 100644
--- a/evadb/optimizer/optimizer_context.py
+++ b/evadb/optimizer/optimizer_context.py
@@ -43,7 +43,9 @@ def __init__(
         self._task_stack = OptimizerTaskStack()
         self._memo = Memo()
         self._cost_model = cost_model
-        self._rules_manager = rules_manager or RulesManager(db.config)
+        # check if ray is enabled
+        is_ray_enabled = self.db.catalog().get_configuration_catalog_value("ray")
+        self._rules_manager = rules_manager or RulesManager({"ray": is_ray_enabled})
 
     @property
     def db(self):
diff --git a/evadb/optimizer/plan_generator.py b/evadb/optimizer/plan_generator.py
index 5b8c6d2a24..5396f4b939 100644
--- a/evadb/optimizer/plan_generator.py
+++ b/evadb/optimizer/plan_generator.py
@@ -39,7 +39,9 @@ def __init__(
         cost_model: CostModel = None,
     ) -> None:
         self.db = db
-        self.rules_manager = rules_manager or RulesManager(db.config)
+        # check if ray is enabled
+        is_ray_enabled = self.db.catalog().get_configuration_catalog_value("ray")
+        self.rules_manager = rules_manager or RulesManager({"ray": is_ray_enabled})
         self.cost_model = cost_model or CostModel()
 
     def execute_task_stack(self, task_stack: OptimizerTaskStack):
diff --git a/evadb/optimizer/rules/rules.py b/evadb/optimizer/rules/rules.py
index 8e18e4d70b..cb9ff32742 100644
--- a/evadb/optimizer/rules/rules.py
+++ b/evadb/optimizer/rules/rules.py
@@ -836,7 +836,10 @@ def apply(self, before: LogicalCreateIndex, context: OptimizerContext):
             before.index_def,
         )
         child = SeqScanPlan(None, before.project_expr_list, before.table_ref.alias)
-        batch_mem_size = context.db.config.get_value("executor", "batch_mem_size")
+
+        batch_mem_size = context.db.catalog().get_configuration_catalog_value(
+            "batch_mem_size"
+        )
         child.append_child(
             StoragePlan(
                 before.table_ref.table.table_obj,
@@ -933,7 +936,9 @@ def apply(self, before: LogicalGet, context: OptimizerContext):
         # read in a batch from storage engine.
         # Todo: Experiment heuristics.
         after = SeqScanPlan(None, before.target_list, before.alias)
-        batch_mem_size = context.db.config.get_value("executor", "batch_mem_size")
+        batch_mem_size = context.db.catalog().get_configuration_catalog_value(
+            "batch_mem_size"
+        )
         after.append_child(
             StoragePlan(
                 before.table_obj,
diff --git a/evadb/optimizer/rules/rules_manager.py b/evadb/optimizer/rules/rules_manager.py
index e9720b78d5..cc88a9575d 100644
--- a/evadb/optimizer/rules/rules_manager.py
+++ b/evadb/optimizer/rules/rules_manager.py
@@ -17,7 +17,6 @@
 from contextlib import contextmanager
 from typing import List
 
-from evadb.configuration.configuration_manager import ConfigurationManager
 from evadb.optimizer.rules.rules import (
     CacheFunctionExpressionInApply,
     CacheFunctionExpressionInFilter,
@@ -67,7 +66,7 @@
 
 
 class RulesManager:
-    def __init__(self, config: ConfigurationManager):
+    def __init__(self, configs: dict = {}):
         self._logical_rules = [
             LogicalInnerJoinCommutativity(),
             CacheFunctionExpressionInApply(),
@@ -121,9 +120,9 @@ def __init__(self, config: ConfigurationManager):
         # These rules are enabled only if
         # (1) ray is installed and (2) ray is enabled
         # Ray must be installed using pip
-        # It must also be enabled in "evadb.yml"
+        # It must also be enabled using the SET command
         # NOTE: By default, it is not enabled
-        ray_enabled = config.get_value("experimental", "ray")
+        ray_enabled = configs.get("ray", False)
         if is_ray_enabled_and_installed(ray_enabled):
             self._implementation_rules.extend(
                 [
diff --git a/evadb/parser/evadb.lark b/evadb/parser/evadb.lark
index e834d1a7d0..d3f455fbb6 100644
--- a/evadb/parser/evadb.lark
+++ b/evadb/parser/evadb.lark
@@ -84,7 +84,7 @@ set_statement: SET config_name (EQUAL_SYMBOL | TO) config_value
 
 config_name: uid
 
-config_value: (string_literal | decimal_literal | boolean_literal | real_literal)
+config_value: constant
 
 // Data Manipulation Language
 
diff --git a/evadb/server/server.py b/evadb/server/server.py
index 0105279a32..9f33dced0d 100644
--- a/evadb/server/server.py
+++ b/evadb/server/server.py
@@ -49,7 +49,7 @@ async def start_evadb_server(
         self._server = await asyncio.start_server(self.accept_client, host, port)
 
         # load built-in functions
-        mode = self._evadb.config.get_value("core", "mode")
+        mode = self._evadb.catalog().get_configuration_catalog_value("mode")
         init_builtin_functions(self._evadb, mode=mode)
 
         async with self._server:
diff --git a/evadb/third_party/vector_stores/pinecone.py b/evadb/third_party/vector_stores/pinecone.py
index 837c95e579..3bead1a690 100644
--- a/evadb/third_party/vector_stores/pinecone.py
+++ b/evadb/third_party/vector_stores/pinecone.py
@@ -15,7 +15,6 @@
 import os
 from typing import List
 
-from evadb.configuration.configuration_manager import ConfigurationManager
 from evadb.third_party.vector_stores.types import (
     FeaturePayload,
     VectorIndexQuery,
@@ -30,34 +29,30 @@
 
 
 class PineconeVectorStore(VectorStore):
-    def __init__(self, index_name: str) -> None:
+    def __init__(self, index_name: str, **kwargs) -> None:
         try_to_import_pinecone_client()
         global _pinecone_init_done
         # pinecone only allows index names with lower alpha-numeric characters and '-'
         self._index_name = index_name.strip().lower()
 
         # Get the API key.
-        self._api_key = ConfigurationManager().get_value(
-            "third_party", "PINECONE_API_KEY"
-        )
+        self._api_key = kwargs.get("PINECONE_API_KEY")
 
         if not self._api_key:
             self._api_key = os.environ.get("PINECONE_API_KEY")
 
         assert (
             self._api_key
-        ), "Please set your Pinecone API key in evadb.yml file (third_party, pinecone_api_key) or environment variable (PINECONE_KEY). It can be found at Pinecone Dashboard > API Keys > Value"
+        ), "Please set your `PINECONE_API_KEY` using set command or environment variable (PINECONE_KEY). It can be found at Pinecone Dashboard > API Keys > Value"
 
         # Get the environment name.
-        self._environment = ConfigurationManager().get_value(
-            "third_party", "PINECONE_ENV"
-        )
+        self._environment = kwargs.get("PINECONE_ENV")
         if not self._environment:
             self._environment = os.environ.get("PINECONE_ENV")
 
         assert (
             self._environment
-        ), "Please set the Pinecone environment key in evadb.yml file (third_party, pinecone_env) or environment variable (PINECONE_ENV). It can be found Pinecone Dashboard > API Keys > Environment."
+        ), "Please set your `PINECONE_ENV` or environment variable (PINECONE_ENV). It can be found Pinecone Dashboard > API Keys > Environment."
 
         if not _pinecone_init_done:
             # Initialize pinecone.
diff --git a/evadb/third_party/vector_stores/utils.py b/evadb/third_party/vector_stores/utils.py
index e47d24f1f9..c7c5cb75b2 100644
--- a/evadb/third_party/vector_stores/utils.py
+++ b/evadb/third_party/vector_stores/utils.py
@@ -41,6 +41,7 @@ def init_vector_store(
             from evadb.third_party.vector_stores.pinecone import required_params
 
             validate_kwargs(kwargs, required_params, required_params)
+
             return PineconeVectorStore(index_name, **kwargs)
 
         elif vector_store_type == VectorStoreType.CHROMADB:
diff --git a/test/app_tests/test_pandas_qa.py b/test/app_tests/test_pandas_qa.py
index 6976a4699d..e45c927620 100644
--- a/test/app_tests/test_pandas_qa.py
+++ b/test/app_tests/test_pandas_qa.py
@@ -25,7 +25,9 @@ class PandasQATest(unittest.TestCase):
     def setUpClass(cls):
         cls.evadb = get_evadb_for_testing()
         cls.evadb.catalog().reset()
-        os.environ["ray"] = str(cls.evadb.config.get_value("experimental", "ray"))
+        os.environ["ray"] = str(
+            cls.evadb.catalog().get_configuration_catalog_value("ray")
+        )
 
     @classmethod
     def tearDownClass(cls):
diff --git a/test/app_tests/test_privategpt.py b/test/app_tests/test_privategpt.py
index 8a0b46f340..ff534dec22 100644
--- a/test/app_tests/test_privategpt.py
+++ b/test/app_tests/test_privategpt.py
@@ -29,7 +29,9 @@ class PrivateGPTTest(unittest.TestCase):
     def setUpClass(cls):
         cls.evadb = get_evadb_for_testing()
         cls.evadb.catalog().reset()
-        os.environ["ray"] = str(cls.evadb.config.get_value("experimental", "ray"))
+        os.environ["ray"] = str(
+            cls.evadb.catalog().get_configuration_catalog_value("ray")
+        )
 
     @classmethod
     def tearDownClass(cls):
diff --git a/test/app_tests/test_youtube_channel_qa.py b/test/app_tests/test_youtube_channel_qa.py
index 099a1c73c4..edb138588d 100644
--- a/test/app_tests/test_youtube_channel_qa.py
+++ b/test/app_tests/test_youtube_channel_qa.py
@@ -24,7 +24,9 @@ class YoutubeChannelQATest(unittest.TestCase):
     def setUpClass(cls):
         cls.evadb = get_evadb_for_testing()
         cls.evadb.catalog().reset()
-        os.environ["ray"] = str(cls.evadb.config.get_value("experimental", "ray"))
+        os.environ["ray"] = str(
+            cls.evadb.catalog().get_configuration_catalog_value("ray")
+        )
 
     @classmethod
     def tearDownClass(cls):
@@ -39,7 +41,7 @@ def tearDown(self) -> None:
     def test_should_run_youtube_channel_qa_app(self):
         app_path = Path("apps", "youtube_channel_qa", "youtube_channel_qa.py")
         input1 = "\n\n\n"  # Download just one video from the default channel in the default order.
-        # Assuming that OPENAI_KEY is already set as an environment variable
+        # Assuming that OPENAI_API_KEY is already set as an environment variable
         input2 = "What is this video about?\n"  # Question
         input3 = "exit\n"  # Exit
         inputs = input1 + input2 + input3
diff --git a/test/app_tests/test_youtube_qa.py b/test/app_tests/test_youtube_qa.py
index 47d062405b..9402654bdf 100644
--- a/test/app_tests/test_youtube_qa.py
+++ b/test/app_tests/test_youtube_qa.py
@@ -25,7 +25,9 @@ class YoutubeQATest(unittest.TestCase):
     def setUpClass(cls):
         cls.evadb = get_evadb_for_testing()
         cls.evadb.catalog().reset()
-        os.environ["ray"] = str(cls.evadb.config.get_value("experimental", "ray"))
+        os.environ["ray"] = str(
+            cls.evadb.catalog().get_configuration_catalog_value("ray")
+        )
 
     @classmethod
     def tearDownClass(cls):
@@ -41,7 +43,7 @@ def tearDown(self) -> None:
     def test_should_run_youtube_qa_app(self):
         app_path = Path("apps", "youtube_qa", "youtube_qa.py")
         input1 = "yes\n\n"  # Go with online video and default URL
-        # Assuming that OPENAI_KEY is already set as an environment variable
+        # Assuming that OPENAI_API_KEY is already set as an environment variable
         input2 = "What is this video on?\n"  # Question
         input3 = "exit\nexit\n"  # Exit
         inputs = input1 + input2 + input3
diff --git a/test/integration_tests/long/test_create_index_executor.py b/test/integration_tests/long/test_create_index_executor.py
index feabb5bff5..f44ef8f823 100644
--- a/test/integration_tests/long/test_create_index_executor.py
+++ b/test/integration_tests/long/test_create_index_executor.py
@@ -33,7 +33,7 @@
 class CreateIndexTest(unittest.TestCase):
     def _index_save_path(self):
         return str(
-            Path(self.evadb.config.get_value("storage", "index_dir"))
+            Path(self.evadb.catalog().get_configuration_catalog_value("index_dir"))
             / Path("{}_{}.index".format("FAISS", "testCreateIndexName"))
         )
 
diff --git a/test/integration_tests/long/test_error_handling_with_ray.py b/test/integration_tests/long/test_error_handling_with_ray.py
index da134b7ed3..c2d71e7fe3 100644
--- a/test/integration_tests/long/test_error_handling_with_ray.py
+++ b/test/integration_tests/long/test_error_handling_with_ray.py
@@ -32,7 +32,9 @@
 class ErrorHandlingRayTests(unittest.TestCase):
     def setUp(self):
         self.evadb = get_evadb_for_testing()
-        os.environ["ray"] = str(self.evadb.config.get_value("experimental", "ray"))
+        os.environ["ray"] = str(
+            self.evadb.catalog().get_configuration_catalog_value("ray")
+        )
         self.evadb.catalog().reset()
         # Load built-in Functions.
         load_functions_for_testing(self.evadb, mode="debug")
diff --git a/test/integration_tests/long/test_explain_executor.py b/test/integration_tests/long/test_explain_executor.py
index 9d2c8e8ca5..cad1718c36 100644
--- a/test/integration_tests/long/test_explain_executor.py
+++ b/test/integration_tests/long/test_explain_executor.py
@@ -57,7 +57,7 @@ def test_explain_simple_select(self):
             """|__ ProjectPlan\n    |__ SeqScanPlan\n        |__ StoragePlan\n"""
         )
         self.assertEqual(batch.frames[0][0], expected_output)
-        rules_manager = RulesManager(self.evadb.config)
+        rules_manager = RulesManager()
         with disable_rules(rules_manager, [XformLateralJoinToLinearFlow()]):
             custom_plan_generator = PlanGenerator(self.evadb, rules_manager)
             select_query = "EXPLAIN SELECT id, data FROM MyVideo JOIN LATERAL DummyObjectDetector(data) AS T ;"
@@ -68,7 +68,7 @@ def test_explain_simple_select(self):
             self.assertEqual(batch.frames[0][0], expected_output)
 
         # Disable more rules
-        rules_manager = RulesManager(self.evadb.config)
+        rules_manager = RulesManager()
         with disable_rules(
             rules_manager,
             [
diff --git a/test/integration_tests/long/test_load_executor.py b/test/integration_tests/long/test_load_executor.py
index 05a479a8f4..0ca421cf1a 100644
--- a/test/integration_tests/long/test_load_executor.py
+++ b/test/integration_tests/long/test_load_executor.py
@@ -89,7 +89,9 @@ def test_should_form_symlink_to_individual_video(self):
         # check that the file is a symlink to self.video_file_path
         video_file_path = os.path.join(video_dir, video_file)
         self.assertTrue(os.path.islink(video_file_path))
-        self.assertEqual(os.readlink(video_file_path), self.video_file_path)
+        self.assertEqual(
+            os.readlink(video_file_path), str(Path(self.video_file_path).resolve())
+        )
 
         execute_query_fetch_all(self.evadb, "DROP TABLE IF EXISTS MyVideo;")
 
diff --git a/test/integration_tests/long/test_optimizer_rules.py b/test/integration_tests/long/test_optimizer_rules.py
index 27f5189a4b..eb515a19a2 100644
--- a/test/integration_tests/long/test_optimizer_rules.py
+++ b/test/integration_tests/long/test_optimizer_rules.py
@@ -34,7 +34,6 @@
     PushDownFilterThroughApplyAndMerge,
     PushDownFilterThroughJoin,
     ReorderPredicates,
-    XformLateralJoinToLinearFlow,
 )
 from evadb.optimizer.rules.rules_manager import RulesManager, disable_rules
 from evadb.plan_nodes.predicate_plan import PredicatePlan
@@ -88,7 +87,7 @@ def test_should_benefit_from_pushdown(self, merge_mock, evaluate_mock):
         result_without_pushdown_rules = None
 
         with time_without_rule:
-            rules_manager = RulesManager(self.evadb.config)
+            rules_manager = RulesManager()
             with disable_rules(
                 rules_manager,
                 [PushDownFilterThroughApplyAndMerge(), PushDownFilterThroughJoin()],
@@ -108,16 +107,6 @@ def test_should_benefit_from_pushdown(self, merge_mock, evaluate_mock):
         # on all the frames
         self.assertGreater(evaluate_count_without_rule, 3 * evaluate_count_with_rule)
 
-        result_without_xform_rule = None
-        rules_manager = RulesManager(self.evadb.config)
-        with disable_rules(rules_manager, [XformLateralJoinToLinearFlow()]):
-            custom_plan_generator = PlanGenerator(self.evadb, rules_manager)
-            result_without_xform_rule = execute_query_fetch_all(
-                self.evadb, query, plan_generator=custom_plan_generator
-            )
-
-        self.assertEqual(result_without_xform_rule, result_with_rule)
-
     def test_should_pushdown_without_pushdown_join_rule(self):
         query = """SELECT id, obj.labels
                     FROM MyVideo JOIN LATERAL
@@ -132,7 +121,7 @@ def test_should_pushdown_without_pushdown_join_rule(self):
         time_without_rule = Timer()
         result_without_pushdown_join_rule = None
         with time_without_rule:
-            rules_manager = RulesManager(self.evadb.config)
+            rules_manager = RulesManager()
             with disable_rules(rules_manager, [PushDownFilterThroughJoin()]):
                 # should use PushDownFilterThroughApplyAndMerge()
                 custom_plan_generator = PlanGenerator(self.evadb, rules_manager)
@@ -264,7 +253,7 @@ def test_reorder_rule_should_not_have_side_effects(self):
         query = "SELECT id FROM MyVideo WHERE id < 20 AND id > 10;"
         result = execute_query_fetch_all(self.evadb, query)
 
-        rules_manager = RulesManager(self.evadb.config)
+        rules_manager = RulesManager()
         with disable_rules(rules_manager, [ReorderPredicates()]):
             custom_plan_generator = PlanGenerator(self.evadb, rules_manager)
             expected = execute_query_fetch_all(
diff --git a/test/integration_tests/long/test_pytorch.py b/test/integration_tests/long/test_pytorch.py
index f2bd66ba04..b0d1cf6327 100644
--- a/test/integration_tests/long/test_pytorch.py
+++ b/test/integration_tests/long/test_pytorch.py
@@ -49,7 +49,9 @@ class PytorchTest(unittest.TestCase):
     def setUpClass(cls):
         cls.evadb = get_evadb_for_testing()
         cls.evadb.catalog().reset()
-        os.environ["ray"] = str(cls.evadb.config.get_value("experimental", "ray"))
+        os.environ["ray"] = str(
+            cls.evadb.catalog().get_configuration_catalog_value("ray")
+        )
 
         ua_detrac = f"{EvaDB_ROOT_DIR}/data/ua_detrac/ua_detrac.mp4"
         mnist = f"{EvaDB_ROOT_DIR}/data/mnist/mnist.mp4"
@@ -295,7 +297,9 @@ def test_should_run_pytorch_and_similarity(self):
         batch_res = execute_query_fetch_all(self.evadb, select_query)
         img = batch_res.frames["myvideo.data"][0]
 
-        tmp_dir_from_config = self.evadb.config.get_value("storage", "tmp_dir")
+        tmp_dir_from_config = self.evadb.catalog().get_configuration_catalog_value(
+            "tmp_dir"
+        )
 
         img_save_path = os.path.join(tmp_dir_from_config, "dummy.jpg")
         try:
diff --git a/test/integration_tests/long/test_reuse.py b/test/integration_tests/long/test_reuse.py
index 3f41e5fbb0..b35751fbd1 100644
--- a/test/integration_tests/long/test_reuse.py
+++ b/test/integration_tests/long/test_reuse.py
@@ -77,7 +77,7 @@ def _verify_reuse_correctness(self, query, reuse_batch):
         # surfaces when the system is running on low memory. Explicitly calling garbage
         # collection to reduce the memory usage.
         gc.collect()
-        rules_manager = RulesManager(self.evadb.config)
+        rules_manager = RulesManager()
         with disable_rules(
             rules_manager,
             [
diff --git a/test/integration_tests/long/test_s3_load_executor.py b/test/integration_tests/long/test_s3_load_executor.py
index bdd6487249..e6f961de60 100644
--- a/test/integration_tests/long/test_s3_load_executor.py
+++ b/test/integration_tests/long/test_s3_load_executor.py
@@ -41,7 +41,9 @@ def setUp(self):
         self.evadb.catalog().reset()
         self.video_file_path = create_sample_video()
         self.multiple_video_file_path = f"{EvaDB_ROOT_DIR}/data/sample_videos/1"
-        self.s3_download_dir = self.evadb.config.get_value("storage", "s3_download_dir")
+        self.s3_download_dir = self.evadb.catalog().get_configuration_catalog_value(
+            "s3_download_dir"
+        )
 
         """Mocked AWS Credentials for moto."""
         os.environ["AWS_ACCESS_KEY_ID"] = "testing"
diff --git a/test/integration_tests/long/test_similarity.py b/test/integration_tests/long/test_similarity.py
index 8dc7a2e3cc..35f70948f8 100644
--- a/test/integration_tests/long/test_similarity.py
+++ b/test/integration_tests/long/test_similarity.py
@@ -107,7 +107,7 @@ def setUp(self):
 
             # Create an actual image dataset.
             img_save_path = os.path.join(
-                self.evadb.config.get_value("storage", "tmp_dir"),
+                self.evadb.catalog().get_configuration_catalog_value("tmp_dir"),
                 f"test_similar_img{i}.jpg",
             )
             try_to_import_cv2()
diff --git a/test/integration_tests/short/test_set_executor.py b/test/integration_tests/short/test_set_executor.py
index d732681433..2a92ac2f94 100644
--- a/test/integration_tests/short/test_set_executor.py
+++ b/test/integration_tests/short/test_set_executor.py
@@ -36,6 +36,8 @@ def tearDownClass(cls):
     # integration test
     def test_set_execution(self):
         execute_query_fetch_all(self.evadb, "SET OPENAIKEY = 'ABCD';")
-        current_config_value = self.evadb.config.get_value("default", "OPENAIKEY")
+        current_config_value = self.evadb.catalog().get_configuration_catalog_value(
+            "OPENAIKEY"
+        )
 
         self.assertEqual("ABCD", current_config_value)
diff --git a/test/unit_tests/catalog/test_catalog_manager.py b/test/unit_tests/catalog/test_catalog_manager.py
index 6149be34c9..ef7c382473 100644
--- a/test/unit_tests/catalog/test_catalog_manager.py
+++ b/test/unit_tests/catalog/test_catalog_manager.py
@@ -44,7 +44,7 @@ def setUpClass(cls) -> None:
 
     @mock.patch("evadb.catalog.catalog_manager.init_db")
     def test_catalog_bootstrap(self, mocked_db):
-        x = CatalogManager(MagicMock(), MagicMock())
+        x = CatalogManager(MagicMock())
         x._bootstrap_catalog()
         mocked_db.assert_called()
 
@@ -52,7 +52,7 @@ def test_catalog_bootstrap(self, mocked_db):
         "evadb.catalog.catalog_manager.CatalogManager.create_and_insert_table_catalog_entry"
     )
     def test_create_multimedia_table_catalog_entry(self, mock):
-        x = CatalogManager(MagicMock(), MagicMock())
+        x = CatalogManager(MagicMock())
         name = "myvideo"
         x.create_and_insert_multimedia_table_catalog_entry(
             name=name, format_type=FileFormatType.VIDEO
@@ -71,7 +71,7 @@ def test_create_multimedia_table_catalog_entry(self, mock):
     def test_insert_table_catalog_entry_should_create_table_and_columns(
         self, ds_mock, initdb_mock
     ):
-        catalog = CatalogManager(MagicMock(), MagicMock())
+        catalog = CatalogManager(MagicMock())
         file_url = "file1"
         table_name = "name"
 
@@ -88,7 +88,7 @@ def test_insert_table_catalog_entry_should_create_table_and_columns(
     @mock.patch("evadb.catalog.catalog_manager.init_db")
     @mock.patch("evadb.catalog.catalog_manager.TableCatalogService")
     def test_get_table_catalog_entry_when_table_exists(self, ds_mock, initdb_mock):
-        catalog = CatalogManager(MagicMock(), MagicMock())
+        catalog = CatalogManager(MagicMock())
         table_name = "name"
         database_name = "database"
         row_id = 1
@@ -110,7 +110,7 @@ def test_get_table_catalog_entry_when_table_exists(self, ds_mock, initdb_mock):
     def test_get_table_catalog_entry_when_table_doesnot_exists(
         self, dcs_mock, ds_mock, initdb_mock
     ):
-        catalog = CatalogManager(MagicMock(), MagicMock())
+        catalog = CatalogManager(MagicMock())
         table_name = "name"
 
         database_name = "database"
@@ -132,7 +132,7 @@ def test_get_table_catalog_entry_when_table_doesnot_exists(
     def test_insert_function(
         self, checksum_mock, functionmetadata_mock, functionio_mock, function_mock
     ):
-        catalog = CatalogManager(MagicMock(), MagicMock())
+        catalog = CatalogManager(MagicMock())
         function_io_list = [MagicMock()]
         function_metadata_list = [MagicMock()]
         actual = catalog.insert_function_catalog_entry(
@@ -155,7 +155,7 @@ def test_insert_function(
 
     @mock.patch("evadb.catalog.catalog_manager.FunctionCatalogService")
     def test_get_function_catalog_entry_by_name(self, function_mock):
-        catalog = CatalogManager(MagicMock(), MagicMock())
+        catalog = CatalogManager(MagicMock())
         actual = catalog.get_function_catalog_entry_by_name("name")
         function_mock.return_value.get_entry_by_name.assert_called_with("name")
         self.assertEqual(
@@ -164,25 +164,19 @@ def test_get_function_catalog_entry_by_name(self, function_mock):
 
     @mock.patch("evadb.catalog.catalog_manager.FunctionCatalogService")
     def test_delete_function(self, function_mock):
-        CatalogManager(MagicMock(), MagicMock()).delete_function_catalog_entry_by_name(
-            "name"
-        )
+        CatalogManager(MagicMock()).delete_function_catalog_entry_by_name("name")
         function_mock.return_value.delete_entry_by_name.assert_called_with("name")
 
     @mock.patch("evadb.catalog.catalog_manager.FunctionIOCatalogService")
     def test_get_function_outputs(self, function_mock):
         mock_func = function_mock.return_value.get_output_entries_by_function_id
         function_obj = MagicMock(spec=FunctionCatalogEntry)
-        CatalogManager(MagicMock(), MagicMock()).get_function_io_catalog_output_entries(
-            function_obj
-        )
+        CatalogManager(MagicMock()).get_function_io_catalog_output_entries(function_obj)
         mock_func.assert_called_once_with(function_obj.row_id)
 
     @mock.patch("evadb.catalog.catalog_manager.FunctionIOCatalogService")
     def test_get_function_inputs(self, function_mock):
         mock_func = function_mock.return_value.get_input_entries_by_function_id
         function_obj = MagicMock(spec=FunctionCatalogEntry)
-        CatalogManager(MagicMock(), MagicMock()).get_function_io_catalog_input_entries(
-            function_obj
-        )
+        CatalogManager(MagicMock()).get_function_io_catalog_input_entries(function_obj)
         mock_func.assert_called_once_with(function_obj.row_id)
diff --git a/test/unit_tests/executor/test_execution_context.py b/test/unit_tests/executor/test_execution_context.py
index 28383949e9..8d2a4caae3 100644
--- a/test/unit_tests/executor/test_execution_context.py
+++ b/test/unit_tests/executor/test_execution_context.py
@@ -21,28 +21,24 @@
 
 
 class ExecutionContextTest(unittest.TestCase):
-    @patch("evadb.executor.execution_context.ConfigurationManager")
     @patch("evadb.executor.execution_context.get_gpu_count")
     @patch("evadb.executor.execution_context.is_gpu_available")
     def test_CUDA_VISIBLE_DEVICES_gets_populated_from_config(
-        self, gpu_check, get_gpu_count, cfm
+        self, gpu_check, get_gpu_count
     ):
         gpu_check.return_value = True
         get_gpu_count.return_value = 3
-        cfm.return_value.get_value.return_value = [0, 1]
-        context = Context()
+        context = Context([0, 1])
 
         self.assertEqual(context.gpus, [0, 1])
 
-    @patch("evadb.executor.execution_context.ConfigurationManager")
     @patch("evadb.executor.execution_context.os")
     @patch("evadb.executor.execution_context.get_gpu_count")
     @patch("evadb.executor.execution_context.is_gpu_available")
     def test_CUDA_VISIBLE_DEVICES_gets_populated_from_environment_if_no_config(
-        self, is_gpu, get_gpu_count, os, cfm
+        self, is_gpu, get_gpu_count, os
     ):
         is_gpu.return_value = True
-        cfm.return_value.get_value.return_value = []
         get_gpu_count.return_value = 3
         os.environ.get.return_value = "0,1"
         context = Context()
@@ -50,57 +46,45 @@ def test_CUDA_VISIBLE_DEVICES_gets_populated_from_environment_if_no_config(
 
         self.assertEqual(context.gpus, [0, 1])
 
-    @patch("evadb.executor.execution_context.ConfigurationManager")
     @patch("evadb.executor.execution_context.os")
     @patch("evadb.executor.execution_context.get_gpu_count")
     @patch("evadb.executor.execution_context.is_gpu_available")
     def test_CUDA_VISIBLE_DEVICES_should_be_empty_if_nothing_provided(
-        self, gpu_check, get_gpu_count, os, cfm
+        self, gpu_check, get_gpu_count, os
     ):
         gpu_check.return_value = True
         get_gpu_count.return_value = 3
-        cfm.return_value.get_value.return_value = []
         os.environ.get.return_value = ""
         context = Context()
         os.environ.get.assert_called_with("CUDA_VISIBLE_DEVICES", "")
 
         self.assertEqual(context.gpus, [])
 
-    @patch("evadb.executor.execution_context.ConfigurationManager")
     @patch("evadb.executor.execution_context.os")
     @patch("evadb.executor.execution_context.is_gpu_available")
-    def test_gpus_ignores_config_if_no_gpu_available(self, gpu_check, os, cfm):
+    def test_gpus_ignores_config_if_no_gpu_available(self, gpu_check, os):
         gpu_check.return_value = False
-        cfm.return_value.get_value.return_value = [0, 1, 2]
         os.environ.get.return_value = "0,1,2"
-        context = Context()
+        context = Context([0, 1, 2])
 
         self.assertEqual(context.gpus, [])
 
-    @patch("evadb.executor.execution_context.ConfigurationManager")
     @patch("evadb.executor.execution_context.os")
     @patch("evadb.executor.execution_context.is_gpu_available")
-    def test_gpu_device_should_return_NO_GPU_if_GPU_not_available(
-        self, gpu_check, os, cfm
-    ):
+    def test_gpu_device_should_return_NO_GPU_if_GPU_not_available(self, gpu_check, os):
         gpu_check.return_value = True
-        cfm.return_value.get_value.return_value = []
         os.environ.get.return_value = ""
         context = Context()
         os.environ.get.assert_called_with("CUDA_VISIBLE_DEVICES", "")
 
         self.assertEqual(context.gpu_device(), NO_GPU)
 
-    @patch("evadb.executor.execution_context.ConfigurationManager")
     @patch("evadb.executor.execution_context.get_gpu_count")
     @patch("evadb.executor.execution_context.is_gpu_available")
-    def test_should_return_random_gpu_ID_if_available(
-        self, gpu_check, get_gpu_count, cfm
-    ):
+    def test_should_return_random_gpu_ID_if_available(self, gpu_check, get_gpu_count):
         gpu_check.return_value = True
         get_gpu_count.return_value = 1
-        cfm.return_value.get_value.return_value = [0, 1, 2]
-        context = Context()
+        context = Context([0, 1, 2])
 
         selected_device = context.gpu_device()
         self.assertEqual(selected_device, 0)
diff --git a/test/unit_tests/optimizer/rules/test_batch_mem_size.py b/test/unit_tests/optimizer/rules/test_batch_mem_size.py
index 70033b014f..68f84db803 100644
--- a/test/unit_tests/optimizer/rules/test_batch_mem_size.py
+++ b/test/unit_tests/optimizer/rules/test_batch_mem_size.py
@@ -38,9 +38,7 @@ def test_batch_mem_size_for_sqlite_storage_engine(self):
         the storage engine.
         """
         test_batch_mem_size = 100
-        self.evadb.config.update_value(
-            "executor", "batch_mem_size", test_batch_mem_size
-        )
+        execute_query_fetch_all(self.evadb, f"SET batch_mem_size={test_batch_mem_size}")
         create_table_query = """
             CREATE TABLE IF NOT EXISTS MyCSV (
                 id INTEGER UNIQUE,
diff --git a/test/unit_tests/optimizer/rules/test_rules.py b/test/unit_tests/optimizer/rules/test_rules.py
index e71dbef7cc..18f8dc51d4 100644
--- a/test/unit_tests/optimizer/rules/test_rules.py
+++ b/test/unit_tests/optimizer/rules/test_rules.py
@@ -168,8 +168,8 @@ def test_supported_rules(self):
             XformExtractObjectToLinearFlow(),
         ]
         rewrite_rules = (
-            RulesManager(self.evadb.config).stage_one_rewrite_rules
-            + RulesManager(self.evadb.config).stage_two_rewrite_rules
+            RulesManager().stage_one_rewrite_rules
+            + RulesManager().stage_two_rewrite_rules
         )
         self.assertEqual(
             len(supported_rewrite_rules),
@@ -187,18 +187,15 @@ def test_supported_rules(self):
         ]
         self.assertEqual(
             len(supported_logical_rules),
-            len(RulesManager(self.evadb.config).logical_rules),
+            len(RulesManager().logical_rules),
         )
 
         for rule in supported_logical_rules:
             self.assertTrue(
-                any(
-                    isinstance(rule, type(x))
-                    for x in RulesManager(self.evadb.config).logical_rules
-                )
+                any(isinstance(rule, type(x)) for x in RulesManager().logical_rules)
             )
 
-        ray_enabled = self.evadb.config.get_value("experimental", "ray")
+        ray_enabled = self.evadb.catalog().get_configuration_catalog_value("ray")
         ray_enabled_and_installed = is_ray_enabled_and_installed(ray_enabled)
 
         # For the current version, we choose either the distributed or the
@@ -244,14 +241,14 @@ def test_supported_rules(self):
             supported_implementation_rules.append(LogicalExchangeToPhysical())
         self.assertEqual(
             len(supported_implementation_rules),
-            len(RulesManager(self.evadb.config).implementation_rules),
+            len(RulesManager().implementation_rules),
         )
 
         for rule in supported_implementation_rules:
             self.assertTrue(
                 any(
                     isinstance(rule, type(x))
-                    for x in RulesManager(self.evadb.config).implementation_rules
+                    for x in RulesManager().implementation_rules
                 )
             )
 
@@ -280,7 +277,7 @@ def test_embed_sample_into_get_does_not_work_with_structured_data(self):
         self.assertFalse(rule.check(logi_sample, MagicMock()))
 
     def test_disable_rules(self):
-        rules_manager = RulesManager(self.evadb.config)
+        rules_manager = RulesManager()
         with disable_rules(rules_manager, [PushDownFilterThroughApplyAndMerge()]):
             self.assertFalse(
                 any(
diff --git a/test/unit_tests/optimizer/test_optimizer_task.py b/test/unit_tests/optimizer/test_optimizer_task.py
index 6230dfb164..c9100d6eff 100644
--- a/test/unit_tests/optimizer/test_optimizer_task.py
+++ b/test/unit_tests/optimizer/test_optimizer_task.py
@@ -51,13 +51,11 @@ def test_abstract_optimizer_task(self):
             task.execute()
 
     def top_down_rewrite(self, opr):
-        opt_cxt = OptimizerContext(MagicMock(), CostModel(), RulesManager(MagicMock()))
+        opt_cxt = OptimizerContext(MagicMock(), CostModel(), RulesManager())
         grp_expr = opt_cxt.add_opr_to_group(opr)
         root_grp_id = grp_expr.group_id
         opt_cxt.task_stack.push(
-            TopDownRewrite(
-                grp_expr, RulesManager(MagicMock()).stage_one_rewrite_rules, opt_cxt
-            )
+            TopDownRewrite(grp_expr, RulesManager().stage_one_rewrite_rules, opt_cxt)
         )
         self.execute_task_stack(opt_cxt.task_stack)
         return opt_cxt, root_grp_id
@@ -65,9 +63,7 @@ def top_down_rewrite(self, opr):
     def bottom_up_rewrite(self, root_grp_id, opt_cxt):
         grp_expr = opt_cxt.memo.groups[root_grp_id].logical_exprs[0]
         opt_cxt.task_stack.push(
-            BottomUpRewrite(
-                grp_expr, RulesManager(MagicMock()).stage_two_rewrite_rules, opt_cxt
-            )
+            BottomUpRewrite(grp_expr, RulesManager().stage_two_rewrite_rules, opt_cxt)
         )
         self.execute_task_stack(opt_cxt.task_stack)
         return opt_cxt, root_grp_id
diff --git a/test/unit_tests/test_dalle.py b/test/unit_tests/test_dalle.py
index a7a9536fa2..c434a4db4a 100644
--- a/test/unit_tests/test_dalle.py
+++ b/test/unit_tests/test_dalle.py
@@ -41,7 +41,7 @@ def setUp(self) -> None:
     def tearDown(self) -> None:
         execute_query_fetch_all(self.evadb, "DROP TABLE IF EXISTS ImageGen;")
 
-    @patch.dict("os.environ", {"OPENAI_KEY": "mocked_openai_key"})
+    @patch.dict("os.environ", {"OPENAI_API_KEY": "mocked_openai_key"})
     @patch("requests.get")
     @patch("openai.Image.create", return_value={"data": [{"url": "mocked_url"}]})
     def test_dalle_image_generation(self, mock_openai_create, mock_requests_get):
diff --git a/test/unit_tests/test_eva_cmd_client.py b/test/unit_tests/test_eva_cmd_client.py
index 0e1f67ee91..90a7f4a152 100644
--- a/test/unit_tests/test_eva_cmd_client.py
+++ b/test/unit_tests/test_eva_cmd_client.py
@@ -16,14 +16,13 @@
 import asyncio
 import unittest
 
-import pytest
-from mock import call, patch
+from mock import patch
 
-from evadb.configuration.configuration_manager import ConfigurationManager
 from evadb.evadb_cmd_client import evadb_client, main
+from evadb.evadb_config import BASE_EVADB_CONFIG
 
 
-@pytest.mark.skip
+# @pytest.mark.skip
 class CMDClientTest(unittest.TestCase):
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
@@ -81,17 +80,10 @@ def test_main_without_cmd_arguments(
             [],
         )
 
-        # Mock the ConfigurationManager's get_value method
-        with patch.object(
-            ConfigurationManager, "get_value", return_value="default_value"
-        ) as mock_get_value:
-            # Call the function under test
-            main()
-
-            # Assert that the mocked functions were called correctly
-            mock_start_cmd_client.assert_called_once_with(
-                "default_value", "default_value"
-            )
-            mock_get_value.assert_has_calls(
-                [call("server", "host"), call("server", "port")]
-            )
+        # Call the function under test
+        main()
+
+        # Assert that the mocked functions were called correctly
+        mock_start_cmd_client.assert_called_once_with(
+            BASE_EVADB_CONFIG["host"], BASE_EVADB_CONFIG["port"]
+        )
diff --git a/test/util.py b/test/util.py
index 23eaeb35e8..3a23a6ff5c 100644
--- a/test/util.py
+++ b/test/util.py
@@ -30,8 +30,12 @@
 from evadb.binder.statement_binder import StatementBinder
 from evadb.binder.statement_binder_context import StatementBinderContext
 from evadb.catalog.catalog_type import NdArrayType
-from evadb.configuration.configuration_manager import ConfigurationManager
-from evadb.configuration.constants import EvaDB_DATABASE_DIR, EvaDB_INSTALLATION_DIR
+from evadb.configuration.constants import (
+    S3_DOWNLOAD_DIR,
+    TMP_DIR,
+    EvaDB_DATABASE_DIR,
+    EvaDB_INSTALLATION_DIR,
+)
 from evadb.database import init_evadb_instance
 from evadb.expression.function_expression import FunctionExpression
 from evadb.functions.abstract.abstract_function import (
@@ -67,7 +71,7 @@ def suffix_pytest_xdist_worker_id_to_dir(path: str):
         path = Path(str(worker_id) + "_" + path)
     except KeyError:
         pass
-    return path
+    return Path(path)
 
 
 def get_evadb_for_testing(uri: str = None):
@@ -79,14 +83,12 @@ def get_evadb_for_testing(uri: str = None):
 
 def get_tmp_dir():
     db_dir = suffix_pytest_xdist_worker_id_to_dir(EvaDB_DATABASE_DIR)
-    config = ConfigurationManager(Path(db_dir))
-    return config.get_value("storage", "tmp_dir")
+    return db_dir / TMP_DIR
 
 
 def s3_dir():
     db_dir = suffix_pytest_xdist_worker_id_to_dir(EvaDB_DATABASE_DIR)
-    config = ConfigurationManager(Path(db_dir))
-    return config.get_value("storage", "s3_download_dir")
+    return db_dir / S3_DOWNLOAD_DIR
 
 
 EvaDB_TEST_DATA_DIR = Path(EvaDB_INSTALLATION_DIR).parent

From a6fdd6a68def142ed227236d46845154b93a338c Mon Sep 17 00:00:00 2001
From: Gaurav Tarlok Kakkar <gaurav21776@gmail.com>
Date: Thu, 19 Oct 2023 14:16:50 -0400
Subject: [PATCH 09/64] Fix: minor typo (#1307)

---
 .circleci/config.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index cb7ad985d9..af2c5ea078 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -234,7 +234,7 @@ jobs:
               else
                 pip install ".[dev,pinecone,chromadb]" # ray < 2.5.0 does not work with python 3.11 ray-project/ray#33864
               fi
-              python -c "import evadb;cur=evadb.connect().cursor();cur.query('SET ray=True';)"
+              python -c "import evadb;cur=evadb.connect().cursor();cur.query('SET ray=True;')"
             else
               if [ $PY_VERSION != "3.11" ]; then
                 pip install ".[dev,ludwig,qdrant,pinecone,chromadb]"

From c637a714c1e68abb5530b20e3ac0d723fe1da3a4 Mon Sep 17 00:00:00 2001
From: K S Lohith <32676813+kslohith@users.noreply.github.com>
Date: Fri, 20 Oct 2023 11:10:57 -0400
Subject: [PATCH 10/64] SnowFlake Integration for EvaDB (#1289)

Please suggest if this feature needs more test cases

---------

Co-authored-by: Lohith K S <lohithks@Lohiths-MacBook-Pro-2.local>
---
 docs/_toc.yml                                 |   1 +
 docs/source/reference/databases/snowflake.rst |  47 +++++
 evadb/third_party/databases/interface.py      |   2 +
 .../databases/snowflake/__init__.py           |  15 ++
 .../databases/snowflake/requirements.txt      |   3 +
 .../databases/snowflake/snowflake_handler.py  | 184 ++++++++++++++++++
 .../third_party_tests/test_native_executor.py |  22 +++
 .../test_snowflake_native_storage_engine.py   | 144 ++++++++++++++
 8 files changed, 418 insertions(+)
 create mode 100644 docs/source/reference/databases/snowflake.rst
 create mode 100644 evadb/third_party/databases/snowflake/__init__.py
 create mode 100644 evadb/third_party/databases/snowflake/requirements.txt
 create mode 100644 evadb/third_party/databases/snowflake/snowflake_handler.py
 create mode 100644 test/unit_tests/storage/test_snowflake_native_storage_engine.py

diff --git a/docs/_toc.yml b/docs/_toc.yml
index 6a37f98261..6739643319 100644
--- a/docs/_toc.yml
+++ b/docs/_toc.yml
@@ -71,6 +71,7 @@ parts:
           - file: source/reference/databases/mariadb
           - file: source/reference/databases/clickhouse
           - file: source/reference/databases/github
+          - file: source/reference/databases/snowflake
 
       - file: source/reference/vector_databases/index
         title: Vector Databases
diff --git a/docs/source/reference/databases/snowflake.rst b/docs/source/reference/databases/snowflake.rst
new file mode 100644
index 0000000000..239389e186
--- /dev/null
+++ b/docs/source/reference/databases/snowflake.rst
@@ -0,0 +1,47 @@
+Snowflake
+==========
+
+The connection to Snowflake is based on the `snowflake-connector-python <https://pypi.org/project/snowflake-connector-python/>`_ library.
+
+Dependency
+----------
+
+* snowflake-connector-python
+
+Parameters
+----------
+
+Required:
+
+* `user` is the database user.
+* `password` is the snowflake account password.
+* `database` is the database name.
+* `warehouse` is the snowflake warehouse name.
+* `account` is the snowflake account number ( can be found in the url ).
+* `schema` is the schema name.
+
+
+.. warning:: 
+
+     Provide the parameters of an already running ``Snowflake`` Data Warehouse. EvaDB only connects to an existing ``Snowflake`` Data Warehouse.
+
+Create Connection
+-----------------
+
+.. code-block:: text
+
+   CREATE DATABASE snowflake_data WITH ENGINE = 'snowflake', PARAMETERS = {
+        "user": "<username>",
+        "password": "<my_password>"
+        "account": "<account_number>",
+        "database": "EVADB",
+        "warehouse":  "COMPUTE_WH",
+        "schema": "SAMPLE_DATA"
+   };
+
+.. warning::
+
+    | In Snowflake Terminology, ``Database`` and ``Schema`` refer to the following.
+    | A database is a logical grouping of schemas. Each database belongs to a single Snowflake account.
+    | A schema is a logical grouping of database objects (tables, views, etc.). Each schema belongs to a single database.
+
diff --git a/evadb/third_party/databases/interface.py b/evadb/third_party/databases/interface.py
index 5e30dc8220..e4cd86151c 100644
--- a/evadb/third_party/databases/interface.py
+++ b/evadb/third_party/databases/interface.py
@@ -44,6 +44,8 @@ def _get_database_handler(engine: str, **kwargs):
         return mod.MariaDbHandler(engine, **kwargs)
     elif engine == "clickhouse":
         return mod.ClickHouseHandler(engine, **kwargs)
+    elif engine == "snowflake":
+        return mod.SnowFlakeDbHandler(engine, **kwargs)
     elif engine == "github":
         return mod.GithubHandler(engine, **kwargs)
     else:
diff --git a/evadb/third_party/databases/snowflake/__init__.py b/evadb/third_party/databases/snowflake/__init__.py
new file mode 100644
index 0000000000..c881047fe1
--- /dev/null
+++ b/evadb/third_party/databases/snowflake/__init__.py
@@ -0,0 +1,15 @@
+# coding=utf-8
+# Copyright 2018-2023 EvaDB
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""snowflake integrations"""
diff --git a/evadb/third_party/databases/snowflake/requirements.txt b/evadb/third_party/databases/snowflake/requirements.txt
new file mode 100644
index 0000000000..c366baf101
--- /dev/null
+++ b/evadb/third_party/databases/snowflake/requirements.txt
@@ -0,0 +1,3 @@
+snowflake-connector-python
+pyarrow                   
+pandas                    
\ No newline at end of file
diff --git a/evadb/third_party/databases/snowflake/snowflake_handler.py b/evadb/third_party/databases/snowflake/snowflake_handler.py
new file mode 100644
index 0000000000..0b5ba4553d
--- /dev/null
+++ b/evadb/third_party/databases/snowflake/snowflake_handler.py
@@ -0,0 +1,184 @@
+# coding=utf-8
+# Copyright 2018-2023 EvaDB
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import datetime
+
+import pandas as pd
+import snowflake.connector
+
+from evadb.third_party.databases.types import (
+    DBHandler,
+    DBHandlerResponse,
+    DBHandlerStatus,
+)
+
+
+class SnowFlakeDbHandler(DBHandler):
+
+    """
+    Class for implementing the SnowFlake DB handler as a backend store for
+    EvaDB.
+    """
+
+    def __init__(self, name: str, **kwargs):
+        """
+        Initialize the handler.
+        Args:
+            name (str): name of the DB handler instance
+            **kwargs: arbitrary keyword arguments for establishing the connection.
+        """
+        super().__init__(name)
+        self.user = kwargs.get("user")
+        self.password = kwargs.get("password")
+        self.database = kwargs.get("database")
+        self.warehouse = kwargs.get("warehouse")
+        self.account = kwargs.get("account")
+        self.schema = kwargs.get("schema")
+
+    def connect(self):
+        """
+        Establish connection to the database.
+        Returns:
+          DBHandlerStatus
+        """
+        try:
+            self.connection = snowflake.connector.connect(
+                user=self.user,
+                password=self.password,
+                database=self.database,
+                warehouse=self.warehouse,
+                schema=self.schema,
+                account=self.account,
+            )
+            # Auto commit is off by default.
+            self.connection.autocommit = True
+            return DBHandlerStatus(status=True)
+        except snowflake.connector.errors.Error as e:
+            return DBHandlerStatus(status=False, error=str(e))
+
+    def disconnect(self):
+        """
+        Disconnect from the database.
+        """
+        if self.connection:
+            self.connection.close()
+
+    def check_connection(self) -> DBHandlerStatus:
+        """
+        Method for checking the status of database connection.
+        Returns:
+          DBHandlerStatus
+        """
+        if self.connection:
+            return DBHandlerStatus(status=True)
+        else:
+            return DBHandlerStatus(status=False, error="Not connected to the database.")
+
+    def get_tables(self) -> DBHandlerResponse:
+        """
+        Method to get the list of tables from database.
+        Returns:
+          DBHandlerStatus
+        """
+        if not self.connection:
+            return DBHandlerResponse(data=None, error="Not connected to the database.")
+
+        try:
+            query = f"SELECT table_name as table_name FROM information_schema.tables WHERE table_schema='{self.schema}'"
+            cursor = self.connection.cursor()
+            cursor.execute(query)
+            tables_df = self._fetch_results_as_df(cursor)
+            return DBHandlerResponse(data=tables_df)
+        except snowflake.connector.errors.Error as e:
+            return DBHandlerResponse(data=None, error=str(e))
+
+    def get_columns(self, table_name: str) -> DBHandlerResponse:
+        """
+        Method to retrieve the columns of the specified table from the database.
+        Args:
+          table_name (str): name of the table whose columns are to be retrieved.
+        Returns:
+          DBHandlerStatus
+        """
+        if not self.connection:
+            return DBHandlerResponse(data=None, error="Not connected to the database.")
+
+        try:
+            query = f"SELECT column_name as name, data_type as dtype FROM information_schema.columns WHERE table_name='{table_name}'"
+            cursor = self.connection.cursor()
+            cursor.execute(query)
+            columns_df = self._fetch_results_as_df(cursor)
+            columns_df["dtype"] = columns_df["dtype"].apply(
+                self._snowflake_to_python_types
+            )
+            return DBHandlerResponse(data=columns_df)
+        except snowflake.connector.errors.Error as e:
+            return DBHandlerResponse(data=None, error=str(e))
+
+    def _fetch_results_as_df(self, cursor):
+        """
+        Fetch results from the cursor for the executed query and return the
+        query results as dataframe.
+        """
+        try:
+            res = cursor.fetchall()
+            res_df = pd.DataFrame(
+                res, columns=[desc[0].lower() for desc in cursor.description]
+            )
+            return res_df
+        except snowflake.connector.errors.ProgrammingError as e:
+            if str(e) == "no results to fetch":
+                return pd.DataFrame({"status": ["success"]})
+            raise e
+
+    def execute_native_query(self, query_string: str) -> DBHandlerResponse:
+        """
+        Executes the native query on the database.
+        Args:
+            query_string (str): query in native format
+        Returns:
+            DBHandlerResponse
+        """
+        if not self.connection:
+            return DBHandlerResponse(data=None, error="Not connected to the database.")
+
+        try:
+            cursor = self.connection.cursor()
+            cursor.execute(query_string)
+            return DBHandlerResponse(data=self._fetch_results_as_df(cursor))
+        except snowflake.connector.errors.Error as e:
+            return DBHandlerResponse(data=None, error=str(e))
+
+    def _snowflake_to_python_types(self, snowflake_type: str):
+        mapping = {
+            "TEXT": str,
+            "NUMBER": int,
+            "INT": int,
+            "DECIMAL": float,
+            "STRING": str,
+            "CHAR": str,
+            "BOOLEAN": bool,
+            "BINARY": bytes,
+            "DATE": datetime.date,
+            "TIME": datetime.time,
+            "TIMESTAMP": datetime.datetime
+            # Add more mappings as needed
+        }
+
+        if snowflake_type in mapping:
+            return mapping[snowflake_type]
+        else:
+            raise Exception(
+                f"Unsupported column {snowflake_type} encountered in the snowflake. Please raise a feature request!"
+            )
diff --git a/test/third_party_tests/test_native_executor.py b/test/third_party_tests/test_native_executor.py
index 7eaf27cb85..879435f866 100644
--- a/test/third_party_tests/test_native_executor.py
+++ b/test/third_party_tests/test_native_executor.py
@@ -228,6 +228,28 @@ def test_should_run_query_in_clickhouse(self):
         self._execute_native_query()
         self._execute_evadb_query()
 
+    @pytest.mark.skip(
+        reason="Snowflake does not come with a free version of account, so integration test is not feasible"
+    )
+    def test_should_run_query_in_snowflake(self):
+        # Create database.
+        params = {
+            "user": "eva",
+            "password": "password",
+            "account": "account_number",
+            "database": "EVADB",
+            "schema": "SAMPLE_DATA",
+            "warehouse": "warehouse",
+        }
+        query = f"""CREATE DATABASE test_data_source
+                    WITH ENGINE = "snowflake",
+                    PARAMETERS = {params};"""
+        execute_query_fetch_all(self.evadb, query)
+
+        # Test executions.
+        self._execute_native_query()
+        self._execute_evadb_query()
+
     def test_should_run_query_in_sqlite(self):
         # Create database.
         import os
diff --git a/test/unit_tests/storage/test_snowflake_native_storage_engine.py b/test/unit_tests/storage/test_snowflake_native_storage_engine.py
new file mode 100644
index 0000000000..50fcea23b3
--- /dev/null
+++ b/test/unit_tests/storage/test_snowflake_native_storage_engine.py
@@ -0,0 +1,144 @@
+# coding=utf-8
+# Copyright 2018-2023 EvaDB
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import sys
+import unittest
+from test.util import get_evadb_for_testing
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+from evadb.catalog.models.utils import DatabaseCatalogEntry
+from evadb.server.command_handler import execute_query_fetch_all
+
+sys.modules["snowflake"] = MagicMock()
+sys.modules["snowflake.connector"] = MagicMock()
+
+
+class NativeQueryResponse:
+    def __init__(self):
+        self.error = None
+        self.data = None
+
+
+@pytest.mark.notparallel
+class SnowFlakeNativeStorageEngineTest(unittest.TestCase):
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+
+    def get_snowflake_params(self):
+        return {
+            "database": "evadb.db",
+        }
+
+    def setUp(self):
+        connection_params = self.get_snowflake_params()
+        self.evadb = get_evadb_for_testing()
+
+        # Create all class level patches
+        self.get_database_catalog_entry_patcher = patch(
+            "evadb.catalog.catalog_manager.CatalogManager.get_database_catalog_entry"
+        )
+        self.get_database_catalog_entry_mock = (
+            self.get_database_catalog_entry_patcher.start()
+        )
+
+        self.execute_native_query_patcher = patch(
+            "evadb.third_party.databases.snowflake.snowflake_handler.SnowFlakeDbHandler.execute_native_query"
+        )
+        self.execute_native_query_mock = self.execute_native_query_patcher.start()
+
+        self.connect_patcher = patch(
+            "evadb.third_party.databases.snowflake.snowflake_handler.SnowFlakeDbHandler.connect"
+        )
+        self.connect_mock = self.connect_patcher.start()
+
+        self.disconnect_patcher = patch(
+            "evadb.third_party.databases.snowflake.snowflake_handler.SnowFlakeDbHandler.disconnect"
+        )
+        self.disconnect_mock = self.disconnect_patcher.start()
+
+        # set return values
+        self.execute_native_query_mock.return_value = NativeQueryResponse()
+        self.get_database_catalog_entry_mock.return_value = DatabaseCatalogEntry(
+            name="test_data_source",
+            engine="snowflake",
+            params=connection_params,
+            row_id=1,
+        )
+
+    def tearDown(self):
+        self.get_database_catalog_entry_patcher.stop()
+        self.execute_native_query_patcher.stop()
+        self.connect_patcher.stop()
+        self.disconnect_patcher.stop()
+
+    def test_execute_snowflake_select_query(self):
+        execute_query_fetch_all(
+            self.evadb,
+            """USE test_data_source {
+                SELECT * FROM test_table
+            }""",
+        )
+
+        self.connect_mock.assert_called_once()
+        self.execute_native_query_mock.assert_called_once()
+        self.get_database_catalog_entry_mock.assert_called_once()
+        self.disconnect_mock.assert_called_once()
+
+    def test_execute_snowflake_insert_query(self):
+        execute_query_fetch_all(
+            self.evadb,
+            """USE test_data_source {
+                INSERT INTO test_table (
+                    name, age, comment
+                ) VALUES (
+                    'val', 5, 'testing'
+                )
+            }""",
+        )
+        self.connect_mock.assert_called_once()
+        self.execute_native_query_mock.assert_called_once()
+        self.get_database_catalog_entry_mock.assert_called_once()
+        self.disconnect_mock.assert_called_once()
+
+    def test_execute_snowflake_update_query(self):
+        execute_query_fetch_all(
+            self.evadb,
+            """USE test_data_source {
+                UPDATE test_table
+                SET comment = 'update'
+                WHERE age > 5
+            }""",
+        )
+
+        self.connect_mock.assert_called_once()
+        self.execute_native_query_mock.assert_called_once()
+        self.get_database_catalog_entry_mock.assert_called_once()
+        self.disconnect_mock.assert_called_once()
+
+    def test_execute_snowflake_delete_query(self):
+        execute_query_fetch_all(
+            self.evadb,
+            """USE test_data_source {
+                DELETE FROM test_table
+                WHERE age < 5
+            }""",
+        )
+
+        self.connect_mock.assert_called_once()
+        self.execute_native_query_mock.assert_called_once()
+        self.get_database_catalog_entry_mock.assert_called_once()
+        self.disconnect_mock.assert_called_once()

From 0f2d1d4531ccf7548fb9b39d7ecc23126efb2a18 Mon Sep 17 00:00:00 2001
From: Ankith Reddy Chitti <chittiankith@gmail.com>
Date: Sun, 22 Oct 2023 18:51:55 -0400
Subject: [PATCH 11/64] add documentation

---
 docs/source/overview/connect-to-data-sources.rst | 8 +++++++-
 docs/source/reference/evaql.rst                  | 2 ++
 2 files changed, 9 insertions(+), 1 deletion(-)

diff --git a/docs/source/overview/connect-to-data-sources.rst b/docs/source/overview/connect-to-data-sources.rst
index 4651a11e2b..8f7526ae36 100644
--- a/docs/source/overview/connect-to-data-sources.rst
+++ b/docs/source/overview/connect-to-data-sources.rst
@@ -6,6 +6,12 @@ EvaDB supports a wide range of data sources including SQL database systems, obje
 Connect to an Existing SQL Database System
 ------------------------------------------
 
+.. note::
+
+   Connecting to an existing SQL database is unnecessary for inserting or querying data in Eva. This step is only required if
+   users intend to work with data already present in some SQL DB. Eva has native storage support for SQLite, which can be utilized without
+   establishing any connection. Refer to :ref:`EvaQL<evaql>` page for more details.
+
 1. Use the :ref:`CREATE DATABASE<create-database>` statement to connect to an **existing** SQL database.
 
 .. code-block::
@@ -82,6 +88,6 @@ You can use the ``CREATE INDEX`` statement to connect to an existing vector data
 
 .. note::
 
-   Go over the :ref:`CREATE INDEX<create-index>` statement for more details. The :ref:`Vector Databases<databases>` page lists all the vector database systems that EvaDB currently supports.
+   Go over the :ref:`CREATE INDEX<create-index>` statement for more details. The :ref:`Vector Databases<vector_databases>` page lists all the vector database systems that EvaDB currently supports.
 
 .. include:: ../shared/designs/design3.rst
\ No newline at end of file
diff --git a/docs/source/reference/evaql.rst b/docs/source/reference/evaql.rst
index 04dda09fd9..d30a4c5318 100644
--- a/docs/source/reference/evaql.rst
+++ b/docs/source/reference/evaql.rst
@@ -1,3 +1,5 @@
+.. _evaql:
+
 EvaDB Query Language (EvaQL)
 ============================
 

From e0264603b69d9267d75c5dfbe62ab5a2fe1dd8cc Mon Sep 17 00:00:00 2001
From: Jineet Desai <jdesai61@gatech.edu>
Date: Wed, 18 Oct 2023 23:52:21 -0400
Subject: [PATCH 12/64] Starting the changes for XGBoost classification
 integration.

---
 data/classification/Employee.csv              | 4654 +++++++++++++++++
 evadb/configuration/constants.py              |    1 +
 evadb/executor/create_function_executor.py    |    3 +-
 .../long/test_model_train.py                  |   43 +-
 4 files changed, 4699 insertions(+), 2 deletions(-)
 create mode 100644 data/classification/Employee.csv

diff --git a/data/classification/Employee.csv b/data/classification/Employee.csv
new file mode 100644
index 0000000000..4c5a75240f
--- /dev/null
+++ b/data/classification/Employee.csv
@@ -0,0 +1,4654 @@
+education,joining_year,city,payment_tier,age,gender,ever_benched,experience_in_current_domain,leave_or_not
+Bachelors,2017,Bangalore,3,34,Male,No,0,0
+Bachelors,2013,Pune,1,28,Female,No,3,1
+Bachelors,2014,New Delhi,3,38,Female,No,2,0
+Masters,2016,Bangalore,3,27,Male,No,5,1
+Masters,2017,Pune,3,24,Male,Yes,2,1
+Bachelors,2016,Bangalore,3,22,Male,No,0,0
+Bachelors,2015,New Delhi,3,38,Male,No,0,0
+Bachelors,2016,Bangalore,3,34,Female,No,2,1
+Bachelors,2016,Pune,3,23,Male,No,1,0
+Masters,2017,New Delhi,2,37,Male,No,2,0
+Masters,2012,Bangalore,3,27,Male,No,5,1
+Bachelors,2016,Pune,3,34,Male,No,3,0
+Bachelors,2018,Pune,3,32,Male,Yes,5,1
+Bachelors,2016,Bangalore,3,39,Male,No,2,0
+Bachelors,2012,Bangalore,3,37,Male,No,4,0
+Bachelors,2017,Bangalore,1,29,Male,No,3,0
+Bachelors,2014,Bangalore,3,34,Female,No,2,0
+Bachelors,2014,Pune,3,34,Male,No,4,0
+Bachelors,2015,Pune,2,30,Female,No,0,1
+Bachelors,2016,New Delhi,2,22,Female,No,0,1
+Bachelors,2012,Bangalore,3,37,Male,No,0,0
+Masters,2017,New Delhi,2,28,Male,No,4,0
+Bachelors,2017,New Delhi,2,36,Male,No,3,0
+Bachelors,2015,Bangalore,3,27,Male,Yes,5,0
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+Bachelors,2013,Bangalore,3,22,Female,Yes,0,0
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+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,New Delhi,3,26,Female,Yes,4,0
+Bachelors,2017,Bangalore,3,28,Male,No,1,0
+Bachelors,2018,Pune,3,25,Male,Yes,3,1
+Masters,2017,New Delhi,3,24,Male,No,2,0
+Bachelors,2013,Bangalore,3,28,Male,No,2,1
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Masters,2017,New Delhi,2,25,Female,No,3,1
+Bachelors,2013,Pune,2,28,Female,No,1,1
+Bachelors,2015,Bangalore,3,24,Female,No,2,0
+Bachelors,2016,Pune,3,26,Male,No,4,0
+Bachelors,2015,New Delhi,2,27,Female,No,5,1
+Bachelors,2018,Bangalore,3,24,Female,No,2,1
+Bachelors,2013,Bangalore,3,27,Female,No,5,0
+Bachelors,2013,Bangalore,3,24,Male,Yes,2,0
+Bachelors,2013,Bangalore,3,24,Female,No,2,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,26,Female,No,4,0
+Bachelors,2015,Bangalore,3,24,Female,No,2,0
+Bachelors,2012,Pune,3,24,Female,No,2,1
+Bachelors,2016,Bangalore,3,24,Male,Yes,2,1
+Bachelors,2012,Bangalore,3,28,Male,No,3,0
+Bachelors,2017,New Delhi,2,27,Male,No,5,0
+Bachelors,2012,Pune,2,27,Female,No,5,1
+Masters,2017,Pune,2,27,Male,No,5,0
+Bachelors,2017,Pune,2,24,Male,No,2,1
+Bachelors,2016,Pune,1,26,Female,No,4,1
+Bachelors,2015,Pune,3,26,Female,No,4,1
+Bachelors,2016,Bangalore,3,25,Male,No,3,1
+Bachelors,2012,Pune,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,28,Male,No,2,0
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,25,Female,Yes,3,0
+Masters,2017,Pune,2,26,Male,No,4,0
+Masters,2017,Pune,3,28,Male,No,1,1
+Masters,2015,Pune,2,25,Female,No,3,1
+Bachelors,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2017,New Delhi,2,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,New Delhi,3,27,Female,No,5,0
+Bachelors,2015,New Delhi,3,24,Female,No,2,0
+Masters,2017,Bangalore,1,26,Female,No,4,1
+Bachelors,2017,New Delhi,1,28,Female,No,2,0
+Bachelors,2015,Bangalore,3,24,Male,No,2,0
+Masters,2015,Pune,2,25,Female,No,3,1
+Bachelors,2014,Bangalore,3,25,Female,No,3,0
+Bachelors,2014,Bangalore,3,28,Male,No,2,0
+Bachelors,2017,Bangalore,3,28,Male,No,3,0
+Masters,2015,New Delhi,1,27,Male,No,5,0
+Bachelors,2014,Pune,1,26,Female,No,4,1
+Masters,2018,Bangalore,3,25,Male,Yes,3,1
+Bachelors,2016,Bangalore,3,28,Female,No,3,0
+Bachelors,2018,New Delhi,3,26,Female,Yes,4,1
+Bachelors,2015,Pune,2,24,Female,No,2,1
+Bachelors,2017,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2016,Bangalore,3,28,Male,No,2,0
+Bachelors,2015,Pune,2,25,Female,No,3,1
+Bachelors,2013,Pune,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,28,Male,No,3,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2012,Bangalore,3,24,Male,No,2,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,26,Female,Yes,4,1
+Bachelors,2015,Pune,3,28,Male,No,2,0
+Bachelors,2014,New Delhi,2,24,Female,No,2,1
+Bachelors,2013,Bangalore,3,24,Male,No,2,0
+Bachelors,2018,Bangalore,3,28,Male,Yes,3,1
+Bachelors,2015,Pune,3,27,Male,No,5,0
+Bachelors,2014,Pune,2,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,25,Male,No,3,1
+PHD,2013,Bangalore,3,25,Male,No,3,0
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,New Delhi,2,28,Female,No,1,0
+Bachelors,2015,Pune,1,26,Female,No,4,1
+Masters,2017,New Delhi,3,26,Male,Yes,4,1
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2012,New Delhi,3,24,Female,No,2,0
+Bachelors,2017,New Delhi,2,24,Male,No,2,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2012,Bangalore,3,26,Female,No,4,0
+Bachelors,2015,Bangalore,3,24,Male,No,2,0
+Masters,2014,Pune,3,25,Male,No,3,0
+Bachelors,2015,Bangalore,3,28,Male,No,2,0
+Bachelors,2016,Pune,3,24,Male,No,2,0
+Bachelors,2016,Bangalore,3,26,Female,No,4,0
+Bachelors,2015,Pune,2,25,Female,Yes,3,1
+Masters,2013,New Delhi,2,25,Male,No,3,1
+Bachelors,2017,Pune,3,25,Male,No,3,0
+Bachelors,2015,Pune,2,26,Female,Yes,4,1
+Masters,2015,Bangalore,2,26,Female,No,4,1
+Bachelors,2012,Pune,3,27,Female,No,5,0
+Masters,2017,New Delhi,3,28,Male,Yes,2,0
+Bachelors,2016,Pune,3,25,Male,No,3,0
+Bachelors,2016,Bangalore,3,24,Male,No,2,0
+Bachelors,2016,Pune,3,28,Male,No,1,0
+Bachelors,2013,New Delhi,3,27,Female,Yes,5,0
+Bachelors,2015,New Delhi,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,Pune,2,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+PHD,2018,New Delhi,3,25,Male,No,3,1
+Bachelors,2014,Pune,3,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Masters,2017,Pune,2,24,Female,No,2,1
+PHD,2016,New Delhi,2,28,Male,No,3,1
+Masters,2014,New Delhi,3,26,Male,No,4,1
+Masters,2017,New Delhi,2,27,Male,Yes,5,1
+PHD,2013,New Delhi,3,27,Male,No,5,0
+Masters,2014,New Delhi,3,28,Female,No,1,0
+Bachelors,2017,Pune,3,27,Male,No,5,0
+Bachelors,2015,Pune,3,26,Female,Yes,4,1
+Masters,2014,Bangalore,3,26,Male,No,4,1
+Masters,2012,Pune,3,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,26,Male,No,4,0
+Masters,2017,Pune,2,27,Male,No,5,1
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,25,Male,No,3,1
+Bachelors,2016,Pune,3,27,Male,Yes,5,0
+Bachelors,2014,Pune,3,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,28,Male,No,1,0
+Masters,2012,Pune,3,24,Male,No,2,0
+Bachelors,2014,Bangalore,3,25,Male,Yes,3,0
+Bachelors,2013,Pune,2,25,Male,No,3,1
+Bachelors,2012,Pune,3,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Pune,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,24,Male,No,2,0
+Bachelors,2014,Bangalore,3,25,Female,No,3,0
+Bachelors,2015,New Delhi,3,25,Male,No,3,0
+PHD,2012,Pune,3,24,Male,No,2,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,25,Male,No,3,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Masters,2015,New Delhi,3,24,Female,No,2,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Pune,3,24,Male,No,2,0
+Masters,2017,New Delhi,3,24,Male,No,2,1
+Bachelors,2014,Bangalore,1,25,Male,Yes,3,0
+Bachelors,2018,Bangalore,3,28,Male,No,1,1
+Bachelors,2017,Bangalore,3,28,Male,Yes,3,0
+Masters,2013,Bangalore,3,28,Female,Yes,2,1
+Bachelors,2013,Bangalore,3,26,Male,Yes,4,0
+Masters,2018,New Delhi,1,24,Male,Yes,2,1
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+PHD,2013,New Delhi,2,27,Female,No,5,0
+Masters,2018,New Delhi,3,28,Male,Yes,2,1
+Bachelors,2014,Bangalore,3,28,Male,No,3,1
+Bachelors,2014,Pune,3,27,Male,No,5,0
+Bachelors,2013,New Delhi,3,24,Female,No,2,1
+Bachelors,2015,Pune,2,28,Female,No,1,1
+Bachelors,2015,Pune,2,26,Female,No,4,1
+Bachelors,2017,New Delhi,2,28,Female,No,3,0
+Masters,2012,Pune,3,27,Female,No,5,1
+Masters,2017,Pune,3,25,Female,Yes,3,1
+Masters,2013,New Delhi,2,25,Male,No,3,1
+Masters,2017,New Delhi,2,27,Male,No,5,1
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Bachelors,2016,Pune,2,24,Female,No,2,1
+Bachelors,2012,Bangalore,3,26,Female,No,4,0
+Bachelors,2012,Bangalore,3,24,Male,No,2,1
+Masters,2017,Pune,2,24,Male,No,2,0
+Bachelors,2015,Pune,2,25,Female,Yes,3,1
+Bachelors,2015,New Delhi,3,26,Female,Yes,4,0
+Bachelors,2013,Pune,2,24,Male,Yes,2,1
+Bachelors,2013,Pune,3,25,Male,No,3,0
+PHD,2015,New Delhi,2,28,Female,No,1,0
+Bachelors,2016,Pune,3,24,Male,No,2,0
+Bachelors,2017,Bangalore,3,24,Female,No,2,0
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,25,Female,No,3,0
+Masters,2014,New Delhi,3,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,28,Female,No,3,0
+Bachelors,2018,Pune,3,25,Male,No,3,1
+Bachelors,2013,Bangalore,3,26,Male,Yes,4,1
+Bachelors,2015,New Delhi,3,25,Male,No,3,1
+Bachelors,2017,New Delhi,2,25,Female,No,3,1
+Bachelors,2012,Bangalore,3,25,Male,Yes,3,0
+Bachelors,2014,New Delhi,3,28,Female,No,2,0
+Bachelors,2017,New Delhi,2,27,Female,No,5,0
+Bachelors,2018,Pune,3,26,Male,No,4,1
+Masters,2014,New Delhi,3,28,Male,No,2,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,1
+Masters,2017,Pune,3,25,Male,No,3,1
+Bachelors,2018,Bangalore,3,28,Male,No,2,1
+Bachelors,2016,Bangalore,3,24,Male,No,2,0
+Bachelors,2012,Bangalore,3,24,Male,Yes,2,0
+Bachelors,2015,Bangalore,3,28,Female,No,1,0
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2013,Pune,3,27,Male,No,5,0
+Bachelors,2016,New Delhi,3,24,Female,No,2,0
+Bachelors,2012,Bangalore,3,25,Female,No,3,0
+Bachelors,2012,Pune,3,28,Male,No,3,0
+Bachelors,2018,Pune,3,25,Male,Yes,3,1
+Bachelors,2014,Bangalore,3,27,Male,No,5,1
+Bachelors,2016,Bangalore,3,27,Female,No,5,0
+Masters,2015,Pune,2,24,Female,No,2,0
+Masters,2014,Bangalore,3,24,Female,No,2,1
+Bachelors,2013,Bangalore,3,25,Male,No,3,0
+Masters,2017,New Delhi,3,24,Male,No,2,0
+Bachelors,2015,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Bachelors,2017,New Delhi,2,28,Male,No,3,0
+Bachelors,2016,Bangalore,3,28,Male,No,2,0
+PHD,2014,New Delhi,3,24,Male,No,2,0
+Masters,2017,New Delhi,2,26,Female,No,4,0
+Masters,2018,New Delhi,3,25,Male,No,3,1
+Bachelors,2014,Bangalore,3,28,Male,No,3,1
+Bachelors,2014,Bangalore,3,25,Male,No,3,1
+Bachelors,2018,New Delhi,3,28,Female,No,3,1
+Masters,2017,New Delhi,2,25,Male,Yes,3,1
+Masters,2013,New Delhi,3,28,Male,No,2,0
+Bachelors,2014,Bangalore,3,26,Male,Yes,4,0
+Masters,2017,New Delhi,2,25,Female,No,3,1
+Masters,2013,New Delhi,3,25,Female,No,3,0
+Bachelors,2016,Bangalore,3,25,Male,No,3,0
+Bachelors,2018,Bangalore,3,24,Male,No,2,1
+Masters,2017,New Delhi,2,26,Male,Yes,4,1
+Bachelors,2013,Bangalore,3,24,Male,No,2,0
+Bachelors,2013,Bangalore,3,28,Male,No,2,0
+Masters,2015,Pune,3,28,Female,Yes,2,0
+Bachelors,2015,Pune,2,27,Female,Yes,5,1
+Masters,2014,Pune,2,27,Female,No,5,0
+Bachelors,2017,New Delhi,2,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Masters,2015,Pune,1,27,Female,No,5,0
+Bachelors,2013,Bangalore,1,28,Male,No,3,1
+Bachelors,2012,Pune,2,26,Female,No,4,1
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Masters,2017,New Delhi,2,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,24,Male,No,2,0
+Bachelors,2017,New Delhi,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,28,Female,No,1,1
+Bachelors,2015,Bangalore,3,25,Male,No,3,0
+Bachelors,2015,Pune,2,28,Female,No,3,1
+Bachelors,2017,Bangalore,3,24,Female,No,2,0
+Bachelors,2016,Bangalore,3,27,Female,No,5,1
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Masters,2018,Pune,3,25,Male,No,3,1
+Bachelors,2015,Pune,3,26,Male,No,4,0
+Bachelors,2014,Pune,3,26,Male,No,4,0
+PHD,2017,New Delhi,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,New Delhi,3,28,Female,No,2,0
+Bachelors,2014,Pune,3,25,Female,No,3,0
+Bachelors,2013,Bangalore,3,28,Male,Yes,3,0
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+Bachelors,2018,Bangalore,3,27,Male,No,5,1
+Bachelors,2017,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Pune,2,25,Female,No,3,1
+Bachelors,2017,Pune,2,26,Female,No,4,1
+Bachelors,2015,Pune,3,28,Male,No,3,0
+Masters,2017,Pune,2,26,Male,No,4,1
+Masters,2015,New Delhi,3,28,Female,Yes,2,0
+Bachelors,2012,New Delhi,2,25,Male,No,3,1
+Bachelors,2016,Bangalore,3,25,Female,No,3,0
+Masters,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2014,Bangalore,3,25,Male,No,3,1
+PHD,2018,Bangalore,3,26,Male,No,4,1
+Bachelors,2016,Pune,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Masters,2012,Pune,2,26,Female,No,4,0
+Masters,2016,New Delhi,3,27,Male,No,5,1
+PHD,2017,Bangalore,3,28,Male,No,1,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2018,Pune,3,26,Male,No,4,1
+Bachelors,2018,Bangalore,1,27,Male,No,5,0
+Bachelors,2016,Pune,3,24,Male,No,2,0
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,28,Male,No,2,0
+Bachelors,2017,New Delhi,2,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,25,Male,No,3,0
+Bachelors,2013,Bangalore,3,28,Male,No,1,0
+Bachelors,2018,Bangalore,3,28,Female,No,3,1
+Bachelors,2016,Bangalore,3,27,Male,Yes,5,0
+Masters,2015,Pune,2,28,Female,No,3,0
+Masters,2015,New Delhi,3,24,Female,No,2,1
+Bachelors,2017,New Delhi,3,24,Male,No,2,0
+Bachelors,2015,Pune,2,24,Female,No,2,1
+Masters,2013,Pune,3,28,Male,No,2,1
+Bachelors,2017,Pune,3,27,Female,No,5,1
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Pune,1,26,Female,No,4,1
+Bachelors,2015,Pune,3,28,Male,No,3,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,New Delhi,2,26,Male,No,4,0
+Masters,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,1
+Bachelors,2013,Bangalore,3,26,Male,Yes,4,0
+Bachelors,2014,Bangalore,3,28,Male,No,3,1
+Bachelors,2014,New Delhi,3,28,Female,No,3,0
+Bachelors,2014,Pune,3,25,Female,No,3,1
+Bachelors,2016,Pune,3,28,Male,No,3,0
+Masters,2017,Bangalore,3,27,Male,No,5,1
+Bachelors,2015,Bangalore,3,25,Male,No,3,0
+Bachelors,2014,Pune,3,27,Male,No,5,0
+Bachelors,2012,Pune,3,28,Male,No,3,0
+Masters,2017,Pune,3,26,Male,No,4,1
+Bachelors,2013,Bangalore,3,25,Male,Yes,3,0
+Bachelors,2015,Pune,2,28,Female,No,2,1
+PHD,2013,Bangalore,1,26,Male,No,4,0
+Masters,2012,Pune,3,27,Male,No,5,1
+Bachelors,2016,Bangalore,1,28,Male,No,2,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+Masters,2017,New Delhi,2,24,Female,Yes,2,1
+Bachelors,2015,Bangalore,1,25,Female,Yes,3,0
+Bachelors,2018,Bangalore,3,27,Male,No,5,1
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2018,Bangalore,3,26,Male,No,4,1
+Bachelors,2015,Pune,2,24,Female,No,2,1
+Bachelors,2018,Bangalore,3,27,Male,No,5,1
+Bachelors,2016,Bangalore,3,27,Female,No,5,0
+Masters,2016,New Delhi,3,25,Female,No,3,1
+Masters,2018,New Delhi,3,26,Male,No,4,1
+Bachelors,2018,Bangalore,3,24,Female,No,2,1
+Bachelors,2017,New Delhi,2,28,Male,No,3,0
+Bachelors,2015,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,25,Male,No,3,0
+Bachelors,2013,Pune,3,25,Male,No,3,0
+Bachelors,2015,Pune,3,25,Female,No,3,1
+Bachelors,2014,Bangalore,3,28,Female,No,3,0
+Bachelors,2015,Pune,3,24,Male,No,2,0
+Bachelors,2016,Bangalore,3,26,Female,No,4,0
+Bachelors,2018,Bangalore,1,25,Male,Yes,3,0
+Masters,2017,Pune,2,28,Female,No,1,0
+Bachelors,2014,Pune,2,25,Female,No,3,1
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+Bachelors,2016,Bangalore,3,28,Female,No,3,0
+Bachelors,2014,Bangalore,3,28,Female,No,2,0
+Masters,2017,New Delhi,2,28,Male,No,2,0
+Bachelors,2017,New Delhi,2,24,Female,No,2,0
+PHD,2013,New Delhi,2,25,Male,No,3,1
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Bachelors,2017,Bangalore,3,26,Female,No,4,0
+Bachelors,2015,Bangalore,1,25,Male,No,3,0
+Bachelors,2016,Bangalore,3,26,Female,No,4,0
+PHD,2014,New Delhi,3,28,Male,No,2,1
+Masters,2018,New Delhi,3,27,Female,No,5,1
+Bachelors,2016,New Delhi,3,27,Female,No,5,0
+Masters,2017,New Delhi,2,25,Male,No,3,1
+Bachelors,2017,Bangalore,3,26,Male,No,4,0
+Bachelors,2016,New Delhi,3,27,Female,Yes,5,0
+Bachelors,2017,Pune,2,25,Female,No,3,1
+Bachelors,2018,Pune,3,28,Female,No,1,1
+Bachelors,2014,Bangalore,3,25,Female,No,3,1
+Bachelors,2018,Pune,3,28,Male,No,1,1
+Bachelors,2017,Bangalore,1,26,Female,No,4,0
+Bachelors,2013,Bangalore,3,24,Male,No,2,1
+Bachelors,2012,New Delhi,3,26,Female,No,4,0
+Bachelors,2012,Pune,3,25,Male,No,3,0
+Masters,2013,New Delhi,2,24,Male,No,2,1
+Bachelors,2018,Pune,3,26,Male,No,4,1
+Bachelors,2016,New Delhi,3,28,Female,No,2,0
+Bachelors,2016,Pune,3,26,Male,No,4,0
+Masters,2014,New Delhi,3,24,Male,No,2,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Pune,2,26,Female,No,4,1
+Bachelors,2014,Pune,3,25,Male,No,3,0
+Bachelors,2013,Pune,3,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,27,Male,No,5,1
+Bachelors,2015,Bangalore,3,25,Female,No,3,1
+Bachelors,2016,Pune,3,26,Male,No,4,0
+Bachelors,2015,Pune,2,27,Female,No,5,1
+Bachelors,2017,Bangalore,3,26,Male,No,4,0
+Masters,2017,Pune,2,26,Female,No,4,0
+Bachelors,2017,New Delhi,3,27,Female,Yes,5,0
+Masters,2017,Pune,1,24,Male,No,2,0
+Masters,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2015,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Masters,2017,Pune,2,24,Male,No,2,1
+Bachelors,2017,Bangalore,3,26,Female,No,4,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Bangalore,3,28,Male,Yes,1,1
+Masters,2017,New Delhi,2,24,Male,No,2,0
+Bachelors,2013,Pune,2,25,Female,No,3,1
+Masters,2013,Bangalore,3,27,Male,No,5,1
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,New Delhi,2,28,Female,Yes,2,1
+Bachelors,2014,Pune,2,24,Female,No,2,1
+Bachelors,2016,Pune,2,27,Female,No,5,1
+Bachelors,2017,Bangalore,3,27,Female,No,5,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Pune,2,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2018,Bangalore,3,27,Male,Yes,5,1
+Bachelors,2016,Bangalore,3,24,Male,No,2,0
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2013,New Delhi,2,24,Female,No,2,1
+Bachelors,2012,Bangalore,3,26,Female,No,4,0
+Bachelors,2015,Pune,2,28,Female,Yes,2,1
+Bachelors,2018,Bangalore,3,26,Male,No,4,1
+Bachelors,2016,Bangalore,3,24,Female,No,2,0
+Masters,2017,Pune,3,24,Male,No,2,1
+Masters,2016,Pune,3,24,Male,No,2,0
+Bachelors,2013,Bangalore,3,28,Male,Yes,1,1
+Bachelors,2015,Bangalore,1,28,Female,No,1,0
+PHD,2018,Bangalore,3,24,Female,No,2,1
+Bachelors,2016,Bangalore,3,26,Male,Yes,4,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,25,Male,No,3,1
+Masters,2016,New Delhi,3,24,Male,No,2,1
+Bachelors,2017,New Delhi,1,25,Female,No,3,0
+Bachelors,2013,Bangalore,3,28,Male,No,3,0
+Bachelors,2018,Bangalore,3,28,Male,No,1,1
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Masters,2014,New Delhi,3,24,Male,No,2,1
+PHD,2012,New Delhi,3,24,Male,No,2,0
+Bachelors,2017,Bangalore,3,25,Female,No,3,0
+Masters,2014,New Delhi,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,27,Female,No,5,0
+Bachelors,2014,Pune,3,25,Male,No,3,1
+Bachelors,2012,Bangalore,3,28,Male,No,3,0
+Bachelors,2012,Bangalore,3,25,Female,No,3,0
+Bachelors,2015,Bangalore,3,24,Female,No,2,0
+Bachelors,2013,Pune,3,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Bachelors,2012,Pune,2,26,Male,No,4,0
+Masters,2017,Bangalore,3,28,Female,No,3,1
+Bachelors,2015,Bangalore,3,25,Male,No,3,1
+Bachelors,2012,Bangalore,3,28,Female,No,2,0
+Bachelors,2017,Pune,2,26,Female,No,4,1
+Bachelors,2012,Bangalore,3,27,Female,No,5,0
+Masters,2016,New Delhi,3,28,Male,No,1,0
+Bachelors,2015,Pune,2,28,Female,No,1,1
+Masters,2017,Pune,3,24,Male,No,2,1
+Bachelors,2015,Pune,2,25,Female,No,3,1
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2016,Bangalore,3,28,Male,No,3,0
+Bachelors,2016,New Delhi,3,25,Female,Yes,3,0
+Masters,2015,New Delhi,3,26,Male,No,4,1
+Masters,2015,New Delhi,3,28,Female,No,3,0
+Bachelors,2013,New Delhi,1,24,Female,No,2,1
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2018,Bangalore,3,26,Male,No,4,1
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,New Delhi,3,25,Female,No,3,1
+Bachelors,2017,New Delhi,3,28,Male,No,2,0
+Bachelors,2016,Pune,1,25,Female,No,3,1
+Masters,2013,New Delhi,3,25,Male,Yes,3,1
+Bachelors,2017,Bangalore,3,24,Female,No,2,0
+Masters,2013,New Delhi,3,25,Female,No,3,1
+Bachelors,2013,Bangalore,1,28,Female,No,2,0
+Masters,2014,Bangalore,3,27,Female,No,5,1
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,25,Male,No,3,0
+Bachelors,2015,Pune,2,26,Female,Yes,4,1
+Bachelors,2017,New Delhi,3,25,Male,No,3,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Pune,2,27,Male,Yes,5,0
+Bachelors,2015,Pune,2,25,Female,No,3,1
+Bachelors,2016,Bangalore,3,25,Male,Yes,3,0
+Bachelors,2017,Bangalore,3,25,Male,No,3,1
+Bachelors,2016,Pune,3,28,Male,No,1,0
+Bachelors,2018,Bangalore,3,24,Male,No,2,1
+Masters,2015,Pune,3,28,Female,No,3,0
+Bachelors,2017,Bangalore,3,26,Male,No,4,0
+Masters,2017,Pune,2,26,Male,No,4,1
+Bachelors,2017,New Delhi,2,27,Female,No,5,0
+Bachelors,2013,Pune,2,26,Female,No,4,1
+Bachelors,2012,Bangalore,3,24,Male,No,2,0
+Bachelors,2013,New Delhi,3,28,Female,Yes,3,0
+Masters,2015,Pune,2,24,Female,No,2,0
+Bachelors,2016,Bangalore,3,25,Male,No,3,0
+Masters,2017,New Delhi,2,25,Male,No,3,1
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,24,Male,No,2,0
+Bachelors,2012,Pune,2,25,Male,No,3,1
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2017,Bangalore,3,27,Female,No,5,1
+Bachelors,2017,New Delhi,3,27,Female,No,5,0
+Bachelors,2013,Pune,3,27,Male,No,5,0
+Bachelors,2015,Pune,2,24,Female,Yes,2,1
+Bachelors,2017,Bangalore,3,24,Female,Yes,2,0
+PHD,2015,New Delhi,3,28,Female,No,1,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Masters,2017,New Delhi,2,28,Female,No,2,0
+Bachelors,2017,New Delhi,2,25,Female,No,3,0
+Bachelors,2014,Pune,2,25,Female,No,3,1
+Bachelors,2016,New Delhi,3,28,Female,Yes,3,0
+Bachelors,2015,Pune,2,27,Female,No,5,1
+Masters,2017,Pune,2,25,Male,No,3,1
+Masters,2017,Bangalore,2,25,Female,Yes,3,1
+Bachelors,2017,Bangalore,3,24,Female,No,2,1
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Bachelors,2018,Bangalore,3,24,Male,Yes,2,1
+Bachelors,2016,New Delhi,3,28,Male,No,1,0
+Masters,2017,New Delhi,2,24,Male,No,2,1
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,24,Male,No,2,1
+Masters,2014,New Delhi,3,25,Female,No,3,1
+Bachelors,2012,Bangalore,3,27,Female,No,5,0
+Bachelors,2012,New Delhi,3,27,Female,No,5,0
+Bachelors,2017,Bangalore,3,28,Male,No,2,1
+Bachelors,2012,Bangalore,3,28,Male,Yes,3,1
+Bachelors,2012,Pune,3,28,Female,No,2,0
+Bachelors,2018,Bangalore,3,24,Female,No,2,1
+PHD,2016,New Delhi,3,24,Female,No,2,0
+Masters,2017,New Delhi,2,27,Female,No,5,1
+Masters,2013,New Delhi,2,27,Female,No,5,1
+Bachelors,2015,Bangalore,3,26,Female,No,4,0
+Masters,2015,New Delhi,3,28,Female,No,1,1
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2013,New Delhi,3,25,Female,No,3,0
+Bachelors,2015,Bangalore,3,26,Female,No,4,1
+Bachelors,2012,Pune,3,24,Male,No,2,0
+Bachelors,2012,Bangalore,3,26,Female,No,4,0
+Masters,2015,Pune,2,25,Female,No,3,1
+Bachelors,2013,New Delhi,3,24,Male,No,2,0
+Masters,2017,New Delhi,2,27,Female,No,5,0
+Masters,2017,Pune,2,26,Male,No,4,0
+Bachelors,2014,Pune,3,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,25,Male,No,3,1
+Bachelors,2014,Bangalore,3,25,Female,No,3,0
+Bachelors,2013,Pune,2,27,Female,No,5,1
+Bachelors,2015,Pune,3,26,Male,No,4,0
+Bachelors,2017,Pune,2,24,Male,No,2,1
+Masters,2017,New Delhi,2,26,Male,No,4,1
+Bachelors,2013,Pune,2,25,Male,Yes,3,1
+Masters,2017,New Delhi,2,25,Female,No,3,1
+Bachelors,2013,Pune,3,26,Female,Yes,4,0
+Bachelors,2014,Pune,3,28,Male,No,2,0
+Bachelors,2016,New Delhi,3,27,Female,No,5,0
+Bachelors,2017,New Delhi,2,28,Male,No,1,0
+Masters,2014,New Delhi,3,27,Male,No,5,0
+Bachelors,2014,New Delhi,3,28,Female,No,1,0
+Bachelors,2015,Bangalore,3,27,Male,No,5,1
+Bachelors,2015,Bangalore,3,24,Male,No,2,1
+Bachelors,2018,Bangalore,3,24,Male,No,2,1
+Bachelors,2013,Pune,3,26,Male,No,4,0
+Bachelors,2012,Bangalore,3,28,Female,No,2,0
+Masters,2017,Pune,2,26,Male,No,4,0
+Masters,2017,New Delhi,2,25,Male,No,3,1
+Bachelors,2016,New Delhi,3,27,Female,No,5,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Pune,3,25,Male,No,3,0
+Bachelors,2012,New Delhi,3,26,Female,Yes,4,0
+Masters,2014,Bangalore,3,27,Male,No,5,1
+Masters,2017,New Delhi,2,26,Male,No,4,0
+Masters,2012,New Delhi,3,26,Male,No,4,1
+Bachelors,2015,Pune,2,26,Female,No,4,1
+Masters,2014,New Delhi,3,25,Male,No,3,0
+Bachelors,2015,Bangalore,3,28,Male,Yes,2,0
+Masters,2012,Pune,3,27,Male,No,5,1
+Bachelors,2017,Bangalore,2,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,24,Male,No,2,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,1
+Bachelors,2017,Bangalore,3,24,Female,No,2,0
+Bachelors,2017,Bangalore,3,28,Male,No,1,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,1
+Bachelors,2018,Bangalore,3,28,Female,No,3,1
+Bachelors,2014,New Delhi,3,24,Female,No,2,0
+Bachelors,2017,Bangalore,1,27,Male,No,5,0
+Bachelors,2015,New Delhi,3,24,Female,No,2,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,Pune,3,28,Male,No,3,0
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,25,Female,No,3,0
+Bachelors,2018,Bangalore,3,25,Male,No,3,1
+Bachelors,2013,Bangalore,3,28,Female,No,3,0
+Bachelors,2017,New Delhi,3,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Masters,2017,New Delhi,2,26,Female,No,4,1
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2017,Pune,3,27,Male,No,5,0
+Bachelors,2012,Pune,3,27,Male,No,5,0
+Bachelors,2017,Pune,3,24,Male,No,2,0
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2014,Bangalore,3,28,Male,No,3,0
+Bachelors,2018,Bangalore,3,26,Male,No,4,1
+Masters,2017,Bangalore,3,28,Male,No,1,1
+Bachelors,2018,Bangalore,3,27,Male,Yes,5,1
+Bachelors,2017,Bangalore,3,28,Male,Yes,1,0
+Bachelors,2016,Bangalore,3,25,Male,No,3,0
+Bachelors,2013,Pune,3,24,Female,No,2,0
+Bachelors,2018,New Delhi,3,25,Female,No,3,1
+Bachelors,2014,Bangalore,3,24,Female,No,2,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Masters,2013,New Delhi,1,24,Female,No,2,0
+Masters,2013,New Delhi,1,24,Male,Yes,2,1
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,New Delhi,2,25,Male,No,3,0
+Bachelors,2015,Bangalore,3,28,Female,No,1,0
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+PHD,2018,New Delhi,3,24,Female,No,2,1
+Bachelors,2015,Pune,3,28,Male,No,1,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+PHD,2015,Pune,2,28,Female,No,1,0
+Bachelors,2018,Bangalore,3,25,Male,Yes,3,1
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Bangalore,3,27,Female,No,5,1
+Bachelors,2017,Pune,3,24,Male,No,2,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Masters,2012,New Delhi,3,28,Male,No,2,0
+Bachelors,2012,Bangalore,3,28,Male,No,3,0
+Bachelors,2012,Pune,2,27,Female,No,5,1
+Bachelors,2012,New Delhi,2,27,Female,No,5,1
+Masters,2012,Bangalore,3,27,Male,No,5,1
+Bachelors,2018,Bangalore,3,25,Female,No,3,1
+Masters,2018,Pune,3,27,Male,No,5,1
+Masters,2017,New Delhi,2,28,Male,No,2,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Masters,2017,Bangalore,2,28,Male,Yes,2,1
+Bachelors,2017,Pune,3,27,Male,No,5,0
+Bachelors,2017,Pune,3,28,Female,No,1,0
+Bachelors,2016,Bangalore,3,28,Male,No,3,0
+Bachelors,2014,New Delhi,3,26,Female,No,4,0
+Bachelors,2018,Bangalore,3,25,Male,No,3,1
+Bachelors,2017,New Delhi,3,26,Female,No,4,0
+Bachelors,2015,Pune,2,26,Female,No,4,1
+Bachelors,2017,New Delhi,3,26,Male,No,4,0
+Bachelors,2012,Bangalore,3,25,Female,Yes,3,0
+Bachelors,2017,Bangalore,3,25,Male,Yes,3,0
+Bachelors,2013,Bangalore,3,28,Female,No,1,1
+Bachelors,2013,Pune,3,24,Female,No,2,1
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Masters,2017,New Delhi,3,25,Male,No,3,1
+Bachelors,2015,Pune,2,27,Female,No,5,1
+Masters,2017,Pune,2,28,Male,No,3,0
+Masters,2017,New Delhi,3,26,Male,No,4,0
+Masters,2017,Pune,2,24,Female,No,2,0
+Masters,2015,Pune,1,26,Female,No,4,0
+Masters,2013,Pune,3,26,Male,No,4,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Pune,3,24,Male,No,2,0
+PHD,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,24,Male,No,2,1
+Bachelors,2014,Pune,3,25,Male,No,3,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,28,Male,No,3,0
+Bachelors,2014,Pune,3,25,Male,No,3,0
+Masters,2018,New Delhi,3,25,Female,No,3,1
+Bachelors,2013,Pune,2,25,Female,No,3,1
+PHD,2013,New Delhi,3,26,Male,No,4,0
+Bachelors,2015,New Delhi,3,28,Female,No,3,0
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Masters,2018,New Delhi,1,26,Female,No,4,1
+Bachelors,2013,Pune,2,24,Female,No,2,1
+Bachelors,2018,Bangalore,3,24,Male,No,2,1
+PHD,2016,Pune,1,25,Female,No,3,1
+Bachelors,2014,Pune,3,26,Male,No,4,1
+Masters,2015,Pune,1,27,Female,No,5,0
+Bachelors,2013,Pune,3,28,Female,No,2,1
+Bachelors,2016,Bangalore,1,27,Female,No,5,0
+Bachelors,2014,New Delhi,3,24,Male,No,2,0
+Bachelors,2016,Bangalore,3,26,Male,Yes,4,0
+Bachelors,2015,Pune,3,25,Female,No,3,1
+Bachelors,2013,Bangalore,3,24,Male,No,2,0
+Bachelors,2015,Bangalore,3,25,Female,No,3,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Pune,3,26,Male,No,4,0
+Masters,2016,Bangalore,3,26,Female,No,4,1
+Bachelors,2018,Bangalore,3,27,Female,No,5,1
+Bachelors,2017,Bangalore,3,24,Female,No,2,0
+Bachelors,2014,New Delhi,3,24,Female,No,2,0
+Bachelors,2013,Pune,3,26,Male,Yes,4,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Pune,2,26,Female,No,4,1
+Bachelors,2016,New Delhi,3,28,Female,No,5,0
+Bachelors,2015,Bangalore,3,28,Male,No,5,0
+Bachelors,2012,Pune,2,26,Female,No,4,1
+Bachelors,2013,New Delhi,3,26,Female,No,4,0
+Bachelors,2013,Pune,3,24,Male,No,2,0
+Masters,2017,New Delhi,3,28,Female,No,3,0
+Bachelors,2012,New Delhi,3,27,Female,No,5,0
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+Bachelors,2012,New Delhi,3,24,Female,No,2,1
+Masters,2015,Pune,1,24,Male,No,2,0
+Masters,2013,New Delhi,3,27,Male,No,5,1
+Bachelors,2017,New Delhi,3,24,Female,No,2,1
+Bachelors,2014,Bangalore,3,28,Male,No,1,1
+Bachelors,2015,Bangalore,3,28,Female,No,1,0
+Masters,2013,New Delhi,3,27,Male,No,5,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+Masters,2015,New Delhi,3,24,Male,No,2,1
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2014,Bangalore,3,25,Female,No,3,0
+Bachelors,2017,Bangalore,1,24,Male,No,2,0
+Bachelors,2014,New Delhi,3,27,Female,No,5,1
+Bachelors,2013,Bangalore,3,27,Female,No,5,0
+Bachelors,2012,Bangalore,3,28,Female,No,2,0
+Bachelors,2015,Bangalore,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Pune,1,27,Female,No,5,1
+Bachelors,2014,New Delhi,3,27,Female,Yes,5,0
+Bachelors,2014,Bangalore,3,28,Male,No,4,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,1
+Bachelors,2014,Bangalore,3,28,Female,No,1,0
+Masters,2018,New Delhi,3,25,Female,No,3,1
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,24,Male,Yes,2,1
+Masters,2017,Pune,2,25,Female,No,3,1
+Bachelors,2017,New Delhi,2,27,Female,No,5,0
+Bachelors,2016,Bangalore,3,28,Male,No,3,1
+Bachelors,2015,Pune,2,25,Female,Yes,3,1
+Masters,2017,New Delhi,3,24,Male,No,2,0
+Bachelors,2015,Bangalore,3,28,Male,No,4,0
+Masters,2014,Pune,3,26,Male,No,4,1
+Bachelors,2013,Pune,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Masters,2013,New Delhi,1,24,Female,No,2,1
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2018,Bangalore,3,27,Male,No,5,1
+Bachelors,2013,Bangalore,3,28,Male,No,1,0
+Bachelors,2016,Pune,2,28,Female,No,4,1
+Bachelors,2012,Bangalore,3,28,Male,No,1,0
+Bachelors,2017,New Delhi,3,25,Female,No,3,0
+Bachelors,2018,Bangalore,3,25,Male,Yes,3,1
+Bachelors,2012,Pune,1,27,Female,No,5,1
+Masters,2017,New Delhi,3,24,Male,No,2,0
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,25,Female,No,3,1
+Bachelors,2017,Bangalore,3,28,Male,No,2,0
+Bachelors,2015,Pune,3,25,Female,No,3,1
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Bachelors,2018,Bangalore,3,24,Male,Yes,2,1
+Bachelors,2016,Bangalore,3,28,Male,Yes,4,0
+Bachelors,2014,Bangalore,3,26,Female,No,4,0
+Bachelors,2017,Bangalore,3,28,Male,No,1,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2016,New Delhi,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,27,Female,No,5,0
+Bachelors,2014,Bangalore,3,27,Female,Yes,5,1
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+PHD,2015,New Delhi,2,24,Female,No,2,0
+Bachelors,2018,Bangalore,3,26,Male,No,4,1
+Bachelors,2017,New Delhi,2,24,Female,No,2,0
+PHD,2015,Pune,1,25,Female,No,3,1
+Bachelors,2017,New Delhi,3,24,Male,No,2,0
+Bachelors,2013,Bangalore,3,25,Female,No,3,0
+Bachelors,2014,Bangalore,3,24,Male,Yes,2,0
+Masters,2018,New Delhi,3,26,Male,Yes,4,1
+Bachelors,2015,Bangalore,2,25,Female,No,3,1
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Masters,2012,New Delhi,3,28,Male,Yes,2,0
+Bachelors,2015,Bangalore,3,24,Female,No,2,0
+Bachelors,2012,Bangalore,3,24,Male,No,2,0
+PHD,2018,New Delhi,3,27,Female,No,5,1
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Bachelors,2012,Bangalore,3,28,Male,No,5,0
+Bachelors,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2013,Bangalore,3,25,Male,No,3,0
+Masters,2018,Pune,3,24,Male,No,2,1
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2016,New Delhi,3,28,Female,No,2,0
+Masters,2017,New Delhi,2,27,Male,Yes,5,1
+Bachelors,2018,Pune,2,27,Female,No,5,1
+Masters,2014,New Delhi,3,28,Female,No,4,0
+Masters,2017,New Delhi,3,25,Female,No,3,0
+Masters,2017,Bangalore,3,26,Female,No,4,0
+Bachelors,2015,Pune,2,27,Female,No,5,1
+Bachelors,2013,New Delhi,3,27,Female,No,5,0
+Masters,2017,New Delhi,1,26,Female,No,4,0
+Bachelors,2013,New Delhi,3,27,Female,No,5,0
+Bachelors,2012,New Delhi,3,28,Male,No,3,0
+Masters,2017,Pune,2,27,Male,No,5,1
+Bachelors,2017,New Delhi,3,26,Female,No,4,0
+Bachelors,2013,Bangalore,3,28,Female,No,4,1
+Masters,2012,New Delhi,3,27,Male,Yes,5,1
+Bachelors,2017,Pune,2,24,Male,No,2,0
+Masters,2017,New Delhi,3,25,Female,No,3,1
+Bachelors,2018,Bangalore,3,25,Female,Yes,3,1
+Bachelors,2016,Bangalore,3,28,Male,Yes,4,0
+Masters,2017,New Delhi,3,28,Male,No,2,0
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2016,Bangalore,3,26,Male,Yes,4,0
+Bachelors,2014,Pune,3,24,Female,No,2,1
+Bachelors,2013,Pune,3,26,Male,No,4,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,24,Male,No,2,1
+Bachelors,2017,Bangalore,1,26,Female,No,4,0
+Bachelors,2015,Bangalore,3,28,Female,No,3,0
+Bachelors,2013,Bangalore,3,28,Male,No,3,1
+Bachelors,2012,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Masters,2013,New Delhi,2,27,Female,No,5,1
+Bachelors,2016,New Delhi,3,24,Female,No,2,0
+Bachelors,2015,Pune,2,28,Female,No,2,1
+Bachelors,2015,New Delhi,2,25,Female,No,3,1
+Bachelors,2014,Pune,3,24,Male,No,2,0
+Bachelors,2017,New Delhi,3,27,Female,No,5,0
+Bachelors,2012,New Delhi,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,28,Male,No,0,0
+Bachelors,2012,Pune,3,28,Male,No,5,0
+Bachelors,2015,Pune,2,26,Female,No,4,1
+Bachelors,2016,Bangalore,1,26,Male,No,4,0
+Masters,2017,New Delhi,2,28,Female,Yes,2,1
+Masters,2017,New Delhi,2,25,Male,No,3,1
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Bachelors,2013,Bangalore,3,28,Male,No,0,0
+Bachelors,2014,Pune,3,27,Male,No,5,1
+Bachelors,2016,Pune,2,26,Female,No,4,1
+Bachelors,2018,Bangalore,3,27,Female,Yes,5,1
+Bachelors,2012,Pune,3,28,Male,No,4,0
+Bachelors,2013,Pune,2,26,Female,No,4,1
+Bachelors,2014,Bangalore,3,28,Female,No,3,0
+Masters,2017,New Delhi,2,28,Female,No,2,0
+Bachelors,2012,New Delhi,1,27,Female,No,5,0
+Bachelors,2017,New Delhi,2,27,Male,No,5,0
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2013,Pune,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,27,Female,No,5,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Masters,2012,New Delhi,3,24,Male,No,2,0
+Bachelors,2013,New Delhi,2,25,Female,No,3,1
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+Bachelors,2018,Bangalore,3,25,Male,No,3,1
+Masters,2013,Pune,3,25,Male,Yes,3,1
+Bachelors,2013,Pune,3,24,Female,No,2,0
+Bachelors,2015,Pune,3,24,Female,No,2,1
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Masters,2012,New Delhi,3,26,Female,No,4,1
+Bachelors,2015,Pune,3,25,Male,No,3,0
+Bachelors,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2013,Bangalore,3,28,Male,No,3,0
+Bachelors,2016,Pune,2,28,Female,No,0,1
+Bachelors,2012,New Delhi,3,24,Male,No,2,0
+Bachelors,2015,New Delhi,3,28,Male,No,1,0
+Bachelors,2017,Bangalore,1,24,Male,No,2,0
+Masters,2017,Pune,2,28,Female,No,4,0
+Bachelors,2017,Pune,3,24,Male,No,2,0
+Bachelors,2016,Bangalore,3,27,Female,No,5,0
+Bachelors,2015,Pune,3,28,Male,No,2,0
+Bachelors,2016,Bangalore,3,28,Female,No,5,0
+Bachelors,2018,Bangalore,3,25,Male,No,3,1
+Bachelors,2015,Bangalore,3,28,Female,No,5,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,1
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Bangalore,1,24,Male,No,2,0
+Bachelors,2012,Bangalore,3,27,Female,No,5,0
+Bachelors,2012,Bangalore,3,25,Male,No,3,1
+Bachelors,2015,Pune,3,28,Female,No,4,1
+Masters,2017,Bangalore,2,24,Female,Yes,2,1
+Bachelors,2014,Bangalore,3,28,Male,No,2,0
+Masters,2017,Pune,2,24,Female,No,2,1
+Bachelors,2014,New Delhi,3,26,Female,No,4,1
+Bachelors,2015,Pune,2,28,Female,No,3,1
+Masters,2013,Pune,2,28,Male,No,5,1
+Bachelors,2013,New Delhi,1,28,Female,No,5,1
+Bachelors,2015,Pune,2,26,Female,Yes,4,1
+Masters,2015,New Delhi,3,28,Male,No,2,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,28,Male,No,2,1
+Bachelors,2012,Pune,3,28,Male,No,2,0
+Bachelors,2014,Pune,3,27,Female,No,5,1
+Masters,2018,New Delhi,3,24,Male,No,2,1
+Bachelors,2018,Bangalore,3,25,Male,Yes,3,1
+Bachelors,2017,New Delhi,2,25,Male,No,3,0
+Bachelors,2014,Pune,3,24,Female,No,2,1
+Bachelors,2012,New Delhi,3,26,Female,No,4,0
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,28,Male,No,4,0
+Bachelors,2018,Bangalore,3,26,Male,Yes,4,1
+Bachelors,2013,Pune,2,26,Male,No,4,0
+Bachelors,2013,Pune,2,25,Female,No,3,1
+Bachelors,2018,Pune,3,25,Male,Yes,3,1
+Bachelors,2013,Bangalore,3,25,Female,No,3,0
+Bachelors,2014,Bangalore,3,28,Male,No,4,0
+Masters,2017,New Delhi,3,24,Female,No,2,0
+Masters,2017,Pune,2,27,Female,No,5,0
+Bachelors,2012,Bangalore,3,24,Male,No,2,0
+Bachelors,2017,Pune,3,27,Female,No,5,1
+Masters,2017,New Delhi,2,28,Male,No,4,0
+Bachelors,2017,New Delhi,2,25,Male,No,3,0
+Bachelors,2017,Pune,3,25,Male,Yes,3,1
+Masters,2017,Pune,2,24,Female,No,2,1
+Bachelors,2013,Pune,3,27,Male,Yes,5,1
+Bachelors,2016,Bangalore,3,26,Female,No,4,1
+Bachelors,2015,Pune,2,27,Female,No,5,1
+Bachelors,2014,Bangalore,3,27,Male,No,5,1
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2016,Pune,2,27,Female,No,5,1
+Masters,2017,Bangalore,2,28,Male,No,2,0
+Masters,2017,New Delhi,3,24,Female,No,2,1
+Bachelors,2017,Pune,3,24,Male,No,2,0
+Bachelors,2018,Bangalore,3,24,Male,No,2,1
+Masters,2017,New Delhi,2,28,Male,No,3,0
+Bachelors,2015,Bangalore,3,26,Female,Yes,4,0
+Bachelors,2018,Pune,3,26,Female,No,4,1
+Bachelors,2013,Bangalore,3,25,Male,Yes,3,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Masters,2018,Pune,3,28,Male,No,2,1
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,27,Female,No,5,0
+PHD,2016,New Delhi,3,27,Male,No,5,0
+Bachelors,2017,New Delhi,2,25,Male,No,3,0
+Bachelors,2015,New Delhi,3,28,Female,No,2,0
+Bachelors,2013,Pune,2,26,Female,No,4,1
+Bachelors,2017,Bangalore,3,27,Female,No,5,0
+Bachelors,2015,Pune,2,24,Female,No,2,1
+Bachelors,2017,Bangalore,3,27,Female,No,5,0
+Bachelors,2016,Bangalore,3,25,Male,No,3,1
+Bachelors,2018,Bangalore,3,26,Male,No,4,1
+Bachelors,2015,Bangalore,3,27,Male,No,5,0
+Bachelors,2014,Pune,3,24,Male,No,2,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2013,Pune,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,1,25,Male,No,3,0
+Masters,2017,New Delhi,2,25,Female,No,3,0
+PHD,2015,Pune,3,28,Male,No,0,0
+Bachelors,2015,Bangalore,3,28,Male,No,3,0
+Bachelors,2016,Bangalore,3,28,Male,No,5,0
+PHD,2013,New Delhi,3,24,Male,No,2,0
+Bachelors,2014,Bangalore,3,26,Male,Yes,4,0
+Bachelors,2015,Pune,2,26,Female,Yes,4,1
+Bachelors,2017,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2014,New Delhi,3,26,Male,No,4,0
+Masters,2013,Bangalore,3,27,Male,No,5,1
+Bachelors,2016,Pune,3,24,Male,Yes,2,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Pune,2,28,Female,No,2,1
+Masters,2017,Bangalore,2,24,Male,No,2,1
+Masters,2017,New Delhi,2,24,Male,No,2,1
+Masters,2015,Pune,2,24,Female,No,2,1
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2016,Pune,2,27,Female,No,5,1
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+Masters,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2016,Bangalore,1,25,Female,No,3,0
+PHD,2014,Bangalore,1,25,Female,No,3,0
+Bachelors,2013,Bangalore,3,25,Female,No,3,0
+Bachelors,2014,New Delhi,3,24,Male,No,2,0
+Bachelors,2015,Pune,2,28,Female,Yes,2,1
+Bachelors,2014,New Delhi,3,28,Male,No,5,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2018,Pune,3,26,Male,No,4,1
+Masters,2015,Pune,2,28,Female,No,2,0
+Masters,2013,New Delhi,3,28,Male,No,2,1
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Masters,2015,New Delhi,2,26,Female,No,4,0
+Bachelors,2016,New Delhi,3,27,Male,No,5,0
+Bachelors,2014,Bangalore,3,24,Female,No,2,0
+Masters,2017,Pune,3,24,Female,No,2,0
+Bachelors,2014,Pune,3,25,Female,No,3,1
+Bachelors,2015,Pune,3,27,Female,No,5,1
+Bachelors,2017,New Delhi,2,28,Male,No,0,0
+Bachelors,2017,New Delhi,3,25,Female,No,3,0
+Bachelors,2012,Pune,3,24,Male,No,2,1
+Masters,2016,New Delhi,3,25,Male,No,3,1
+Bachelors,2015,Pune,2,26,Female,No,4,1
+Masters,2014,New Delhi,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,24,Female,No,2,1
+Bachelors,2014,New Delhi,3,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Bachelors,2017,New Delhi,3,24,Female,No,2,1
+Bachelors,2012,Bangalore,3,28,Male,No,1,0
+Bachelors,2014,Bangalore,1,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,28,Male,Yes,3,0
+Bachelors,2015,Pune,1,25,Female,No,3,1
+Bachelors,2015,Pune,2,24,Female,Yes,2,1
+Bachelors,2017,Pune,2,26,Male,No,4,0
+Bachelors,2015,Bangalore,3,28,Male,No,0,0
+Bachelors,2016,Bangalore,3,28,Male,No,2,0
+Bachelors,2013,Pune,3,28,Female,Yes,3,1
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Masters,2015,New Delhi,3,25,Male,No,3,0
+Bachelors,2012,New Delhi,3,28,Female,No,4,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Masters,2017,New Delhi,3,25,Male,No,3,1
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+Bachelors,2012,Bangalore,3,26,Female,No,4,0
+Bachelors,2017,Bangalore,3,26,Female,No,4,0
+Masters,2017,New Delhi,2,25,Male,Yes,3,1
+Bachelors,2015,Bangalore,3,25,Male,No,3,0
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Bachelors,2017,Pune,3,25,Female,No,3,1
+Bachelors,2014,New Delhi,3,28,Female,Yes,2,0
+Bachelors,2016,Bangalore,3,27,Female,No,5,0
+Bachelors,2018,Bangalore,3,25,Male,No,3,1
+Bachelors,2012,Bangalore,3,27,Female,Yes,5,0
+Bachelors,2017,New Delhi,3,27,Female,No,5,0
+Bachelors,2016,Bangalore,2,25,Male,No,3,1
+Bachelors,2016,Bangalore,3,28,Female,No,4,0
+Bachelors,2017,New Delhi,2,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,24,Female,No,2,0
+Bachelors,2013,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,New Delhi,2,25,Female,No,3,0
+Bachelors,2015,Pune,3,24,Male,No,2,0
+Bachelors,2012,New Delhi,3,25,Female,No,3,0
+PHD,2017,New Delhi,3,27,Female,No,5,0
+Bachelors,2014,Bangalore,3,25,Female,No,3,1
+Masters,2017,Bangalore,3,28,Male,No,2,0
+Bachelors,2016,Pune,3,25,Male,No,3,0
+Bachelors,2014,Bangalore,3,25,Male,Yes,3,0
+Bachelors,2012,New Delhi,3,27,Male,No,5,0
+Bachelors,2012,Pune,3,25,Female,No,3,1
+Masters,2015,New Delhi,3,27,Female,No,5,0
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2015,Pune,2,27,Female,No,5,1
+Bachelors,2014,Bangalore,3,25,Male,No,3,1
+Bachelors,2015,Bangalore,3,25,Male,No,3,0
+Bachelors,2018,New Delhi,3,26,Female,No,4,1
+Bachelors,2017,Pune,2,26,Female,No,4,1
+Bachelors,2014,Pune,2,24,Female,No,2,1
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,New Delhi,2,27,Male,No,5,0
+PHD,2012,New Delhi,3,28,Female,No,1,0
+Masters,2012,New Delhi,3,26,Female,No,4,1
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,28,Female,No,0,1
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2016,Pune,2,24,Female,No,2,1
+Bachelors,2015,Bangalore,1,24,Female,No,2,1
+Bachelors,2012,Bangalore,3,26,Female,No,4,0
+Masters,2014,Pune,3,27,Male,No,5,0
+Masters,2017,New Delhi,2,27,Male,No,5,1
+Masters,2017,New Delhi,1,25,Female,No,3,0
+Masters,2012,Pune,3,28,Male,No,0,1
+Masters,2012,New Delhi,3,28,Male,No,2,1
+Masters,2013,New Delhi,2,24,Male,No,2,1
+Bachelors,2015,Pune,3,25,Female,No,3,1
+Masters,2017,New Delhi,3,28,Male,No,5,0
+Bachelors,2013,Bangalore,3,24,Male,No,2,0
+Masters,2015,Bangalore,3,28,Male,No,1,1
+Bachelors,2018,Bangalore,3,27,Female,Yes,5,1
+Bachelors,2015,Bangalore,3,24,Male,No,2,1
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2013,New Delhi,3,25,Female,No,3,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2018,New Delhi,3,28,Female,No,0,1
+Bachelors,2013,Bangalore,3,25,Female,No,3,0
+PHD,2012,Pune,3,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,24,Male,No,2,0
+Bachelors,2013,Bangalore,3,28,Female,No,3,0
+Bachelors,2015,Pune,3,24,Male,No,2,0
+Bachelors,2013,Pune,3,27,Male,No,5,0
+Bachelors,2012,New Delhi,3,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,26,Female,Yes,4,1
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Pune,2,24,Female,No,2,1
+Bachelors,2016,Bangalore,3,24,Male,No,2,0
+PHD,2018,Bangalore,3,27,Female,No,5,1
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,New Delhi,1,26,Female,No,4,1
+Bachelors,2015,Pune,2,24,Female,No,2,1
+Bachelors,2013,Pune,3,27,Male,No,5,0
+PHD,2016,New Delhi,3,24,Female,No,2,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Bangalore,3,28,Male,No,5,0
+Bachelors,2015,Bangalore,3,26,Female,No,4,0
+Bachelors,2016,Bangalore,3,27,Female,No,5,0
+Bachelors,2017,Pune,3,25,Female,No,3,1
+Masters,2017,New Delhi,2,26,Male,No,4,1
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2014,Bangalore,3,26,Female,No,4,1
+Bachelors,2015,Pune,2,25,Female,No,3,1
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Pune,2,28,Male,No,1,1
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+PHD,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,New Delhi,3,25,Female,Yes,3,1
+Bachelors,2017,Bangalore,1,28,Female,No,3,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,New Delhi,3,27,Male,No,5,0
+Masters,2013,Pune,2,28,Male,No,2,1
+Bachelors,2013,New Delhi,3,25,Female,Yes,3,1
+Masters,2017,New Delhi,2,26,Male,No,4,0
+Masters,2016,New Delhi,3,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,28,Female,Yes,5,0
+Masters,2017,New Delhi,2,28,Female,No,2,0
+Bachelors,2012,Bangalore,1,27,Male,No,5,1
+Bachelors,2018,Bangalore,3,27,Male,No,5,1
+Bachelors,2016,Bangalore,3,24,Female,No,2,0
+Bachelors,2017,Pune,3,26,Male,No,4,0
+Bachelors,2017,New Delhi,3,25,Female,No,3,0
+Bachelors,2015,Pune,3,28,Female,Yes,5,1
+Bachelors,2015,Bangalore,3,26,Male,No,4,1
+Masters,2015,Pune,2,26,Female,Yes,4,1
+Masters,2015,Pune,3,25,Male,No,3,1
+Bachelors,2016,Pune,3,27,Female,No,5,1
+Bachelors,2013,Bangalore,3,25,Male,No,3,0
+Bachelors,2018,Pune,3,26,Male,Yes,4,1
+Bachelors,2014,Bangalore,3,27,Female,No,5,0
+Bachelors,2017,Bangalore,1,25,Male,No,3,0
+Bachelors,2015,New Delhi,3,26,Male,No,4,0
+Bachelors,2015,Pune,3,24,Female,No,2,1
+Bachelors,2015,Bangalore,3,28,Male,No,2,0
+Bachelors,2014,Pune,2,26,Female,No,4,1
+Bachelors,2017,Bangalore,3,27,Male,No,5,1
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2018,New Delhi,3,28,Female,No,5,1
+Bachelors,2015,Bangalore,3,28,Male,No,0,1
+Bachelors,2016,New Delhi,3,28,Female,No,3,0
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+Bachelors,2015,Pune,3,24,Female,No,2,1
+Masters,2018,New Delhi,3,28,Male,No,2,1
+Bachelors,2015,Bangalore,3,27,Female,No,5,0
+Bachelors,2017,Bangalore,3,24,Male,No,2,1
+Bachelors,2017,New Delhi,2,28,Female,No,0,0
+Bachelors,2015,Bangalore,3,25,Male,No,3,0
+Bachelors,2012,Bangalore,3,28,Male,No,2,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,1,24,Male,No,2,0
+Bachelors,2016,Pune,3,27,Male,No,5,0
+Bachelors,2013,Pune,3,24,Male,No,2,0
+Masters,2017,Pune,2,26,Female,No,4,1
+Bachelors,2017,New Delhi,3,26,Male,No,4,0
+Bachelors,2018,Pune,3,25,Female,No,3,1
+Bachelors,2018,Bangalore,3,24,Male,No,2,1
+Bachelors,2015,Pune,3,24,Male,Yes,2,0
+Bachelors,2013,Bangalore,3,24,Female,No,2,1
+Bachelors,2013,Pune,2,28,Male,Yes,0,1
+Bachelors,2018,Bangalore,3,24,Male,No,2,1
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2016,Bangalore,3,28,Female,No,5,0
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2014,Bangalore,3,26,Female,No,4,0
+Masters,2017,Bangalore,2,28,Male,No,2,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,27,Female,No,5,0
+Masters,2018,Bangalore,3,28,Male,No,2,1
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Bachelors,2012,Pune,3,24,Male,No,2,0
+Bachelors,2016,New Delhi,3,28,Male,No,0,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,24,Male,No,2,1
+Bachelors,2012,Bangalore,1,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,28,Female,No,5,0
+Bachelors,2014,Pune,3,25,Male,No,3,0
+Bachelors,2015,Pune,3,25,Male,No,3,0
+Bachelors,2017,Pune,2,28,Male,No,0,1
+Bachelors,2015,Pune,2,26,Female,No,4,1
+Bachelors,2015,Pune,2,27,Female,No,5,1
+Bachelors,2015,Pune,3,26,Female,No,4,1
+Bachelors,2015,Bangalore,2,28,Female,No,3,1
+Bachelors,2012,Pune,3,25,Male,No,3,0
+Bachelors,2013,Bangalore,3,25,Male,Yes,3,1
+Bachelors,2016,New Delhi,3,26,Male,No,4,0
+PHD,2018,New Delhi,3,24,Female,No,2,1
+Bachelors,2014,Bangalore,3,27,Female,No,5,0
+Masters,2017,New Delhi,2,26,Male,Yes,4,1
+Bachelors,2015,Pune,2,27,Female,No,5,1
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Masters,2017,Pune,2,25,Female,No,3,0
+Bachelors,2017,New Delhi,3,28,Female,No,2,0
+Bachelors,2014,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2012,Bangalore,3,24,Male,No,2,0
+Bachelors,2018,Pune,3,24,Male,No,2,1
+Bachelors,2015,Bangalore,3,27,Female,Yes,5,1
+Bachelors,2015,New Delhi,3,28,Female,No,3,0
+Bachelors,2015,Pune,3,27,Female,No,5,1
+Bachelors,2015,Bangalore,3,28,Male,No,5,0
+Bachelors,2015,New Delhi,2,27,Female,Yes,5,1
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+Masters,2017,New Delhi,3,27,Female,No,5,1
+Bachelors,2017,Pune,2,26,Female,No,4,1
+Bachelors,2015,Pune,3,27,Female,No,5,1
+Bachelors,2018,Pune,3,27,Female,No,5,1
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+PHD,2013,New Delhi,3,27,Female,No,5,1
+Bachelors,2016,Bangalore,3,28,Male,No,2,0
+Bachelors,2012,Bangalore,3,25,Female,Yes,3,0
+Bachelors,2015,Bangalore,3,27,Male,No,5,0
+Bachelors,2016,Pune,2,24,Female,No,2,1
+Bachelors,2016,Bangalore,3,26,Male,No,4,1
+Bachelors,2014,Pune,3,27,Male,Yes,5,0
+Bachelors,2013,Bangalore,3,24,Male,Yes,2,0
+Bachelors,2017,Bangalore,3,25,Male,No,3,1
+Bachelors,2017,Pune,2,24,Female,No,2,1
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Masters,2013,Bangalore,3,26,Female,No,4,1
+Bachelors,2012,Pune,3,25,Female,No,3,1
+Bachelors,2015,New Delhi,3,28,Female,No,2,0
+Masters,2017,New Delhi,2,24,Female,No,2,0
+Masters,2013,New Delhi,3,26,Male,No,4,1
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+PHD,2016,New Delhi,3,24,Female,No,2,0
+Bachelors,2017,New Delhi,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,New Delhi,3,28,Female,No,0,0
+PHD,2016,New Delhi,3,27,Female,No,5,0
+Masters,2014,Bangalore,3,28,Female,No,4,1
+Bachelors,2014,Bangalore,3,28,Female,No,2,0
+Bachelors,2017,Bangalore,3,24,Female,No,2,0
+Masters,2015,New Delhi,3,28,Male,No,0,0
+Bachelors,2015,Pune,2,25,Female,No,3,1
+Masters,2017,Pune,2,27,Male,No,5,1
+Bachelors,2014,Pune,2,25,Female,No,3,1
+Bachelors,2015,Pune,2,28,Female,Yes,2,1
+Bachelors,2013,Pune,3,25,Male,No,3,0
+Bachelors,2013,Pune,1,26,Female,No,4,1
+Bachelors,2012,Pune,2,27,Female,No,5,1
+Masters,2017,New Delhi,3,28,Male,No,0,0
+Bachelors,2012,Bangalore,3,28,Female,No,1,0
+Bachelors,2015,Pune,2,25,Female,Yes,3,1
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Bangalore,3,24,Female,No,2,0
+Bachelors,2018,New Delhi,3,24,Female,No,2,1
+Bachelors,2017,New Delhi,3,27,Female,Yes,5,0
+PHD,2012,Pune,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,25,Male,No,3,1
+Bachelors,2015,New Delhi,3,24,Female,No,2,0
+Bachelors,2013,Pune,3,24,Female,No,2,0
+Bachelors,2016,Pune,3,24,Male,No,2,0
+Bachelors,2018,Pune,3,24,Male,Yes,2,1
+Bachelors,2015,Bangalore,3,27,Female,Yes,5,1
+Bachelors,2018,Bangalore,3,26,Male,No,4,1
+Bachelors,2012,Pune,3,24,Female,No,2,1
+Masters,2017,New Delhi,3,27,Male,No,5,1
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,New Delhi,3,25,Female,No,3,0
+Bachelors,2018,Bangalore,3,24,Female,No,2,1
+Bachelors,2014,Bangalore,3,28,Male,No,4,0
+Bachelors,2013,Pune,1,26,Female,No,4,1
+Bachelors,2015,Bangalore,3,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,24,Male,No,2,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,1
+Bachelors,2013,Bangalore,3,25,Female,No,3,1
+Bachelors,2016,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2017,Pune,3,26,Male,No,4,0
+Bachelors,2018,Pune,2,28,Female,No,5,1
+Masters,2017,Pune,2,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,25,Female,No,3,0
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Bachelors,2017,New Delhi,2,25,Female,No,3,0
+Bachelors,2018,Pune,3,27,Female,No,5,1
+Bachelors,2016,Pune,3,27,Male,No,5,0
+Bachelors,2013,Bangalore,1,24,Male,No,2,0
+Bachelors,2012,Bangalore,1,28,Male,No,3,0
+Bachelors,2016,Pune,2,28,Female,No,3,1
+Bachelors,2016,Pune,3,24,Male,No,2,0
+Bachelors,2017,Bangalore,3,28,Male,No,3,0
+Bachelors,2017,Pune,2,28,Male,No,3,0
+Bachelors,2017,Bangalore,3,25,Female,No,3,1
+Bachelors,2015,Bangalore,3,25,Male,No,3,0
+Masters,2013,New Delhi,3,25,Male,No,3,1
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Bachelors,2013,Pune,3,27,Male,No,5,0
+Bachelors,2013,Pune,2,24,Female,No,2,1
+Bachelors,2017,Bangalore,3,28,Male,No,1,1
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2015,Pune,1,24,Female,No,2,1
+Masters,2013,New Delhi,3,24,Female,Yes,2,1
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,New Delhi,2,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Masters,2013,New Delhi,3,25,Male,No,3,1
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2014,Pune,2,28,Female,No,3,1
+Masters,2015,New Delhi,3,28,Male,No,2,0
+Bachelors,2015,Bangalore,3,28,Male,No,5,0
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Bachelors,2014,Pune,3,27,Male,No,5,0
+Bachelors,2015,Pune,2,28,Female,No,5,1
+Masters,2017,New Delhi,2,26,Female,No,4,1
+Bachelors,2016,New Delhi,3,26,Female,No,4,0
+Bachelors,2016,Bangalore,3,26,Female,No,4,0
+Bachelors,2013,New Delhi,3,27,Female,No,5,0
+Bachelors,2014,Bangalore,3,28,Male,No,3,0
+Bachelors,2017,New Delhi,3,25,Male,No,3,0
+Bachelors,2015,Bangalore,1,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,24,Female,No,2,0
+Bachelors,2014,Pune,2,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,24,Male,No,2,1
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Bachelors,2012,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2012,Bangalore,3,28,Male,No,1,0
+Masters,2017,New Delhi,2,25,Female,No,3,1
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2016,Pune,2,27,Female,No,5,1
+Bachelors,2017,Pune,3,28,Male,No,3,0
+Masters,2017,New Delhi,3,28,Male,No,2,0
+PHD,2018,Pune,3,26,Male,No,4,1
+Masters,2017,New Delhi,2,24,Male,No,2,1
+Bachelors,2014,Bangalore,3,28,Male,No,0,0
+Masters,2015,Pune,3,26,Female,No,4,0
+Bachelors,2016,Bangalore,3,27,Male,No,5,1
+Bachelors,2016,New Delhi,3,28,Female,No,4,0
+Bachelors,2012,Pune,3,26,Male,No,4,0
+Masters,2015,Bangalore,2,27,Female,No,5,1
+Masters,2017,Pune,1,28,Male,No,0,0
+Masters,2015,New Delhi,3,28,Female,No,2,0
+Bachelors,2017,Bangalore,3,26,Male,No,4,1
+Bachelors,2017,Pune,3,28,Female,No,4,1
+Bachelors,2015,Pune,3,25,Male,No,3,0
+Masters,2017,New Delhi,2,27,Female,No,5,0
+Masters,2015,Pune,2,27,Female,No,5,0
+Bachelors,2015,Bangalore,3,25,Male,No,3,1
+Bachelors,2013,Bangalore,3,28,Female,No,1,0
+Bachelors,2015,Pune,3,25,Female,No,3,1
+Bachelors,2012,Bangalore,3,28,Female,No,2,1
+Bachelors,2016,Pune,3,27,Female,No,5,1
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+PHD,2018,New Delhi,3,26,Male,No,4,1
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2018,Pune,3,28,Male,No,2,1
+Bachelors,2013,Bangalore,3,24,Male,No,2,0
+Bachelors,2013,New Delhi,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,28,Male,Yes,1,0
+Masters,2017,New Delhi,2,28,Female,No,2,0
+Bachelors,2016,Bangalore,1,24,Male,No,2,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2014,Pune,2,27,Female,No,5,1
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,New Delhi,3,27,Male,No,5,0
+Masters,2018,New Delhi,3,24,Male,No,2,1
+Bachelors,2016,Bangalore,3,26,Male,No,4,1
+Bachelors,2017,Bangalore,3,28,Male,Yes,3,0
+Bachelors,2017,New Delhi,3,26,Female,No,4,0
+Bachelors,2016,Pune,3,28,Male,No,3,0
+Bachelors,2015,New Delhi,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,1
+Bachelors,2017,Pune,2,24,Female,No,2,1
+Bachelors,2016,Bangalore,3,26,Male,No,4,1
+PHD,2016,New Delhi,1,26,Male,No,4,0
+Bachelors,2018,Bangalore,3,24,Female,No,2,1
+Bachelors,2017,Bangalore,2,28,Female,No,1,0
+Bachelors,2013,Bangalore,3,24,Female,No,2,0
+Masters,2014,New Delhi,3,25,Female,No,3,0
+Bachelors,2012,Pune,1,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,28,Male,No,5,0
+Bachelors,2013,Bangalore,3,28,Male,No,2,1
+Masters,2017,Pune,2,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,28,Male,Yes,0,0
+Bachelors,2014,New Delhi,3,25,Male,No,3,0
+Bachelors,2013,Bangalore,3,25,Female,No,3,1
+Bachelors,2017,Bangalore,3,24,Female,No,2,1
+Bachelors,2015,Bangalore,3,26,Female,No,4,0
+Bachelors,2014,Bangalore,3,28,Male,No,4,0
+Bachelors,2017,New Delhi,2,28,Male,No,0,0
+Masters,2017,New Delhi,3,24,Female,No,2,0
+PHD,2017,Pune,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,28,Female,No,5,0
+Bachelors,2017,New Delhi,3,25,Female,No,3,0
+Masters,2017,Bangalore,3,25,Male,No,3,0
+Masters,2017,Bangalore,1,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,25,Male,No,3,1
+Bachelors,2016,Bangalore,3,27,Male,No,5,1
+Bachelors,2013,Bangalore,3,24,Male,No,2,0
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Bachelors,2014,Pune,3,25,Male,No,3,1
+Bachelors,2018,Bangalore,3,25,Female,No,3,1
+Masters,2012,Pune,3,26,Male,No,4,1
+PHD,2016,Bangalore,3,25,Male,No,3,0
+Bachelors,2015,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,New Delhi,2,25,Male,No,3,1
+Bachelors,2015,New Delhi,3,27,Female,No,5,0
+Bachelors,2017,Pune,3,26,Male,No,4,0
+Bachelors,2016,Pune,3,26,Male,No,4,0
+Bachelors,2018,Bangalore,3,26,Male,No,4,1
+Masters,2018,New Delhi,3,25,Female,No,3,1
+Masters,2017,Pune,2,25,Male,No,3,0
+Masters,2014,Bangalore,3,24,Female,No,2,0
+Bachelors,2014,Pune,3,28,Female,No,2,1
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Pune,3,26,Male,No,4,0
+Bachelors,2014,Pune,2,28,Female,No,0,1
+Bachelors,2017,New Delhi,3,25,Female,Yes,3,0
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,26,Female,No,4,0
+Masters,2017,Bangalore,2,26,Male,No,4,1
+Bachelors,2017,New Delhi,3,25,Female,No,3,0
+Bachelors,2018,Bangalore,3,25,Male,No,3,1
+Bachelors,2014,New Delhi,3,27,Female,No,5,0
+Bachelors,2017,Bangalore,3,28,Male,No,5,0
+Bachelors,2015,Bangalore,1,24,Female,No,2,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,1
+Bachelors,2018,Bangalore,3,26,Female,No,4,1
+Masters,2017,New Delhi,2,28,Female,No,2,0
+Bachelors,2016,Pune,3,28,Female,No,4,1
+Bachelors,2016,Bangalore,3,25,Male,No,3,0
+Bachelors,2015,Pune,3,27,Female,Yes,5,1
+Bachelors,2015,Bangalore,3,26,Male,No,4,1
+Bachelors,2015,Pune,3,28,Female,Yes,5,1
+Bachelors,2013,Pune,3,27,Male,No,5,0
+Masters,2017,Pune,2,25,Male,No,3,0
+Bachelors,2015,Pune,2,25,Female,Yes,3,1
+Bachelors,2015,Pune,2,24,Female,No,2,1
+Masters,2017,New Delhi,2,28,Female,No,2,0
+Bachelors,2014,New Delhi,3,24,Female,No,2,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,1
+Bachelors,2015,Pune,2,28,Female,No,5,1
+Bachelors,2015,New Delhi,2,27,Female,No,5,1
+Bachelors,2017,Bangalore,3,24,Female,No,2,0
+Masters,2016,New Delhi,3,25,Female,No,3,0
+Bachelors,2012,Pune,3,24,Male,Yes,2,0
+Bachelors,2015,New Delhi,3,24,Female,No,2,0
+Bachelors,2015,Pune,2,26,Female,No,4,1
+Masters,2017,Pune,2,27,Female,No,5,0
+Bachelors,2013,Bangalore,1,24,Female,No,2,1
+PHD,2017,Pune,3,28,Male,No,1,0
+Bachelors,2017,Bangalore,3,24,Female,No,2,0
+Bachelors,2015,Pune,2,24,Female,No,2,1
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2016,New Delhi,3,28,Male,No,4,0
+Masters,2017,New Delhi,2,28,Female,No,2,0
+PHD,2014,New Delhi,3,24,Male,No,2,0
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Masters,2014,New Delhi,3,24,Male,No,2,0
+Bachelors,2013,New Delhi,3,24,Female,No,2,0
+Masters,2017,New Delhi,3,26,Male,No,4,1
+Bachelors,2014,Pune,2,27,Male,No,5,0
+Masters,2013,Bangalore,3,25,Male,No,3,1
+Masters,2012,New Delhi,3,27,Female,No,5,1
+Masters,2017,Bangalore,2,25,Male,No,3,0
+Bachelors,2012,New Delhi,3,28,Male,No,5,0
+Bachelors,2014,Bangalore,3,28,Male,No,0,0
+Bachelors,2017,New Delhi,3,28,Female,No,4,0
+Bachelors,2016,Pune,3,27,Male,No,5,1
+Bachelors,2017,New Delhi,2,27,Female,No,5,0
+PHD,2014,Bangalore,3,28,Female,No,0,0
+Bachelors,2013,Pune,2,25,Male,No,3,1
+Bachelors,2017,Pune,3,28,Male,No,3,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2013,Bangalore,2,24,Female,No,2,1
+Masters,2017,New Delhi,2,25,Male,No,3,0
+Bachelors,2014,Pune,3,24,Male,No,2,0
+Bachelors,2013,New Delhi,1,25,Female,No,3,1
+Bachelors,2015,Pune,3,28,Male,No,2,0
+Masters,2017,New Delhi,3,28,Male,No,1,1
+Bachelors,2017,New Delhi,2,27,Female,No,5,0
+Bachelors,2018,Pune,3,24,Male,No,2,1
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,27,Female,Yes,5,0
+Masters,2017,New Delhi,1,26,Female,No,4,1
+Masters,2017,Bangalore,2,26,Female,No,4,0
+Bachelors,2013,Pune,3,26,Male,No,4,0
+Masters,2014,New Delhi,1,25,Female,No,3,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,25,Male,No,3,0
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,28,Female,No,5,0
+Masters,2012,New Delhi,3,25,Male,No,3,1
+Bachelors,2013,Bangalore,3,28,Male,No,2,1
+Bachelors,2014,Bangalore,1,25,Male,No,3,0
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2013,Pune,3,28,Male,No,0,0
+Bachelors,2015,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2014,Pune,1,28,Female,No,3,1
+Masters,2017,Pune,2,25,Female,No,3,1
+Masters,2013,New Delhi,3,28,Female,No,2,0
+Masters,2017,Bangalore,2,27,Female,No,5,1
+Bachelors,2015,Bangalore,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,New Delhi,3,26,Female,No,4,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Masters,2017,New Delhi,2,28,Female,No,3,0
+Bachelors,2017,New Delhi,2,26,Male,No,4,0
+Bachelors,2013,Pune,2,27,Female,No,5,1
+Masters,2015,Bangalore,3,27,Female,No,5,0
+Masters,2017,Pune,3,27,Female,No,5,1
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2014,Bangalore,3,25,Female,No,3,0
+Bachelors,2016,Bangalore,3,26,Female,No,4,0
+Bachelors,2016,Bangalore,3,26,Female,No,4,0
+Bachelors,2014,New Delhi,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,28,Male,No,3,0
+Bachelors,2012,Pune,3,25,Male,No,3,0
+Masters,2014,Bangalore,3,28,Female,No,3,1
+Bachelors,2016,New Delhi,3,26,Male,No,4,0
+Bachelors,2012,New Delhi,3,24,Female,No,2,0
+Bachelors,2015,Pune,2,28,Female,No,4,1
+Bachelors,2017,New Delhi,2,24,Male,No,2,0
+Bachelors,2015,New Delhi,3,25,Male,No,3,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,28,Female,No,3,1
+Bachelors,2017,Bangalore,3,24,Female,No,2,0
+Masters,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2016,Bangalore,3,25,Male,Yes,3,1
+Bachelors,2016,Bangalore,3,26,Male,Yes,4,0
+Masters,2017,Bangalore,2,24,Female,No,2,0
+Bachelors,2017,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2014,Pune,2,27,Female,No,5,1
+Masters,2017,New Delhi,1,24,Female,No,2,0
+Bachelors,2014,Bangalore,3,28,Male,No,1,0
+Bachelors,2013,Pune,3,26,Male,No,4,0
+Bachelors,2014,Pune,3,28,Male,No,0,0
+Masters,2013,New Delhi,3,28,Male,No,1,0
+Masters,2017,Pune,2,27,Female,No,5,0
+Bachelors,2017,Pune,3,28,Male,No,1,0
+Bachelors,2016,New Delhi,3,26,Female,No,4,0
+PHD,2018,Bangalore,3,27,Male,No,5,1
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2013,Pune,3,25,Male,No,3,0
+Masters,2017,Pune,3,25,Male,No,3,0
+Bachelors,2017,Pune,2,24,Female,No,2,1
+Bachelors,2017,New Delhi,3,24,Female,No,2,0
+PHD,2014,Pune,3,24,Male,No,2,0
+PHD,2017,Bangalore,3,24,Female,No,2,0
+Masters,2017,New Delhi,2,26,Male,No,4,1
+Bachelors,2013,Pune,2,24,Male,Yes,2,1
+PHD,2016,New Delhi,3,27,Female,No,5,0
+Masters,2017,New Delhi,2,25,Female,Yes,3,1
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2017,New Delhi,3,25,Female,No,3,0
+Bachelors,2012,Bangalore,3,27,Female,No,5,0
+Bachelors,2016,Bangalore,3,26,Male,Yes,4,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Pune,2,27,Female,Yes,5,1
+Bachelors,2016,Pune,3,28,Female,No,2,1
+Masters,2017,New Delhi,2,27,Female,No,5,1
+Bachelors,2018,Bangalore,3,25,Female,No,3,1
+Bachelors,2014,Pune,3,27,Male,Yes,5,0
+Bachelors,2014,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2015,New Delhi,3,25,Female,No,3,0
+Masters,2017,Bangalore,3,26,Female,No,4,0
+Masters,2018,New Delhi,3,25,Male,No,3,1
+Bachelors,2018,Bangalore,3,25,Male,No,3,1
+Bachelors,2014,Bangalore,3,28,Male,No,1,0
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Bachelors,2013,Bangalore,3,28,Female,No,3,0
+Bachelors,2015,Pune,3,24,Male,No,2,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,New Delhi,3,25,Female,No,3,0
+Masters,2017,New Delhi,1,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,25,Female,No,3,0
+Bachelors,2013,Pune,2,26,Male,Yes,4,0
+Bachelors,2018,Pune,1,26,Male,Yes,4,0
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Bachelors,2016,Bangalore,3,24,Male,No,2,0
+Bachelors,2014,Bangalore,3,24,Female,No,2,0
+PHD,2017,New Delhi,3,28,Male,No,3,0
+Bachelors,2017,New Delhi,2,24,Female,No,2,1
+Bachelors,2015,Bangalore,3,25,Female,No,3,0
+Bachelors,2015,Pune,3,26,Male,No,4,0
+Masters,2014,Bangalore,3,27,Male,No,5,1
+Bachelors,2012,Pune,3,24,Female,No,2,1
+Bachelors,2015,Pune,2,26,Female,No,4,1
+Bachelors,2013,Bangalore,3,24,Female,No,2,0
+Bachelors,2017,Bangalore,3,26,Female,No,4,0
+Masters,2017,New Delhi,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,24,Male,No,2,0
+Bachelors,2015,Pune,3,28,Male,No,2,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,24,Male,Yes,2,0
+Masters,2015,Pune,2,28,Female,No,0,0
+Bachelors,2017,Pune,3,26,Male,Yes,4,0
+Bachelors,2018,Bangalore,3,27,Female,No,5,1
+Masters,2017,Pune,3,27,Male,No,5,1
+Bachelors,2013,Bangalore,1,27,Female,No,5,0
+Bachelors,2016,Bangalore,3,27,Female,No,5,0
+Bachelors,2013,Pune,3,28,Male,No,1,0
+Bachelors,2017,Pune,3,28,Male,No,2,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Bangalore,3,25,Female,No,3,0
+Bachelors,2015,Pune,3,24,Female,No,2,1
+Bachelors,2014,New Delhi,3,28,Male,No,1,0
+Bachelors,2017,New Delhi,2,28,Female,No,2,0
+Masters,2015,New Delhi,3,26,Male,No,4,1
+PHD,2014,New Delhi,3,25,Male,No,3,0
+Bachelors,2013,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+Bachelors,2013,New Delhi,2,24,Female,No,2,1
+Bachelors,2014,Pune,3,25,Male,No,3,0
+Bachelors,2017,New Delhi,3,25,Female,No,3,0
+Masters,2017,New Delhi,2,24,Male,Yes,2,1
+Bachelors,2015,New Delhi,3,28,Female,No,2,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,1
+Bachelors,2015,Pune,3,26,Male,No,4,0
+Bachelors,2017,Pune,2,27,Female,No,5,1
+Bachelors,2016,Bangalore,3,24,Male,No,2,0
+Bachelors,2014,Bangalore,2,26,Female,No,4,1
+Masters,2017,New Delhi,2,25,Female,No,3,0
+Bachelors,2012,New Delhi,3,25,Female,No,3,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,New Delhi,3,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,25,Female,No,3,1
+Bachelors,2016,Pune,3,27,Female,No,5,0
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Bachelors,2014,Pune,2,28,Female,No,1,1
+Bachelors,2017,Bangalore,2,28,Female,No,2,1
+Bachelors,2017,New Delhi,2,26,Female,No,4,1
+Bachelors,2013,Pune,2,27,Female,No,5,1
+Bachelors,2012,Bangalore,3,24,Female,No,2,0
+Masters,2017,Pune,2,27,Female,No,5,0
+Bachelors,2015,New Delhi,3,24,Male,No,2,0
+Bachelors,2013,New Delhi,3,28,Female,Yes,2,0
+Bachelors,2016,New Delhi,3,28,Male,No,0,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2018,Bangalore,3,27,Male,Yes,5,1
+Bachelors,2015,Bangalore,3,25,Male,No,3,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2018,Pune,3,24,Male,Yes,2,1
+Bachelors,2017,Bangalore,3,26,Male,Yes,4,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2012,Bangalore,3,26,Male,Yes,4,0
+Masters,2017,Bangalore,2,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,25,Female,No,3,0
+Masters,2013,Pune,3,25,Male,No,3,0
+Masters,2016,New Delhi,3,27,Male,No,5,1
+Bachelors,2014,Bangalore,3,28,Female,No,1,0
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+PHD,2013,Bangalore,2,25,Male,No,3,1
+Bachelors,2017,New Delhi,3,25,Male,No,3,0
+Bachelors,2015,Bangalore,3,24,Male,No,2,0
+Masters,2015,Bangalore,3,26,Female,No,4,1
+Bachelors,2013,Bangalore,3,25,Female,No,3,0
+Bachelors,2015,New Delhi,2,24,Female,No,2,1
+Masters,2015,New Delhi,2,27,Female,No,5,1
+Bachelors,2017,New Delhi,2,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,25,Male,No,3,0
+PHD,2017,New Delhi,3,24,Male,No,2,0
+Masters,2015,Bangalore,3,27,Male,No,5,1
+Bachelors,2015,New Delhi,2,28,Female,No,1,1
+Bachelors,2014,Bangalore,3,28,Male,No,2,1
+Bachelors,2014,Bangalore,3,25,Male,Yes,3,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Masters,2017,New Delhi,1,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,27,Male,No,5,1
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2013,Bangalore,3,28,Male,No,0,0
+Bachelors,2013,Bangalore,3,24,Male,No,2,0
+Bachelors,2012,Bangalore,3,28,Female,No,1,1
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Masters,2017,New Delhi,2,28,Male,No,3,0
+Bachelors,2013,Pune,3,24,Female,No,2,1
+Masters,2017,New Delhi,2,24,Male,No,2,1
+Bachelors,2014,Bangalore,3,28,Female,No,1,1
+Bachelors,2018,Bangalore,3,25,Male,No,3,1
+Masters,2012,New Delhi,3,27,Female,No,5,0
+Masters,2014,New Delhi,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,28,Male,No,5,0
+Bachelors,2017,Pune,3,28,Female,No,1,0
+Bachelors,2016,Bangalore,3,24,Male,No,2,0
+Bachelors,2016,New Delhi,3,24,Male,Yes,2,0
+Masters,2018,New Delhi,3,28,Male,Yes,2,1
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Masters,2013,New Delhi,3,25,Male,No,3,1
+Masters,2017,Bangalore,3,28,Female,No,0,1
+PHD,2018,Bangalore,3,26,Male,No,4,1
+Bachelors,2017,Bangalore,1,24,Male,No,2,0
+Bachelors,2017,New Delhi,2,25,Male,No,3,0
+Masters,2015,Pune,2,28,Female,No,0,0
+Bachelors,2014,Pune,2,27,Female,No,5,1
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,Pune,3,27,Male,Yes,5,0
+Bachelors,2017,Bangalore,3,28,Male,No,2,0
+Bachelors,2014,Bangalore,3,28,Male,No,1,0
+Bachelors,2014,New Delhi,3,28,Female,No,3,0
+Bachelors,2015,New Delhi,2,29,Female,No,1,1
+Bachelors,2012,Bangalore,3,29,Male,No,1,0
+Bachelors,2017,Pune,2,26,Male,No,4,0
+Bachelors,2015,Pune,3,28,Female,No,2,1
+Bachelors,2016,Pune,3,26,Male,No,4,0
+Masters,2017,New Delhi,3,26,Female,No,4,0
+Bachelors,2013,Pune,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,28,Male,No,1,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Pune,3,28,Female,Yes,2,1
+Bachelors,2017,New Delhi,3,28,Female,No,1,0
+Bachelors,2016,New Delhi,3,27,Female,Yes,5,0
+Bachelors,2018,Pune,3,27,Male,No,5,1
+Bachelors,2014,Bangalore,3,29,Male,Yes,2,0
+Bachelors,2015,Pune,2,28,Female,No,2,1
+Bachelors,2017,Pune,3,26,Female,No,4,1
+Masters,2017,New Delhi,3,28,Male,No,2,0
+Bachelors,2017,Pune,3,26,Male,No,4,0
+Bachelors,2017,Pune,3,26,Female,No,4,1
+Bachelors,2018,Bangalore,3,26,Female,Yes,4,1
+Bachelors,2014,Pune,3,30,Male,No,2,0
+Masters,2017,New Delhi,3,29,Male,No,2,1
+Masters,2017,Pune,2,26,Female,No,4,0
+Masters,2015,New Delhi,3,28,Female,No,2,0
+Bachelors,2016,Bangalore,3,30,Female,No,2,1
+Bachelors,2012,Bangalore,3,26,Female,No,4,1
+Bachelors,2014,Bangalore,3,29,Male,No,1,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2018,Bangalore,3,26,Male,Yes,4,1
+PHD,2018,New Delhi,2,29,Female,No,1,1
+Masters,2013,New Delhi,3,26,Male,No,4,1
+Masters,2015,Pune,3,30,Female,No,2,0
+Bachelors,2018,Pune,3,26,Male,No,4,1
+Masters,2013,New Delhi,2,29,Female,No,2,1
+Bachelors,2016,Bangalore,3,29,Male,No,2,0
+Bachelors,2013,Bangalore,3,28,Male,Yes,1,0
+Bachelors,2017,Pune,2,26,Female,No,4,1
+Masters,2017,Pune,2,30,Female,No,2,0
+Bachelors,2015,Pune,2,30,Female,Yes,1,1
+Masters,2017,New Delhi,2,29,Female,No,2,1
+Bachelors,2015,Bangalore,3,30,Male,No,2,0
+Bachelors,2015,Bangalore,3,27,Female,No,5,1
+Bachelors,2017,Pune,3,27,Female,No,5,1
+Bachelors,2014,Bangalore,3,30,Male,No,2,0
+Bachelors,2014,Bangalore,3,26,Female,No,4,0
+Masters,2013,New Delhi,3,26,Male,No,4,0
+Bachelors,2013,New Delhi,3,29,Female,No,1,1
+Bachelors,2018,New Delhi,3,27,Female,No,5,1
+Bachelors,2014,Bangalore,3,29,Male,No,1,0
+Bachelors,2017,Pune,3,26,Female,No,4,1
+Masters,2015,Bangalore,2,27,Female,Yes,5,1
+Masters,2017,New Delhi,2,29,Female,No,2,0
+Masters,2017,Bangalore,3,26,Female,No,4,0
+Bachelors,2015,Bangalore,3,28,Male,No,2,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,1
+Bachelors,2014,New Delhi,3,28,Female,No,2,0
+Bachelors,2012,Bangalore,3,29,Male,No,1,1
+Bachelors,2016,New Delhi,3,28,Female,No,2,0
+Masters,2012,New Delhi,3,26,Female,No,4,1
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Pune,3,28,Male,No,2,0
+Bachelors,2012,Bangalore,2,27,Female,No,5,1
+Bachelors,2018,Bangalore,3,28,Male,No,1,1
+Bachelors,2015,Pune,2,26,Female,No,4,1
+PHD,2016,Bangalore,3,29,Female,No,1,0
+Masters,2018,Bangalore,3,30,Female,No,2,1
+Bachelors,2014,Bangalore,3,28,Female,No,2,0
+Masters,2017,New Delhi,2,30,Male,No,2,0
+Bachelors,2012,Bangalore,3,30,Male,No,1,0
+Masters,2017,New Delhi,2,30,Male,No,2,0
+Bachelors,2017,New Delhi,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,28,Female,No,2,0
+Masters,2013,New Delhi,3,26,Female,No,4,0
+PHD,2015,New Delhi,1,29,Male,No,2,0
+Masters,2017,New Delhi,2,27,Female,No,5,1
+Bachelors,2016,Pune,3,30,Male,No,1,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,1
+Bachelors,2014,Pune,2,29,Female,No,2,1
+Bachelors,2016,Bangalore,3,30,Male,No,2,0
+Bachelors,2013,Bangalore,3,27,Female,No,5,0
+PHD,2015,New Delhi,2,29,Female,Yes,1,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,30,Male,No,2,1
+Masters,2017,Pune,2,29,Female,No,2,0
+Masters,2016,Bangalore,3,29,Female,No,2,0
+Bachelors,2017,Bangalore,3,27,Female,No,5,1
+Bachelors,2017,Bangalore,3,28,Male,No,2,0
+Bachelors,2017,Bangalore,3,27,Female,No,5,0
+Bachelors,2012,New Delhi,3,29,Male,No,1,0
+Bachelors,2017,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,28,Female,No,1,1
+Bachelors,2013,Pune,2,29,Female,No,1,1
+Bachelors,2015,Bangalore,1,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,30,Male,No,1,0
+Bachelors,2013,New Delhi,3,30,Female,No,1,0
+Masters,2017,Pune,2,27,Male,No,5,1
+Masters,2017,Pune,2,29,Male,No,2,0
+Bachelors,2016,New Delhi,3,29,Female,No,1,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,1
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,New Delhi,3,28,Female,Yes,1,0
+Bachelors,2013,Pune,2,28,Female,No,1,1
+Bachelors,2016,Bangalore,3,27,Female,Yes,5,0
+Bachelors,2017,Bangalore,3,26,Male,No,4,1
+Bachelors,2014,New Delhi,3,30,Male,No,2,1
+Bachelors,2015,Pune,2,30,Male,No,2,1
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Pune,3,26,Female,No,4,1
+Bachelors,2014,New Delhi,3,30,Male,No,1,0
+Masters,2017,Pune,2,26,Male,No,4,1
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+PHD,2017,Pune,3,28,Male,No,1,0
+Bachelors,2015,New Delhi,3,30,Female,No,2,0
+Bachelors,2016,Bangalore,3,29,Male,No,2,0
+Bachelors,2012,Bangalore,3,28,Male,No,2,0
+Bachelors,2014,Bangalore,1,30,Male,Yes,2,1
+Bachelors,2013,Bangalore,3,27,Male,No,5,1
+Masters,2017,Pune,2,30,Male,No,2,0
+Bachelors,2012,Bangalore,3,30,Male,No,2,0
+Masters,2017,New Delhi,2,26,Male,No,4,0
+Bachelors,2014,Pune,2,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,29,Female,No,1,1
+Bachelors,2015,Pune,3,29,Female,No,2,1
+Bachelors,2013,Bangalore,3,28,Female,No,1,0
+Masters,2016,Bangalore,3,29,Male,No,1,0
+Masters,2016,New Delhi,3,26,Female,No,4,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2016,Pune,3,26,Male,No,4,0
+Masters,2015,New Delhi,1,27,Male,Yes,5,1
+Bachelors,2012,Bangalore,3,28,Male,No,1,1
+Masters,2017,Pune,2,27,Male,No,5,0
+Masters,2015,Pune,2,29,Female,No,2,0
+Bachelors,2012,Bangalore,3,28,Male,No,2,0
+Bachelors,2012,Pune,2,28,Male,No,2,1
+Bachelors,2015,Pune,2,27,Female,No,5,1
+Masters,2017,Pune,2,29,Female,No,1,0
+Bachelors,2014,Pune,2,28,Female,No,1,1
+Masters,2012,New Delhi,1,29,Female,No,1,0
+Bachelors,2015,Bangalore,3,30,Female,No,2,0
+Masters,2017,Bangalore,2,26,Male,Yes,4,1
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,1,30,Male,No,1,0
+Masters,2017,New Delhi,3,30,Male,Yes,2,0
+Bachelors,2015,Pune,2,27,Female,Yes,5,1
+Bachelors,2016,Bangalore,3,28,Male,No,2,1
+Bachelors,2017,Pune,2,26,Female,No,4,1
+Masters,2015,New Delhi,2,26,Female,No,4,0
+Bachelors,2015,Pune,2,26,Female,No,4,1
+PHD,2013,New Delhi,3,27,Female,Yes,5,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,1
+Bachelors,2013,New Delhi,3,29,Female,No,1,0
+Masters,2017,Pune,3,29,Male,No,2,0
+Bachelors,2016,Pune,3,28,Male,No,2,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,29,Male,No,1,0
+Bachelors,2016,Pune,3,29,Male,No,2,0
+Masters,2016,New Delhi,3,26,Male,No,4,0
+Bachelors,2015,Bangalore,3,30,Female,No,1,1
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,27,Female,No,5,0
+Bachelors,2016,Bangalore,3,29,Male,No,2,0
+Bachelors,2016,Bangalore,3,29,Male,No,1,0
+Masters,2014,New Delhi,3,29,Male,No,1,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,1,27,Female,No,5,0
+Bachelors,2015,New Delhi,3,26,Female,No,4,0
+Bachelors,2015,Pune,1,28,Female,No,2,1
+Bachelors,2015,Pune,2,28,Female,No,1,1
+Bachelors,2018,Pune,2,28,Female,No,2,1
+Bachelors,2015,Pune,3,28,Female,Yes,1,1
+Bachelors,2015,Pune,3,29,Male,No,2,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2014,Pune,2,27,Female,No,5,1
+Bachelors,2014,Bangalore,3,27,Male,No,5,1
+Bachelors,2016,Bangalore,3,30,Male,Yes,1,0
+PHD,2015,New Delhi,3,28,Male,No,2,1
+Bachelors,2014,Pune,3,29,Male,No,2,0
+Bachelors,2015,Bangalore,3,29,Male,No,1,0
+Bachelors,2013,Pune,3,30,Male,No,2,0
+Bachelors,2013,Bangalore,3,28,Male,Yes,1,0
+Bachelors,2015,Pune,2,29,Female,No,2,1
+Bachelors,2017,Bangalore,3,30,Male,No,1,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Masters,2017,New Delhi,2,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,29,Male,No,1,1
+Masters,2012,New Delhi,1,30,Female,No,2,1
+Masters,2016,New Delhi,3,28,Female,No,2,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2012,Bangalore,3,28,Female,No,1,0
+Bachelors,2018,Pune,3,27,Male,No,5,1
+Bachelors,2014,Bangalore,3,29,Female,No,2,0
+PHD,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,29,Male,No,2,0
+Bachelors,2014,Bangalore,3,28,Male,No,2,0
+Bachelors,2014,Bangalore,3,26,Female,No,4,0
+Bachelors,2012,Bangalore,3,28,Male,No,2,0
+Masters,2018,Bangalore,3,28,Female,No,2,1
+Bachelors,2017,Bangalore,3,28,Female,No,1,0
+Bachelors,2015,Bangalore,3,28,Male,No,1,0
+Bachelors,2014,New Delhi,3,29,Female,No,1,0
+Masters,2017,New Delhi,3,28,Male,No,2,0
+Masters,2017,New Delhi,3,29,Male,No,1,0
+Bachelors,2014,Pune,2,29,Male,No,2,1
+Masters,2013,New Delhi,3,26,Male,No,4,1
+Bachelors,2014,Bangalore,3,30,Male,No,1,0
+Bachelors,2013,New Delhi,3,26,Female,No,4,0
+Bachelors,2014,Bangalore,1,29,Male,No,2,0
+Masters,2016,Pune,3,29,Male,No,2,0
+PHD,2016,Pune,1,28,Male,No,2,0
+PHD,2015,Bangalore,3,29,Male,No,2,0
+Bachelors,2014,Bangalore,3,28,Male,No,1,0
+Bachelors,2015,Pune,2,26,Female,Yes,4,1
+Bachelors,2015,Bangalore,3,28,Female,No,1,0
+Bachelors,2015,Pune,3,28,Male,Yes,2,0
+Bachelors,2016,New Delhi,3,26,Female,No,4,0
+Bachelors,2014,Bangalore,3,29,Male,No,1,1
+Bachelors,2013,Bangalore,2,30,Female,No,1,1
+Bachelors,2015,Bangalore,3,29,Male,Yes,1,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+PHD,2017,New Delhi,3,29,Male,No,1,0
+Masters,2017,New Delhi,3,29,Male,No,2,0
+Bachelors,2015,Pune,2,30,Female,Yes,1,1
+Bachelors,2012,New Delhi,3,26,Female,No,4,0
+Bachelors,2013,Pune,3,30,Male,No,1,0
+Bachelors,2012,Bangalore,3,30,Female,No,1,1
+Bachelors,2015,New Delhi,3,26,Female,No,4,0
+Bachelors,2015,Pune,3,28,Female,Yes,2,1
+Bachelors,2014,Bangalore,3,29,Male,No,1,0
+Bachelors,2013,Pune,2,28,Female,No,1,1
+Bachelors,2016,Bangalore,3,28,Female,No,1,0
+Masters,2018,New Delhi,3,30,Female,No,2,1
+Bachelors,2018,Pune,3,29,Male,Yes,1,1
+Bachelors,2016,Bangalore,3,30,Female,Yes,2,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Masters,2017,Pune,2,27,Male,Yes,5,1
+Masters,2017,Pune,2,26,Female,No,4,1
+Masters,2017,New Delhi,3,26,Male,No,4,1
+Bachelors,2017,Pune,2,30,Female,No,2,1
+Bachelors,2012,Bangalore,3,28,Male,No,1,0
+Bachelors,2014,Bangalore,3,28,Male,No,2,0
+PHD,2015,Bangalore,3,29,Female,No,1,0
+Masters,2015,New Delhi,3,26,Male,No,4,1
+Bachelors,2017,Pune,3,30,Male,No,2,0
+Bachelors,2014,New Delhi,3,28,Female,No,1,0
+Bachelors,2013,Bangalore,1,30,Male,No,1,0
+Bachelors,2016,Bangalore,3,27,Female,No,5,1
+Bachelors,2014,Pune,1,28,Male,No,1,0
+Bachelors,2015,Bangalore,3,30,Male,No,1,0
+Bachelors,2013,New Delhi,3,27,Male,No,5,0
+Bachelors,2017,Pune,2,27,Male,No,5,0
+Masters,2017,New Delhi,2,28,Male,No,1,1
+Masters,2017,New Delhi,2,27,Male,No,5,1
+Masters,2014,New Delhi,3,27,Male,No,5,0
+PHD,2014,New Delhi,2,27,Female,No,5,0
+Bachelors,2015,Bangalore,3,29,Male,No,2,0
+Bachelors,2012,Pune,3,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,30,Male,No,2,0
+Bachelors,2014,Bangalore,1,27,Female,No,5,0
+Bachelors,2014,Pune,1,26,Male,No,4,0
+Bachelors,2012,Bangalore,3,29,Male,Yes,2,0
+Bachelors,2012,New Delhi,3,30,Male,No,1,0
+Bachelors,2015,Bangalore,3,27,Female,No,5,0
+Masters,2017,New Delhi,2,30,Female,No,2,0
+Masters,2018,New Delhi,3,29,Male,No,2,1
+Bachelors,2015,Bangalore,3,28,Male,No,2,0
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Masters,2016,New Delhi,3,27,Male,Yes,5,1
+Bachelors,2014,Pune,1,26,Female,No,4,1
+Bachelors,2017,Pune,3,27,Male,Yes,5,0
+PHD,2013,New Delhi,3,30,Male,No,1,0
+Masters,2018,Bangalore,3,26,Male,No,4,1
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,New Delhi,3,26,Female,No,4,0
+Bachelors,2016,Pune,3,29,Male,No,2,0
+Bachelors,2018,Bangalore,3,29,Female,Yes,2,1
+Bachelors,2016,Bangalore,3,28,Male,No,1,0
+Masters,2012,Pune,3,30,Male,No,1,0
+Bachelors,2014,Bangalore,3,30,Female,No,2,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,1
+Bachelors,2014,Bangalore,3,29,Female,No,1,0
+Bachelors,2013,Pune,3,28,Male,No,2,0
+Bachelors,2014,Pune,3,29,Male,No,2,0
+Bachelors,2012,Bangalore,1,30,Female,No,2,0
+Bachelors,2018,Pune,3,28,Male,No,2,1
+Bachelors,2012,Bangalore,3,30,Female,Yes,2,0
+Masters,2017,New Delhi,2,30,Male,No,1,0
+Bachelors,2014,New Delhi,3,27,Female,No,5,0
+Masters,2014,New Delhi,3,29,Male,No,2,0
+Bachelors,2016,Bangalore,3,29,Male,No,2,0
+Bachelors,2014,Pune,2,28,Female,No,2,1
+Bachelors,2017,New Delhi,3,26,Male,No,4,0
+Bachelors,2018,Pune,3,28,Male,No,1,1
+Bachelors,2016,Pune,3,29,Male,No,1,0
+Bachelors,2015,Pune,3,26,Female,Yes,4,1
+Masters,2017,Bangalore,3,27,Male,No,5,1
+Masters,2017,New Delhi,2,26,Male,No,4,0
+Masters,2013,New Delhi,3,26,Female,No,4,1
+Bachelors,2017,Bangalore,3,29,Male,No,1,0
+Masters,2013,New Delhi,3,27,Female,No,5,0
+Bachelors,2012,Pune,2,30,Female,No,2,1
+Bachelors,2013,New Delhi,3,26,Male,No,4,0
+Bachelors,2015,Pune,2,28,Female,No,1,1
+Bachelors,2013,New Delhi,3,27,Male,No,5,0
+Bachelors,2015,Pune,2,29,Female,Yes,2,1
+Bachelors,2012,Bangalore,1,27,Female,No,5,0
+Bachelors,2012,Bangalore,3,28,Male,No,2,0
+Bachelors,2015,New Delhi,3,26,Male,No,4,0
+Bachelors,2017,New Delhi,3,28,Female,No,1,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Masters,2014,Bangalore,3,28,Male,No,1,1
+Bachelors,2015,Bangalore,3,29,Male,No,1,0
+Bachelors,2017,New Delhi,3,27,Female,No,5,0
+Bachelors,2012,Bangalore,3,27,Male,Yes,5,0
+Masters,2017,New Delhi,2,30,Male,No,2,0
+Bachelors,2015,Bangalore,3,28,Female,No,2,0
+Masters,2017,Bangalore,1,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,27,Male,Yes,5,1
+Masters,2017,Pune,2,30,Male,No,1,0
+Bachelors,2013,Pune,3,29,Male,No,2,0
+Bachelors,2013,Pune,3,29,Male,No,2,0
+Bachelors,2012,Pune,3,27,Male,Yes,5,0
+Bachelors,2015,Pune,3,30,Female,No,1,1
+Bachelors,2015,Pune,2,29,Female,No,2,1
+Masters,2018,Pune,3,26,Male,No,4,1
+Masters,2013,Bangalore,2,29,Female,No,2,1
+Bachelors,2014,Bangalore,1,28,Male,No,2,1
+Bachelors,2015,Bangalore,3,30,Male,No,1,0
+Bachelors,2015,Pune,2,27,Female,No,5,1
+Bachelors,2014,Bangalore,3,28,Female,Yes,1,0
+Masters,2015,New Delhi,3,27,Male,No,5,0
+Masters,2017,New Delhi,2,26,Male,No,4,1
+Bachelors,2018,Bangalore,3,28,Male,No,1,1
+Bachelors,2015,New Delhi,3,28,Female,No,2,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2013,Pune,1,26,Female,No,4,1
+Masters,2017,New Delhi,2,30,Male,Yes,2,0
+Bachelors,2015,Bangalore,3,28,Female,No,1,0
+Bachelors,2013,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,1
+Bachelors,2018,Bangalore,3,28,Male,No,2,1
+Masters,2017,New Delhi,2,28,Male,No,2,0
+Bachelors,2015,Bangalore,3,29,Male,No,2,0
+Bachelors,2012,New Delhi,3,30,Male,No,1,1
+Masters,2016,Pune,3,30,Male,No,1,0
+Bachelors,2014,Pune,3,30,Male,No,1,0
+Bachelors,2018,Bangalore,3,26,Male,No,4,1
+Masters,2017,Bangalore,3,26,Male,No,4,1
+Bachelors,2012,New Delhi,3,27,Female,No,5,0
+Bachelors,2018,Bangalore,3,26,Female,Yes,4,1
+PHD,2014,Bangalore,3,27,Male,No,5,0
+Masters,2017,New Delhi,2,26,Male,Yes,4,1
+Bachelors,2013,Bangalore,3,30,Female,No,1,1
+Bachelors,2012,Bangalore,3,30,Female,No,2,0
+Masters,2018,New Delhi,3,26,Male,Yes,4,1
+Bachelors,2013,Bangalore,1,28,Female,No,1,0
+Bachelors,2017,Bangalore,3,30,Male,No,1,0
+Masters,2017,Pune,2,30,Female,No,2,1
+PHD,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2016,New Delhi,3,28,Female,No,2,0
+Bachelors,2015,Pune,2,29,Female,No,1,1
+Bachelors,2013,Bangalore,3,27,Female,No,5,0
+Masters,2014,Pune,3,27,Male,No,5,0
+Masters,2017,New Delhi,2,26,Female,Yes,4,1
+Masters,2017,New Delhi,2,30,Female,No,1,0
+Masters,2018,New Delhi,3,27,Female,No,5,1
+Bachelors,2017,Pune,2,29,Male,No,1,0
+Masters,2014,New Delhi,1,29,Male,No,1,0
+Bachelors,2015,Pune,2,30,Female,No,2,1
+Bachelors,2014,Bangalore,3,30,Male,No,2,1
+Masters,2018,New Delhi,1,30,Female,No,2,0
+Bachelors,2017,Bangalore,3,29,Male,No,1,0
+Bachelors,2016,Pune,3,28,Male,No,2,0
+Bachelors,2018,Bangalore,3,26,Female,No,4,1
+Bachelors,2014,Bangalore,1,28,Female,No,2,0
+Masters,2017,New Delhi,2,29,Female,No,2,0
+Masters,2013,New Delhi,3,26,Male,No,4,1
+Bachelors,2017,New Delhi,2,28,Female,No,1,0
+Bachelors,2016,Bangalore,3,30,Female,No,1,0
+PHD,2015,Pune,3,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,29,Male,No,2,0
+Bachelors,2014,Pune,2,28,Female,No,2,1
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Masters,2017,New Delhi,2,30,Female,Yes,2,0
+PHD,2013,New Delhi,3,30,Female,No,2,0
+Bachelors,2015,Bangalore,3,29,Male,No,2,0
+Bachelors,2017,Bangalore,3,28,Male,No,2,0
+Bachelors,2015,Bangalore,3,29,Male,No,2,1
+Bachelors,2015,Pune,1,26,Female,No,4,1
+Bachelors,2013,Bangalore,3,28,Male,No,1,0
+Bachelors,2015,Pune,2,29,Female,No,2,1
+Bachelors,2013,Bangalore,3,26,Male,Yes,4,0
+Masters,2014,Pune,3,30,Male,No,2,0
+Masters,2017,Pune,2,30,Male,Yes,2,0
+Bachelors,2017,Pune,3,27,Male,No,5,0
+Bachelors,2014,New Delhi,3,28,Female,Yes,2,0
+Bachelors,2014,New Delhi,3,27,Female,No,5,0
+Bachelors,2015,Pune,2,29,Female,Yes,1,1
+Bachelors,2013,Pune,3,26,Male,No,4,0
+Bachelors,2014,New Delhi,3,30,Male,No,1,0
+Bachelors,2013,Pune,2,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Masters,2017,New Delhi,2,28,Female,No,2,0
+Masters,2017,New Delhi,2,27,Male,No,5,1
+Bachelors,2017,Pune,2,29,Female,No,1,1
+Masters,2017,New Delhi,2,28,Female,No,1,1
+Bachelors,2017,New Delhi,2,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,29,Female,No,1,1
+Bachelors,2012,Bangalore,3,28,Male,No,1,0
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,28,Female,No,1,0
+Masters,2015,Pune,2,30,Female,No,2,1
+Masters,2017,New Delhi,2,28,Male,No,2,0
+Masters,2015,Pune,2,29,Female,No,1,0
+Masters,2015,Bangalore,3,26,Male,No,4,1
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,29,Female,No,1,0
+Bachelors,2017,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2014,New Delhi,3,29,Female,No,2,0
+Bachelors,2017,New Delhi,3,27,Female,No,5,0
+Masters,2017,Pune,2,28,Female,No,2,0
+Masters,2013,New Delhi,3,27,Female,No,5,1
+Masters,2017,New Delhi,3,27,Male,Yes,5,1
+Bachelors,2013,Bangalore,3,30,Male,No,2,0
+Bachelors,2015,Pune,2,27,Female,Yes,5,1
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Bangalore,2,27,Female,No,5,1
+Bachelors,2015,Bangalore,3,30,Male,No,2,1
+Masters,2017,Bangalore,2,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,30,Male,No,2,1
+Bachelors,2016,Pune,2,30,Female,No,2,1
+Masters,2016,Pune,1,27,Female,No,5,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Pune,3,29,Female,No,2,1
+Bachelors,2013,New Delhi,3,26,Male,No,4,0
+Bachelors,2015,Pune,2,29,Female,No,2,1
+Bachelors,2013,Pune,3,28,Male,No,2,0
+Bachelors,2013,Pune,2,27,Male,No,5,1
+Masters,2014,New Delhi,3,28,Male,No,1,1
+Bachelors,2016,New Delhi,3,27,Female,No,5,1
+Bachelors,2016,New Delhi,3,29,Female,Yes,2,0
+Masters,2018,New Delhi,1,26,Female,No,4,1
+Bachelors,2015,Bangalore,3,27,Female,No,5,0
+Bachelors,2013,Pune,2,27,Female,No,5,1
+Bachelors,2014,New Delhi,3,28,Female,No,2,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,29,Female,No,1,0
+Bachelors,2012,Bangalore,3,29,Female,No,1,0
+Bachelors,2018,Bangalore,3,29,Male,Yes,2,1
+Bachelors,2012,Pune,3,30,Male,No,1,0
+Bachelors,2013,Bangalore,3,30,Male,Yes,1,1
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,New Delhi,3,29,Female,Yes,1,0
+Bachelors,2014,Bangalore,3,30,Female,No,1,0
+Bachelors,2014,Pune,1,28,Male,No,2,0
+Bachelors,2015,Pune,3,27,Female,No,5,0
+Bachelors,2016,Bangalore,3,30,Male,No,1,1
+Bachelors,2016,Pune,3,26,Female,No,4,1
+Bachelors,2018,New Delhi,3,27,Female,Yes,5,1
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Masters,2017,New Delhi,2,27,Male,No,5,1
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Pune,3,26,Female,No,4,1
+Bachelors,2012,Pune,1,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+PHD,2017,Bangalore,3,28,Female,No,1,0
+Bachelors,2015,Pune,3,29,Female,No,1,1
+Masters,2014,New Delhi,3,30,Male,Yes,2,0
+Bachelors,2013,Pune,3,26,Male,No,4,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Pune,3,28,Male,No,1,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,New Delhi,3,26,Male,No,4,0
+Masters,2012,New Delhi,3,30,Male,No,2,0
+PHD,2013,New Delhi,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,30,Male,Yes,1,1
+Bachelors,2012,Bangalore,3,26,Female,No,4,0
+Masters,2017,New Delhi,3,29,Female,No,2,0
+Bachelors,2014,Bangalore,3,29,Male,No,2,0
+Bachelors,2017,New Delhi,3,28,Male,No,1,0
+Bachelors,2015,Pune,2,26,Female,No,4,1
+Bachelors,2018,Bangalore,3,27,Female,No,5,1
+Bachelors,2014,Bangalore,1,28,Male,No,1,0
+Bachelors,2016,Bangalore,3,28,Male,No,1,0
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2012,Pune,3,26,Male,No,4,0
+Bachelors,2015,Bangalore,3,28,Male,No,2,0
+Bachelors,2014,Bangalore,3,28,Male,No,1,0
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+PHD,2012,New Delhi,1,29,Female,No,2,0
+Bachelors,2013,Bangalore,3,30,Female,No,2,1
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Pune,3,28,Male,No,1,0
+Masters,2013,New Delhi,2,26,Male,No,4,1
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2013,Pune,3,27,Female,No,5,0
+PHD,2015,New Delhi,3,28,Male,No,2,0
+Masters,2017,Pune,2,28,Male,No,2,0
+Bachelors,2014,Pune,3,28,Male,No,4,0
+Bachelors,2016,Bangalore,3,29,Female,No,1,1
+Bachelors,2017,Bangalore,3,26,Female,No,4,1
+Bachelors,2015,Bangalore,3,30,Male,No,0,0
+Masters,2012,New Delhi,3,30,Male,No,2,0
+Bachelors,2012,Bangalore,1,30,Female,No,0,0
+Bachelors,2014,New Delhi,3,27,Female,No,5,0
+Bachelors,2017,New Delhi,2,28,Female,No,0,0
+Bachelors,2012,Pune,3,26,Male,No,4,0
+Bachelors,2015,Pune,3,29,Female,No,3,1
+Masters,2017,Pune,2,30,Male,No,0,1
+Bachelors,2013,New Delhi,3,26,Male,No,4,0
+Masters,2014,Pune,3,30,Male,No,0,1
+Bachelors,2013,Pune,3,29,Male,Yes,2,0
+Bachelors,2017,Bangalore,3,28,Male,No,3,0
+Masters,2018,New Delhi,3,27,Male,Yes,5,1
+Masters,2017,New Delhi,2,26,Female,Yes,4,1
+Bachelors,2012,Bangalore,3,30,Female,No,0,1
+Bachelors,2012,Bangalore,3,29,Female,No,4,0
+Bachelors,2014,Bangalore,3,29,Male,No,1,0
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,28,Male,Yes,4,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2016,Pune,3,29,Male,No,5,0
+Bachelors,2014,Bangalore,3,29,Male,No,0,0
+Masters,2013,Bangalore,3,30,Male,No,5,1
+Bachelors,2017,New Delhi,3,30,Female,Yes,3,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+PHD,2015,Pune,2,30,Female,No,4,0
+Masters,2014,Bangalore,3,30,Male,No,4,1
+Masters,2017,New Delhi,2,27,Male,No,5,1
+Bachelors,2013,Pune,3,30,Male,No,0,0
+Masters,2017,Pune,2,30,Male,No,0,0
+Masters,2017,New Delhi,2,29,Female,No,2,0
+Masters,2017,New Delhi,2,29,Male,No,2,0
+Bachelors,2014,Bangalore,1,27,Male,No,5,1
+Bachelors,2012,Bangalore,3,27,Female,No,5,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Masters,2018,New Delhi,3,30,Female,No,4,1
+Bachelors,2015,Bangalore,3,29,Female,No,1,0
+Bachelors,2014,Pune,3,26,Female,No,4,1
+Masters,2016,Pune,3,28,Male,No,2,0
+Bachelors,2015,New Delhi,3,28,Female,No,4,0
+Bachelors,2015,Bangalore,3,30,Male,No,0,0
+Bachelors,2014,Bangalore,3,28,Female,No,3,0
+Bachelors,2017,Bangalore,3,28,Male,No,4,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Bangalore,3,28,Female,No,0,0
+Bachelors,2015,Pune,2,28,Female,No,2,1
+Masters,2013,Pune,3,27,Female,Yes,5,1
+Bachelors,2016,Bangalore,3,27,Male,No,5,1
+Bachelors,2012,Pune,3,29,Male,No,1,0
+Bachelors,2015,Pune,2,28,Female,No,0,1
+Bachelors,2018,Pune,3,30,Male,Yes,3,1
+Bachelors,2016,Bangalore,3,29,Male,No,5,0
+Masters,2013,New Delhi,2,27,Female,No,5,1
+Masters,2017,New Delhi,2,30,Male,No,2,0
+Bachelors,2012,New Delhi,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,30,Male,No,2,1
+Bachelors,2017,New Delhi,2,29,Male,No,3,1
+Bachelors,2017,Pune,2,28,Male,No,3,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,29,Male,Yes,4,0
+Bachelors,2013,Bangalore,3,30,Male,No,5,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Pune,2,26,Female,No,4,1
+Bachelors,2012,Bangalore,3,29,Male,Yes,2,1
+Masters,2015,Bangalore,3,28,Male,No,0,1
+Bachelors,2014,New Delhi,3,29,Female,No,2,0
+Masters,2015,Pune,3,29,Female,No,4,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2013,Pune,3,27,Female,No,5,1
+Bachelors,2017,Bangalore,3,30,Male,No,1,1
+Masters,2014,Pune,3,30,Male,No,2,0
+Bachelors,2015,New Delhi,3,28,Female,No,4,0
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Bachelors,2014,Bangalore,3,28,Male,No,5,0
+Bachelors,2017,Bangalore,1,28,Female,No,0,1
+Bachelors,2016,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2013,Bangalore,3,28,Male,No,5,0
+Masters,2013,New Delhi,3,30,Male,No,2,1
+Masters,2013,New Delhi,1,29,Female,No,2,1
+Bachelors,2017,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Pune,3,28,Male,No,3,0
+Bachelors,2013,Bangalore,3,29,Male,No,2,0
+Masters,2017,New Delhi,2,28,Female,No,2,0
+Masters,2017,New Delhi,2,30,Female,No,2,0
+PHD,2013,New Delhi,3,27,Female,No,5,0
+Bachelors,2016,Pune,3,26,Male,No,4,0
+Bachelors,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2016,Bangalore,3,28,Female,No,1,1
+Bachelors,2017,Pune,2,27,Female,No,5,1
+Bachelors,2012,Bangalore,3,27,Female,No,5,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,1
+Bachelors,2016,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2015,Bangalore,3,27,Female,No,5,0
+Bachelors,2015,Pune,3,29,Male,No,1,0
+Bachelors,2018,Bangalore,3,26,Male,No,4,1
+Bachelors,2012,Bangalore,3,26,Female,No,4,0
+Bachelors,2017,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2015,Pune,3,30,Female,No,0,1
+Bachelors,2017,Bangalore,3,30,Male,No,3,0
+PHD,2012,New Delhi,3,29,Male,No,5,0
+Bachelors,2016,Pune,3,29,Male,No,5,0
+Bachelors,2014,Bangalore,3,26,Female,Yes,4,0
+PHD,2014,New Delhi,3,28,Female,No,0,0
+Bachelors,2018,Bangalore,3,28,Male,No,1,1
+Bachelors,2013,New Delhi,3,27,Female,Yes,5,0
+Bachelors,2013,Bangalore,3,28,Male,No,2,0
+Bachelors,2018,Bangalore,3,29,Male,No,0,1
+Bachelors,2016,Bangalore,3,29,Male,No,3,0
+Bachelors,2018,Pune,3,30,Female,No,2,1
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Pune,3,29,Male,No,3,0
+Bachelors,2013,Pune,3,30,Male,No,4,0
+Masters,2015,New Delhi,3,29,Male,No,2,0
+Bachelors,2018,Pune,3,27,Male,No,5,1
+Bachelors,2016,Bangalore,3,28,Male,No,2,0
+Bachelors,2015,Bangalore,3,29,Male,No,1,0
+Bachelors,2016,Bangalore,3,30,Male,No,0,0
+Bachelors,2016,Bangalore,3,28,Female,No,1,0
+Bachelors,2017,New Delhi,3,26,Female,No,4,0
+Bachelors,2014,Pune,2,29,Female,No,1,1
+PHD,2013,New Delhi,3,30,Female,No,2,0
+Bachelors,2016,Bangalore,3,28,Male,Yes,3,0
+Bachelors,2015,Bangalore,3,28,Male,No,1,0
+Bachelors,2016,Pune,3,28,Male,No,5,0
+Bachelors,2017,Pune,2,28,Female,No,1,1
+Bachelors,2015,Bangalore,3,30,Male,No,4,0
+Masters,2012,New Delhi,3,27,Male,No,5,0
+Masters,2017,New Delhi,3,29,Female,Yes,2,0
+Bachelors,2018,New Delhi,3,29,Female,No,2,1
+Bachelors,2018,Bangalore,3,29,Male,No,0,1
+Bachelors,2012,Bangalore,3,28,Female,No,0,0
+Bachelors,2015,Pune,2,28,Female,No,0,1
+Masters,2017,New Delhi,2,27,Female,No,5,1
+Bachelors,2018,Pune,3,28,Female,No,5,1
+Bachelors,2016,Pune,3,28,Male,No,1,0
+Bachelors,2014,Bangalore,1,26,Male,No,4,1
+Bachelors,2014,New Delhi,2,29,Female,No,3,1
+Masters,2014,Pune,3,26,Male,No,4,1
+Bachelors,2017,Pune,3,27,Male,No,5,0
+Bachelors,2013,Pune,3,30,Male,No,4,1
+Bachelors,2015,Bangalore,3,30,Male,No,3,0
+Bachelors,2012,Bangalore,3,29,Male,No,2,1
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Masters,2017,New Delhi,2,30,Female,No,2,1
+Bachelors,2012,Pune,3,29,Male,No,0,0
+Bachelors,2015,Pune,1,30,Female,No,0,1
+Bachelors,2017,Bangalore,3,28,Male,No,3,0
+Bachelors,2013,Bangalore,3,28,Male,No,5,0
+Bachelors,2017,Pune,2,30,Female,No,4,1
+Bachelors,2017,Pune,2,28,Male,No,5,0
+Bachelors,2014,New Delhi,3,27,Female,No,5,1
+Bachelors,2012,Bangalore,3,28,Female,No,2,0
+Bachelors,2013,Bangalore,3,29,Female,No,5,0
+Bachelors,2012,Bangalore,3,27,Female,No,5,1
+Bachelors,2017,Pune,2,28,Female,No,3,1
+Bachelors,2015,Bangalore,1,29,Male,No,4,0
+Bachelors,2013,Bangalore,2,30,Male,No,0,1
+PHD,2018,Bangalore,3,28,Male,No,2,1
+Bachelors,2015,Pune,3,28,Female,No,3,1
+Bachelors,2015,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,30,Female,No,3,1
+Bachelors,2012,Bangalore,3,29,Male,No,5,0
+Bachelors,2012,Bangalore,3,27,Female,No,5,0
+Bachelors,2015,Bangalore,3,26,Female,No,4,0
+Bachelors,2016,Pune,3,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,27,Female,No,5,0
+Bachelors,2013,Pune,3,28,Male,No,0,0
+Bachelors,2014,Pune,3,29,Male,No,1,0
+Bachelors,2017,New Delhi,2,27,Male,No,5,0
+Bachelors,2013,New Delhi,3,27,Female,No,5,0
+Bachelors,2017,Pune,3,30,Male,No,5,0
+Bachelors,2013,Pune,3,27,Male,No,5,0
+Bachelors,2012,New Delhi,3,30,Female,Yes,3,0
+Bachelors,2013,Pune,2,30,Male,No,1,1
+PHD,2015,New Delhi,3,27,Female,No,5,0
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2015,Pune,2,27,Female,Yes,5,1
+Masters,2017,New Delhi,2,29,Male,No,1,0
+Bachelors,2013,New Delhi,3,28,Female,No,3,0
+Masters,2012,Pune,3,29,Male,No,4,1
+Bachelors,2014,New Delhi,3,28,Female,No,3,0
+Bachelors,2018,Bangalore,3,27,Male,Yes,5,1
+Bachelors,2012,Bangalore,3,29,Male,No,1,0
+Bachelors,2017,Pune,2,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,30,Male,No,2,1
+Bachelors,2014,New Delhi,3,29,Male,No,4,0
+Bachelors,2015,Pune,2,26,Female,No,4,1
+Bachelors,2014,Bangalore,3,27,Female,No,5,0
+Masters,2013,New Delhi,2,26,Male,No,4,1
+Bachelors,2013,New Delhi,3,29,Female,No,2,0
+Bachelors,2016,Bangalore,2,30,Female,No,4,1
+Bachelors,2017,New Delhi,3,29,Female,No,0,0
+Bachelors,2018,Bangalore,3,28,Male,No,3,1
+Bachelors,2014,Bangalore,3,29,Male,No,4,0
+Masters,2017,New Delhi,2,30,Female,No,2,0
+Bachelors,2018,Bangalore,3,29,Male,Yes,2,1
+Bachelors,2017,New Delhi,2,28,Female,No,1,0
+Bachelors,2013,Bangalore,2,27,Female,No,5,1
+Bachelors,2015,Bangalore,3,30,Male,No,4,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Masters,2017,Bangalore,2,30,Male,No,3,0
+Masters,2017,New Delhi,2,29,Male,No,4,0
+Bachelors,2014,Bangalore,3,28,Male,No,3,0
+Masters,2017,New Delhi,3,27,Male,No,5,1
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,New Delhi,3,27,Male,No,5,0
+Bachelors,2016,Pune,3,30,Male,No,0,0
+Bachelors,2015,Bangalore,3,29,Female,No,0,0
+Bachelors,2015,Pune,2,27,Female,Yes,5,1
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Bachelors,2015,New Delhi,3,29,Male,No,1,0
+Bachelors,2017,Bangalore,3,30,Male,No,4,0
+PHD,2017,New Delhi,3,27,Male,No,5,0
+PHD,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,28,Male,Yes,1,1
+Bachelors,2013,Bangalore,3,29,Male,No,1,0
+Masters,2017,Pune,2,29,Female,Yes,2,1
+Bachelors,2015,Pune,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,27,Female,No,5,0
+Masters,2018,Pune,3,26,Male,No,4,1
+Bachelors,2012,New Delhi,1,27,Female,No,5,1
+Masters,2017,Pune,2,27,Male,Yes,5,1
+Bachelors,2015,Pune,1,28,Female,No,0,1
+Bachelors,2014,Bangalore,3,29,Male,No,4,1
+Bachelors,2017,New Delhi,3,29,Female,No,3,0
+PHD,2015,Pune,2,26,Female,No,4,0
+Bachelors,2017,Bangalore,3,30,Female,No,5,0
+Bachelors,2016,Pune,3,26,Male,No,4,0
+Masters,2013,Pune,3,26,Male,No,4,1
+Bachelors,2012,Pune,2,29,Female,No,2,1
+Bachelors,2018,Bangalore,3,30,Male,Yes,2,1
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2018,Bangalore,2,28,Female,No,3,1
+Bachelors,2012,Bangalore,3,28,Male,No,0,1
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,28,Female,Yes,0,0
+Masters,2014,New Delhi,3,28,Male,No,2,0
+Bachelors,2012,Bangalore,3,26,Female,No,4,0
+Bachelors,2015,Pune,3,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,28,Male,Yes,2,0
+Bachelors,2018,Pune,3,29,Male,Yes,3,1
+Bachelors,2014,New Delhi,3,29,Male,Yes,4,0
+Bachelors,2015,Bangalore,3,29,Male,No,1,0
+Masters,2018,Bangalore,3,27,Male,Yes,5,1
+Bachelors,2014,Bangalore,3,28,Male,No,5,0
+Masters,2017,Pune,2,27,Male,No,5,0
+Bachelors,2017,Pune,2,27,Male,No,5,0
+Bachelors,2014,Bangalore,3,28,Male,No,4,0
+Bachelors,2017,New Delhi,2,26,Male,No,4,0
+Bachelors,2017,Pune,3,29,Female,No,0,1
+Bachelors,2012,Bangalore,3,26,Female,No,4,0
+Bachelors,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2017,Pune,2,26,Female,No,4,1
+Bachelors,2014,Bangalore,3,30,Male,No,1,0
+Bachelors,2018,Bangalore,3,29,Male,No,2,1
+Masters,2013,Bangalore,3,30,Male,No,2,1
+Bachelors,2016,Bangalore,3,27,Female,No,5,0
+Bachelors,2016,New Delhi,3,26,Female,No,4,0
+Bachelors,2017,Bangalore,1,30,Male,No,1,0
+Bachelors,2015,New Delhi,3,30,Female,Yes,1,0
+Bachelors,2013,Pune,3,30,Male,No,0,0
+Bachelors,2015,Pune,3,27,Male,No,5,0
+Bachelors,2017,Pune,3,30,Female,No,1,1
+PHD,2018,New Delhi,3,30,Male,No,2,1
+Bachelors,2018,Bangalore,3,29,Male,Yes,1,1
+Bachelors,2013,Bangalore,3,30,Male,Yes,0,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,1
+Bachelors,2016,New Delhi,3,29,Female,Yes,2,0
+Bachelors,2013,Pune,3,28,Male,No,5,0
+Bachelors,2014,New Delhi,3,26,Male,No,4,0
+Bachelors,2015,Pune,2,30,Female,No,1,1
+Masters,2013,New Delhi,2,26,Male,No,4,1
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Masters,2012,Pune,3,27,Male,Yes,5,1
+Bachelors,2017,Bangalore,3,27,Female,No,5,0
+Bachelors,2013,Bangalore,3,30,Male,No,1,0
+Bachelors,2014,New Delhi,3,27,Male,No,5,0
+Masters,2013,Bangalore,3,30,Male,No,1,1
+Bachelors,2016,Bangalore,3,29,Male,No,2,1
+Bachelors,2016,Bangalore,3,28,Male,No,3,0
+Masters,2017,New Delhi,3,29,Female,No,2,0
+Bachelors,2014,New Delhi,3,26,Male,No,4,0
+Masters,2018,New Delhi,3,30,Male,No,2,1
+Masters,2014,Pune,3,27,Female,No,5,1
+Bachelors,2017,Pune,3,29,Male,No,0,0
+Masters,2016,New Delhi,3,30,Male,No,2,0
+Masters,2017,New Delhi,3,30,Male,No,3,1
+Bachelors,2013,Pune,2,30,Female,No,1,1
+Masters,2014,New Delhi,3,28,Female,No,3,0
+Bachelors,2013,Pune,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,1,30,Male,No,2,0
+Bachelors,2016,Bangalore,3,28,Male,Yes,3,0
+Bachelors,2013,Pune,1,30,Female,Yes,1,1
+Bachelors,2013,Bangalore,3,30,Female,No,5,0
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Pune,3,27,Male,No,5,0
+Masters,2012,New Delhi,3,26,Female,No,4,0
+Bachelors,2013,Pune,2,26,Male,Yes,4,0
+Bachelors,2018,Bangalore,3,27,Male,No,5,1
+PHD,2018,New Delhi,2,30,Female,No,4,1
+Bachelors,2017,Bangalore,3,29,Male,No,3,0
+Bachelors,2013,Bangalore,3,28,Male,No,1,0
+Bachelors,2012,Bangalore,3,28,Male,Yes,2,0
+Masters,2017,New Delhi,1,30,Male,No,2,0
+Bachelors,2017,New Delhi,2,26,Female,No,4,0
+Masters,2013,Bangalore,1,29,Female,No,2,1
+Bachelors,2012,Pune,3,29,Male,No,5,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,29,Male,No,4,0
+Bachelors,2014,Bangalore,3,29,Male,No,3,1
+Bachelors,2018,Bangalore,3,28,Male,No,0,1
+Bachelors,2012,Bangalore,3,27,Male,No,5,1
+Bachelors,2017,New Delhi,2,26,Male,No,4,0
+Bachelors,2014,Pune,2,29,Female,No,1,1
+Bachelors,2017,Bangalore,3,29,Male,No,4,0
+Bachelors,2015,Pune,2,28,Female,No,3,1
+Bachelors,2017,Bangalore,3,28,Male,No,5,0
+Bachelors,2017,Bangalore,3,29,Male,No,0,0
+Bachelors,2017,Bangalore,3,30,Male,No,2,0
+Bachelors,2017,New Delhi,2,26,Female,No,4,0
+Masters,2017,New Delhi,2,30,Female,No,2,0
+Bachelors,2015,Pune,2,29,Female,No,4,1
+Bachelors,2014,Pune,3,29,Female,No,1,1
+Bachelors,2012,Bangalore,3,28,Male,No,2,0
+Bachelors,2012,Bangalore,3,28,Female,No,4,0
+Bachelors,2017,Bangalore,3,29,Female,No,5,0
+Bachelors,2015,Bangalore,3,30,Male,Yes,3,0
+Masters,2012,Pune,3,26,Male,No,4,1
+Bachelors,2018,Bangalore,3,28,Male,No,5,1
+Bachelors,2017,New Delhi,3,30,Male,No,5,0
+Bachelors,2012,New Delhi,3,27,Female,No,5,0
+Bachelors,2017,New Delhi,3,26,Female,No,4,0
+Bachelors,2014,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2014,Bangalore,3,30,Male,No,0,0
+Bachelors,2014,New Delhi,3,30,Female,No,2,0
+Bachelors,2012,New Delhi,3,29,Female,No,5,0
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2015,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,Pune,2,29,Female,No,4,1
+Masters,2016,Pune,3,29,Male,No,4,1
+Bachelors,2017,Bangalore,3,26,Male,No,4,0
+Masters,2017,New Delhi,3,26,Female,No,4,0
+Masters,2012,New Delhi,3,29,Male,No,2,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2012,Pune,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,28,Female,No,2,1
+Bachelors,2013,New Delhi,3,30,Female,No,3,1
+Masters,2017,Pune,2,26,Female,No,4,1
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Masters,2017,New Delhi,2,28,Female,No,2,0
+Bachelors,2017,New Delhi,2,27,Male,No,5,0
+PHD,2018,Bangalore,3,27,Male,No,5,1
+Bachelors,2013,Bangalore,3,30,Female,No,1,0
+Masters,2013,New Delhi,3,30,Male,No,0,1
+Masters,2018,New Delhi,3,26,Female,No,4,1
+Masters,2015,New Delhi,3,30,Male,No,2,0
+Bachelors,2012,Bangalore,3,29,Male,No,4,0
+Bachelors,2018,Bangalore,3,27,Male,Yes,5,1
+Masters,2017,Pune,2,28,Male,No,5,0
+Bachelors,2016,Pune,2,29,Male,No,3,1
+Bachelors,2015,Pune,2,27,Female,Yes,5,1
+Bachelors,2014,Bangalore,3,29,Male,No,4,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2018,Pune,3,28,Male,No,5,1
+Bachelors,2012,Bangalore,3,28,Female,No,0,0
+Masters,2017,Pune,2,28,Male,No,2,0
+Masters,2015,Pune,2,27,Female,No,5,0
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Bachelors,2014,Pune,3,29,Female,No,4,1
+Masters,2016,New Delhi,3,30,Male,No,3,0
+Bachelors,2014,Pune,1,26,Female,No,4,1
+Bachelors,2012,Pune,2,27,Female,No,5,1
+Bachelors,2017,Pune,3,30,Male,No,0,0
+Bachelors,2013,Pune,3,27,Male,No,5,0
+Bachelors,2017,New Delhi,2,30,Male,No,4,0
+Bachelors,2017,New Delhi,2,28,Female,No,4,0
+PHD,2016,Bangalore,3,30,Female,No,5,0
+Bachelors,2018,Bangalore,3,28,Male,No,1,1
+Bachelors,2017,Pune,2,29,Male,No,3,0
+Bachelors,2017,New Delhi,2,30,Male,No,1,1
+Bachelors,2015,Bangalore,3,27,Male,No,5,0
+Bachelors,2013,Pune,3,30,Male,No,0,0
+Bachelors,2018,Bangalore,3,26,Male,Yes,4,1
+Bachelors,2015,New Delhi,3,28,Female,No,3,0
+Masters,2017,New Delhi,2,26,Female,Yes,4,1
+Bachelors,2016,Pune,2,30,Female,No,1,1
+Masters,2014,New Delhi,3,28,Male,No,0,0
+Bachelors,2015,Bangalore,3,28,Male,No,2,0
+Masters,2015,Pune,2,30,Female,No,1,0
+Masters,2017,New Delhi,2,27,Female,No,5,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Pune,3,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,30,Male,No,1,1
+Masters,2017,New Delhi,3,29,Male,No,2,0
+Bachelors,2012,Bangalore,3,30,Female,No,1,0
+Bachelors,2018,Bangalore,3,29,Male,No,3,1
+Masters,2018,Pune,3,29,Male,No,2,1
+Bachelors,2016,Bangalore,3,27,Female,No,5,0
+Bachelors,2017,New Delhi,2,28,Male,No,2,0
+Bachelors,2016,Bangalore,3,29,Female,No,0,1
+Bachelors,2016,New Delhi,1,29,Female,No,1,0
+Bachelors,2015,Pune,2,28,Female,No,0,1
+Bachelors,2012,Bangalore,3,29,Male,Yes,2,0
+PHD,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2018,Bangalore,3,29,Female,No,3,1
+Masters,2017,New Delhi,2,30,Male,No,2,0
+Masters,2016,New Delhi,3,29,Female,No,1,1
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Pune,3,28,Male,No,5,0
+Bachelors,2017,New Delhi,2,29,Female,No,5,0
+Bachelors,2014,Bangalore,3,30,Male,No,0,0
+Bachelors,2017,Bangalore,3,30,Male,No,0,0
+Bachelors,2014,Pune,3,28,Male,No,2,0
+Bachelors,2013,New Delhi,3,28,Female,No,1,0
+Bachelors,2016,New Delhi,3,26,Female,No,4,0
+Bachelors,2012,New Delhi,3,28,Female,No,0,0
+Bachelors,2017,Bangalore,3,29,Male,No,0,0
+Bachelors,2018,Bangalore,3,27,Male,No,5,1
+Masters,2017,New Delhi,2,26,Male,No,4,1
+Bachelors,2017,New Delhi,3,26,Female,No,4,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,1
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Pune,2,29,Female,No,0,1
+Bachelors,2013,Pune,2,28,Female,No,4,1
+Bachelors,2017,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Pune,2,28,Female,No,0,1
+Bachelors,2017,Bangalore,3,29,Male,No,1,0
+Bachelors,2013,Bangalore,3,29,Female,No,3,0
+Bachelors,2015,Bangalore,3,29,Male,No,5,0
+Bachelors,2017,New Delhi,3,30,Female,No,3,0
+Bachelors,2015,Pune,3,29,Male,No,0,0
+Bachelors,2013,Bangalore,3,27,Female,Yes,5,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,1
+Bachelors,2012,Bangalore,3,28,Male,No,2,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,29,Male,No,0,1
+Bachelors,2017,Bangalore,1,29,Female,No,5,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Masters,2017,Bangalore,2,27,Male,No,5,1
+Masters,2014,New Delhi,3,28,Female,No,2,0
+Bachelors,2012,New Delhi,3,27,Female,No,5,1
+Bachelors,2012,Bangalore,3,28,Male,No,0,0
+Masters,2017,Pune,2,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,New Delhi,3,27,Female,No,5,1
+Bachelors,2013,Bangalore,2,26,Female,No,4,1
+Bachelors,2012,Pune,2,27,Female,No,5,1
+Bachelors,2016,Pune,3,26,Female,No,4,1
+Bachelors,2017,New Delhi,2,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,28,Female,No,3,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Masters,2017,New Delhi,3,27,Male,No,5,0
+Bachelors,2013,Pune,2,30,Female,No,5,1
+Bachelors,2013,Pune,3,28,Male,No,0,0
+Bachelors,2012,Pune,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,28,Male,No,3,1
+Masters,2015,Pune,3,26,Male,No,4,1
+Bachelors,2017,New Delhi,2,26,Female,No,4,0
+Masters,2017,Bangalore,2,26,Male,No,4,1
+Bachelors,2014,Bangalore,3,30,Female,No,2,0
+Bachelors,2014,Bangalore,3,29,Female,No,2,0
+Bachelors,2017,Pune,3,26,Male,Yes,4,0
+Bachelors,2013,Bangalore,3,28,Male,No,0,0
+Bachelors,2018,Bangalore,3,29,Male,No,1,1
+Bachelors,2016,Bangalore,3,30,Female,No,3,0
+Bachelors,2017,Bangalore,3,30,Male,No,0,1
+PHD,2015,New Delhi,3,29,Male,No,4,0
+Bachelors,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Bachelors,2014,Bangalore,1,28,Female,No,5,0
+Bachelors,2014,Pune,3,30,Male,No,0,0
+Masters,2012,Bangalore,3,26,Female,No,4,1
+Bachelors,2013,New Delhi,2,26,Female,No,4,1
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2016,New Delhi,3,29,Female,No,0,0
+Bachelors,2015,Bangalore,3,27,Female,No,5,0
+Masters,2018,New Delhi,3,28,Female,No,2,1
+PHD,2015,New Delhi,2,27,Female,No,5,0
+Masters,2013,Pune,1,30,Male,No,1,0
+Bachelors,2012,Pune,3,26,Male,No,4,0
+Bachelors,2015,Pune,2,26,Female,Yes,4,1
+Bachelors,2018,New Delhi,3,30,Female,Yes,3,1
+PHD,2013,New Delhi,3,30,Male,No,5,0
+Bachelors,2013,Bangalore,3,28,Male,No,0,0
+Masters,2014,New Delhi,3,26,Male,Yes,4,1
+Bachelors,2017,Bangalore,3,29,Male,No,1,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2012,Pune,3,26,Male,No,4,0
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2015,Pune,3,29,Male,No,0,0
+Bachelors,2014,Bangalore,1,26,Male,No,4,0
+Bachelors,2018,Bangalore,3,36,Male,No,2,1
+Bachelors,2018,Bangalore,3,37,Male,No,4,1
+Bachelors,2015,Pune,3,35,Female,No,0,1
+Bachelors,2013,Pune,2,32,Female,No,4,1
+Bachelors,2013,Pune,1,39,Female,No,0,1
+Bachelors,2018,Pune,3,32,Male,No,1,1
+PHD,2012,New Delhi,3,37,Female,No,5,0
+Bachelors,2012,Pune,3,31,Male,No,4,0
+Bachelors,2018,Pune,3,31,Male,No,1,1
+Bachelors,2017,Bangalore,3,33,Male,No,2,0
+Masters,2017,Pune,2,37,Male,No,2,0
+Bachelors,2014,Pune,3,31,Male,Yes,1,0
+Masters,2017,Bangalore,3,40,Female,No,4,0
+Bachelors,2017,New Delhi,2,32,Male,No,0,0
+Bachelors,2016,Bangalore,3,41,Male,No,0,0
+Bachelors,2018,Bangalore,3,35,Female,Yes,5,1
+Bachelors,2014,Pune,3,34,Male,No,3,0
+Bachelors,2017,Bangalore,3,31,Male,No,0,0
+Masters,2017,Bangalore,3,41,Female,No,2,1
+Bachelors,2015,Pune,3,41,Male,No,5,0
+Bachelors,2016,Bangalore,3,37,Female,No,0,0
+Bachelors,2018,Bangalore,3,32,Female,No,3,1
+Bachelors,2015,Bangalore,3,37,Male,Yes,3,0
+Bachelors,2016,Bangalore,3,32,Male,No,1,0
+Masters,2017,New Delhi,3,36,Female,No,5,0
+Bachelors,2014,Bangalore,3,36,Male,No,3,0
+Bachelors,2015,Bangalore,3,36,Male,No,5,0
+Bachelors,2017,Bangalore,3,41,Male,Yes,3,0
+Bachelors,2015,Pune,3,39,Male,No,3,0
+Bachelors,2013,Pune,3,37,Male,No,0,0
+Bachelors,2013,Bangalore,3,32,Male,No,1,0
+Bachelors,2012,Bangalore,3,36,Male,No,2,0
+Bachelors,2013,Bangalore,3,36,Male,No,4,0
+Bachelors,2014,Bangalore,3,36,Male,No,1,0
+Bachelors,2018,Bangalore,3,32,Female,Yes,2,1
+Bachelors,2018,Bangalore,3,34,Male,No,3,1
+Bachelors,2018,Bangalore,3,37,Male,Yes,5,1
+Bachelors,2018,Pune,3,40,Male,Yes,3,1
+Bachelors,2014,Pune,2,36,Female,No,3,1
+Bachelors,2017,Pune,2,38,Female,No,0,0
+Masters,2017,New Delhi,2,31,Female,No,0,1
+Bachelors,2013,New Delhi,3,41,Female,No,4,0
+Masters,2012,Bangalore,2,32,Male,No,3,1
+Bachelors,2017,New Delhi,2,41,Female,No,3,0
+Bachelors,2013,Pune,3,40,Male,No,5,0
+Bachelors,2014,Bangalore,3,38,Female,No,2,1
+Masters,2017,New Delhi,2,36,Male,No,5,0
+Bachelors,2013,New Delhi,3,33,Female,No,1,0
+Bachelors,2014,Bangalore,3,39,Male,Yes,0,0
+Bachelors,2013,Bangalore,3,39,Male,No,0,0
+Bachelors,2014,Bangalore,3,33,Male,No,4,0
+Bachelors,2017,Pune,3,32,Male,No,5,0
+Bachelors,2014,Bangalore,3,35,Female,No,2,1
+Bachelors,2014,Bangalore,3,36,Male,No,5,0
+Bachelors,2018,Pune,2,39,Female,No,0,1
+Bachelors,2013,Bangalore,3,37,Female,No,5,0
+Masters,2017,New Delhi,2,35,Female,No,2,1
+Bachelors,2017,Bangalore,3,36,Male,No,5,0
+Masters,2013,New Delhi,3,41,Male,No,0,0
+Bachelors,2017,Bangalore,3,33,Male,No,2,0
+Bachelors,2018,Bangalore,3,38,Male,No,2,1
+Bachelors,2015,Bangalore,3,34,Male,No,5,0
+Bachelors,2012,Bangalore,3,34,Male,No,1,0
+Bachelors,2015,Pune,3,35,Male,Yes,5,0
+Bachelors,2012,Bangalore,3,39,Female,No,2,0
+Bachelors,2012,Bangalore,3,41,Male,No,3,0
+Bachelors,2018,Bangalore,3,34,Male,Yes,2,1
+Masters,2015,Pune,2,35,Female,No,1,0
+Bachelors,2012,Bangalore,3,33,Male,No,2,0
+Bachelors,2015,Bangalore,3,39,Male,No,3,0
+Masters,2017,New Delhi,2,35,Male,Yes,2,0
+Bachelors,2017,New Delhi,2,31,Female,No,0,0
+Bachelors,2016,Bangalore,3,34,Male,Yes,4,0
+Bachelors,2013,Bangalore,3,40,Female,Yes,5,0
+Bachelors,2016,New Delhi,3,31,Female,No,4,0
+Bachelors,2016,Pune,3,33,Male,No,3,0
+Bachelors,2013,Bangalore,3,32,Male,No,5,0
+Masters,2017,New Delhi,2,31,Male,No,4,1
+Bachelors,2014,Bangalore,3,39,Male,No,2,0
+Bachelors,2016,Bangalore,3,33,Male,No,1,1
+Bachelors,2014,Bangalore,3,40,Female,No,4,0
+Bachelors,2016,Bangalore,3,39,Male,No,0,1
+Bachelors,2017,Bangalore,3,35,Male,Yes,2,0
+Bachelors,2017,Bangalore,3,32,Male,No,1,0
+Bachelors,2015,Pune,2,34,Female,No,5,1
+Bachelors,2017,Bangalore,3,40,Female,No,4,0
+Masters,2017,Pune,3,33,Male,No,4,1
+Bachelors,2015,Pune,2,36,Female,No,0,1
+Masters,2018,Bangalore,3,39,Male,No,3,1
+Bachelors,2012,Bangalore,3,37,Female,No,5,1
+Bachelors,2018,Bangalore,3,36,Male,No,1,1
+Bachelors,2017,New Delhi,2,39,Male,No,2,0
+Bachelors,2015,Pune,2,35,Female,Yes,4,1
+Masters,2018,New Delhi,3,41,Male,No,2,1
+Bachelors,2012,Pune,3,31,Male,No,5,0
+Bachelors,2015,Pune,2,36,Female,Yes,0,1
+Bachelors,2016,Bangalore,3,32,Male,No,1,0
+Bachelors,2017,Bangalore,3,37,Male,No,2,1
+Bachelors,2015,Pune,2,39,Female,No,4,1
+Bachelors,2012,Pune,3,34,Male,No,2,0
+Bachelors,2012,Bangalore,3,35,Female,No,1,0
+Bachelors,2015,Bangalore,3,40,Female,No,2,0
+Bachelors,2016,Bangalore,3,39,Female,No,1,0
+Bachelors,2017,Bangalore,3,39,Female,No,1,0
+Bachelors,2015,Pune,3,41,Female,No,3,1
+Bachelors,2012,Pune,3,40,Male,No,2,0
+Bachelors,2012,Bangalore,1,36,Male,No,3,0
+Bachelors,2017,New Delhi,2,33,Female,No,2,0
+Masters,2014,New Delhi,3,33,Male,No,2,0
+Masters,2018,New Delhi,3,40,Male,No,2,1
+Bachelors,2015,Pune,2,34,Female,No,2,1
+Bachelors,2014,Bangalore,3,33,Female,No,1,0
+Masters,2015,New Delhi,1,34,Male,No,5,1
+Masters,2017,New Delhi,1,40,Male,No,5,0
+Bachelors,2014,Bangalore,3,32,Male,No,4,0
+Bachelors,2017,New Delhi,3,38,Male,No,2,0
+Bachelors,2015,Bangalore,3,38,Male,No,4,0
+Bachelors,2015,Bangalore,3,32,Male,No,2,0
+Bachelors,2013,Bangalore,3,31,Female,Yes,3,1
+Bachelors,2015,Bangalore,3,39,Female,No,0,0
+Masters,2017,Pune,2,41,Male,Yes,2,0
+Bachelors,2015,Pune,2,35,Female,Yes,2,1
+Bachelors,2016,Pune,3,39,Male,No,5,0
+Bachelors,2014,Bangalore,3,40,Female,No,0,0
+Bachelors,2016,Bangalore,3,41,Male,No,1,0
+Masters,2015,Pune,2,34,Female,No,1,0
+Bachelors,2016,Pune,2,37,Female,No,5,1
+Bachelors,2017,New Delhi,2,36,Male,No,2,0
+Bachelors,2015,Pune,3,37,Male,No,1,0
+Masters,2015,Pune,1,40,Female,No,1,0
+Bachelors,2018,New Delhi,3,39,Female,Yes,0,1
+Bachelors,2017,New Delhi,2,36,Female,No,5,0
+Bachelors,2015,Bangalore,2,32,Female,No,2,1
+PHD,2015,Pune,3,31,Female,No,1,0
+Bachelors,2012,Bangalore,3,31,Male,No,4,0
+Bachelors,2013,New Delhi,3,36,Female,No,5,0
+Bachelors,2014,Bangalore,3,35,Male,No,3,0
+Masters,2013,New Delhi,2,33,Female,No,2,1
+Bachelors,2014,Bangalore,3,39,Male,Yes,1,0
+Bachelors,2015,Pune,3,35,Female,No,1,1
+Bachelors,2013,Bangalore,3,38,Female,No,4,0
+Masters,2017,Bangalore,3,39,Female,No,4,1
+Bachelors,2012,Bangalore,3,41,Male,No,3,0
+Bachelors,2014,Pune,2,35,Male,No,2,1
+Bachelors,2016,Pune,3,31,Male,No,1,0
+Bachelors,2017,New Delhi,2,32,Female,No,4,1
+Bachelors,2016,New Delhi,3,34,Male,No,1,0
+Bachelors,2014,Bangalore,3,34,Male,Yes,3,0
+Masters,2014,New Delhi,3,36,Male,No,1,1
+Masters,2017,Bangalore,2,41,Male,No,4,0
+Masters,2017,Pune,2,39,Female,No,3,0
+Masters,2017,New Delhi,2,38,Male,No,5,0
+Bachelors,2012,Bangalore,3,37,Male,No,4,0
+Bachelors,2015,Bangalore,3,38,Male,No,3,1
+Bachelors,2014,Bangalore,3,37,Male,No,4,0
+Bachelors,2017,Bangalore,3,34,Male,No,5,0
+Bachelors,2014,Bangalore,1,39,Male,No,5,0
+Masters,2017,New Delhi,2,38,Female,No,2,1
+Masters,2017,New Delhi,3,33,Male,No,5,0
+Bachelors,2012,Bangalore,3,33,Female,No,5,0
+Bachelors,2012,Bangalore,3,34,Male,No,4,0
+Bachelors,2016,Pune,2,32,Female,No,0,1
+Bachelors,2012,Bangalore,3,33,Female,Yes,0,0
+Masters,2013,Pune,3,37,Male,No,2,0
+Masters,2015,New Delhi,3,37,Male,No,2,1
+Bachelors,2013,New Delhi,3,37,Male,No,2,0
+Bachelors,2017,Bangalore,3,40,Male,Yes,1,0
+Masters,2016,New Delhi,3,32,Male,No,1,0
+Bachelors,2016,Bangalore,3,36,Female,No,5,1
+Bachelors,2014,Bangalore,3,36,Male,No,4,0
+Bachelors,2014,Bangalore,3,36,Female,No,1,1
+Masters,2017,New Delhi,3,31,Male,No,1,1
+Bachelors,2015,Bangalore,3,38,Male,Yes,4,0
+Masters,2017,New Delhi,3,38,Male,No,2,0
+Bachelors,2012,Pune,3,39,Male,No,2,0
+Bachelors,2014,Bangalore,1,37,Male,No,5,0
+Bachelors,2015,Pune,2,36,Female,No,1,1
+Bachelors,2013,Bangalore,3,35,Male,No,2,1
+Bachelors,2013,Pune,3,40,Female,No,5,1
+Bachelors,2014,Pune,3,40,Male,No,5,0
+Bachelors,2017,Bangalore,3,35,Female,No,3,0
+Bachelors,2012,Bangalore,3,41,Female,No,5,0
+Bachelors,2015,Bangalore,3,32,Male,No,4,0
+Bachelors,2013,Bangalore,3,41,Male,No,2,0
+Bachelors,2016,New Delhi,3,40,Female,No,1,1
+Bachelors,2017,Pune,3,40,Male,No,3,0
+Bachelors,2017,Bangalore,3,34,Male,No,3,1
+Masters,2017,New Delhi,2,36,Male,Yes,2,0
+Bachelors,2017,New Delhi,3,33,Female,No,2,0
+Bachelors,2014,Pune,3,41,Male,No,2,0
+Bachelors,2014,Bangalore,3,40,Female,No,3,0
+Bachelors,2016,Bangalore,3,31,Male,No,1,1
+Masters,2015,Bangalore,3,32,Female,No,2,1
+Bachelors,2017,Pune,3,34,Female,No,1,1
+Bachelors,2016,New Delhi,3,32,Male,No,4,0
+Bachelors,2013,Bangalore,3,32,Female,No,4,0
+Bachelors,2014,Bangalore,3,38,Male,No,2,0
+Masters,2017,New Delhi,3,32,Male,No,1,1
+Bachelors,2015,New Delhi,3,40,Male,No,2,0
+Bachelors,2017,New Delhi,1,38,Female,No,1,1
+Bachelors,2017,Pune,3,37,Male,No,0,0
+PHD,2014,Bangalore,3,31,Male,No,1,0
+Bachelors,2014,Pune,3,34,Male,No,0,0
+Masters,2017,New Delhi,2,34,Female,No,2,1
+Bachelors,2013,Pune,2,37,Female,No,0,1
+Masters,2017,New Delhi,2,31,Male,No,1,0
+Bachelors,2017,Bangalore,3,35,Male,No,5,0
+PHD,2015,New Delhi,3,34,Female,No,4,0
+Bachelors,2012,Bangalore,1,32,Male,No,1,1
+Bachelors,2017,Pune,3,31,Male,Yes,0,0
+Bachelors,2015,Bangalore,3,36,Female,No,5,0
+Masters,2017,New Delhi,3,38,Female,No,2,0
+Bachelors,2015,Pune,3,34,Male,No,4,0
+Bachelors,2013,Bangalore,1,39,Female,No,1,1
+PHD,2013,Pune,3,35,Male,No,0,0
+Masters,2015,Pune,2,33,Male,No,4,1
+Masters,2014,Bangalore,3,35,Female,No,2,1
+Masters,2015,New Delhi,3,40,Male,No,2,0
+Bachelors,2015,Pune,2,32,Female,No,0,1
+Bachelors,2013,Bangalore,3,38,Male,No,1,0
+Bachelors,2012,Bangalore,3,32,Female,No,1,1
+Bachelors,2018,Bangalore,3,36,Male,No,3,1
+Bachelors,2012,Bangalore,3,35,Male,No,1,0
+Bachelors,2013,New Delhi,3,37,Female,No,0,0
+Bachelors,2015,Pune,2,35,Male,No,3,1
+Masters,2017,Pune,2,37,Female,No,1,0
+Masters,2017,Pune,2,39,Male,No,4,0
+Masters,2014,Pune,3,40,Male,No,4,1
+Bachelors,2012,Pune,2,41,Female,No,1,1
+Bachelors,2018,Pune,3,41,Male,Yes,0,1
+Masters,2017,Pune,2,39,Female,No,2,0
+Bachelors,2012,Bangalore,3,38,Female,No,5,0
+Bachelors,2013,Bangalore,3,33,Male,No,3,0
+Bachelors,2014,Bangalore,3,36,Female,No,3,0
+Bachelors,2017,Bangalore,3,41,Male,No,5,0
+PHD,2012,New Delhi,3,40,Female,No,5,0
+Bachelors,2013,Bangalore,3,31,Female,No,4,1
+Bachelors,2012,Bangalore,3,33,Female,No,1,0
+Bachelors,2015,Bangalore,3,39,Male,Yes,2,0
+Masters,2014,Pune,2,33,Female,No,5,0
+Bachelors,2015,Bangalore,3,35,Male,No,0,0
+Masters,2012,New Delhi,3,38,Male,No,2,0
+Bachelors,2016,Bangalore,3,36,Female,No,0,0
+Bachelors,2014,Pune,2,36,Female,No,2,1
+Bachelors,2015,Bangalore,1,35,Male,No,5,0
+Bachelors,2017,Pune,2,34,Female,No,5,1
+Bachelors,2015,Pune,2,41,Female,No,3,1
+Bachelors,2016,Pune,3,32,Female,No,3,1
+Bachelors,2017,Pune,2,41,Female,No,2,1
+Bachelors,2016,Bangalore,3,36,Male,No,0,0
+Bachelors,2017,Pune,2,39,Male,No,3,0
+Bachelors,2015,Bangalore,3,38,Male,Yes,2,0
+Bachelors,2014,Bangalore,3,34,Male,No,3,1
+Bachelors,2012,Bangalore,3,39,Female,No,5,0
+Bachelors,2017,Pune,3,36,Male,No,1,0
+Bachelors,2014,Bangalore,3,35,Male,No,1,0
+Masters,2018,Bangalore,3,31,Male,No,2,1
+Bachelors,2012,Bangalore,3,41,Female,No,4,0
+Bachelors,2017,Bangalore,3,35,Female,No,4,0
+Bachelors,2015,Bangalore,1,40,Male,No,2,0
+Bachelors,2018,Bangalore,3,33,Female,No,4,1
+Bachelors,2016,Bangalore,3,37,Female,No,0,0
+PHD,2018,Bangalore,3,36,Female,No,3,1
+Bachelors,2012,Bangalore,3,40,Male,No,0,0
+Bachelors,2017,New Delhi,2,36,Male,No,0,0
+Masters,2015,New Delhi,3,38,Female,No,0,0
+Bachelors,2014,New Delhi,2,31,Female,No,4,1
+Bachelors,2016,Pune,3,40,Male,No,4,0
+Bachelors,2017,Bangalore,3,37,Female,No,4,0
+Bachelors,2015,New Delhi,3,38,Female,No,0,0
+Masters,2017,New Delhi,2,35,Female,No,2,0
+PHD,2018,New Delhi,3,35,Female,No,0,1
+Bachelors,2012,Bangalore,3,38,Female,No,3,0
+Bachelors,2012,Pune,3,31,Female,No,5,0
+Masters,2016,New Delhi,3,33,Female,No,1,0
+Bachelors,2013,Pune,2,32,Female,No,1,1
+Bachelors,2017,Bangalore,1,39,Male,No,0,0
+Bachelors,2018,New Delhi,3,35,Female,No,2,1
+Bachelors,2014,New Delhi,3,38,Female,No,5,0
+Bachelors,2015,Bangalore,3,32,Male,No,0,0
+Bachelors,2017,Bangalore,3,34,Female,No,2,0
+Bachelors,2017,Bangalore,3,41,Male,No,1,0
+Masters,2012,Bangalore,3,40,Female,No,5,0
+Bachelors,2012,Pune,2,32,Male,No,1,1
+Bachelors,2013,Bangalore,3,35,Male,No,0,0
+PHD,2013,New Delhi,1,36,Female,No,3,0
+Bachelors,2013,Bangalore,3,40,Female,No,4,0
+Bachelors,2018,Pune,2,35,Female,No,2,1
+Masters,2017,New Delhi,2,37,Female,No,4,0
+Bachelors,2017,Bangalore,3,34,Male,No,3,0
+Bachelors,2012,Pune,3,36,Male,No,1,0
+Bachelors,2015,New Delhi,3,37,Male,No,4,0
+Bachelors,2014,Bangalore,3,39,Male,No,5,0
+Bachelors,2017,New Delhi,2,39,Female,No,0,0
+Masters,2018,New Delhi,3,38,Male,No,2,1
+Bachelors,2013,New Delhi,3,37,Female,No,1,0
+Bachelors,2012,New Delhi,2,33,Female,No,0,1
+PHD,2014,Bangalore,3,38,Female,No,3,0
+Masters,2017,New Delhi,2,40,Female,No,2,1
+Bachelors,2012,Bangalore,3,41,Male,No,5,0
+Bachelors,2013,Bangalore,2,38,Female,No,1,1
+Bachelors,2012,Bangalore,3,37,Male,No,4,0
+Bachelors,2014,Bangalore,3,39,Male,No,5,1
+Bachelors,2018,Bangalore,3,35,Male,No,1,1
+Masters,2017,New Delhi,3,39,Female,No,5,1
+Bachelors,2015,Pune,2,31,Female,No,1,1
+Bachelors,2012,Pune,3,33,Male,No,2,0
+Bachelors,2017,Pune,3,33,Male,No,2,0
+Bachelors,2013,Pune,3,32,Male,No,2,0
+Bachelors,2015,Pune,2,40,Female,No,4,1
+Bachelors,2013,New Delhi,3,38,Female,No,4,0
+Bachelors,2016,Bangalore,3,34,Male,Yes,2,0
+Bachelors,2016,Bangalore,1,39,Male,No,2,0
+Bachelors,2012,Bangalore,3,38,Male,No,2,0
+Masters,2017,New Delhi,2,31,Female,No,2,1
+Bachelors,2017,Bangalore,3,35,Female,No,5,0
+Bachelors,2013,Bangalore,3,31,Male,No,2,0
+Bachelors,2012,Pune,3,33,Male,No,1,0
+Bachelors,2015,Pune,2,37,Female,No,3,1
+Masters,2018,New Delhi,3,40,Female,No,2,1
+Bachelors,2014,Bangalore,3,38,Male,No,0,0
+Bachelors,2012,Bangalore,3,31,Male,Yes,5,0
+PHD,2014,Bangalore,3,39,Male,No,1,0
+Bachelors,2016,New Delhi,3,40,Male,No,0,0
+Bachelors,2017,Pune,3,36,Female,No,0,1
+Bachelors,2015,Bangalore,3,39,Female,No,3,1
+Bachelors,2012,Bangalore,3,39,Male,No,0,0
+Bachelors,2013,Bangalore,3,35,Female,No,0,0
+Masters,2013,New Delhi,3,35,Male,No,2,0
+Bachelors,2013,Bangalore,3,35,Male,No,5,0
+Masters,2017,Bangalore,3,34,Female,No,4,0
+Bachelors,2014,Bangalore,3,41,Male,No,4,0
+Bachelors,2017,Bangalore,3,35,Male,No,5,0
+Bachelors,2013,Bangalore,3,40,Male,No,1,0
+Masters,2017,Pune,3,31,Male,No,3,1
+Masters,2014,New Delhi,3,33,Male,No,3,0
+Bachelors,2017,Pune,2,33,Female,No,2,1
+Bachelors,2016,Bangalore,3,39,Female,No,5,0
+Bachelors,2016,Bangalore,3,41,Male,No,1,1
+Bachelors,2017,Bangalore,3,32,Male,No,5,0
+Bachelors,2014,Pune,2,39,Female,No,5,1
+Bachelors,2014,Bangalore,3,31,Male,No,1,0
+Bachelors,2012,Bangalore,3,40,Male,No,3,0
+Masters,2018,New Delhi,3,34,Male,No,2,1
+Bachelors,2018,New Delhi,3,37,Male,No,4,1
+Bachelors,2016,Bangalore,3,37,Female,No,0,0
+Bachelors,2014,Bangalore,3,36,Female,No,3,0
+Bachelors,2015,Bangalore,2,39,Female,No,0,1
+Bachelors,2014,Pune,3,37,Male,No,1,0
+Masters,2014,New Delhi,3,37,Male,No,2,0
+Masters,2017,New Delhi,3,32,Male,No,2,0
+Bachelors,2014,New Delhi,3,37,Male,No,3,0
+Bachelors,2017,Bangalore,3,36,Female,No,3,0
+Bachelors,2015,Pune,2,40,Female,No,2,1
+Bachelors,2014,Bangalore,3,40,Male,No,0,0
+Bachelors,2012,Pune,3,32,Male,No,3,0
+Bachelors,2012,Bangalore,3,37,Male,No,3,1
+Bachelors,2017,Pune,3,40,Female,No,1,1
+Bachelors,2014,Pune,3,40,Male,No,5,0
+Bachelors,2017,Bangalore,3,34,Female,Yes,0,0
+Bachelors,2012,Bangalore,3,37,Male,No,3,0
+Bachelors,2017,Bangalore,3,35,Male,No,3,0
+Bachelors,2017,Pune,3,37,Female,No,2,0
+Bachelors,2012,New Delhi,3,35,Female,No,2,0
+Bachelors,2014,Bangalore,3,31,Male,No,0,1
+Bachelors,2016,Bangalore,3,41,Male,No,4,0
+Masters,2017,New Delhi,3,37,Female,No,3,0
+Bachelors,2018,Pune,3,40,Male,No,0,1
+Bachelors,2018,Bangalore,1,36,Male,Yes,1,0
+PHD,2018,New Delhi,3,37,Female,No,2,1
+Bachelors,2014,Bangalore,3,40,Female,No,0,0
+Bachelors,2017,Bangalore,3,34,Male,No,3,0
+Bachelors,2018,Pune,3,37,Male,No,5,1
+Bachelors,2016,Pune,3,38,Male,No,0,0
+Bachelors,2017,Bangalore,2,37,Male,No,2,1
+Bachelors,2016,Pune,3,32,Male,No,1,1
+Bachelors,2016,Bangalore,3,31,Male,No,3,0
+Bachelors,2013,Bangalore,1,40,Male,No,2,0
+Bachelors,2017,Bangalore,3,40,Female,No,4,0
+Bachelors,2015,Bangalore,3,31,Male,No,1,0
+Masters,2017,Pune,2,36,Male,No,2,0
+Bachelors,2017,Bangalore,3,38,Male,Yes,2,0
+Bachelors,2014,Pune,3,37,Female,No,5,1
+Bachelors,2014,Pune,3,34,Female,No,2,1
+Bachelors,2013,Bangalore,3,41,Male,Yes,2,1
+Bachelors,2015,Pune,2,32,Female,No,3,1
+Bachelors,2015,Pune,3,34,Male,No,5,0
+PHD,2013,Bangalore,3,39,Male,No,2,1
+Masters,2013,New Delhi,2,32,Male,No,2,1
+Bachelors,2012,Bangalore,3,31,Female,No,3,0
+PHD,2016,New Delhi,3,40,Male,No,1,0
+Bachelors,2015,Bangalore,3,37,Female,No,0,0
+Masters,2017,New Delhi,3,40,Female,No,0,0
+Bachelors,2013,Bangalore,3,31,Male,No,1,0
+Bachelors,2017,Bangalore,3,32,Male,No,2,0
+Bachelors,2017,Bangalore,3,34,Female,Yes,1,0
+Masters,2013,Pune,2,41,Male,No,2,1
+Masters,2015,New Delhi,3,37,Male,No,2,0
+Bachelors,2015,Bangalore,3,40,Female,No,1,0
+Masters,2017,Pune,2,35,Male,No,2,0
+Bachelors,2012,Bangalore,3,39,Male,No,3,0
+Bachelors,2017,Pune,3,41,Male,No,4,0
+Bachelors,2015,Bangalore,3,36,Male,No,4,0
+Bachelors,2014,Bangalore,3,32,Male,No,5,0
+Bachelors,2013,Bangalore,3,41,Male,No,2,0
+Bachelors,2013,Bangalore,3,32,Male,No,0,0
+Bachelors,2017,Bangalore,3,36,Male,No,2,0
+Bachelors,2013,Bangalore,3,40,Male,No,4,0
+Bachelors,2018,Bangalore,3,32,Male,Yes,1,1
+Bachelors,2016,Bangalore,3,38,Male,No,1,0
+Bachelors,2018,Bangalore,3,41,Male,No,4,1
+Masters,2017,Pune,2,35,Male,No,3,1
+Bachelors,2016,Bangalore,3,36,Female,No,1,0
+Bachelors,2014,Bangalore,3,35,Female,No,4,0
+Bachelors,2016,Bangalore,3,31,Male,No,2,0
+PHD,2015,Pune,3,37,Male,No,2,0
+Bachelors,2013,Bangalore,3,41,Female,No,4,0
+Bachelors,2013,Bangalore,3,31,Male,No,0,0
+Bachelors,2017,New Delhi,2,36,Male,No,2,0
+Bachelors,2015,New Delhi,3,32,Male,No,1,0
+Bachelors,2017,Bangalore,3,34,Male,No,0,0
+Bachelors,2015,Bangalore,3,39,Female,No,0,0
+Bachelors,2014,Bangalore,3,33,Male,No,1,1
+Bachelors,2017,New Delhi,2,36,Male,No,3,0
+Bachelors,2016,Bangalore,1,34,Male,Yes,2,1
+Bachelors,2017,Pune,2,33,Male,No,1,0
+Bachelors,2012,Bangalore,3,38,Female,No,4,1
+Bachelors,2013,Bangalore,3,35,Male,No,3,1
+Bachelors,2017,Pune,3,31,Male,No,1,0
+Bachelors,2013,Pune,3,37,Male,No,2,0
+Bachelors,2012,Bangalore,3,32,Female,No,2,1
+Bachelors,2013,Pune,3,34,Male,Yes,5,0
+PHD,2013,Bangalore,2,41,Male,No,2,1
+Masters,2015,New Delhi,3,32,Male,No,0,1
+Bachelors,2013,Bangalore,3,39,Male,No,2,0
+Bachelors,2012,Bangalore,3,31,Male,Yes,0,1
+Bachelors,2017,New Delhi,2,41,Male,No,1,0
+Bachelors,2016,Bangalore,3,36,Male,No,2,0
+Bachelors,2017,Bangalore,2,38,Female,No,5,1
+Bachelors,2012,Bangalore,3,32,Male,No,5,0
+Bachelors,2018,Pune,3,35,Female,No,3,1
+Bachelors,2017,Bangalore,3,39,Male,No,2,0
+Masters,2017,New Delhi,2,36,Male,Yes,2,0
+Bachelors,2013,Pune,3,33,Male,No,4,0
+Bachelors,2013,Pune,3,32,Male,Yes,5,0
+Bachelors,2017,Bangalore,3,35,Male,No,1,1
+Bachelors,2015,Bangalore,3,36,Male,No,1,0
+Masters,2014,Pune,3,39,Male,No,4,0
+Bachelors,2016,Bangalore,3,40,Male,No,0,1
+Bachelors,2012,Bangalore,3,37,Male,No,3,0
+Masters,2015,Pune,1,38,Female,No,0,0
+Bachelors,2017,New Delhi,3,40,Male,No,1,0
+Bachelors,2013,Bangalore,3,34,Female,No,2,0
+Bachelors,2013,Bangalore,3,31,Male,Yes,4,0
+Bachelors,2014,New Delhi,3,40,Female,No,3,1
+Bachelors,2013,Bangalore,3,37,Male,No,2,0
+Bachelors,2012,New Delhi,3,33,Male,No,3,0
+Bachelors,2015,Bangalore,3,36,Male,Yes,4,0
+Bachelors,2014,Bangalore,3,35,Female,No,4,0
+Bachelors,2014,Bangalore,3,34,Male,No,5,0
+Bachelors,2013,Bangalore,3,35,Male,No,0,1
+Masters,2014,New Delhi,3,39,Male,No,2,0
+Bachelors,2015,Pune,3,35,Female,No,1,1
+Masters,2014,New Delhi,3,34,Male,No,5,0
+Bachelors,2017,Pune,2,32,Female,No,2,1
+Bachelors,2015,New Delhi,3,32,Female,No,2,0
+Bachelors,2014,Bangalore,3,33,Male,No,5,1
+Masters,2017,New Delhi,2,34,Male,No,2,1
+Masters,2016,Bangalore,3,35,Female,No,1,1
+Masters,2017,New Delhi,3,35,Male,Yes,2,0
+Bachelors,2014,Pune,2,38,Female,No,3,1
+Bachelors,2016,Bangalore,3,37,Male,No,0,0
+Bachelors,2013,Bangalore,3,38,Female,No,4,0
+Bachelors,2015,Bangalore,3,41,Male,No,0,0
+Masters,2017,Bangalore,3,40,Male,No,4,1
+Bachelors,2017,Bangalore,3,39,Female,No,3,0
+Bachelors,2017,Pune,2,32,Male,No,2,0
+Bachelors,2018,New Delhi,3,40,Male,Yes,4,1
+Bachelors,2016,Bangalore,3,40,Male,No,0,0
+Bachelors,2016,Bangalore,3,41,Female,No,1,1
+Bachelors,2015,Bangalore,3,38,Male,Yes,4,0
+Masters,2017,Pune,1,38,Male,No,0,1
+Bachelors,2018,Bangalore,3,41,Female,No,2,1
+Bachelors,2015,New Delhi,2,33,Female,No,4,1
+Bachelors,2012,Bangalore,3,41,Male,Yes,0,0
+Bachelors,2017,New Delhi,2,35,Female,No,5,0
+Bachelors,2013,Bangalore,3,36,Male,No,5,0
+Bachelors,2013,Pune,3,37,Male,No,1,0
+Bachelors,2013,New Delhi,1,37,Female,No,1,0
+Bachelors,2014,Bangalore,3,39,Male,No,5,0
+Bachelors,2017,Bangalore,3,38,Female,No,2,0
+Bachelors,2013,Pune,2,34,Female,No,1,1
+Bachelors,2017,Pune,2,33,Female,No,4,1
+Bachelors,2013,Bangalore,3,32,Female,No,1,0
+Masters,2014,Bangalore,3,38,Female,No,4,1
+Bachelors,2017,Bangalore,3,32,Male,No,5,0
+Masters,2016,New Delhi,3,41,Male,No,5,1
+Masters,2014,Pune,3,36,Female,No,2,0
+Bachelors,2017,New Delhi,3,34,Female,No,2,1
+Bachelors,2017,Bangalore,3,34,Male,Yes,0,0
+Bachelors,2016,Bangalore,3,35,Male,No,4,0
+Masters,2015,New Delhi,3,38,Male,No,1,0
+Bachelors,2016,Bangalore,3,32,Male,Yes,5,0
+Bachelors,2015,Pune,3,37,Female,No,2,1
+Bachelors,2017,Bangalore,2,32,Female,No,2,1
+Masters,2017,New Delhi,2,36,Male,No,3,0
+Bachelors,2012,Bangalore,3,41,Male,No,3,0
+Bachelors,2017,Pune,3,37,Female,No,5,0
+Bachelors,2018,Bangalore,3,34,Female,No,3,1
+Bachelors,2016,Pune,3,31,Male,No,0,1
+Bachelors,2017,Bangalore,3,41,Male,No,1,0
+Bachelors,2015,New Delhi,3,35,Female,No,3,0
+Bachelors,2015,Bangalore,3,37,Female,No,5,0
+Bachelors,2016,Bangalore,3,34,Male,No,4,0
+Masters,2017,Bangalore,2,40,Female,Yes,2,0
+Bachelors,2015,Bangalore,3,39,Male,No,5,1
+Bachelors,2013,Pune,3,37,Male,No,2,0
+Bachelors,2015,Pune,2,36,Female,Yes,1,1
+Bachelors,2014,Bangalore,3,35,Female,No,2,0
+Masters,2013,Bangalore,3,37,Female,No,3,1
+Bachelors,2013,New Delhi,3,41,Female,No,1,0
+Masters,2017,New Delhi,2,40,Male,No,2,0
+Bachelors,2016,Bangalore,3,37,Male,No,2,0
+Masters,2013,New Delhi,3,40,Female,No,2,1
+Bachelors,2015,Bangalore,3,39,Male,No,5,0
+Masters,2015,Pune,2,33,Female,No,4,0
+Bachelors,2012,Bangalore,3,36,Male,No,1,1
+Bachelors,2012,Bangalore,3,36,Male,No,5,0
+Bachelors,2015,Bangalore,3,38,Male,No,3,0
+Bachelors,2017,New Delhi,2,37,Female,No,5,0
+Masters,2017,New Delhi,3,34,Female,No,2,0
+Bachelors,2013,Bangalore,3,31,Male,No,2,1
+Bachelors,2013,Bangalore,3,38,Male,No,5,0
+Bachelors,2017,Bangalore,3,36,Male,No,3,0
+Bachelors,2012,Bangalore,3,40,Male,No,1,0
+Bachelors,2017,Bangalore,3,41,Male,No,5,1
+Bachelors,2015,Bangalore,3,31,Female,No,4,0
+Bachelors,2017,New Delhi,3,41,Male,No,2,0
+Bachelors,2015,New Delhi,3,31,Female,No,3,0
+Bachelors,2017,Pune,3,31,Female,No,0,1
+Bachelors,2017,New Delhi,2,37,Male,No,0,0
+Bachelors,2012,Pune,3,39,Male,No,0,0
+Bachelors,2014,Bangalore,3,38,Male,No,3,0
+Bachelors,2013,Pune,3,40,Female,No,2,1
+Bachelors,2013,Pune,3,36,Male,No,1,0
+Bachelors,2016,Bangalore,3,41,Male,No,3,0
+Bachelors,2018,Bangalore,3,32,Female,No,2,1
+Masters,2018,Bangalore,3,40,Female,No,3,1
+Bachelors,2012,Bangalore,3,39,Female,No,2,0
+Bachelors,2014,New Delhi,3,33,Male,No,3,0
+Bachelors,2012,Bangalore,3,32,Male,No,4,0
+Bachelors,2018,Bangalore,3,41,Male,No,5,1
+Bachelors,2016,Bangalore,3,36,Male,No,2,0
+Bachelors,2016,Bangalore,3,31,Male,No,0,0
+Bachelors,2014,Bangalore,3,37,Male,No,4,0
+Bachelors,2014,Bangalore,3,33,Male,No,5,1
+Masters,2018,Pune,3,31,Male,No,2,1
+Bachelors,2017,New Delhi,3,35,Female,No,5,0
+Bachelors,2015,Pune,1,32,Female,No,5,1
+Masters,2017,New Delhi,3,41,Female,No,2,0
+Masters,2017,New Delhi,2,36,Female,No,1,0
+Masters,2017,Pune,3,35,Male,No,1,0
+Masters,2017,New Delhi,3,35,Male,No,1,1
+Bachelors,2015,New Delhi,3,33,Male,No,1,0
+Bachelors,2014,Bangalore,3,38,Female,No,4,0
+Bachelors,2015,New Delhi,2,33,Female,No,3,1
+Masters,2018,New Delhi,3,31,Female,Yes,2,1
+PHD,2015,Bangalore,3,31,Male,No,3,0
+Bachelors,2013,Bangalore,3,37,Male,No,5,0
+Bachelors,2014,Bangalore,3,32,Male,No,1,0
+Bachelors,2017,Bangalore,3,33,Male,No,3,0
+Bachelors,2014,Bangalore,3,37,Male,No,5,0
+Bachelors,2012,Bangalore,3,32,Male,No,3,0
+Bachelors,2015,Pune,3,40,Female,Yes,2,1
+Bachelors,2014,Pune,1,40,Female,No,1,1
+Masters,2013,New Delhi,2,32,Male,No,2,1
+Masters,2017,Bangalore,2,39,Female,No,2,1
+PHD,2016,New Delhi,3,41,Male,No,1,0
+PHD,2014,New Delhi,3,32,Female,No,0,0
+Bachelors,2017,Bangalore,3,38,Male,No,0,1
+Masters,2017,New Delhi,2,31,Female,Yes,2,0
+Bachelors,2018,Bangalore,3,38,Male,Yes,3,1
+Bachelors,2016,Bangalore,3,32,Male,No,4,0
+Bachelors,2017,Pune,2,35,Female,No,5,1
+Bachelors,2013,Bangalore,3,34,Male,No,5,0
+Bachelors,2018,Bangalore,3,38,Male,Yes,1,1
+Bachelors,2014,Pune,1,36,Female,No,1,1
+Bachelors,2015,Bangalore,3,34,Female,Yes,2,0
+Masters,2015,New Delhi,3,39,Female,No,2,0
+Masters,2017,New Delhi,1,40,Female,No,0,0
+Bachelors,2016,Bangalore,3,38,Male,Yes,1,0
+Bachelors,2015,Pune,3,35,Male,No,3,0
+Bachelors,2014,Pune,2,31,Male,No,3,1
+Bachelors,2017,Pune,3,41,Male,No,2,0
+Bachelors,2017,Bangalore,3,35,Female,No,3,0
+Bachelors,2018,Bangalore,3,33,Male,No,5,1
+Bachelors,2017,New Delhi,2,33,Male,No,5,0
+Bachelors,2016,New Delhi,3,31,Female,Yes,4,0
+Masters,2013,New Delhi,3,35,Male,No,4,0
+Bachelors,2016,Bangalore,3,37,Female,No,1,0
+Bachelors,2015,Bangalore,3,31,Male,No,5,0
+Bachelors,2012,Bangalore,3,35,Male,No,1,1
+Bachelors,2014,Bangalore,3,32,Male,No,3,0
+Bachelors,2015,Bangalore,3,32,Female,No,0,0
+Bachelors,2017,Bangalore,3,40,Female,No,5,0
+Bachelors,2012,Bangalore,3,34,Male,No,5,0
+Bachelors,2014,Pune,3,37,Male,No,4,0
+PHD,2015,Bangalore,3,40,Male,No,3,0
+Masters,2017,New Delhi,2,34,Female,No,2,1
+Bachelors,2015,Pune,2,32,Female,No,3,1
+Bachelors,2013,Bangalore,3,33,Male,No,1,0
+Bachelors,2015,Bangalore,3,38,Male,No,3,1
+Masters,2017,New Delhi,2,41,Male,No,3,1
+Masters,2017,New Delhi,1,36,Female,No,0,0
+Bachelors,2016,Bangalore,3,33,Male,No,1,0
+Bachelors,2014,Pune,3,31,Male,No,5,0
+Bachelors,2013,Pune,2,34,Female,No,3,1
+Bachelors,2017,Bangalore,3,31,Male,No,1,0
+Bachelors,2016,New Delhi,2,36,Female,No,4,1
+Bachelors,2013,Bangalore,3,38,Male,No,5,0
+Bachelors,2015,Pune,2,39,Female,Yes,1,1
+Bachelors,2014,Pune,3,31,Male,No,3,0
+Bachelors,2015,New Delhi,3,40,Male,No,3,1
+Bachelors,2013,Bangalore,3,39,Male,No,0,0
+Bachelors,2015,Bangalore,3,32,Female,No,4,0
+Bachelors,2014,Bangalore,3,34,Male,No,1,0
+Masters,2015,New Delhi,3,38,Male,No,1,0
+Bachelors,2014,Bangalore,1,39,Male,No,2,0
+Bachelors,2014,Bangalore,3,39,Male,No,5,0
+Bachelors,2016,Bangalore,3,33,Male,No,1,0
+Bachelors,2018,Pune,2,34,Female,No,4,1
+Bachelors,2017,Pune,3,38,Male,Yes,1,0
+Masters,2017,New Delhi,2,33,Male,No,2,0
+Bachelors,2014,Bangalore,3,41,Male,No,5,0
+Masters,2017,Pune,1,39,Male,No,0,0
+Masters,2013,Pune,3,39,Male,No,2,0
+Bachelors,2014,Bangalore,3,41,Male,No,5,0
+Bachelors,2012,Bangalore,3,40,Male,No,4,0
+Bachelors,2014,Bangalore,3,36,Male,No,0,0
+Bachelors,2015,Bangalore,3,34,Male,No,0,0
+Bachelors,2013,Bangalore,3,32,Male,No,5,1
+Bachelors,2015,Bangalore,3,31,Male,No,4,0
+Bachelors,2012,Bangalore,3,36,Male,Yes,0,0
+Masters,2017,Pune,2,35,Male,No,1,1
+Bachelors,2017,Bangalore,3,32,Male,No,2,0
+Bachelors,2017,Pune,3,33,Male,Yes,5,0
+Bachelors,2016,Bangalore,3,34,Male,No,2,0
+Bachelors,2017,Bangalore,3,39,Male,No,3,0
+Bachelors,2018,Bangalore,3,38,Male,No,0,1
+Bachelors,2012,Pune,2,35,Female,No,1,1
+Bachelors,2015,Pune,2,40,Female,Yes,5,1
+Bachelors,2017,Pune,3,41,Male,No,3,0
+Bachelors,2016,Bangalore,1,33,Female,Yes,3,0
+Masters,2017,New Delhi,1,40,Male,No,0,0
+Bachelors,2018,Bangalore,3,33,Female,No,3,1
+Bachelors,2015,Bangalore,3,38,Male,No,1,1
+Masters,2017,Bangalore,2,32,Male,No,2,0
+Bachelors,2014,Pune,3,32,Male,Yes,2,0
+Bachelors,2015,New Delhi,3,32,Female,No,2,0
+Bachelors,2016,Pune,2,37,Female,No,2,1
+Bachelors,2015,Bangalore,3,40,Male,No,5,0
+Bachelors,2016,Bangalore,3,38,Male,No,1,0
+PHD,2018,New Delhi,3,33,Female,No,4,1
+Masters,2017,New Delhi,2,40,Male,No,4,0
+Masters,2017,New Delhi,2,35,Male,No,2,0
+Bachelors,2016,Bangalore,3,33,Male,No,3,0
+Bachelors,2017,Bangalore,3,37,Male,No,4,0
+Bachelors,2013,Bangalore,3,38,Male,No,0,0
+Bachelors,2018,Bangalore,3,32,Male,No,2,1
+Bachelors,2017,Bangalore,3,40,Female,No,2,0
+Bachelors,2015,New Delhi,3,33,Female,No,2,0
+Bachelors,2016,Bangalore,3,38,Male,No,2,1
+Bachelors,2013,Bangalore,3,34,Male,No,5,0
+Bachelors,2017,New Delhi,3,38,Female,No,4,0
+Bachelors,2018,Pune,2,31,Female,No,3,1
+Bachelors,2014,Pune,3,32,Female,No,4,0
+Bachelors,2013,Bangalore,3,35,Male,Yes,1,0
+Bachelors,2014,Bangalore,3,35,Male,No,0,1
+Bachelors,2012,Bangalore,3,33,Female,No,4,0
+Bachelors,2012,New Delhi,3,41,Female,No,0,0
+Bachelors,2015,Pune,1,31,Female,No,3,1
+Bachelors,2016,Bangalore,3,34,Male,No,3,0
+Masters,2017,New Delhi,2,40,Female,No,2,0
+Masters,2016,Bangalore,3,32,Male,No,1,1
+Bachelors,2012,Bangalore,3,36,Male,No,5,0
+Bachelors,2014,Pune,2,40,Female,No,3,1
+Bachelors,2012,Pune,3,31,Male,No,3,0
+Bachelors,2014,Bangalore,1,34,Female,No,5,0
+Masters,2013,New Delhi,3,41,Female,Yes,2,1
+Masters,2017,New Delhi,2,32,Male,No,2,0
+Bachelors,2016,Bangalore,3,41,Male,No,2,0
+Masters,2014,New Delhi,3,33,Male,No,3,0
+Bachelors,2013,Bangalore,3,33,Female,No,0,1
+Bachelors,2013,Pune,3,39,Female,No,2,0
+Masters,2018,Pune,3,40,Male,No,2,1
+Bachelors,2017,New Delhi,3,34,Male,No,3,0
+Bachelors,2016,Pune,3,41,Male,Yes,5,0
+Bachelors,2015,Pune,3,37,Male,No,5,1
+Masters,2017,Bangalore,3,32,Female,No,4,1
+Bachelors,2017,Bangalore,3,41,Male,No,3,0
+Bachelors,2018,Bangalore,3,34,Female,Yes,2,1
+Masters,2017,Bangalore,3,38,Male,No,5,1
+Bachelors,2017,Bangalore,3,40,Female,No,3,0
+Masters,2017,Pune,3,35,Male,No,2,0
+Bachelors,2015,Pune,3,31,Male,No,1,0
+Bachelors,2016,Pune,3,39,Male,No,4,0
+Bachelors,2018,Bangalore,3,39,Male,No,1,1
+Bachelors,2018,Bangalore,3,32,Male,No,3,1
+Bachelors,2015,Bangalore,3,38,Male,No,5,0
+Bachelors,2015,Bangalore,3,35,Male,No,3,0
+Bachelors,2013,Bangalore,1,38,Male,No,4,0
+Bachelors,2012,New Delhi,3,32,Male,No,1,1
+Bachelors,2014,Pune,2,37,Female,No,5,1
+Bachelors,2015,Pune,3,35,Male,No,0,0
+Bachelors,2017,Pune,3,41,Female,No,4,1
+Masters,2015,Bangalore,3,36,Male,No,0,0
+Bachelors,2017,Bangalore,3,35,Male,No,2,0
+Masters,2017,New Delhi,2,36,Male,No,2,1
+Masters,2017,Bangalore,1,34,Male,No,1,0
+Bachelors,2015,Bangalore,3,36,Male,No,3,0
+Bachelors,2017,Pune,2,33,Male,No,3,0
+Masters,2018,New Delhi,3,38,Male,No,2,1
+PHD,2013,New Delhi,3,35,Female,Yes,3,1
+Bachelors,2015,New Delhi,2,37,Female,No,3,1
+Bachelors,2017,Bangalore,3,31,Male,No,0,0
+Bachelors,2017,Pune,2,40,Female,No,2,1
+Bachelors,2015,Pune,3,32,Female,No,3,1
+Bachelors,2015,Bangalore,3,35,Male,Yes,2,0
+Bachelors,2012,Bangalore,3,38,Male,Yes,0,0
+Bachelors,2015,Pune,2,36,Female,No,0,1
+Masters,2015,Pune,3,36,Male,No,3,0
+Masters,2014,New Delhi,3,32,Female,No,5,0
+Bachelors,2018,Pune,2,37,Female,No,0,1
+Bachelors,2018,Pune,3,35,Female,No,0,1
+Bachelors,2015,Pune,1,36,Female,No,4,1
+Bachelors,2015,New Delhi,2,34,Female,No,5,1
+Masters,2017,New Delhi,2,35,Female,No,0,0
+Masters,2017,New Delhi,2,38,Female,No,5,0
+Bachelors,2015,Pune,2,39,Female,No,5,1
+Bachelors,2012,Pune,2,32,Female,No,5,1
+Bachelors,2015,Bangalore,3,39,Male,No,2,0
+Bachelors,2015,Bangalore,3,39,Male,No,2,1
+Masters,2017,Pune,2,37,Male,No,2,0
+Bachelors,2015,Bangalore,3,32,Female,No,5,0
+Bachelors,2017,New Delhi,2,38,Male,No,0,0
+Bachelors,2012,Pune,2,36,Female,No,5,1
+Masters,2016,Bangalore,1,37,Male,No,2,1
+Bachelors,2017,Pune,3,32,Male,No,4,0
+Masters,2017,New Delhi,3,37,Male,No,2,0
+Bachelors,2016,New Delhi,3,33,Male,No,2,0
+Bachelors,2016,Bangalore,3,39,Male,No,4,0
+Bachelors,2012,Bangalore,3,35,Male,No,1,1
+Masters,2015,Pune,3,39,Male,No,5,0
+Bachelors,2015,Bangalore,3,34,Male,No,0,0
+Masters,2017,New Delhi,2,33,Male,No,4,0
+Bachelors,2012,Bangalore,3,33,Male,No,1,0
+Bachelors,2015,New Delhi,3,31,Male,No,0,0
+PHD,2016,Pune,3,31,Female,No,4,0
+Bachelors,2015,Bangalore,3,37,Female,No,4,0
+Bachelors,2012,Bangalore,3,33,Male,No,0,0
+Bachelors,2017,Pune,3,31,Male,No,0,0
+Bachelors,2017,Bangalore,3,41,Female,No,2,0
+Masters,2017,Pune,2,39,Male,No,2,0
+Masters,2013,New Delhi,3,32,Male,No,2,0
+Bachelors,2016,Pune,3,37,Male,No,3,0
+Bachelors,2014,Bangalore,3,37,Male,No,1,0
+Bachelors,2017,Pune,2,34,Female,No,3,1
+Bachelors,2017,New Delhi,2,31,Male,No,2,0
+Bachelors,2014,Pune,2,34,Female,Yes,1,1
+Bachelors,2012,Bangalore,3,38,Female,No,5,0
+Bachelors,2013,Bangalore,3,37,Female,No,1,0
+Bachelors,2015,Pune,1,34,Female,No,3,1
+Bachelors,2015,Bangalore,3,33,Male,No,2,0
+Bachelors,2016,Bangalore,3,37,Male,No,4,0
+Bachelors,2016,Bangalore,3,41,Male,No,4,0
+Bachelors,2012,Bangalore,1,38,Female,No,1,0
+Bachelors,2016,Pune,3,40,Male,No,5,0
+Bachelors,2017,New Delhi,3,33,Female,No,1,1
+Bachelors,2016,New Delhi,3,33,Male,No,1,0
+Masters,2013,New Delhi,3,37,Male,Yes,2,0
+Bachelors,2017,New Delhi,2,36,Female,No,2,0
+Bachelors,2012,Bangalore,3,36,Female,No,5,0
+Bachelors,2015,Bangalore,3,41,Male,No,1,0
+Masters,2014,New Delhi,3,40,Male,No,5,0
+Bachelors,2016,Bangalore,3,36,Female,No,0,0
+Masters,2017,Bangalore,2,41,Male,Yes,2,1
+Bachelors,2015,Pune,3,33,Male,No,5,0
+Masters,2017,New Delhi,2,37,Female,No,2,0
+Bachelors,2017,New Delhi,2,33,Male,No,0,0
+Bachelors,2014,Bangalore,3,40,Female,No,4,0
+Masters,2018,New Delhi,3,36,Male,No,2,1
+Bachelors,2018,Bangalore,3,40,Male,Yes,3,1
+Masters,2018,Bangalore,3,40,Male,No,2,1
+Bachelors,2014,Bangalore,3,34,Male,No,3,0
+Bachelors,2012,Pune,3,39,Male,No,5,0
+Bachelors,2017,Pune,2,33,Male,No,1,1
+Bachelors,2016,Bangalore,3,37,Male,No,2,0
+Bachelors,2012,New Delhi,3,40,Male,No,3,0
+Bachelors,2018,Bangalore,3,38,Male,No,1,1
+Bachelors,2016,Bangalore,3,40,Male,Yes,1,0
+Bachelors,2014,New Delhi,3,38,Female,No,0,0
+Bachelors,2016,Bangalore,3,34,Male,Yes,1,0
+Masters,2016,New Delhi,3,37,Female,No,3,1
+Bachelors,2015,Bangalore,3,40,Male,No,5,0
+Bachelors,2015,New Delhi,3,40,Female,No,1,0
+Masters,2016,Bangalore,3,37,Male,No,2,1
+Bachelors,2016,Pune,2,37,Female,No,3,1
+Bachelors,2013,Pune,3,32,Male,No,1,0
+Masters,2017,New Delhi,1,35,Male,No,5,0
+Bachelors,2016,Bangalore,1,38,Male,No,3,0
+Bachelors,2017,Pune,3,34,Female,No,1,0
+Bachelors,2014,Bangalore,3,32,Male,No,2,1
+Bachelors,2013,Bangalore,3,37,Male,No,5,0
+Bachelors,2017,New Delhi,2,37,Male,No,4,0
+Bachelors,2014,Bangalore,3,35,Male,No,2,0
+Bachelors,2016,Bangalore,3,40,Male,No,0,0
+Bachelors,2012,Bangalore,3,40,Male,Yes,2,0
+Bachelors,2015,Bangalore,3,39,Female,No,3,1
+Masters,2013,New Delhi,3,41,Female,No,2,0
+Bachelors,2015,Bangalore,3,34,Female,No,4,0
+Bachelors,2012,New Delhi,3,34,Female,No,4,0
+Bachelors,2013,Pune,2,36,Male,No,2,1
+Masters,2016,New Delhi,3,39,Female,No,1,0
+Bachelors,2014,New Delhi,3,41,Male,No,5,0
+Bachelors,2015,Bangalore,3,40,Male,No,0,0
+Bachelors,2017,Bangalore,3,34,Female,No,5,0
+Bachelors,2013,Bangalore,3,31,Male,No,2,0
+Bachelors,2012,Pune,3,40,Male,No,3,0
+Bachelors,2013,Pune,3,32,Male,No,5,0
+Bachelors,2018,Pune,3,38,Male,No,3,1
+Bachelors,2016,Bangalore,3,40,Male,No,3,0
+PHD,2013,Bangalore,3,41,Male,No,4,0
+Bachelors,2014,Bangalore,3,36,Female,No,0,0
+Bachelors,2015,Pune,2,33,Female,Yes,3,1
+Bachelors,2016,New Delhi,3,37,Male,No,3,0
+Bachelors,2015,Pune,3,38,Male,No,4,0
+Bachelors,2017,Bangalore,3,32,Male,No,4,0
+Bachelors,2017,Pune,3,33,Male,No,1,0
+Bachelors,2015,Bangalore,3,38,Male,No,5,0
+Bachelors,2015,Pune,3,40,Female,No,5,1
+Bachelors,2014,Bangalore,3,35,Male,Yes,0,0
+Masters,2016,New Delhi,3,37,Female,No,5,0
+Bachelors,2016,Bangalore,3,37,Male,Yes,2,0
+Bachelors,2015,Bangalore,3,36,Male,No,2,0
+Bachelors,2017,Bangalore,3,33,Female,No,4,1
+Bachelors,2014,Pune,2,36,Female,No,3,1
+Bachelors,2016,Pune,3,32,Male,No,3,0
+Bachelors,2017,Bangalore,3,35,Female,No,1,1
+Bachelors,2014,Pune,2,34,Female,No,2,1
+Masters,2017,Pune,2,40,Male,No,5,0
+Bachelors,2016,Bangalore,3,37,Female,No,4,0
+Bachelors,2015,Bangalore,1,36,Male,No,1,0
+Bachelors,2012,Pune,3,41,Female,No,1,0
+Bachelors,2016,Pune,3,36,Male,No,0,0
+Bachelors,2017,Bangalore,3,31,Female,No,2,0
+Bachelors,2017,Pune,3,31,Male,No,3,0
+Bachelors,2014,Pune,3,33,Male,No,2,0
+Bachelors,2017,Bangalore,3,35,Male,Yes,0,0
+PHD,2016,New Delhi,3,34,Male,No,1,0
+Bachelors,2014,Bangalore,3,39,Female,No,4,0
+Masters,2015,Bangalore,3,31,Male,No,1,1
+Bachelors,2015,Pune,3,32,Female,No,0,1
+Bachelors,2017,Bangalore,3,33,Male,No,0,1
+Bachelors,2014,Bangalore,3,34,Male,Yes,1,0
+Masters,2014,Pune,3,39,Male,No,2,0
+Bachelors,2017,New Delhi,2,41,Female,No,2,1
+Bachelors,2017,New Delhi,2,34,Male,No,2,0
+Bachelors,2013,Bangalore,3,36,Female,No,5,0
+Bachelors,2015,Pune,2,39,Female,No,5,1
+Bachelors,2012,Pune,3,37,Male,No,5,0
+Bachelors,2016,Bangalore,3,36,Male,No,4,0
+Bachelors,2014,New Delhi,3,38,Female,No,1,0
+Bachelors,2017,Bangalore,3,38,Female,No,3,0
+Masters,2016,New Delhi,3,37,Female,No,2,1
+Bachelors,2012,Bangalore,3,34,Male,No,2,0
+Bachelors,2015,Bangalore,3,31,Male,No,2,0
+Bachelors,2015,Pune,2,32,Female,No,2,1
+Masters,2018,New Delhi,3,35,Male,No,2,1
+Bachelors,2017,Bangalore,3,31,Male,Yes,2,0
+Bachelors,2015,Bangalore,1,32,Male,Yes,0,1
+Bachelors,2015,Bangalore,3,31,Female,No,5,0
+Bachelors,2018,Bangalore,3,37,Male,No,5,1
+PHD,2018,New Delhi,3,40,Male,No,3,1
+Bachelors,2015,Bangalore,1,41,Male,No,1,0
+Bachelors,2017,Pune,3,34,Male,No,5,0
+Bachelors,2014,Bangalore,3,36,Male,Yes,3,0
+Bachelors,2013,Pune,3,35,Male,No,1,0
+Masters,2017,New Delhi,3,38,Female,No,3,0
+Bachelors,2017,Bangalore,3,33,Male,No,1,0
+Bachelors,2014,Bangalore,3,38,Female,No,2,0
+Bachelors,2018,Bangalore,3,38,Male,No,1,1
+Bachelors,2017,Pune,2,40,Male,No,4,0
+Bachelors,2013,New Delhi,3,39,Male,No,5,0
+Bachelors,2014,New Delhi,3,33,Female,No,4,0
+Bachelors,2015,Pune,3,32,Female,No,3,1
+Bachelors,2013,Bangalore,3,39,Male,No,2,0
+Bachelors,2015,Bangalore,3,38,Female,No,4,0
+Bachelors,2013,Bangalore,3,38,Male,No,2,0
+Bachelors,2017,Bangalore,3,35,Male,No,0,0
+Bachelors,2017,Pune,3,31,Female,No,0,1
+Bachelors,2017,Bangalore,3,41,Male,No,5,0
+Bachelors,2013,New Delhi,3,38,Female,No,4,1
+Bachelors,2016,Bangalore,3,40,Male,Yes,1,0
+Bachelors,2018,Bangalore,3,36,Female,No,2,1
+PHD,2013,New Delhi,3,36,Male,No,3,1
+Bachelors,2014,Pune,3,41,Male,No,4,0
+Bachelors,2014,Bangalore,3,35,Male,Yes,1,0
+Bachelors,2017,Bangalore,3,38,Male,No,5,0
+Bachelors,2017,New Delhi,2,41,Female,No,0,0
+Bachelors,2012,Bangalore,1,34,Male,No,0,0
+Bachelors,2016,Bangalore,3,39,Female,No,3,1
+Bachelors,2014,Bangalore,3,37,Male,No,5,0
+Bachelors,2015,Pune,2,39,Female,Yes,0,1
+Bachelors,2013,Bangalore,3,31,Male,No,2,1
+Masters,2012,New Delhi,3,34,Female,No,3,0
+Bachelors,2015,Bangalore,3,39,Male,No,1,0
+Bachelors,2014,Pune,2,38,Female,No,3,1
+Bachelors,2012,Bangalore,3,34,Male,No,1,0
+Bachelors,2016,Bangalore,3,31,Female,No,2,0
+Bachelors,2016,Bangalore,3,39,Female,No,0,0
+Bachelors,2013,Bangalore,3,31,Female,No,1,0
+Bachelors,2012,Bangalore,3,36,Male,No,1,0
+Bachelors,2017,New Delhi,3,37,Male,No,0,0
+Bachelors,2015,Pune,1,38,Female,No,1,1
+PHD,2017,Pune,3,41,Male,No,2,0
+Bachelors,2018,Bangalore,3,32,Male,No,4,1
+Bachelors,2018,Pune,3,35,Male,No,0,1
+Bachelors,2017,Bangalore,3,35,Male,No,1,0
+Bachelors,2013,Bangalore,3,32,Male,No,1,0
+Bachelors,2015,Bangalore,3,31,Male,No,1,1
+Bachelors,2015,Bangalore,3,41,Male,No,4,0
+Bachelors,2012,Bangalore,3,33,Male,Yes,0,0
+Bachelors,2012,New Delhi,2,38,Female,No,1,1
+Masters,2012,Bangalore,3,39,Female,No,3,1
+Bachelors,2015,Bangalore,1,36,Female,No,2,0
+Masters,2017,Bangalore,2,31,Male,No,5,0
+Masters,2017,New Delhi,2,39,Female,No,2,1
+Masters,2017,New Delhi,3,41,Male,No,3,1
+PHD,2018,New Delhi,3,33,Female,No,0,1
+Bachelors,2015,Bangalore,3,38,Male,No,1,0
+Bachelors,2017,Pune,2,31,Male,No,0,0
+Bachelors,2014,Bangalore,3,34,Male,No,4,0
+Bachelors,2017,Bangalore,3,40,Male,No,2,0
+Bachelors,2012,Bangalore,3,36,Male,No,1,0
+Bachelors,2015,Bangalore,3,36,Female,No,2,0
+Bachelors,2017,New Delhi,2,41,Female,No,4,0
+Bachelors,2017,Bangalore,3,37,Male,No,3,0
+Bachelors,2017,New Delhi,3,33,Male,No,5,0
+Bachelors,2017,New Delhi,3,41,Female,No,4,0
+Bachelors,2017,Bangalore,3,37,Female,No,2,0
+Bachelors,2017,Pune,3,38,Male,Yes,5,0
+Bachelors,2015,Bangalore,3,34,Male,No,2,1
+Bachelors,2017,Pune,3,37,Female,No,0,0
+Bachelors,2014,Bangalore,3,34,Male,No,0,1
+Bachelors,2012,Pune,3,32,Male,No,1,0
+Masters,2012,New Delhi,3,35,Female,No,4,1
+Bachelors,2013,Pune,3,36,Male,No,3,0
+Bachelors,2015,Bangalore,3,34,Female,No,2,0
+Bachelors,2014,Bangalore,3,37,Female,No,3,0
+Bachelors,2016,Bangalore,3,40,Female,Yes,4,0
+Bachelors,2014,Pune,3,33,Male,No,4,0
+Bachelors,2016,Bangalore,3,39,Female,No,4,0
+Bachelors,2012,Bangalore,3,40,Male,No,4,0
+Bachelors,2013,Bangalore,1,34,Male,No,4,1
+Bachelors,2016,Pune,3,40,Male,No,5,0
+PHD,2013,Bangalore,3,32,Male,No,5,0
+Bachelors,2012,Bangalore,3,33,Male,No,1,0
+Bachelors,2017,New Delhi,1,31,Female,No,4,1
+Masters,2016,New Delhi,3,41,Female,No,4,0
+Bachelors,2016,Bangalore,3,34,Male,No,4,0
+Bachelors,2016,Bangalore,3,39,Male,No,7,0
+Bachelors,2014,Bangalore,3,35,Male,No,5,0
+Bachelors,2016,Pune,3,38,Female,No,7,0
+Bachelors,2016,Bangalore,3,33,Male,No,6,0
+Bachelors,2014,Pune,3,33,Male,No,6,0
+Bachelors,2012,Bangalore,3,35,Male,No,5,0
+PHD,2013,New Delhi,3,40,Male,No,5,0
+Bachelors,2012,Bangalore,3,40,Female,No,5,0
+Bachelors,2017,Bangalore,3,39,Male,No,5,0
+Bachelors,2017,Bangalore,3,33,Female,No,6,0
+Bachelors,2014,Bangalore,3,32,Female,No,5,0
+Masters,2014,Bangalore,3,40,Female,No,7,1
+Bachelors,2017,New Delhi,2,33,Male,No,6,0
+Masters,2016,New Delhi,1,31,Female,No,5,1
+Bachelors,2013,Bangalore,3,35,Female,No,5,0
+Bachelors,2014,Bangalore,3,39,Male,No,7,1
+Masters,2018,Bangalore,3,39,Female,No,6,1
+Masters,2017,Pune,2,38,Female,No,2,0
+Bachelors,2012,Bangalore,3,38,Male,No,7,1
+Masters,2017,New Delhi,2,40,Female,Yes,2,0
+Bachelors,2018,Bangalore,3,38,Male,No,6,1
+Bachelors,2013,Bangalore,3,34,Male,No,6,0
+Bachelors,2012,Bangalore,1,35,Male,No,7,0
+Masters,2013,New Delhi,1,41,Male,No,5,0
+PHD,2014,New Delhi,2,37,Female,No,5,0
+Bachelors,2015,Pune,3,34,Male,Yes,7,0
+Bachelors,2014,Bangalore,3,35,Male,Yes,5,0
+Bachelors,2013,Bangalore,1,38,Male,No,6,0
+Bachelors,2016,Bangalore,3,38,Female,No,7,0
+Bachelors,2015,Pune,2,41,Female,No,7,0
+Bachelors,2018,Bangalore,3,34,Male,No,5,1
+Bachelors,2017,Pune,2,22,Male,No,0,0
+Bachelors,2018,Bangalore,2,26,Female,No,4,1
+Bachelors,2012,Bangalore,3,22,Male,No,0,0
+Bachelors,2017,New Delhi,3,25,Female,No,3,0
+Bachelors,2016,Bangalore,3,29,Male,No,0,0
+Bachelors,2017,New Delhi,3,36,Female,No,0,0
+Bachelors,2014,Bangalore,3,37,Female,No,1,0
+Bachelors,2013,New Delhi,2,34,Female,No,4,1
+Bachelors,2012,Pune,3,34,Female,No,2,1
+Bachelors,2012,Bangalore,3,25,Female,No,3,1
+Bachelors,2012,Bangalore,3,31,Male,No,0,0
+Bachelors,2015,New Delhi,3,36,Female,No,2,0
+Bachelors,2016,Bangalore,3,31,Male,Yes,5,0
+Bachelors,2015,Bangalore,3,34,Male,No,4,0
+Masters,2014,New Delhi,3,28,Male,Yes,2,1
+Bachelors,2014,Bangalore,3,28,Male,No,2,0
+Bachelors,2015,Bangalore,3,31,Male,No,1,0
+Bachelors,2017,Bangalore,3,35,Male,No,5,0
+Bachelors,2012,Bangalore,1,28,Female,Yes,1,0
+Bachelors,2018,Bangalore,3,32,Female,No,2,1
+Bachelors,2013,Bangalore,3,23,Male,Yes,1,1
+Masters,2018,Pune,3,27,Male,No,5,1
+Bachelors,2017,Pune,3,25,Male,No,3,0
+Masters,2017,New Delhi,2,31,Female,No,2,0
+PHD,2018,New Delhi,3,34,Male,No,0,1
+Bachelors,2016,Bangalore,3,36,Female,No,2,0
+PHD,2017,New Delhi,3,40,Male,No,3,0
+Masters,2012,New Delhi,3,34,Female,No,2,0
+Bachelors,2018,Bangalore,3,37,Male,No,2,1
+Bachelors,2012,Bangalore,3,38,Male,No,3,0
+Bachelors,2017,New Delhi,2,22,Female,No,0,0
+Bachelors,2016,Pune,2,36,Female,No,0,1
+Bachelors,2013,New Delhi,2,35,Female,No,1,1
+Bachelors,2012,New Delhi,3,22,Female,No,0,0
+Bachelors,2016,Bangalore,3,22,Male,No,0,0
+Bachelors,2012,Bangalore,3,29,Male,No,4,0
+Bachelors,2017,Bangalore,3,34,Male,No,5,0
+Bachelors,2017,Bangalore,2,23,Male,No,1,0
+Bachelors,2014,Pune,2,32,Male,No,3,1
+Bachelors,2012,Pune,2,26,Female,No,4,1
+Masters,2017,Bangalore,3,38,Male,No,2,0
+Bachelors,2014,Pune,3,37,Male,No,4,0
+Bachelors,2017,New Delhi,2,25,Female,No,3,0
+Bachelors,2018,Pune,2,36,Female,No,5,1
+Bachelors,2016,Bangalore,3,26,Female,No,4,0
+Bachelors,2018,Pune,2,39,Female,No,4,1
+Bachelors,2016,Bangalore,3,24,Male,No,2,1
+Masters,2018,Pune,3,39,Male,No,2,1
+Masters,2018,New Delhi,3,39,Female,No,2,1
+Bachelors,2017,New Delhi,2,27,Female,No,5,0
+Bachelors,2013,Bangalore,3,36,Male,No,5,1
+Bachelors,2012,Bangalore,3,24,Male,No,2,0
+Bachelors,2017,Bangalore,3,28,Female,No,3,0
+Bachelors,2016,Bangalore,3,24,Male,No,2,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,New Delhi,3,23,Male,No,1,0
+Bachelors,2013,Bangalore,3,30,Female,No,5,0
+Bachelors,2014,Bangalore,3,22,Male,No,0,0
+Bachelors,2014,Pune,3,27,Male,No,5,0
+Masters,2017,New Delhi,3,32,Male,No,2,0
+Masters,2014,Pune,1,33,Female,No,1,0
+Masters,2017,New Delhi,3,26,Male,No,4,1
+Bachelors,2013,Pune,3,25,Female,Yes,3,1
+Masters,2017,New Delhi,2,23,Male,No,1,1
+Bachelors,2012,Pune,3,24,Male,No,2,0
+Bachelors,2014,Bangalore,3,33,Male,No,5,0
+Masters,2018,Bangalore,3,30,Male,Yes,2,1
+Masters,2017,New Delhi,2,27,Female,No,5,0
+Bachelors,2012,Pune,2,31,Female,No,5,1
+Masters,2018,New Delhi,3,23,Female,No,1,1
+Bachelors,2015,Bangalore,3,30,Male,No,2,0
+Bachelors,2015,Pune,2,32,Female,No,2,1
+Bachelors,2013,New Delhi,3,26,Female,Yes,4,0
+Masters,2017,New Delhi,2,35,Male,No,2,0
+Bachelors,2016,Bangalore,1,30,Male,No,4,1
+Bachelors,2012,Bangalore,3,37,Male,No,4,1
+Bachelors,2017,Bangalore,1,34,Male,Yes,0,0
+Bachelors,2012,Bangalore,3,38,Female,No,0,0
+Masters,2013,New Delhi,2,22,Male,Yes,0,1
+Bachelors,2015,Pune,1,22,Female,No,0,1
+Masters,2015,Pune,2,33,Female,No,2,1
+Bachelors,2015,Bangalore,3,32,Male,No,1,0
+Masters,2015,Pune,2,34,Female,No,2,0
+Bachelors,2017,Bangalore,3,36,Female,No,1,0
+Bachelors,2015,Bangalore,3,32,Male,No,1,0
+Bachelors,2017,Bangalore,3,28,Male,Yes,3,0
+Bachelors,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2013,Pune,3,35,Male,No,1,0
+Bachelors,2014,Pune,3,33,Male,No,4,0
+Masters,2013,Pune,3,22,Female,Yes,0,1
+Bachelors,2014,Pune,3,27,Male,No,5,1
+Masters,2018,New Delhi,3,23,Female,No,1,1
+Bachelors,2013,Bangalore,3,34,Female,Yes,2,0
+Masters,2017,Pune,2,23,Male,No,1,1
+Bachelors,2012,Pune,3,36,Male,No,4,0
+PHD,2018,New Delhi,3,28,Male,No,4,1
+PHD,2013,Bangalore,3,28,Male,No,4,0
+Bachelors,2016,Bangalore,3,33,Female,No,4,0
+Bachelors,2013,Bangalore,3,39,Male,No,3,0
+Bachelors,2015,New Delhi,3,25,Female,Yes,3,0
+Bachelors,2014,Pune,3,32,Male,No,2,0
+Bachelors,2015,Pune,3,23,Female,No,1,1
+Masters,2018,New Delhi,3,29,Male,No,2,1
+Bachelors,2013,Pune,2,24,Male,No,2,1
+Bachelors,2012,Bangalore,3,36,Female,No,2,1
+Bachelors,2018,Bangalore,3,40,Male,No,4,1
+Bachelors,2012,New Delhi,3,38,Female,No,1,0
+Bachelors,2014,Bangalore,3,22,Male,No,0,0
+Bachelors,2018,Bangalore,3,24,Male,No,2,1
+Bachelors,2012,Bangalore,3,37,Male,No,5,0
+Bachelors,2018,Pune,3,40,Male,No,3,1
+Bachelors,2018,Bangalore,3,32,Male,Yes,0,1
+Bachelors,2012,New Delhi,3,28,Female,No,1,0
+Bachelors,2016,Pune,3,29,Male,Yes,5,0
+Bachelors,2013,Pune,3,25,Male,No,3,0
+PHD,2013,Bangalore,3,35,Male,No,3,1
+Bachelors,2015,Bangalore,3,28,Male,No,0,1
+Bachelors,2012,Bangalore,3,39,Male,No,3,0
+Bachelors,2012,Pune,1,35,Male,No,1,0
+Bachelors,2017,Bangalore,3,37,Male,No,2,0
+Masters,2018,Pune,3,40,Female,No,2,1
+Bachelors,2018,Bangalore,3,23,Male,No,1,1
+Bachelors,2013,Pune,3,32,Male,No,2,0
+PHD,2018,New Delhi,3,37,Male,No,3,1
+Bachelors,2015,Bangalore,3,23,Female,No,1,0
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,36,Female,No,3,1
+Bachelors,2013,Bangalore,3,40,Female,No,3,0
+Bachelors,2015,New Delhi,3,22,Male,No,0,0
+Bachelors,2015,Bangalore,3,30,Male,No,0,0
+Bachelors,2014,Bangalore,3,30,Male,No,1,0
+Bachelors,2015,Pune,1,34,Female,No,3,1
+Bachelors,2018,Bangalore,3,27,Male,No,5,1
+Bachelors,2013,Bangalore,1,27,Female,No,5,0
+Bachelors,2017,Pune,2,27,Female,No,5,1
+Bachelors,2015,Bangalore,3,35,Female,No,1,1
+Bachelors,2014,New Delhi,3,33,Female,Yes,4,0
+Bachelors,2012,Bangalore,3,37,Male,No,4,0
+Bachelors,2014,New Delhi,3,40,Female,No,3,0
+Bachelors,2015,Pune,2,25,Female,No,3,1
+Bachelors,2017,Pune,2,34,Male,No,2,0
+Bachelors,2017,New Delhi,3,40,Male,No,1,0
+Masters,2018,New Delhi,3,34,Male,No,2,1
+Bachelors,2013,Pune,3,33,Male,No,5,0
+Bachelors,2016,Bangalore,3,22,Female,No,0,0
+Bachelors,2015,Pune,2,36,Female,No,1,1
+Bachelors,2012,Bangalore,3,38,Male,No,2,1
+Bachelors,2013,Pune,3,25,Female,No,3,0
+Bachelors,2017,Bangalore,3,37,Male,No,3,1
+Bachelors,2016,Bangalore,3,25,Female,No,3,0
+Bachelors,2015,Pune,2,40,Female,Yes,0,1
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Masters,2015,Pune,1,23,Female,No,1,0
+Bachelors,2014,Bangalore,3,22,Male,No,0,1
+Masters,2017,New Delhi,2,34,Male,Yes,2,0
+Masters,2017,New Delhi,3,35,Female,No,2,0
+Bachelors,2014,Pune,3,23,Male,No,1,0
+Bachelors,2015,Bangalore,3,29,Male,No,2,1
+Bachelors,2015,Pune,3,32,Female,No,1,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,28,Male,No,3,0
+Masters,2015,Pune,2,24,Female,No,2,0
+Bachelors,2017,Bangalore,3,33,Male,No,4,0
+PHD,2016,New Delhi,3,22,Male,No,0,0
+Masters,2015,Pune,2,39,Female,No,2,0
+Masters,2018,New Delhi,3,30,Female,Yes,2,1
+Bachelors,2014,Bangalore,3,38,Female,No,5,1
+Bachelors,2012,New Delhi,3,36,Female,No,4,0
+Bachelors,2012,Pune,2,38,Male,No,5,0
+Bachelors,2013,Bangalore,3,24,Male,Yes,2,0
+Bachelors,2016,Bangalore,3,28,Male,No,1,0
+Bachelors,2015,Bangalore,3,35,Female,No,0,1
+Bachelors,2013,New Delhi,3,23,Female,No,1,0
+Masters,2017,New Delhi,2,23,Female,No,1,1
+Bachelors,2013,Bangalore,3,37,Male,No,5,0
+Masters,2016,New Delhi,3,24,Male,No,2,1
+Bachelors,2014,Pune,3,33,Male,Yes,4,0
+Bachelors,2015,Bangalore,3,38,Female,No,5,0
+Bachelors,2015,Pune,3,40,Male,Yes,0,0
+Bachelors,2014,Bangalore,3,34,Male,No,4,0
+Masters,2017,New Delhi,2,26,Male,No,4,0
+Bachelors,2016,Pune,3,25,Male,No,3,0
+Bachelors,2016,Pune,3,24,Female,No,2,0
+Bachelors,2018,Bangalore,3,35,Male,Yes,5,1
+PHD,2013,New Delhi,3,27,Male,No,5,0
+Masters,2013,New Delhi,3,30,Female,No,3,0
+Bachelors,2015,Bangalore,3,26,Female,No,4,1
+Bachelors,2017,Bangalore,3,40,Male,No,0,0
+Masters,2017,Pune,2,27,Female,No,5,1
+Bachelors,2016,Pune,3,38,Male,Yes,0,0
+Bachelors,2014,New Delhi,3,34,Female,No,5,0
+Masters,2017,Pune,2,24,Male,No,2,0
+Bachelors,2016,Bangalore,3,38,Male,No,4,0
+Bachelors,2014,Pune,1,37,Male,No,1,0
+Bachelors,2015,Bangalore,3,22,Male,No,0,0
+Bachelors,2014,New Delhi,3,29,Female,No,2,1
+Bachelors,2014,Pune,1,37,Female,No,4,1
+Bachelors,2016,Pune,3,23,Male,No,1,0
+Bachelors,2012,New Delhi,3,34,Female,No,2,0
+Bachelors,2017,Bangalore,3,28,Male,No,2,0
+Bachelors,2012,Pune,3,24,Male,Yes,2,0
+Masters,2017,Bangalore,2,35,Female,No,0,0
+Bachelors,2015,Bangalore,3,30,Male,No,2,0
+Bachelors,2018,Bangalore,3,33,Male,No,4,1
+Bachelors,2015,Bangalore,3,27,Female,No,5,0
+Bachelors,2016,Bangalore,3,32,Male,No,4,0
+Bachelors,2014,Pune,3,36,Female,No,5,0
+Bachelors,2012,Bangalore,3,26,Male,Yes,4,0
+Bachelors,2012,Bangalore,1,35,Male,No,4,0
+PHD,2012,New Delhi,3,25,Male,No,3,0
+Masters,2013,Bangalore,2,29,Male,No,1,1
+Bachelors,2012,Bangalore,3,36,Female,No,3,0
+Bachelors,2013,Bangalore,3,30,Male,No,1,0
+Bachelors,2017,Pune,2,37,Female,No,4,1
+Bachelors,2016,Bangalore,3,40,Male,No,0,1
+Bachelors,2012,Bangalore,3,24,Male,No,2,0
+Bachelors,2012,Bangalore,3,32,Male,No,4,0
+Bachelors,2018,Pune,3,34,Male,No,0,1
+Bachelors,2014,Pune,3,29,Male,No,3,0
+Bachelors,2012,Bangalore,3,23,Female,No,1,1
+Bachelors,2017,Pune,3,23,Male,No,1,0
+Bachelors,2013,Bangalore,3,25,Female,No,3,0
+Bachelors,2012,New Delhi,1,31,Female,No,3,0
+Masters,2017,New Delhi,2,23,Male,No,1,1
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+PHD,2015,New Delhi,2,39,Female,No,5,0
+Bachelors,2016,Bangalore,3,33,Female,No,1,1
+Bachelors,2013,Bangalore,3,23,Male,No,1,0
+Masters,2017,New Delhi,2,34,Female,No,4,0
+Bachelors,2015,Pune,2,37,Female,No,1,1
+Bachelors,2012,Bangalore,3,23,Male,No,1,0
+Bachelors,2017,New Delhi,3,27,Male,No,5,0
+Masters,2017,Pune,2,38,Female,No,2,0
+Bachelors,2014,Bangalore,3,27,Female,No,5,0
+Bachelors,2016,Bangalore,3,22,Male,No,0,0
+Masters,2015,Pune,2,26,Female,No,4,1
+Bachelors,2012,Bangalore,3,40,Male,No,3,0
+Bachelors,2016,Bangalore,3,33,Female,No,3,0
+Bachelors,2014,Bangalore,3,31,Male,No,0,0
+Bachelors,2017,Pune,3,33,Male,No,4,0
+Bachelors,2015,New Delhi,3,30,Male,No,5,0
+Bachelors,2015,New Delhi,3,33,Female,No,5,1
+Masters,2017,New Delhi,3,33,Female,No,0,1
+Bachelors,2016,Pune,3,22,Male,No,0,0
+Bachelors,2012,Pune,3,28,Male,No,2,0
+Bachelors,2013,Bangalore,3,36,Male,No,4,0
+Bachelors,2017,New Delhi,2,36,Female,No,1,0
+Bachelors,2014,Pune,3,31,Female,No,2,0
+Bachelors,2013,Bangalore,2,25,Male,No,3,1
+Bachelors,2012,Pune,1,31,Male,No,4,0
+Masters,2015,Pune,2,39,Female,No,0,0
+Masters,2015,Bangalore,3,26,Male,No,4,1
+Bachelors,2017,Bangalore,2,25,Female,No,3,1
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,New Delhi,3,35,Female,No,0,0
+Bachelors,2013,Pune,2,28,Male,No,5,0
+Bachelors,2012,Bangalore,3,32,Female,No,0,0
+Masters,2017,New Delhi,2,22,Male,No,0,1
+Bachelors,2014,Pune,3,36,Female,No,5,1
+Bachelors,2015,Bangalore,3,38,Male,No,1,0
+Bachelors,2014,Bangalore,3,39,Female,No,1,0
+Masters,2017,New Delhi,2,25,Female,No,3,1
+Bachelors,2016,Pune,3,27,Male,No,5,0
+Masters,2014,Pune,3,38,Male,Yes,2,0
+Bachelors,2012,New Delhi,3,22,Female,No,0,0
+Bachelors,2013,Bangalore,3,33,Male,No,2,0
+Bachelors,2013,Pune,3,24,Male,No,2,0
+Bachelors,2014,Bangalore,3,37,Male,No,5,0
+Bachelors,2018,Pune,3,28,Male,Yes,0,1
+Masters,2017,Pune,3,32,Male,Yes,2,0
+PHD,2016,New Delhi,3,33,Male,No,0,1
+Bachelors,2014,New Delhi,3,32,Male,No,5,0
+Bachelors,2017,Bangalore,3,24,Male,No,2,1
+Bachelors,2016,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2012,Pune,2,35,Female,No,2,1
+PHD,2013,Bangalore,3,40,Male,No,1,0
+Bachelors,2017,New Delhi,2,34,Female,No,4,0
+Bachelors,2016,New Delhi,3,39,Female,No,0,0
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Masters,2015,Pune,2,29,Female,No,2,0
+Bachelors,2013,Bangalore,3,29,Male,No,4,0
+Bachelors,2015,Pune,2,23,Female,Yes,1,1
+Bachelors,2015,Pune,3,32,Male,No,0,0
+Bachelors,2014,Pune,3,28,Male,Yes,4,0
+Masters,2013,New Delhi,2,32,Male,Yes,2,1
+Bachelors,2012,New Delhi,3,32,Female,No,0,0
+Bachelors,2013,Bangalore,3,38,Male,No,0,0
+PHD,2017,Pune,3,30,Male,No,5,0
+PHD,2015,New Delhi,3,31,Male,No,3,0
+Bachelors,2012,Bangalore,3,25,Male,No,3,1
+Bachelors,2013,Bangalore,3,37,Female,No,4,0
+Masters,2017,New Delhi,2,27,Male,No,5,1
+Bachelors,2013,New Delhi,3,25,Female,No,3,0
+Bachelors,2015,Pune,2,22,Female,No,0,1
+Bachelors,2018,Bangalore,3,38,Male,No,2,1
+Bachelors,2015,New Delhi,3,22,Male,No,0,0
+Bachelors,2017,Pune,3,38,Male,No,2,0
+PHD,2015,New Delhi,1,38,Male,No,5,0
+Bachelors,2016,New Delhi,2,26,Female,No,4,1
+Masters,2017,New Delhi,2,31,Male,No,4,0
+Masters,2014,New Delhi,3,28,Male,No,5,0
+PHD,2017,New Delhi,3,34,Female,No,3,0
+Masters,2013,Bangalore,3,31,Male,No,2,0
+Bachelors,2014,New Delhi,3,26,Female,No,4,0
+Bachelors,2013,Pune,3,40,Female,No,1,1
+Bachelors,2016,Bangalore,3,31,Male,No,0,0
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Bachelors,2018,Pune,3,32,Female,No,1,1
+Bachelors,2012,Bangalore,3,33,Female,No,5,0
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,40,Male,No,0,0
+Masters,2013,New Delhi,3,31,Male,No,2,1
+Bachelors,2015,Bangalore,3,36,Male,No,1,0
+Bachelors,2014,Bangalore,3,31,Male,No,5,0
+Bachelors,2015,Pune,3,22,Male,No,0,0
+Bachelors,2016,Bangalore,3,34,Female,No,0,0
+PHD,2018,New Delhi,3,38,Female,No,5,1
+Bachelors,2015,Bangalore,3,23,Male,Yes,1,0
+PHD,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,34,Male,No,1,0
+Bachelors,2012,Bangalore,3,39,Male,No,3,0
+Bachelors,2018,Bangalore,3,24,Male,Yes,2,1
+Bachelors,2015,Pune,3,37,Female,No,1,1
+PHD,2013,New Delhi,3,23,Male,No,1,0
+Bachelors,2018,Bangalore,3,36,Male,No,3,1
+Bachelors,2014,New Delhi,3,23,Male,No,1,0
+Bachelors,2012,Pune,3,31,Male,No,3,0
+Bachelors,2015,Bangalore,3,22,Male,No,0,0
+Bachelors,2015,Pune,2,24,Female,No,2,1
+Bachelors,2018,Pune,2,28,Female,No,4,1
+Bachelors,2014,Pune,3,33,Male,No,3,0
+Bachelors,2018,Bangalore,3,35,Female,No,2,1
+Bachelors,2012,New Delhi,3,30,Female,Yes,1,0
+Bachelors,2014,Bangalore,3,28,Female,No,3,0
+Bachelors,2015,Bangalore,3,22,Male,Yes,0,0
+Bachelors,2014,Bangalore,3,38,Male,No,3,0
+Bachelors,2014,Pune,3,39,Male,No,4,0
+PHD,2012,Bangalore,1,38,Male,No,5,0
+Bachelors,2014,Bangalore,3,22,Female,No,0,1
+Bachelors,2014,New Delhi,3,36,Female,No,5,0
+Bachelors,2015,Bangalore,3,27,Male,No,5,0
+Bachelors,2016,Pune,1,32,Male,No,2,0
+Bachelors,2017,New Delhi,2,39,Female,No,2,0
+Bachelors,2015,Pune,2,36,Male,No,5,0
+Bachelors,2018,Bangalore,3,34,Male,Yes,5,1
+Bachelors,2015,Bangalore,3,28,Male,No,1,0
+Bachelors,2018,Bangalore,3,36,Female,Yes,1,1
+PHD,2015,New Delhi,3,22,Female,No,0,0
+Bachelors,2014,New Delhi,1,28,Female,No,5,0
+Bachelors,2016,Pune,2,27,Female,No,5,1
+Bachelors,2014,Bangalore,1,39,Female,No,4,0
+Bachelors,2012,Bangalore,3,31,Male,No,0,0
+Bachelors,2013,Bangalore,3,26,Male,Yes,4,0
+Bachelors,2012,Bangalore,3,31,Male,No,3,0
+Bachelors,2015,Pune,2,33,Female,No,2,1
+Bachelors,2017,Pune,2,38,Female,No,1,1
+Bachelors,2014,Pune,3,38,Male,No,2,0
+Bachelors,2012,Pune,3,32,Male,No,3,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Masters,2017,Pune,2,33,Female,No,2,0
+Bachelors,2015,Bangalore,3,34,Female,No,2,0
+Bachelors,2018,Pune,3,36,Male,Yes,1,1
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Masters,2017,Pune,2,27,Male,No,5,0
+Bachelors,2017,New Delhi,2,40,Female,No,5,0
+Masters,2012,Bangalore,3,31,Female,No,4,0
+Bachelors,2014,Bangalore,3,22,Male,No,0,0
+Masters,2017,New Delhi,2,22,Male,No,0,1
+Bachelors,2016,New Delhi,3,26,Female,No,4,0
+Bachelors,2017,New Delhi,3,28,Female,No,1,1
+Bachelors,2014,Bangalore,3,38,Male,Yes,5,0
+Masters,2015,Pune,3,31,Male,No,0,0
+Bachelors,2016,Bangalore,3,24,Male,No,2,0
+Bachelors,2015,Pune,2,25,Male,No,3,1
+PHD,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,40,Male,No,1,0
+Bachelors,2018,Pune,2,34,Female,No,4,1
+Bachelors,2016,Bangalore,3,32,Male,No,0,0
+Bachelors,2014,Pune,3,37,Male,No,1,0
+Bachelors,2015,Bangalore,3,33,Male,No,3,1
+Bachelors,2016,Pune,3,27,Male,No,5,0
+Bachelors,2012,New Delhi,3,36,Male,No,3,0
+Bachelors,2013,Bangalore,3,30,Female,No,4,0
+Masters,2017,Pune,2,26,Female,No,4,0
+Bachelors,2012,Bangalore,3,23,Male,Yes,1,0
+Masters,2015,Pune,2,31,Female,No,2,0
+Bachelors,2013,Bangalore,3,22,Male,Yes,0,0
+Masters,2017,New Delhi,2,24,Female,No,2,1
+Bachelors,2016,Bangalore,3,37,Female,Yes,4,0
+Masters,2018,New Delhi,3,35,Male,No,2,1
+Bachelors,2013,Bangalore,3,22,Male,No,0,1
+Bachelors,2012,Pune,3,35,Male,No,5,0
+Bachelors,2014,New Delhi,3,30,Female,No,3,0
+Bachelors,2014,Bangalore,3,30,Male,No,0,0
+Bachelors,2014,Pune,3,29,Male,No,3,0
+Masters,2017,Bangalore,3,36,Male,No,4,1
+Bachelors,2014,Bangalore,3,37,Male,No,4,0
+Bachelors,2016,Pune,3,40,Male,No,2,0
+Bachelors,2015,Pune,2,26,Female,No,4,1
+Masters,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2017,Bangalore,3,38,Male,No,3,0
+Bachelors,2014,Bangalore,3,31,Male,No,3,1
+Bachelors,2014,Bangalore,3,22,Female,No,0,0
+Bachelors,2012,Pune,3,34,Male,No,0,0
+Bachelors,2015,New Delhi,3,31,Female,No,0,0
+Bachelors,2012,Bangalore,3,39,Female,No,3,0
+Masters,2018,New Delhi,3,33,Female,No,2,1
+Bachelors,2015,Bangalore,3,33,Male,No,4,0
+Bachelors,2012,Bangalore,3,38,Male,No,4,0
+Bachelors,2017,Pune,2,22,Female,No,0,1
+Bachelors,2014,Pune,2,32,Female,No,0,1
+Bachelors,2014,Pune,3,34,Male,No,5,0
+Bachelors,2014,Bangalore,1,31,Female,No,5,0
+Bachelors,2016,Bangalore,3,23,Male,No,1,0
+Bachelors,2013,Pune,2,39,Female,No,1,1
+Bachelors,2017,New Delhi,3,26,Male,No,4,0
+Bachelors,2013,Pune,2,33,Female,Yes,4,1
+Bachelors,2013,Bangalore,3,27,Female,No,5,0
+PHD,2018,New Delhi,3,24,Male,No,2,1
+Bachelors,2017,Bangalore,3,38,Male,No,1,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2014,Bangalore,3,27,Female,No,5,0
+Bachelors,2015,Bangalore,3,23,Male,No,1,0
+Bachelors,2014,New Delhi,3,26,Female,No,4,0
+Bachelors,2016,Bangalore,3,31,Male,No,5,0
+Bachelors,2017,Bangalore,3,32,Female,No,3,0
+Bachelors,2015,Pune,2,36,Female,No,3,1
+Bachelors,2017,Bangalore,3,28,Male,No,0,0
+Bachelors,2017,New Delhi,2,31,Male,No,3,0
+Masters,2017,New Delhi,2,36,Female,No,3,0
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,1
+Bachelors,2017,Bangalore,3,28,Male,No,3,1
+Bachelors,2015,Pune,3,39,Female,No,2,1
+Bachelors,2013,Bangalore,3,23,Female,No,1,0
+Bachelors,2014,Bangalore,3,32,Male,No,1,0
+Masters,2013,New Delhi,3,33,Female,No,2,0
+Bachelors,2017,New Delhi,3,39,Female,No,4,0
+Masters,2017,Bangalore,2,24,Female,No,2,0
+Bachelors,2016,Pune,3,33,Male,No,2,0
+Bachelors,2016,Pune,2,29,Female,No,4,1
+Masters,2017,Pune,3,24,Female,No,2,1
+Masters,2015,Pune,3,27,Female,No,5,1
+Masters,2013,New Delhi,2,35,Female,No,2,1
+Bachelors,2015,Pune,2,28,Female,No,2,1
+Bachelors,2016,Bangalore,3,22,Male,No,0,0
+Bachelors,2013,Bangalore,3,39,Male,No,5,1
+Bachelors,2014,Bangalore,3,36,Female,No,3,1
+Bachelors,2017,New Delhi,2,40,Female,No,3,0
+Bachelors,2012,New Delhi,3,35,Female,No,5,0
+Bachelors,2016,Bangalore,3,33,Male,No,4,0
+PHD,2018,Bangalore,3,33,Male,No,2,1
+Bachelors,2012,Bangalore,3,23,Male,No,1,0
+Bachelors,2014,Bangalore,3,28,Male,No,2,1
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,26,Female,No,4,0
+Bachelors,2014,Bangalore,3,33,Male,No,3,0
+Bachelors,2016,Bangalore,3,35,Male,No,3,0
+Bachelors,2013,Bangalore,3,33,Male,No,3,1
+Bachelors,2013,Pune,3,36,Female,No,0,1
+Bachelors,2015,New Delhi,3,26,Male,No,4,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,39,Female,No,5,0
+Bachelors,2013,Bangalore,3,28,Male,No,5,0
+Bachelors,2018,Bangalore,3,24,Male,No,2,1
+Bachelors,2012,Bangalore,3,36,Female,No,4,0
+Bachelors,2016,Bangalore,3,33,Male,No,0,0
+Bachelors,2013,Pune,1,33,Female,No,0,1
+Masters,2017,Pune,2,30,Male,Yes,2,1
+Masters,2012,New Delhi,3,27,Male,No,5,1
+Bachelors,2015,Bangalore,3,33,Male,Yes,4,0
+Bachelors,2016,Pune,2,35,Female,No,4,1
+Bachelors,2014,Pune,2,40,Female,No,0,1
+Bachelors,2017,Pune,2,25,Male,No,3,0
+Bachelors,2014,Bangalore,3,38,Male,No,2,0
+Bachelors,2017,New Delhi,2,40,Male,No,5,0
+Bachelors,2014,Bangalore,3,29,Male,Yes,0,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,40,Male,No,4,0
+Masters,2017,New Delhi,2,25,Female,No,3,1
+Bachelors,2016,Pune,2,39,Female,No,3,1
+Bachelors,2017,New Delhi,2,22,Male,No,0,1
+PHD,2015,Pune,2,35,Female,No,0,0
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Bachelors,2014,New Delhi,2,25,Female,No,3,1
+Bachelors,2015,Bangalore,3,29,Female,No,1,0
+Masters,2017,New Delhi,1,37,Male,No,0,0
+Bachelors,2014,Bangalore,3,35,Male,No,1,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Masters,2018,New Delhi,3,26,Male,No,4,1
+Bachelors,2013,Bangalore,3,24,Male,No,2,0
+Bachelors,2014,Bangalore,3,31,Male,No,0,0
+Bachelors,2014,Bangalore,3,34,Male,No,5,0
+Masters,2018,New Delhi,3,27,Female,Yes,5,1
+Bachelors,2016,Pune,3,35,Male,No,1,0
+Bachelors,2017,Pune,3,27,Male,No,5,0
+Masters,2017,New Delhi,3,34,Male,No,1,1
+Bachelors,2018,Bangalore,3,40,Female,No,4,1
+Bachelors,2012,Pune,3,39,Male,No,4,0
+Bachelors,2013,Pune,1,39,Female,Yes,0,1
+Bachelors,2015,Bangalore,3,22,Male,No,0,1
+Masters,2017,Pune,2,33,Male,Yes,2,0
+Bachelors,2014,Bangalore,3,39,Male,No,0,0
+Bachelors,2017,Bangalore,3,39,Male,No,3,0
+Bachelors,2017,Bangalore,3,40,Female,No,3,0
+Bachelors,2014,Bangalore,3,38,Female,No,1,0
+Bachelors,2018,New Delhi,3,36,Female,Yes,2,1
+Bachelors,2013,Pune,2,37,Male,Yes,5,0
+Bachelors,2017,Pune,2,33,Female,No,2,1
+Bachelors,2013,Bangalore,3,37,Female,No,2,1
+Bachelors,2013,Pune,3,34,Male,No,5,0
+Bachelors,2015,Bangalore,3,28,Male,No,2,0
+Bachelors,2018,Bangalore,3,31,Male,Yes,0,1
+Masters,2012,New Delhi,3,37,Male,No,4,0
+Bachelors,2018,Pune,3,26,Male,No,4,1
+Masters,2014,New Delhi,3,34,Female,No,1,1
+Bachelors,2015,Pune,3,39,Male,No,1,0
+Bachelors,2017,Pune,2,23,Female,No,1,1
+Bachelors,2013,Bangalore,3,35,Female,No,4,0
+Bachelors,2015,Pune,3,25,Male,No,3,0
+Bachelors,2013,Pune,2,38,Male,No,0,1
+Masters,2017,New Delhi,1,23,Male,No,1,0
+Masters,2017,New Delhi,3,26,Male,No,4,1
+Masters,2018,New Delhi,3,33,Female,No,2,1
+Bachelors,2015,Pune,2,37,Female,No,4,1
+Bachelors,2013,Bangalore,3,35,Male,No,5,0
+Bachelors,2013,Bangalore,3,23,Female,Yes,1,0
+Bachelors,2013,Pune,3,31,Male,No,2,0
+Bachelors,2017,Bangalore,3,24,Male,Yes,2,0
+Bachelors,2015,Bangalore,3,28,Male,No,3,0
+Bachelors,2013,Pune,2,37,Female,No,0,1
+Bachelors,2012,Bangalore,3,36,Female,No,1,0
+Bachelors,2015,Bangalore,3,28,Male,No,1,1
+Bachelors,2017,New Delhi,2,30,Male,No,5,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Masters,2015,Pune,2,29,Female,No,1,0
+Masters,2018,New Delhi,3,39,Female,No,2,1
+Bachelors,2013,Pune,2,36,Male,No,4,0
+Bachelors,2015,Pune,3,36,Male,No,3,0
+Bachelors,2012,Bangalore,3,22,Male,No,0,1
+Masters,2017,New Delhi,3,31,Male,No,2,0
+PHD,2017,New Delhi,3,29,Male,No,3,0
+Bachelors,2014,Pune,3,37,Female,No,4,1
+Bachelors,2012,Bangalore,3,24,Male,No,2,0
+Bachelors,2015,Pune,2,28,Female,Yes,2,1
+PHD,2016,New Delhi,3,22,Male,No,0,0
+Bachelors,2015,Bangalore,3,31,Male,No,2,1
+Bachelors,2013,Pune,2,28,Female,No,3,1
+Bachelors,2014,Bangalore,3,22,Female,No,0,0
+Bachelors,2016,Bangalore,3,23,Male,No,1,0
+Bachelors,2016,New Delhi,1,25,Female,Yes,3,0
+Bachelors,2013,Pune,1,23,Female,No,1,1
+Bachelors,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2015,Pune,2,22,Female,No,0,1
+Bachelors,2015,Bangalore,3,38,Female,No,2,0
+Bachelors,2017,Bangalore,3,25,Female,No,3,0
+Bachelors,2017,New Delhi,3,37,Female,No,1,1
+PHD,2012,New Delhi,3,30,Male,No,4,0
+Bachelors,2012,Bangalore,3,35,Female,No,2,0
+PHD,2014,Bangalore,3,23,Male,No,1,0
+Masters,2017,New Delhi,2,25,Female,No,3,0
+Bachelors,2015,Bangalore,3,39,Female,No,0,0
+PHD,2013,Pune,1,32,Female,No,0,1
+Bachelors,2015,Pune,3,28,Female,No,1,1
+Bachelors,2015,New Delhi,3,23,Female,No,1,0
+PHD,2014,Bangalore,1,34,Female,No,3,0
+Bachelors,2014,Bangalore,1,36,Female,No,1,0
+Bachelors,2017,Bangalore,3,40,Male,No,5,0
+Bachelors,2016,Bangalore,3,40,Male,No,3,0
+Bachelors,2015,Bangalore,3,25,Female,No,3,1
+Bachelors,2013,Bangalore,3,22,Male,No,0,1
+Bachelors,2015,Bangalore,3,34,Male,No,4,0
+Bachelors,2017,Bangalore,3,23,Male,No,1,0
+Bachelors,2017,Bangalore,3,24,Female,No,2,0
+Bachelors,2015,Bangalore,1,35,Male,No,3,0
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2017,Pune,3,28,Male,No,3,0
+Masters,2017,New Delhi,2,39,Female,No,4,0
+PHD,2017,New Delhi,3,31,Female,No,5,0
+Bachelors,2014,Bangalore,3,32,Male,No,2,0
+Bachelors,2017,New Delhi,2,37,Female,No,3,0
+Bachelors,2014,Pune,1,22,Female,No,0,1
+Bachelors,2015,Bangalore,3,32,Female,No,4,0
+Bachelors,2016,Bangalore,3,37,Male,No,2,0
+Bachelors,2014,Bangalore,3,36,Male,No,3,0
+Bachelors,2013,Pune,3,24,Male,Yes,2,0
+Masters,2017,New Delhi,3,40,Male,No,2,0
+Bachelors,2014,Bangalore,3,39,Male,No,3,0
+Bachelors,2013,Bangalore,3,24,Male,No,2,0
+Bachelors,2016,Bangalore,3,25,Male,No,3,0
+Bachelors,2018,Bangalore,3,26,Male,No,4,1
+Bachelors,2017,New Delhi,2,33,Male,No,3,0
+Bachelors,2016,Pune,3,36,Male,Yes,3,0
+Bachelors,2015,Pune,1,39,Male,No,1,1
+Bachelors,2014,Bangalore,3,34,Male,No,4,0
+Bachelors,2014,New Delhi,2,23,Female,No,1,1
+Bachelors,2014,Pune,1,33,Female,No,2,1
+Bachelors,2013,Bangalore,3,31,Male,No,3,0
+Bachelors,2015,Bangalore,3,39,Female,No,0,0
+Bachelors,2017,Bangalore,3,36,Male,No,4,1
+Bachelors,2015,Bangalore,3,28,Male,No,1,0
+Bachelors,2013,New Delhi,3,28,Female,No,0,1
+Masters,2017,New Delhi,2,24,Male,No,2,1
+Bachelors,2013,Bangalore,3,36,Female,No,0,1
+Bachelors,2014,Bangalore,3,30,Male,No,1,1
+Bachelors,2018,New Delhi,3,27,Female,No,5,1
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Bachelors,2018,Bangalore,3,31,Male,No,0,1
+Bachelors,2013,Bangalore,3,36,Male,No,0,0
+Bachelors,2017,New Delhi,2,31,Male,No,1,0
+Bachelors,2016,Bangalore,3,37,Male,No,2,0
+Bachelors,2015,Bangalore,3,39,Male,No,2,0
+Bachelors,2014,Bangalore,3,28,Male,No,4,0
+Bachelors,2015,Pune,2,38,Male,No,2,1
+Masters,2017,New Delhi,3,40,Female,No,1,0
+Masters,2015,Bangalore,3,38,Female,No,1,0
+PHD,2014,New Delhi,3,23,Male,No,1,0
+Bachelors,2015,Bangalore,3,39,Male,No,2,0
+Bachelors,2014,Pune,1,22,Female,No,0,1
+Bachelors,2015,Pune,3,24,Female,No,2,1
+Masters,2014,New Delhi,3,24,Male,No,2,0
+Bachelors,2012,Bangalore,3,23,Female,No,1,1
+Bachelors,2014,Bangalore,3,30,Male,No,4,0
+Bachelors,2016,New Delhi,3,25,Female,No,3,0
+Bachelors,2013,Bangalore,3,34,Male,No,4,0
+Masters,2015,New Delhi,3,40,Female,No,5,0
+Bachelors,2012,Bangalore,3,39,Female,No,1,0
+Masters,2017,New Delhi,3,38,Female,No,2,1
+Bachelors,2016,Pune,3,38,Male,No,2,0
+Bachelors,2015,Pune,2,38,Female,No,4,1
+Bachelors,2015,Bangalore,3,31,Male,No,5,0
+Bachelors,2017,Pune,1,30,Male,No,4,0
+PHD,2013,Bangalore,3,24,Male,No,2,0
+Bachelors,2017,Bangalore,3,38,Male,No,3,0
+Bachelors,2013,Pune,3,37,Male,No,3,0
+Bachelors,2016,Bangalore,3,22,Male,No,0,0
+PHD,2012,Bangalore,3,30,Female,No,4,0
+Bachelors,2013,Bangalore,3,39,Female,No,5,0
+Bachelors,2017,Bangalore,2,35,Male,No,0,0
+Bachelors,2012,Pune,3,25,Female,No,3,1
+Bachelors,2018,Bangalore,3,32,Male,Yes,1,1
+Bachelors,2018,Bangalore,3,31,Female,No,2,1
+Bachelors,2016,Bangalore,3,37,Male,No,2,0
+Bachelors,2016,New Delhi,1,38,Female,No,2,1
+Bachelors,2014,Bangalore,3,22,Female,No,0,0
+Masters,2014,New Delhi,3,37,Female,No,0,1
+Bachelors,2018,Bangalore,3,32,Male,Yes,2,1
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,28,Male,No,0,1
+Bachelors,2015,Bangalore,3,35,Male,No,0,0
+Bachelors,2016,Bangalore,1,33,Female,No,0,1
+Bachelors,2012,Bangalore,3,36,Female,No,4,0
+Bachelors,2013,Bangalore,3,31,Female,No,5,0
+Bachelors,2015,Pune,3,32,Female,Yes,1,1
+Masters,2017,Pune,2,31,Female,No,2,0
+Bachelors,2013,Bangalore,3,25,Female,No,3,0
+Bachelors,2016,Pune,3,30,Male,No,2,0
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Masters,2013,Pune,2,37,Male,No,2,1
+Masters,2018,New Delhi,3,27,Male,No,5,1
+Bachelors,2012,Bangalore,3,30,Male,Yes,2,0
+Bachelors,2015,Bangalore,3,33,Male,Yes,4,0
diff --git a/evadb/configuration/constants.py b/evadb/configuration/constants.py
index 18a1331f83..3665a28727 100644
--- a/evadb/configuration/constants.py
+++ b/evadb/configuration/constants.py
@@ -35,3 +35,4 @@
 DEFAULT_DOCUMENT_CHUNK_SIZE = 4000
 DEFAULT_DOCUMENT_CHUNK_OVERLAP = 200
 DEFAULT_TRAIN_REGRESSION_METRIC = "rmse"
+DEFAULT_XGBOOST_TASK = "regression"
diff --git a/evadb/executor/create_function_executor.py b/evadb/executor/create_function_executor.py
index d045205a65..9f5d46e8be 100644
--- a/evadb/executor/create_function_executor.py
+++ b/evadb/executor/create_function_executor.py
@@ -30,6 +30,7 @@
 from evadb.configuration.constants import (
     DEFAULT_TRAIN_REGRESSION_METRIC,
     DEFAULT_TRAIN_TIME_LIMIT,
+    DEFAULT_XGBOOST_TASK,
     EvaDB_INSTALLATION_DIR,
 )
 from evadb.database import EvaDBDatabase
@@ -238,7 +239,7 @@ def handle_xgboost_function(self):
             "time_budget": arg_map.get("time_limit", DEFAULT_TRAIN_TIME_LIMIT),
             "metric": arg_map.get("metric", DEFAULT_TRAIN_REGRESSION_METRIC),
             "estimator_list": ["xgboost"],
-            "task": "regression",
+            "task": arg_map.get("task", DEFAULT_XGBOOST_TASK),
         }
         model.fit(
             dataframe=aggregated_batch.frames, label=arg_map["predict"], **settings
diff --git a/test/integration_tests/long/test_model_train.py b/test/integration_tests/long/test_model_train.py
index 85e508f4d1..d1e9de11e8 100644
--- a/test/integration_tests/long/test_model_train.py
+++ b/test/integration_tests/long/test_model_train.py
@@ -47,6 +47,25 @@ def setUpClass(cls):
         load_query = f"LOAD CSV '{path}' INTO HomeRentals;"
         execute_query_fetch_all(cls.evadb, load_query)
 
+        # Load data for classification tasks.
+        create_table_query = """
+           CREATE TABLE IF NOT EXISTS Employee (
+               education TEXT(128),
+               joining_year INTEGER,
+               city TEXT(128),
+               payment_tier INTEGER,
+               age INTEGER,
+               gender TEXT(128),
+               ever_benched TEXT(128),
+               experience_in_current_domain INTEGER,
+               leave_or_not INTEGER
+           );"""
+        execute_query_fetch_all(cls.evadb, create_table_query)
+
+        path = f"{EvaDB_ROOT_DIR}/data/classification/Employee.csv"
+        load_query = f"LOAD CSV '{path}' INTO Employee;"
+        execute_query_fetch_all(cls.evadb, load_query)
+
     @classmethod
     def tearDownClass(cls):
         shutdown_ray()
@@ -103,7 +122,8 @@ def test_xgboost_regression(self):
             TYPE XGBoost
             PREDICT 'rental_price'
             TIME_LIMIT 180
-            METRIC 'r2';
+            METRIC 'r2'
+            TASK 'regression';
         """
         execute_query_fetch_all(self.evadb, create_predict_function)
 
@@ -114,6 +134,27 @@ def test_xgboost_regression(self):
         self.assertEqual(len(result.columns), 1)
         self.assertEqual(len(result), 10)
 
+    @xgboost_skip_marker
+    def test_xgboost_classification(self):
+        create_predict_function = """
+            CREATE FUNCTION IF NOT EXISTS PredictEmployee FROM
+            ( SELECT payment_tier, age, gender, experience_in_current_domain, leave_or_not FROM Employee )
+            TYPE XGBoost
+            PREDICT 'leave_or_not'
+            TIME_LIMIT 180
+            METRIC 'accuracy'
+            TASK 'classification';
+        """
+        execute_query_fetch_all(self.evadb, create_predict_function)
+
+        predict_query = """
+            SELECT PredictEmployee(payment_tier, age, gender, experience_in_current_domain, leave_or_not) FROM Employee LIMIT 10;
+        """
+        result = execute_query_fetch_all(self.evadb, predict_query)
+        print(result)
+        self.assertEqual(len(result.columns), 1)
+        self.assertEqual(len(result), 10)
+
 
 if __name__ == "__main__":
     unittest.main()

From 0ab5ff85dcb545f395be5f04e7bf84b0e7e2e26a Mon Sep 17 00:00:00 2001
From: Jineet Desai <jdesai61@gatech.edu>
Date: Thu, 19 Oct 2023 16:48:59 -0400
Subject: [PATCH 13/64] Adding doc changes

---
 .../reference/ai/model-train-xgboost.rst      | 40 ++++++++++++++++++-
 .../long/test_model_train.py                  |  1 -
 2 files changed, 39 insertions(+), 2 deletions(-)

diff --git a/docs/source/reference/ai/model-train-xgboost.rst b/docs/source/reference/ai/model-train-xgboost.rst
index b53c87d489..4f2c18ddde 100644
--- a/docs/source/reference/ai/model-train-xgboost.rst
+++ b/docs/source/reference/ai/model-train-xgboost.rst
@@ -23,4 +23,42 @@ To use the `Flaml XGBoost AutoML framework <https://microsoft.github.io/FLAML/do
    PREDICT 'rental_price';
 
 In the above query, you are creating a new customized function by training a model from the ``HomeRentals`` table using the ``Flaml XGBoost`` framework.
-The ``rental_price`` column will be the target column for predication, while the rest columns from the ``SELET`` query are the inputs. 
+The ``rental_price`` column will be the target column for predication, while the rest columns from the ``SELET`` query are the inputs.
+
+3. Model Training Parameters
+----------------------------
+
+.. list-table:: Available Parameters
+   :widths: 25 75
+
+   * - PREDICT (**required**)
+     - The name of the column we wish to predict.
+   * - TIME_LIMIT
+     - Time limit to train the model in seconds. Default: 120.
+   * - TASK
+     - Specify whether you want to perform ``regression`` task or ``classification`` task.
+   * - METRIC
+     - Specify the metric that you want to use to train your model. For e.g. for training ``regression`` tasks you could
+       use the ``r2`` or ``RMSE`` metrics. For training ``classification`` tasks you could use the ``accuracy`` or ``f1_score`` metrics.
+
+Below are the example queries specifying the aboe parameters
+
+.. code-block:: sql
+
+   CREATE FUNCTION IF NOT EXISTS PredictRent FROM
+   ( SELECT number_of_rooms, number_of_bathrooms, days_on_market, rental_price FROM HomeRentals )
+   TYPE XGBoost
+   PREDICT 'rental_price'
+   TIME_LIMIT 180
+   METRIC 'r2'
+   TASK 'regression';
+
+.. code-block:: sql
+
+   CREATE FUNCTION IF NOT EXISTS PredictEmployee FROM
+   ( SELECT payment_tier, age, gender, experience_in_current_domain, leave_or_not FROM Employee )
+   TYPE XGBoost
+   PREDICT 'leave_or_not'
+   TIME_LIMIT 180
+   METRIC 'accuracy'
+   TASK 'classification';
diff --git a/test/integration_tests/long/test_model_train.py b/test/integration_tests/long/test_model_train.py
index d1e9de11e8..20ed0c5c52 100644
--- a/test/integration_tests/long/test_model_train.py
+++ b/test/integration_tests/long/test_model_train.py
@@ -151,7 +151,6 @@ def test_xgboost_classification(self):
             SELECT PredictEmployee(payment_tier, age, gender, experience_in_current_domain, leave_or_not) FROM Employee LIMIT 10;
         """
         result = execute_query_fetch_all(self.evadb, predict_query)
-        print(result)
         self.assertEqual(len(result.columns), 1)
         self.assertEqual(len(result), 10)
 

From 3c250299c9492010e751bcbea792f95b6bf301e6 Mon Sep 17 00:00:00 2001
From: Ankith Reddy Chitti <chittiankith@gmail.com>
Date: Mon, 23 Oct 2023 19:58:01 -0400
Subject: [PATCH 14/64] Added note

---
 docs/source/overview/connect-to-data-sources.rst | 4 +---
 docs/source/reference/databases/sqlite.rst       | 4 +++-
 docs/source/usecases/classification.rst          | 4 ++++
 docs/source/usecases/forecasting.rst             | 4 ++++
 docs/source/usecases/sentiment-analysis.rst      | 4 ++++
 5 files changed, 16 insertions(+), 4 deletions(-)

diff --git a/docs/source/overview/connect-to-data-sources.rst b/docs/source/overview/connect-to-data-sources.rst
index 8f7526ae36..e89adcfeec 100644
--- a/docs/source/overview/connect-to-data-sources.rst
+++ b/docs/source/overview/connect-to-data-sources.rst
@@ -8,9 +8,7 @@ Connect to an Existing SQL Database System
 
 .. note::
 
-   Connecting to an existing SQL database is unnecessary for inserting or querying data in Eva. This step is only required if
-   users intend to work with data already present in some SQL DB. Eva has native storage support for SQLite, which can be utilized without
-   establishing any connection. Refer to :ref:`EvaQL<evaql>` page for more details.
+   For prototyping, users can opt to establish a connection to :ref:`SQLite<sqlite>`.
 
 1. Use the :ref:`CREATE DATABASE<create-database>` statement to connect to an **existing** SQL database.
 
diff --git a/docs/source/reference/databases/sqlite.rst b/docs/source/reference/databases/sqlite.rst
index af90051009..49fc63d187 100644
--- a/docs/source/reference/databases/sqlite.rst
+++ b/docs/source/reference/databases/sqlite.rst
@@ -1,3 +1,5 @@
+.. _sqlite:
+
 SQLite
 ==========
 
@@ -16,7 +18,7 @@ Required:
 
 * `database` is the path to the database file to be opened. You can pass ":memory:" to create an SQLite database existing only in memory, and open a connection to it.
 
-.. warning:: 
+.. note:: 
 
      If the ``database`` parameter is specified, EvaDB connects to the already existing ``sqlite`` database specified. Otherwise, it automatically creates a new ``sqlite`` database named ``evadb.db``.
 
diff --git a/docs/source/usecases/classification.rst b/docs/source/usecases/classification.rst
index a1fb192d92..1fbb2823d9 100644
--- a/docs/source/usecases/classification.rst
+++ b/docs/source/usecases/classification.rst
@@ -31,6 +31,10 @@ In this tutorial, we present how to to create and train a machine learning model
 We will assume that the input data is loaded into a ``PostgreSQL`` database. 
 To load the home rental data into your database, see the complete `home rental prediction notebook on Colab <https://colab.research.google.com/github/georgia-tech-db/eva/blob/staging/tutorials/17-home-rental-prediction.ipynb>`_.
 
+.. note::
+
+   For prototyping, users can opt to establish a connection to :ref:`SQLite<sqlite>`.
+
 Preview the Home Rental Price Data
 ----------------------------------
 
diff --git a/docs/source/usecases/forecasting.rst b/docs/source/usecases/forecasting.rst
index 8f7bb8575b..d6f1b62bc4 100644
--- a/docs/source/usecases/forecasting.rst
+++ b/docs/source/usecases/forecasting.rst
@@ -31,6 +31,10 @@ In this tutorial, we present how to create and train a machine learning model fo
 We will assume that the input data is loaded into a ``PostgreSQL`` database. 
 To load the home sales dataset into your database, see the complete `home sale forecasting notebook on Colab <https://colab.research.google.com/github/georgia-tech-db/eva/blob/staging/tutorials/16-homesale-forecasting.ipynb>`_.
 
+.. note::
+
+   For prototyping, users can opt to establish a connection to :ref:`SQLite<sqlite>`.
+
 Preview the Home Sale Price Data
 --------------------------------
 
diff --git a/docs/source/usecases/sentiment-analysis.rst b/docs/source/usecases/sentiment-analysis.rst
index a7dfeb2d98..74d6eade77 100644
--- a/docs/source/usecases/sentiment-analysis.rst
+++ b/docs/source/usecases/sentiment-analysis.rst
@@ -31,6 +31,10 @@ To load the food review data into your database, see the complete `sentiment ana
 
 .. include:: ../shared/postgresql.rst
 
+.. note::
+
+   For prototyping, users can opt to establish a connection to :ref:`SQLite<sqlite>`.
+
 Sentiment Analysis of Reviews using ChatGPT
 -------------------------------------------
 

From d25b22876e28b78c45b95351b5708d7505213a50 Mon Sep 17 00:00:00 2001
From: Ankith Reddy Chitti <chittiankith@gmail.com>
Date: Mon, 23 Oct 2023 19:59:12 -0400
Subject: [PATCH 15/64] Minor Fix

---
 docs/source/overview/connect-to-data-sources.rst | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/docs/source/overview/connect-to-data-sources.rst b/docs/source/overview/connect-to-data-sources.rst
index e89adcfeec..e3ae055683 100644
--- a/docs/source/overview/connect-to-data-sources.rst
+++ b/docs/source/overview/connect-to-data-sources.rst
@@ -6,10 +6,6 @@ EvaDB supports a wide range of data sources including SQL database systems, obje
 Connect to an Existing SQL Database System
 ------------------------------------------
 
-.. note::
-
-   For prototyping, users can opt to establish a connection to :ref:`SQLite<sqlite>`.
-
 1. Use the :ref:`CREATE DATABASE<create-database>` statement to connect to an **existing** SQL database.
 
 .. code-block::
@@ -28,6 +24,10 @@ Connect to an Existing SQL Database System
 
    Go over the :ref:`CREATE DATABASE<create-database>` statement for more details. The :ref:`Databases<databases>` page lists all the database systems that EvaDB currently supports.
 
+.. note::
+
+   For prototyping, users can opt to establish a connection to :ref:`SQLite<sqlite>`.
+
 2. Preview the data using ``SELECT``
 
 You can now preview the data stored in the ``food_review`` table in the ``restaurant_reviews`` database with a :ref:`SELECT<select>` statement.

From 81ab7a37e5429cce57995279ab34319a5dd06de8 Mon Sep 17 00:00:00 2001
From: Jineet Desai <jdesai61@gatech.edu>
Date: Mon, 23 Oct 2023 22:54:04 -0400
Subject: [PATCH 16/64] Make the config related changes

---
 evadb/executor/create_function_executor.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/evadb/executor/create_function_executor.py b/evadb/executor/create_function_executor.py
index 9f5d46e8be..52a3f17c9f 100644
--- a/evadb/executor/create_function_executor.py
+++ b/evadb/executor/create_function_executor.py
@@ -245,7 +245,8 @@ def handle_xgboost_function(self):
             dataframe=aggregated_batch.frames, label=arg_map["predict"], **settings
         )
         model_path = os.path.join(
-            self.db.config.get_value("storage", "model_dir"), self.node.name
+            self.db.catalog().get_configuration_catalog_value("model_dir"),
+            self.node.name,
         )
         pickle.dump(model, open(model_path, "wb"))
         self.node.metadata.append(

From d3405482dcc72bd3212361e6680ce8956429f012 Mon Sep 17 00:00:00 2001
From: Joy Arulraj <arulraj@gatech.edu>
Date: Mon, 23 Oct 2023 23:09:49 -0400
Subject: [PATCH 17/64] checkpoint

---
 docs/source/overview/connect-to-data-sources.rst | 15 +++++++++++----
 docs/source/reference/databases/postgres.rst     |  2 ++
 docs/source/shared/postgresql.rst                |  7 ++++++-
 docs/source/usecases/classification.rst          |  4 ----
 docs/source/usecases/forecasting.rst             |  4 ----
 docs/source/usecases/sentiment-analysis.rst      |  4 ----
 6 files changed, 19 insertions(+), 17 deletions(-)

diff --git a/docs/source/overview/connect-to-data-sources.rst b/docs/source/overview/connect-to-data-sources.rst
index e3ae055683..6f32281c25 100644
--- a/docs/source/overview/connect-to-data-sources.rst
+++ b/docs/source/overview/connect-to-data-sources.rst
@@ -6,7 +6,7 @@ EvaDB supports a wide range of data sources including SQL database systems, obje
 Connect to an Existing SQL Database System
 ------------------------------------------
 
-1. Use the :ref:`CREATE DATABASE<create-database>` statement to connect to an **existing** SQL database.
+1. Use the :ref:`CREATE DATABASE<create-database>` statement to connect to an **existing** SQL database server. For example, here is the SQL command to connect EvaDB with a locally running :ref:`PostgreSQL<postgresql>` database server running on port ``5432``.
 
 .. code-block::
 
@@ -20,13 +20,20 @@ Connect to an Existing SQL Database System
        "database": "restaurant_reviews"
    };
 
-.. note::
+For quick prototyping, you can use an embedded :ref:`SQLite<sqlite>` database. Here, the SQLite database file is called ``evadb.db``.
 
-   Go over the :ref:`CREATE DATABASE<create-database>` statement for more details. The :ref:`Databases<databases>` page lists all the database systems that EvaDB currently supports.
+.. code-block::
+
+   CREATE DATABASE restaurant_reviews 
+   WITH ENGINE = 'sqlite', 
+   PARAMETERS = {
+       "database": "evadb.db"
+   };
 
 .. note::
 
-   For prototyping, users can opt to establish a connection to :ref:`SQLite<sqlite>`.
+   Go over the :ref:`CREATE DATABASE<create-database>` statement for more details. The :ref:`Databases<databases>` page lists all the database systems that EvaDB currently supports.
+
 
 2. Preview the data using ``SELECT``
 
diff --git a/docs/source/reference/databases/postgres.rst b/docs/source/reference/databases/postgres.rst
index 5c1309b7d8..de5a130a0b 100644
--- a/docs/source/reference/databases/postgres.rst
+++ b/docs/source/reference/databases/postgres.rst
@@ -1,3 +1,5 @@
+.. _postgresql:
+
 PostgreSQL
 ==========
 
diff --git a/docs/source/shared/postgresql.rst b/docs/source/shared/postgresql.rst
index 3af309e67a..049cb0ea3f 100644
--- a/docs/source/shared/postgresql.rst
+++ b/docs/source/shared/postgresql.rst
@@ -1,7 +1,12 @@
 Connect EvaDB to PostgreSQL Database Server
 -------------------------------------------
 
-We will assume that you have a ``PostgreSQL`` database server running locally that contains the data needed for analysis. Follow these instructions to install `PostgreSQL <https://www.postgresql.org/download/>`_.
+We will assume that you have a :ref:`PostgreSQL<postgresql>` database running locally that contains the data needed for analysis. Follow these instructions to install `PostgreSQL <https://www.postgresql.org/download/>`_. 
+
+.. note::
+    If find it challenging to install the ``PostgreSQL`` database on your machine, here is an alternative for quick prototyping. 
+    
+    You can use an embedded :ref:`SQLite<sqlite>` database. If you go with the ``sqlite`` database, alter the SQL commands in this tutorial to use the ``sqlite`` engine and the ``evadb.db`` SQLite database file as explained in the :ref:`SQLite<sqlite>` page.
 
 EvaDB lets you connect to your favorite databases, data warehouses, data lakes, etc., via the ``CREATE DATABASE`` statement. In this query, we connect EvaDB to an existing ``PostgreSQL`` server:
 
diff --git a/docs/source/usecases/classification.rst b/docs/source/usecases/classification.rst
index 1fbb2823d9..a1fb192d92 100644
--- a/docs/source/usecases/classification.rst
+++ b/docs/source/usecases/classification.rst
@@ -31,10 +31,6 @@ In this tutorial, we present how to to create and train a machine learning model
 We will assume that the input data is loaded into a ``PostgreSQL`` database. 
 To load the home rental data into your database, see the complete `home rental prediction notebook on Colab <https://colab.research.google.com/github/georgia-tech-db/eva/blob/staging/tutorials/17-home-rental-prediction.ipynb>`_.
 
-.. note::
-
-   For prototyping, users can opt to establish a connection to :ref:`SQLite<sqlite>`.
-
 Preview the Home Rental Price Data
 ----------------------------------
 
diff --git a/docs/source/usecases/forecasting.rst b/docs/source/usecases/forecasting.rst
index d6f1b62bc4..8f7bb8575b 100644
--- a/docs/source/usecases/forecasting.rst
+++ b/docs/source/usecases/forecasting.rst
@@ -31,10 +31,6 @@ In this tutorial, we present how to create and train a machine learning model fo
 We will assume that the input data is loaded into a ``PostgreSQL`` database. 
 To load the home sales dataset into your database, see the complete `home sale forecasting notebook on Colab <https://colab.research.google.com/github/georgia-tech-db/eva/blob/staging/tutorials/16-homesale-forecasting.ipynb>`_.
 
-.. note::
-
-   For prototyping, users can opt to establish a connection to :ref:`SQLite<sqlite>`.
-
 Preview the Home Sale Price Data
 --------------------------------
 
diff --git a/docs/source/usecases/sentiment-analysis.rst b/docs/source/usecases/sentiment-analysis.rst
index 74d6eade77..a7dfeb2d98 100644
--- a/docs/source/usecases/sentiment-analysis.rst
+++ b/docs/source/usecases/sentiment-analysis.rst
@@ -31,10 +31,6 @@ To load the food review data into your database, see the complete `sentiment ana
 
 .. include:: ../shared/postgresql.rst
 
-.. note::
-
-   For prototyping, users can opt to establish a connection to :ref:`SQLite<sqlite>`.
-
 Sentiment Analysis of Reviews using ChatGPT
 -------------------------------------------
 

From c6970bdcd462bb7fadee7917ef5115154e9cd249 Mon Sep 17 00:00:00 2001
From: Andy Xu <xzdandy@gmail.com>
Date: Tue, 24 Oct 2023 00:32:23 -0400
Subject: [PATCH 18/64] Skip long running model train test.

---
 .../long/test_model_train.py                  | 19 +++++++++++++++----
 1 file changed, 15 insertions(+), 4 deletions(-)

diff --git a/test/integration_tests/long/test_model_train.py b/test/integration_tests/long/test_model_train.py
index 20ed0c5c52..1c7c185079 100644
--- a/test/integration_tests/long/test_model_train.py
+++ b/test/integration_tests/long/test_model_train.py
@@ -72,13 +72,21 @@ def tearDownClass(cls):
 
         # clean up
         execute_query_fetch_all(cls.evadb, "DROP TABLE IF EXISTS HomeRentals;")
+        execute_query_fetch_all(cls.evadb, "DROP TABLE IF EXISTS Employee;")
         execute_query_fetch_all(
             cls.evadb, "DROP FUNCTION IF EXISTS PredictHouseRentLudwig;"
         )
         execute_query_fetch_all(
             cls.evadb, "DROP FUNCTION IF EXISTS PredictHouseRentSklearn;"
         )
+        execute_query_fetch_all(
+            cls.evadb, "DROP FUNCTION IF EXISTS PredictRentXgboost;"
+        )
+        execute_query_fetch_all(
+            cls.evadb, "DROP FUNCTION IF EXISTS PredictEmployeeXgboost;"
+        )
 
+    @pytest.marker.skip(reason="Model training intergration test takes too long to complete.")
     @ludwig_skip_marker
     def test_ludwig_automl(self):
         create_predict_function = """
@@ -97,6 +105,8 @@ def test_ludwig_automl(self):
         self.assertEqual(len(result.columns), 1)
         self.assertEqual(len(result), 10)
 
+
+    @pytest.marker.skip(reason="Model training intergration test takes too long to complete.")
     @sklearn_skip_marker
     def test_sklearn_regression(self):
         create_predict_function = """
@@ -114,10 +124,11 @@ def test_sklearn_regression(self):
         self.assertEqual(len(result.columns), 1)
         self.assertEqual(len(result), 10)
 
+
     @xgboost_skip_marker
     def test_xgboost_regression(self):
         create_predict_function = """
-            CREATE FUNCTION IF NOT EXISTS PredictRent FROM
+            CREATE OR REPLACE FUNCTION PredictRentXgboost FROM
             ( SELECT number_of_rooms, number_of_bathrooms, days_on_market, rental_price FROM HomeRentals )
             TYPE XGBoost
             PREDICT 'rental_price'
@@ -128,7 +139,7 @@ def test_xgboost_regression(self):
         execute_query_fetch_all(self.evadb, create_predict_function)
 
         predict_query = """
-            SELECT PredictRent(number_of_rooms, number_of_bathrooms, days_on_market, rental_price) FROM HomeRentals LIMIT 10;
+            SELECT PredictRentXgboost(number_of_rooms, number_of_bathrooms, days_on_market, rental_price) FROM HomeRentals LIMIT 10;
         """
         result = execute_query_fetch_all(self.evadb, predict_query)
         self.assertEqual(len(result.columns), 1)
@@ -137,7 +148,7 @@ def test_xgboost_regression(self):
     @xgboost_skip_marker
     def test_xgboost_classification(self):
         create_predict_function = """
-            CREATE FUNCTION IF NOT EXISTS PredictEmployee FROM
+            CREATE OR REPLACE FUNCTION PredictEmployeeXgboost FROM
             ( SELECT payment_tier, age, gender, experience_in_current_domain, leave_or_not FROM Employee )
             TYPE XGBoost
             PREDICT 'leave_or_not'
@@ -148,7 +159,7 @@ def test_xgboost_classification(self):
         execute_query_fetch_all(self.evadb, create_predict_function)
 
         predict_query = """
-            SELECT PredictEmployee(payment_tier, age, gender, experience_in_current_domain, leave_or_not) FROM Employee LIMIT 10;
+            SELECT PredictEmployeeXgboost(payment_tier, age, gender, experience_in_current_domain, leave_or_not) FROM Employee LIMIT 10;
         """
         result = execute_query_fetch_all(self.evadb, predict_query)
         self.assertEqual(len(result.columns), 1)

From d8f4a1b948dca622b3cb33fd945269d684d13b1f Mon Sep 17 00:00:00 2001
From: Andy Xu <xzdandy@gmail.com>
Date: Tue, 24 Oct 2023 00:33:10 -0400
Subject: [PATCH 19/64] Linter

---
 test/integration_tests/long/test_model_train.py | 10 ++++++----
 1 file changed, 6 insertions(+), 4 deletions(-)

diff --git a/test/integration_tests/long/test_model_train.py b/test/integration_tests/long/test_model_train.py
index 1c7c185079..ea4d4b1747 100644
--- a/test/integration_tests/long/test_model_train.py
+++ b/test/integration_tests/long/test_model_train.py
@@ -86,7 +86,9 @@ def tearDownClass(cls):
             cls.evadb, "DROP FUNCTION IF EXISTS PredictEmployeeXgboost;"
         )
 
-    @pytest.marker.skip(reason="Model training intergration test takes too long to complete.")
+    @pytest.marker.skip(
+        reason="Model training intergration test takes too long to complete."
+    )
     @ludwig_skip_marker
     def test_ludwig_automl(self):
         create_predict_function = """
@@ -105,8 +107,9 @@ def test_ludwig_automl(self):
         self.assertEqual(len(result.columns), 1)
         self.assertEqual(len(result), 10)
 
-
-    @pytest.marker.skip(reason="Model training intergration test takes too long to complete.")
+    @pytest.marker.skip(
+        reason="Model training intergration test takes too long to complete."
+    )
     @sklearn_skip_marker
     def test_sklearn_regression(self):
         create_predict_function = """
@@ -124,7 +127,6 @@ def test_sklearn_regression(self):
         self.assertEqual(len(result.columns), 1)
         self.assertEqual(len(result), 10)
 
-
     @xgboost_skip_marker
     def test_xgboost_regression(self):
         create_predict_function = """

From 3f0d829ecefd93bc72f1a1a4e91992a7812b1d06 Mon Sep 17 00:00:00 2001
From: Andy Xu <xzdandy@gmail.com>
Date: Tue, 24 Oct 2023 00:38:44 -0400
Subject: [PATCH 20/64] Fix typo

---
 test/integration_tests/long/test_model_train.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/test/integration_tests/long/test_model_train.py b/test/integration_tests/long/test_model_train.py
index ea4d4b1747..b1afe562d9 100644
--- a/test/integration_tests/long/test_model_train.py
+++ b/test/integration_tests/long/test_model_train.py
@@ -86,7 +86,7 @@ def tearDownClass(cls):
             cls.evadb, "DROP FUNCTION IF EXISTS PredictEmployeeXgboost;"
         )
 
-    @pytest.marker.skip(
+    @pytest.mark.skip(
         reason="Model training intergration test takes too long to complete."
     )
     @ludwig_skip_marker
@@ -107,7 +107,7 @@ def test_ludwig_automl(self):
         self.assertEqual(len(result.columns), 1)
         self.assertEqual(len(result), 10)
 
-    @pytest.marker.skip(
+    @pytest.mark.skip(
         reason="Model training intergration test takes too long to complete."
     )
     @sklearn_skip_marker

From 703dc9460e499a693ee83bfefe9fe49918499159 Mon Sep 17 00:00:00 2001
From: jineetd <35962652+jineetd@users.noreply.github.com>
Date: Tue, 24 Oct 2023 01:05:55 -0400
Subject: [PATCH 21/64] Starting the changes for XGBoost classification
 integration. (#1305)

We shall add XGBoost classification support in EVADB.

---------

Co-authored-by: Jineet Desai <jdesai61@gatech.edu>
Co-authored-by: Andy Xu <xzdandy@gmail.com>
---
 data/classification/Employee.csv              | 4654 +++++++++++++++++
 .../reference/ai/model-train-xgboost.rst      |   40 +-
 evadb/configuration/constants.py              |    1 +
 evadb/executor/create_function_executor.py    |    6 +-
 .../long/test_model_train.py                  |   59 +-
 5 files changed, 4754 insertions(+), 6 deletions(-)
 create mode 100644 data/classification/Employee.csv

diff --git a/data/classification/Employee.csv b/data/classification/Employee.csv
new file mode 100644
index 0000000000..4c5a75240f
--- /dev/null
+++ b/data/classification/Employee.csv
@@ -0,0 +1,4654 @@
+education,joining_year,city,payment_tier,age,gender,ever_benched,experience_in_current_domain,leave_or_not
+Bachelors,2017,Bangalore,3,34,Male,No,0,0
+Bachelors,2013,Pune,1,28,Female,No,3,1
+Bachelors,2014,New Delhi,3,38,Female,No,2,0
+Masters,2016,Bangalore,3,27,Male,No,5,1
+Masters,2017,Pune,3,24,Male,Yes,2,1
+Bachelors,2016,Bangalore,3,22,Male,No,0,0
+Bachelors,2015,New Delhi,3,38,Male,No,0,0
+Bachelors,2016,Bangalore,3,34,Female,No,2,1
+Bachelors,2016,Pune,3,23,Male,No,1,0
+Masters,2017,New Delhi,2,37,Male,No,2,0
+Masters,2012,Bangalore,3,27,Male,No,5,1
+Bachelors,2016,Pune,3,34,Male,No,3,0
+Bachelors,2018,Pune,3,32,Male,Yes,5,1
+Bachelors,2016,Bangalore,3,39,Male,No,2,0
+Bachelors,2012,Bangalore,3,37,Male,No,4,0
+Bachelors,2017,Bangalore,1,29,Male,No,3,0
+Bachelors,2014,Bangalore,3,34,Female,No,2,0
+Bachelors,2014,Pune,3,34,Male,No,4,0
+Bachelors,2015,Pune,2,30,Female,No,0,1
+Bachelors,2016,New Delhi,2,22,Female,No,0,1
+Bachelors,2012,Bangalore,3,37,Male,No,0,0
+Masters,2017,New Delhi,2,28,Male,No,4,0
+Bachelors,2017,New Delhi,2,36,Male,No,3,0
+Bachelors,2015,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2017,Bangalore,3,29,Male,No,4,0
+Bachelors,2013,Bangalore,3,22,Female,Yes,0,0
+Bachelors,2016,Bangalore,3,37,Male,No,2,0
+Bachelors,2015,Bangalore,3,23,Male,No,1,0
+Bachelors,2013,Pune,2,31,Female,No,2,1
+Masters,2017,New Delhi,2,30,Female,No,2,0
+PHD,2013,New Delhi,3,25,Male,No,3,0
+Bachelors,2014,Bangalore,3,23,Male,No,1,0
+Bachelors,2018,Bangalore,3,26,Male,No,4,1
+Bachelors,2016,Bangalore,3,40,Male,No,5,0
+Bachelors,2017,Pune,2,37,Female,No,0,1
+Bachelors,2014,Bangalore,1,30,Female,No,3,0
+Bachelors,2012,New Delhi,3,29,Male,No,3,0
+Bachelors,2018,New Delhi,2,34,Female,No,0,1
+Bachelors,2017,Pune,2,29,Female,No,2,1
+Bachelors,2014,Pune,3,30,Male,Yes,4,0
+Bachelors,2015,Bangalore,3,36,Male,No,1,0
+Masters,2017,New Delhi,2,23,Male,No,1,0
+Bachelors,2013,Bangalore,3,30,Male,No,3,1
+Bachelors,2014,Bangalore,3,36,Male,No,0,0
+Bachelors,2015,Pune,3,39,Male,No,4,0
+Bachelors,2014,Bangalore,3,23,Female,No,1,0
+PHD,2012,New Delhi,3,27,Male,No,5,0
+Masters,2013,New Delhi,3,35,Male,No,2,0
+Masters,2017,New Delhi,2,34,Male,No,0,0
+Bachelors,2013,Bangalore,3,30,Female,No,1,0
+PHD,2017,New Delhi,3,34,Male,No,2,0
+Bachelors,2015,Pune,2,26,Female,No,4,1
+Bachelors,2016,Bangalore,3,34,Female,No,0,0
+Bachelors,2014,Bangalore,3,31,Female,Yes,5,0
+Bachelors,2017,New Delhi,3,31,Female,Yes,5,0
+PHD,2013,New Delhi,3,28,Male,No,2,0
+Bachelors,2016,Bangalore,3,38,Male,No,2,0
+Masters,2014,Pune,3,39,Female,No,2,0
+Bachelors,2013,Pune,3,32,Male,No,4,0
+Masters,2017,Pune,2,36,Male,No,2,1
+Masters,2013,New Delhi,3,29,Male,No,3,0
+Bachelors,2015,Bangalore,3,30,Male,No,5,0
+PHD,2013,Bangalore,2,25,Male,No,3,1
+Bachelors,2014,Pune,1,22,Female,No,0,1
+Bachelors,2016,Bangalore,3,34,Male,No,4,0
+Bachelors,2018,Bangalore,3,40,Male,No,1,1
+PHD,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,New Delhi,3,28,Male,No,0,0
+Bachelors,2015,Bangalore,3,24,Female,No,2,0
+Masters,2017,Bangalore,3,40,Female,No,2,1
+Bachelors,2018,Bangalore,3,23,Female,No,1,1
+Masters,2017,Bangalore,3,31,Male,No,4,0
+Bachelors,2014,Pune,3,25,Female,No,3,0
+Bachelors,2014,Bangalore,1,27,Male,No,5,0
+Masters,2017,New Delhi,2,25,Female,No,3,1
+Bachelors,2015,Bangalore,3,40,Male,No,0,1
+Bachelors,2014,Bangalore,1,23,Female,No,1,0
+Bachelors,2017,Bangalore,3,23,Female,No,1,0
+Bachelors,2012,Bangalore,3,39,Male,No,1,0
+PHD,2015,New Delhi,1,37,Male,No,1,0
+Bachelors,2017,Pune,3,38,Male,No,2,0
+Bachelors,2013,Bangalore,3,31,Female,No,0,1
+Bachelors,2016,Bangalore,3,38,Male,No,5,0
+Bachelors,2017,Bangalore,3,25,Female,No,3,0
+Bachelors,2015,Bangalore,3,27,Female,Yes,5,1
+Bachelors,2016,Pune,2,36,Male,No,0,1
+Bachelors,2017,Pune,2,27,Female,No,5,1
+Masters,2015,Pune,2,32,Female,No,4,0
+Bachelors,2014,Bangalore,3,28,Male,No,4,0
+Masters,2012,New Delhi,3,32,Male,No,2,0
+Bachelors,2018,Bangalore,3,30,Male,No,0,1
+Bachelors,2015,New Delhi,3,22,Male,No,0,0
+Bachelors,2017,New Delhi,2,34,Female,No,5,0
+Masters,2013,New Delhi,3,36,Male,No,2,0
+Bachelors,2014,Bangalore,3,39,Male,No,3,1
+PHD,2018,Bangalore,3,26,Male,No,4,1
+Bachelors,2016,Bangalore,3,31,Female,No,0,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,1
+Bachelors,2014,Bangalore,3,29,Female,No,0,0
+Bachelors,2015,Bangalore,3,24,Female,No,2,1
+Masters,2012,Pune,3,25,Male,No,3,1
+Bachelors,2013,Pune,3,25,Male,No,3,0
+Masters,2017,New Delhi,3,26,Female,No,4,1
+Bachelors,2015,Pune,2,28,Female,Yes,1,1
+Bachelors,2017,New Delhi,3,28,Male,No,2,0
+Masters,2015,Pune,1,28,Female,No,3,1
+Masters,2015,New Delhi,3,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,28,Male,No,1,0
+Masters,2013,Pune,3,25,Male,No,3,0
+Bachelors,2015,Bangalore,2,25,Female,No,3,1
+Bachelors,2015,Bangalore,3,27,Female,No,5,0
+Bachelors,2017,Pune,2,27,Female,No,5,1
+Bachelors,2013,Bangalore,3,27,Male,No,5,1
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Masters,2017,New Delhi,2,28,Male,No,2,0
+Bachelors,2014,Pune,1,26,Female,No,4,1
+Bachelors,2015,Bangalore,3,28,Male,No,2,0
+Masters,2013,New Delhi,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,26,Female,No,4,0
+Bachelors,2017,New Delhi,2,25,Male,No,3,0
+Bachelors,2012,Bangalore,1,28,Female,No,3,0
+PHD,2015,New Delhi,3,26,Male,No,4,0
+Bachelors,2015,New Delhi,3,25,Female,No,3,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,1
+Bachelors,2014,Bangalore,3,28,Female,No,3,0
+Masters,2014,Pune,3,24,Male,No,2,0
+Bachelors,2013,Bangalore,3,28,Male,No,1,0
+Bachelors,2015,Pune,3,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,25,Male,No,3,1
+Masters,2013,Pune,1,24,Male,No,2,1
+Bachelors,2017,Bangalore,3,26,Female,No,4,0
+Bachelors,2013,Bangalore,3,28,Male,No,1,1
+Masters,2016,New Delhi,3,27,Male,No,5,0
+Masters,2017,Bangalore,3,26,Male,No,4,0
+Masters,2017,New Delhi,2,24,Male,No,2,0
+Masters,2018,New Delhi,3,26,Male,No,4,1
+Masters,2017,New Delhi,1,25,Female,No,3,1
+Bachelors,2012,Pune,3,28,Male,No,2,0
+Bachelors,2017,New Delhi,3,28,Male,No,2,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Masters,2013,New Delhi,3,27,Male,No,5,1
+Bachelors,2017,Pune,2,24,Female,No,2,1
+Bachelors,2017,New Delhi,3,28,Female,No,2,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,27,Female,No,5,0
+Masters,2015,Pune,2,28,Female,No,3,0
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2016,Pune,3,28,Male,No,1,0
+Masters,2013,Bangalore,1,25,Male,No,3,1
+Bachelors,2015,Pune,3,26,Male,No,4,0
+Bachelors,2018,New Delhi,3,27,Female,No,5,1
+Bachelors,2016,Bangalore,3,24,Male,No,2,1
+Bachelors,2012,Pune,2,24,Female,No,2,1
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2016,Pune,2,24,Female,No,2,1
+Masters,2012,New Delhi,3,26,Female,No,4,0
+Bachelors,2013,Bangalore,3,28,Female,No,3,0
+Bachelors,2012,Bangalore,3,24,Male,No,2,1
+Bachelors,2015,Bangalore,3,25,Male,No,3,1
+Bachelors,2016,Bangalore,3,28,Male,No,3,0
+Bachelors,2014,Bangalore,3,28,Female,No,3,0
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Masters,2017,New Delhi,3,24,Female,No,2,1
+Bachelors,2016,Bangalore,3,25,Male,No,3,1
+Bachelors,2015,Bangalore,3,25,Male,No,3,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,24,Male,No,2,0
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2015,Bangalore,3,28,Male,No,3,0
+Masters,2015,New Delhi,3,26,Male,No,4,1
+Bachelors,2014,New Delhi,3,28,Female,No,1,0
+Bachelors,2015,Pune,3,25,Male,No,3,0
+Masters,2015,Pune,2,28,Female,No,2,0
+Bachelors,2014,Bangalore,3,27,Female,No,5,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Bachelors,2015,Bangalore,3,25,Male,No,3,0
+Bachelors,2014,New Delhi,3,24,Female,No,2,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,1
+Masters,2017,New Delhi,3,27,Male,No,5,1
+Bachelors,2015,Pune,3,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,24,Male,No,2,1
+Masters,2017,New Delhi,3,27,Male,No,5,1
+Masters,2017,New Delhi,2,28,Female,No,1,1
+Masters,2017,Pune,2,24,Male,No,2,1
+Masters,2016,New Delhi,3,25,Female,No,3,1
+PHD,2015,New Delhi,3,28,Female,No,1,0
+Bachelors,2017,New Delhi,2,26,Male,No,4,0
+Bachelors,2013,Bangalore,2,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,28,Male,No,1,0
+Bachelors,2015,Bangalore,3,27,Female,No,5,0
+Bachelors,2013,New Delhi,3,25,Female,No,3,0
+Bachelors,2013,Pune,3,28,Male,No,1,0
+Bachelors,2017,Pune,3,24,Male,No,2,0
+Bachelors,2013,New Delhi,3,27,Female,No,5,0
+Bachelors,2015,Bangalore,3,28,Male,Yes,2,0
+Bachelors,2015,Pune,3,28,Male,No,3,0
+Bachelors,2014,Pune,2,25,Female,No,3,1
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2014,Pune,2,26,Female,No,4,1
+PHD,2013,New Delhi,3,24,Male,No,2,0
+Bachelors,2015,Pune,2,26,Female,No,4,1
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+Masters,2013,Pune,2,27,Male,No,5,1
+Masters,2017,Bangalore,3,28,Male,No,2,0
+Bachelors,2012,Bangalore,3,25,Male,No,3,1
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Masters,2017,Pune,2,27,Female,No,5,0
+Masters,2013,Bangalore,2,28,Female,No,2,1
+Masters,2017,Pune,3,28,Male,No,1,1
+Bachelors,2018,Bangalore,3,27,Female,No,5,1
+Bachelors,2014,New Delhi,3,25,Female,No,3,0
+Masters,2017,New Delhi,3,27,Male,No,5,1
+Masters,2013,New Delhi,3,26,Male,No,4,1
+Bachelors,2013,Pune,2,25,Female,No,3,1
+Masters,2012,New Delhi,3,26,Male,No,4,1
+Bachelors,2016,Bangalore,3,25,Male,No,3,1
+Bachelors,2013,Pune,2,26,Male,No,4,0
+Bachelors,2018,Bangalore,3,28,Female,No,2,1
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Pune,1,24,Female,Yes,2,1
+Bachelors,2013,Pune,3,28,Male,No,2,0
+Bachelors,2015,Pune,2,27,Female,Yes,5,1
+Bachelors,2018,Bangalore,3,25,Male,No,3,1
+Bachelors,2014,Pune,2,27,Female,No,5,1
+Bachelors,2013,Pune,3,24,Male,No,2,0
+Bachelors,2014,Pune,3,24,Male,No,2,0
+PHD,2015,New Delhi,2,25,Female,No,3,0
+Bachelors,2014,Bangalore,3,26,Male,Yes,4,0
+Bachelors,2018,Bangalore,3,24,Male,No,2,1
+Masters,2015,Pune,2,25,Female,No,3,0
+Bachelors,2015,Bangalore,3,24,Male,No,2,0
+Bachelors,2014,New Delhi,3,24,Female,No,2,0
+Masters,2017,Bangalore,2,26,Female,No,4,1
+Bachelors,2012,New Delhi,3,28,Male,No,1,0
+Masters,2017,Pune,2,26,Female,No,4,0
+Bachelors,2016,Pune,3,25,Male,No,3,0
+Bachelors,2017,New Delhi,3,24,Male,No,2,1
+Bachelors,2013,Pune,2,28,Female,No,3,1
+Bachelors,2014,Bangalore,3,25,Female,No,3,1
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2014,Pune,2,24,Female,No,2,1
+Bachelors,2015,Bangalore,3,28,Male,No,2,1
+Bachelors,2015,Bangalore,3,27,Male,No,5,0
+Bachelors,2016,Pune,3,26,Male,No,4,0
+Masters,2015,New Delhi,3,26,Female,No,4,1
+Bachelors,2016,Bangalore,1,28,Female,No,2,0
+Bachelors,2014,Bangalore,3,25,Male,Yes,3,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,28,Male,No,2,0
+Masters,2018,New Delhi,3,24,Female,Yes,2,1
+Bachelors,2017,Pune,2,25,Male,No,3,0
+Bachelors,2018,Pune,2,24,Female,No,2,1
+Masters,2017,New Delhi,2,28,Female,No,1,0
+Bachelors,2013,New Delhi,1,27,Female,No,5,0
+Bachelors,2017,New Delhi,2,27,Female,No,5,0
+Bachelors,2017,Bangalore,3,28,Male,No,1,0
+Bachelors,2016,Pune,2,27,Female,No,5,1
+Masters,2018,Bangalore,3,24,Male,No,2,1
+Bachelors,2012,Pune,1,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Masters,2016,New Delhi,1,27,Male,No,5,0
+Bachelors,2015,New Delhi,3,26,Female,No,4,0
+Bachelors,2012,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2013,Bangalore,3,24,Male,Yes,2,1
+Bachelors,2018,Bangalore,3,26,Female,No,4,1
+Masters,2017,Pune,2,26,Female,No,4,1
+Masters,2017,New Delhi,2,28,Female,No,2,0
+Bachelors,2013,Pune,3,28,Male,No,1,0
+Masters,2013,New Delhi,3,25,Male,No,3,0
+Bachelors,2018,Bangalore,3,28,Female,Yes,1,1
+Bachelors,2013,Pune,3,27,Female,No,5,1
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Bachelors,2014,Bangalore,3,28,Male,No,1,0
+Bachelors,2017,New Delhi,3,28,Female,No,3,0
+Masters,2017,New Delhi,2,28,Male,Yes,2,0
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Masters,2017,New Delhi,3,26,Male,No,4,0
+Bachelors,2015,Pune,1,25,Female,No,3,1
+Masters,2013,New Delhi,3,27,Male,No,5,0
+PHD,2014,Bangalore,3,24,Female,No,2,0
+Masters,2017,New Delhi,2,27,Female,No,5,0
+Bachelors,2018,Bangalore,3,26,Male,No,4,1
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Masters,2015,Pune,3,27,Female,No,5,1
+Bachelors,2018,Bangalore,3,26,Male,No,4,1
+Bachelors,2016,Bangalore,3,24,Male,No,2,0
+Masters,2017,New Delhi,2,25,Female,No,3,0
+Bachelors,2017,New Delhi,2,28,Male,No,1,0
+Bachelors,2012,New Delhi,3,27,Female,No,5,0
+Masters,2013,New Delhi,3,26,Male,No,4,1
+Bachelors,2015,Bangalore,3,26,Female,Yes,4,1
+Bachelors,2014,Pune,3,28,Male,No,2,0
+Bachelors,2016,Bangalore,3,24,Female,No,2,1
+Bachelors,2012,Bangalore,3,28,Male,No,3,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,New Delhi,3,28,Female,No,1,0
+Bachelors,2014,New Delhi,3,27,Female,Yes,5,0
+Bachelors,2015,Pune,3,26,Female,Yes,4,1
+Masters,2014,New Delhi,3,26,Male,No,4,1
+PHD,2015,New Delhi,3,25,Female,No,3,0
+Masters,2015,New Delhi,3,25,Male,No,3,0
+Bachelors,2012,Pune,3,27,Male,No,5,0
+Masters,2017,New Delhi,2,24,Female,No,2,0
+Bachelors,2016,Bangalore,3,24,Male,No,2,0
+Masters,2015,Pune,3,28,Female,No,2,0
+Bachelors,2017,Bangalore,3,24,Female,No,2,0
+Bachelors,2017,Pune,3,25,Male,No,3,0
+Bachelors,2017,Bangalore,1,25,Male,No,3,0
+Masters,2015,Pune,3,28,Female,No,2,0
+Bachelors,2017,Pune,3,26,Male,No,4,0
+Bachelors,2014,Pune,3,24,Male,No,2,0
+Bachelors,2014,Pune,3,25,Female,No,3,1
+Bachelors,2018,Pune,3,26,Female,No,4,1
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,28,Female,No,2,0
+Bachelors,2012,Pune,3,28,Male,No,2,0
+Masters,2012,New Delhi,3,24,Female,No,2,1
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,New Delhi,3,26,Female,Yes,4,0
+Bachelors,2017,Bangalore,3,28,Male,No,1,0
+Bachelors,2018,Pune,3,25,Male,Yes,3,1
+Masters,2017,New Delhi,3,24,Male,No,2,0
+Bachelors,2013,Bangalore,3,28,Male,No,2,1
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Masters,2017,New Delhi,2,25,Female,No,3,1
+Bachelors,2013,Pune,2,28,Female,No,1,1
+Bachelors,2015,Bangalore,3,24,Female,No,2,0
+Bachelors,2016,Pune,3,26,Male,No,4,0
+Bachelors,2015,New Delhi,2,27,Female,No,5,1
+Bachelors,2018,Bangalore,3,24,Female,No,2,1
+Bachelors,2013,Bangalore,3,27,Female,No,5,0
+Bachelors,2013,Bangalore,3,24,Male,Yes,2,0
+Bachelors,2013,Bangalore,3,24,Female,No,2,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,26,Female,No,4,0
+Bachelors,2015,Bangalore,3,24,Female,No,2,0
+Bachelors,2012,Pune,3,24,Female,No,2,1
+Bachelors,2016,Bangalore,3,24,Male,Yes,2,1
+Bachelors,2012,Bangalore,3,28,Male,No,3,0
+Bachelors,2017,New Delhi,2,27,Male,No,5,0
+Bachelors,2012,Pune,2,27,Female,No,5,1
+Masters,2017,Pune,2,27,Male,No,5,0
+Bachelors,2017,Pune,2,24,Male,No,2,1
+Bachelors,2016,Pune,1,26,Female,No,4,1
+Bachelors,2015,Pune,3,26,Female,No,4,1
+Bachelors,2016,Bangalore,3,25,Male,No,3,1
+Bachelors,2012,Pune,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,28,Male,No,2,0
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,25,Female,Yes,3,0
+Masters,2017,Pune,2,26,Male,No,4,0
+Masters,2017,Pune,3,28,Male,No,1,1
+Masters,2015,Pune,2,25,Female,No,3,1
+Bachelors,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2017,New Delhi,2,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,New Delhi,3,27,Female,No,5,0
+Bachelors,2015,New Delhi,3,24,Female,No,2,0
+Masters,2017,Bangalore,1,26,Female,No,4,1
+Bachelors,2017,New Delhi,1,28,Female,No,2,0
+Bachelors,2015,Bangalore,3,24,Male,No,2,0
+Masters,2015,Pune,2,25,Female,No,3,1
+Bachelors,2014,Bangalore,3,25,Female,No,3,0
+Bachelors,2014,Bangalore,3,28,Male,No,2,0
+Bachelors,2017,Bangalore,3,28,Male,No,3,0
+Masters,2015,New Delhi,1,27,Male,No,5,0
+Bachelors,2014,Pune,1,26,Female,No,4,1
+Masters,2018,Bangalore,3,25,Male,Yes,3,1
+Bachelors,2016,Bangalore,3,28,Female,No,3,0
+Bachelors,2018,New Delhi,3,26,Female,Yes,4,1
+Bachelors,2015,Pune,2,24,Female,No,2,1
+Bachelors,2017,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2016,Bangalore,3,28,Male,No,2,0
+Bachelors,2015,Pune,2,25,Female,No,3,1
+Bachelors,2013,Pune,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,28,Male,No,3,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2012,Bangalore,3,24,Male,No,2,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,26,Female,Yes,4,1
+Bachelors,2015,Pune,3,28,Male,No,2,0
+Bachelors,2014,New Delhi,2,24,Female,No,2,1
+Bachelors,2013,Bangalore,3,24,Male,No,2,0
+Bachelors,2018,Bangalore,3,28,Male,Yes,3,1
+Bachelors,2015,Pune,3,27,Male,No,5,0
+Bachelors,2014,Pune,2,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,25,Male,No,3,1
+PHD,2013,Bangalore,3,25,Male,No,3,0
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,New Delhi,2,28,Female,No,1,0
+Bachelors,2015,Pune,1,26,Female,No,4,1
+Masters,2017,New Delhi,3,26,Male,Yes,4,1
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2012,New Delhi,3,24,Female,No,2,0
+Bachelors,2017,New Delhi,2,24,Male,No,2,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2012,Bangalore,3,26,Female,No,4,0
+Bachelors,2015,Bangalore,3,24,Male,No,2,0
+Masters,2014,Pune,3,25,Male,No,3,0
+Bachelors,2015,Bangalore,3,28,Male,No,2,0
+Bachelors,2016,Pune,3,24,Male,No,2,0
+Bachelors,2016,Bangalore,3,26,Female,No,4,0
+Bachelors,2015,Pune,2,25,Female,Yes,3,1
+Masters,2013,New Delhi,2,25,Male,No,3,1
+Bachelors,2017,Pune,3,25,Male,No,3,0
+Bachelors,2015,Pune,2,26,Female,Yes,4,1
+Masters,2015,Bangalore,2,26,Female,No,4,1
+Bachelors,2012,Pune,3,27,Female,No,5,0
+Masters,2017,New Delhi,3,28,Male,Yes,2,0
+Bachelors,2016,Pune,3,25,Male,No,3,0
+Bachelors,2016,Bangalore,3,24,Male,No,2,0
+Bachelors,2016,Pune,3,28,Male,No,1,0
+Bachelors,2013,New Delhi,3,27,Female,Yes,5,0
+Bachelors,2015,New Delhi,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,Pune,2,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+PHD,2018,New Delhi,3,25,Male,No,3,1
+Bachelors,2014,Pune,3,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Masters,2017,Pune,2,24,Female,No,2,1
+PHD,2016,New Delhi,2,28,Male,No,3,1
+Masters,2014,New Delhi,3,26,Male,No,4,1
+Masters,2017,New Delhi,2,27,Male,Yes,5,1
+PHD,2013,New Delhi,3,27,Male,No,5,0
+Masters,2014,New Delhi,3,28,Female,No,1,0
+Bachelors,2017,Pune,3,27,Male,No,5,0
+Bachelors,2015,Pune,3,26,Female,Yes,4,1
+Masters,2014,Bangalore,3,26,Male,No,4,1
+Masters,2012,Pune,3,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,26,Male,No,4,0
+Masters,2017,Pune,2,27,Male,No,5,1
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,25,Male,No,3,1
+Bachelors,2016,Pune,3,27,Male,Yes,5,0
+Bachelors,2014,Pune,3,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,28,Male,No,1,0
+Masters,2012,Pune,3,24,Male,No,2,0
+Bachelors,2014,Bangalore,3,25,Male,Yes,3,0
+Bachelors,2013,Pune,2,25,Male,No,3,1
+Bachelors,2012,Pune,3,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Pune,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,24,Male,No,2,0
+Bachelors,2014,Bangalore,3,25,Female,No,3,0
+Bachelors,2015,New Delhi,3,25,Male,No,3,0
+PHD,2012,Pune,3,24,Male,No,2,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,25,Male,No,3,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Masters,2015,New Delhi,3,24,Female,No,2,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Pune,3,24,Male,No,2,0
+Masters,2017,New Delhi,3,24,Male,No,2,1
+Bachelors,2014,Bangalore,1,25,Male,Yes,3,0
+Bachelors,2018,Bangalore,3,28,Male,No,1,1
+Bachelors,2017,Bangalore,3,28,Male,Yes,3,0
+Masters,2013,Bangalore,3,28,Female,Yes,2,1
+Bachelors,2013,Bangalore,3,26,Male,Yes,4,0
+Masters,2018,New Delhi,1,24,Male,Yes,2,1
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+PHD,2013,New Delhi,2,27,Female,No,5,0
+Masters,2018,New Delhi,3,28,Male,Yes,2,1
+Bachelors,2014,Bangalore,3,28,Male,No,3,1
+Bachelors,2014,Pune,3,27,Male,No,5,0
+Bachelors,2013,New Delhi,3,24,Female,No,2,1
+Bachelors,2015,Pune,2,28,Female,No,1,1
+Bachelors,2015,Pune,2,26,Female,No,4,1
+Bachelors,2017,New Delhi,2,28,Female,No,3,0
+Masters,2012,Pune,3,27,Female,No,5,1
+Masters,2017,Pune,3,25,Female,Yes,3,1
+Masters,2013,New Delhi,2,25,Male,No,3,1
+Masters,2017,New Delhi,2,27,Male,No,5,1
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Bachelors,2016,Pune,2,24,Female,No,2,1
+Bachelors,2012,Bangalore,3,26,Female,No,4,0
+Bachelors,2012,Bangalore,3,24,Male,No,2,1
+Masters,2017,Pune,2,24,Male,No,2,0
+Bachelors,2015,Pune,2,25,Female,Yes,3,1
+Bachelors,2015,New Delhi,3,26,Female,Yes,4,0
+Bachelors,2013,Pune,2,24,Male,Yes,2,1
+Bachelors,2013,Pune,3,25,Male,No,3,0
+PHD,2015,New Delhi,2,28,Female,No,1,0
+Bachelors,2016,Pune,3,24,Male,No,2,0
+Bachelors,2017,Bangalore,3,24,Female,No,2,0
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,25,Female,No,3,0
+Masters,2014,New Delhi,3,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,28,Female,No,3,0
+Bachelors,2018,Pune,3,25,Male,No,3,1
+Bachelors,2013,Bangalore,3,26,Male,Yes,4,1
+Bachelors,2015,New Delhi,3,25,Male,No,3,1
+Bachelors,2017,New Delhi,2,25,Female,No,3,1
+Bachelors,2012,Bangalore,3,25,Male,Yes,3,0
+Bachelors,2014,New Delhi,3,28,Female,No,2,0
+Bachelors,2017,New Delhi,2,27,Female,No,5,0
+Bachelors,2018,Pune,3,26,Male,No,4,1
+Masters,2014,New Delhi,3,28,Male,No,2,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,1
+Masters,2017,Pune,3,25,Male,No,3,1
+Bachelors,2018,Bangalore,3,28,Male,No,2,1
+Bachelors,2016,Bangalore,3,24,Male,No,2,0
+Bachelors,2012,Bangalore,3,24,Male,Yes,2,0
+Bachelors,2015,Bangalore,3,28,Female,No,1,0
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2013,Pune,3,27,Male,No,5,0
+Bachelors,2016,New Delhi,3,24,Female,No,2,0
+Bachelors,2012,Bangalore,3,25,Female,No,3,0
+Bachelors,2012,Pune,3,28,Male,No,3,0
+Bachelors,2018,Pune,3,25,Male,Yes,3,1
+Bachelors,2014,Bangalore,3,27,Male,No,5,1
+Bachelors,2016,Bangalore,3,27,Female,No,5,0
+Masters,2015,Pune,2,24,Female,No,2,0
+Masters,2014,Bangalore,3,24,Female,No,2,1
+Bachelors,2013,Bangalore,3,25,Male,No,3,0
+Masters,2017,New Delhi,3,24,Male,No,2,0
+Bachelors,2015,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Bachelors,2017,New Delhi,2,28,Male,No,3,0
+Bachelors,2016,Bangalore,3,28,Male,No,2,0
+PHD,2014,New Delhi,3,24,Male,No,2,0
+Masters,2017,New Delhi,2,26,Female,No,4,0
+Masters,2018,New Delhi,3,25,Male,No,3,1
+Bachelors,2014,Bangalore,3,28,Male,No,3,1
+Bachelors,2014,Bangalore,3,25,Male,No,3,1
+Bachelors,2018,New Delhi,3,28,Female,No,3,1
+Masters,2017,New Delhi,2,25,Male,Yes,3,1
+Masters,2013,New Delhi,3,28,Male,No,2,0
+Bachelors,2014,Bangalore,3,26,Male,Yes,4,0
+Masters,2017,New Delhi,2,25,Female,No,3,1
+Masters,2013,New Delhi,3,25,Female,No,3,0
+Bachelors,2016,Bangalore,3,25,Male,No,3,0
+Bachelors,2018,Bangalore,3,24,Male,No,2,1
+Masters,2017,New Delhi,2,26,Male,Yes,4,1
+Bachelors,2013,Bangalore,3,24,Male,No,2,0
+Bachelors,2013,Bangalore,3,28,Male,No,2,0
+Masters,2015,Pune,3,28,Female,Yes,2,0
+Bachelors,2015,Pune,2,27,Female,Yes,5,1
+Masters,2014,Pune,2,27,Female,No,5,0
+Bachelors,2017,New Delhi,2,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Masters,2015,Pune,1,27,Female,No,5,0
+Bachelors,2013,Bangalore,1,28,Male,No,3,1
+Bachelors,2012,Pune,2,26,Female,No,4,1
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Masters,2017,New Delhi,2,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,24,Male,No,2,0
+Bachelors,2017,New Delhi,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,28,Female,No,1,1
+Bachelors,2015,Bangalore,3,25,Male,No,3,0
+Bachelors,2015,Pune,2,28,Female,No,3,1
+Bachelors,2017,Bangalore,3,24,Female,No,2,0
+Bachelors,2016,Bangalore,3,27,Female,No,5,1
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Masters,2018,Pune,3,25,Male,No,3,1
+Bachelors,2015,Pune,3,26,Male,No,4,0
+Bachelors,2014,Pune,3,26,Male,No,4,0
+PHD,2017,New Delhi,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,New Delhi,3,28,Female,No,2,0
+Bachelors,2014,Pune,3,25,Female,No,3,0
+Bachelors,2013,Bangalore,3,28,Male,Yes,3,0
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+Bachelors,2018,Bangalore,3,27,Male,No,5,1
+Bachelors,2017,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Pune,2,25,Female,No,3,1
+Bachelors,2017,Pune,2,26,Female,No,4,1
+Bachelors,2015,Pune,3,28,Male,No,3,0
+Masters,2017,Pune,2,26,Male,No,4,1
+Masters,2015,New Delhi,3,28,Female,Yes,2,0
+Bachelors,2012,New Delhi,2,25,Male,No,3,1
+Bachelors,2016,Bangalore,3,25,Female,No,3,0
+Masters,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2014,Bangalore,3,25,Male,No,3,1
+PHD,2018,Bangalore,3,26,Male,No,4,1
+Bachelors,2016,Pune,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Masters,2012,Pune,2,26,Female,No,4,0
+Masters,2016,New Delhi,3,27,Male,No,5,1
+PHD,2017,Bangalore,3,28,Male,No,1,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2018,Pune,3,26,Male,No,4,1
+Bachelors,2018,Bangalore,1,27,Male,No,5,0
+Bachelors,2016,Pune,3,24,Male,No,2,0
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,28,Male,No,2,0
+Bachelors,2017,New Delhi,2,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,25,Male,No,3,0
+Bachelors,2013,Bangalore,3,28,Male,No,1,0
+Bachelors,2018,Bangalore,3,28,Female,No,3,1
+Bachelors,2016,Bangalore,3,27,Male,Yes,5,0
+Masters,2015,Pune,2,28,Female,No,3,0
+Masters,2015,New Delhi,3,24,Female,No,2,1
+Bachelors,2017,New Delhi,3,24,Male,No,2,0
+Bachelors,2015,Pune,2,24,Female,No,2,1
+Masters,2013,Pune,3,28,Male,No,2,1
+Bachelors,2017,Pune,3,27,Female,No,5,1
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Pune,1,26,Female,No,4,1
+Bachelors,2015,Pune,3,28,Male,No,3,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,New Delhi,2,26,Male,No,4,0
+Masters,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,1
+Bachelors,2013,Bangalore,3,26,Male,Yes,4,0
+Bachelors,2014,Bangalore,3,28,Male,No,3,1
+Bachelors,2014,New Delhi,3,28,Female,No,3,0
+Bachelors,2014,Pune,3,25,Female,No,3,1
+Bachelors,2016,Pune,3,28,Male,No,3,0
+Masters,2017,Bangalore,3,27,Male,No,5,1
+Bachelors,2015,Bangalore,3,25,Male,No,3,0
+Bachelors,2014,Pune,3,27,Male,No,5,0
+Bachelors,2012,Pune,3,28,Male,No,3,0
+Masters,2017,Pune,3,26,Male,No,4,1
+Bachelors,2013,Bangalore,3,25,Male,Yes,3,0
+Bachelors,2015,Pune,2,28,Female,No,2,1
+PHD,2013,Bangalore,1,26,Male,No,4,0
+Masters,2012,Pune,3,27,Male,No,5,1
+Bachelors,2016,Bangalore,1,28,Male,No,2,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+Masters,2017,New Delhi,2,24,Female,Yes,2,1
+Bachelors,2015,Bangalore,1,25,Female,Yes,3,0
+Bachelors,2018,Bangalore,3,27,Male,No,5,1
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2018,Bangalore,3,26,Male,No,4,1
+Bachelors,2015,Pune,2,24,Female,No,2,1
+Bachelors,2018,Bangalore,3,27,Male,No,5,1
+Bachelors,2016,Bangalore,3,27,Female,No,5,0
+Masters,2016,New Delhi,3,25,Female,No,3,1
+Masters,2018,New Delhi,3,26,Male,No,4,1
+Bachelors,2018,Bangalore,3,24,Female,No,2,1
+Bachelors,2017,New Delhi,2,28,Male,No,3,0
+Bachelors,2015,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,25,Male,No,3,0
+Bachelors,2013,Pune,3,25,Male,No,3,0
+Bachelors,2015,Pune,3,25,Female,No,3,1
+Bachelors,2014,Bangalore,3,28,Female,No,3,0
+Bachelors,2015,Pune,3,24,Male,No,2,0
+Bachelors,2016,Bangalore,3,26,Female,No,4,0
+Bachelors,2018,Bangalore,1,25,Male,Yes,3,0
+Masters,2017,Pune,2,28,Female,No,1,0
+Bachelors,2014,Pune,2,25,Female,No,3,1
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+Bachelors,2016,Bangalore,3,28,Female,No,3,0
+Bachelors,2014,Bangalore,3,28,Female,No,2,0
+Masters,2017,New Delhi,2,28,Male,No,2,0
+Bachelors,2017,New Delhi,2,24,Female,No,2,0
+PHD,2013,New Delhi,2,25,Male,No,3,1
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Bachelors,2017,Bangalore,3,26,Female,No,4,0
+Bachelors,2015,Bangalore,1,25,Male,No,3,0
+Bachelors,2016,Bangalore,3,26,Female,No,4,0
+PHD,2014,New Delhi,3,28,Male,No,2,1
+Masters,2018,New Delhi,3,27,Female,No,5,1
+Bachelors,2016,New Delhi,3,27,Female,No,5,0
+Masters,2017,New Delhi,2,25,Male,No,3,1
+Bachelors,2017,Bangalore,3,26,Male,No,4,0
+Bachelors,2016,New Delhi,3,27,Female,Yes,5,0
+Bachelors,2017,Pune,2,25,Female,No,3,1
+Bachelors,2018,Pune,3,28,Female,No,1,1
+Bachelors,2014,Bangalore,3,25,Female,No,3,1
+Bachelors,2018,Pune,3,28,Male,No,1,1
+Bachelors,2017,Bangalore,1,26,Female,No,4,0
+Bachelors,2013,Bangalore,3,24,Male,No,2,1
+Bachelors,2012,New Delhi,3,26,Female,No,4,0
+Bachelors,2012,Pune,3,25,Male,No,3,0
+Masters,2013,New Delhi,2,24,Male,No,2,1
+Bachelors,2018,Pune,3,26,Male,No,4,1
+Bachelors,2016,New Delhi,3,28,Female,No,2,0
+Bachelors,2016,Pune,3,26,Male,No,4,0
+Masters,2014,New Delhi,3,24,Male,No,2,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Pune,2,26,Female,No,4,1
+Bachelors,2014,Pune,3,25,Male,No,3,0
+Bachelors,2013,Pune,3,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,27,Male,No,5,1
+Bachelors,2015,Bangalore,3,25,Female,No,3,1
+Bachelors,2016,Pune,3,26,Male,No,4,0
+Bachelors,2015,Pune,2,27,Female,No,5,1
+Bachelors,2017,Bangalore,3,26,Male,No,4,0
+Masters,2017,Pune,2,26,Female,No,4,0
+Bachelors,2017,New Delhi,3,27,Female,Yes,5,0
+Masters,2017,Pune,1,24,Male,No,2,0
+Masters,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2015,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Masters,2017,Pune,2,24,Male,No,2,1
+Bachelors,2017,Bangalore,3,26,Female,No,4,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Bangalore,3,28,Male,Yes,1,1
+Masters,2017,New Delhi,2,24,Male,No,2,0
+Bachelors,2013,Pune,2,25,Female,No,3,1
+Masters,2013,Bangalore,3,27,Male,No,5,1
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,New Delhi,2,28,Female,Yes,2,1
+Bachelors,2014,Pune,2,24,Female,No,2,1
+Bachelors,2016,Pune,2,27,Female,No,5,1
+Bachelors,2017,Bangalore,3,27,Female,No,5,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Pune,2,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2018,Bangalore,3,27,Male,Yes,5,1
+Bachelors,2016,Bangalore,3,24,Male,No,2,0
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2013,New Delhi,2,24,Female,No,2,1
+Bachelors,2012,Bangalore,3,26,Female,No,4,0
+Bachelors,2015,Pune,2,28,Female,Yes,2,1
+Bachelors,2018,Bangalore,3,26,Male,No,4,1
+Bachelors,2016,Bangalore,3,24,Female,No,2,0
+Masters,2017,Pune,3,24,Male,No,2,1
+Masters,2016,Pune,3,24,Male,No,2,0
+Bachelors,2013,Bangalore,3,28,Male,Yes,1,1
+Bachelors,2015,Bangalore,1,28,Female,No,1,0
+PHD,2018,Bangalore,3,24,Female,No,2,1
+Bachelors,2016,Bangalore,3,26,Male,Yes,4,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,25,Male,No,3,1
+Masters,2016,New Delhi,3,24,Male,No,2,1
+Bachelors,2017,New Delhi,1,25,Female,No,3,0
+Bachelors,2013,Bangalore,3,28,Male,No,3,0
+Bachelors,2018,Bangalore,3,28,Male,No,1,1
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Masters,2014,New Delhi,3,24,Male,No,2,1
+PHD,2012,New Delhi,3,24,Male,No,2,0
+Bachelors,2017,Bangalore,3,25,Female,No,3,0
+Masters,2014,New Delhi,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,27,Female,No,5,0
+Bachelors,2014,Pune,3,25,Male,No,3,1
+Bachelors,2012,Bangalore,3,28,Male,No,3,0
+Bachelors,2012,Bangalore,3,25,Female,No,3,0
+Bachelors,2015,Bangalore,3,24,Female,No,2,0
+Bachelors,2013,Pune,3,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Bachelors,2012,Pune,2,26,Male,No,4,0
+Masters,2017,Bangalore,3,28,Female,No,3,1
+Bachelors,2015,Bangalore,3,25,Male,No,3,1
+Bachelors,2012,Bangalore,3,28,Female,No,2,0
+Bachelors,2017,Pune,2,26,Female,No,4,1
+Bachelors,2012,Bangalore,3,27,Female,No,5,0
+Masters,2016,New Delhi,3,28,Male,No,1,0
+Bachelors,2015,Pune,2,28,Female,No,1,1
+Masters,2017,Pune,3,24,Male,No,2,1
+Bachelors,2015,Pune,2,25,Female,No,3,1
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2016,Bangalore,3,28,Male,No,3,0
+Bachelors,2016,New Delhi,3,25,Female,Yes,3,0
+Masters,2015,New Delhi,3,26,Male,No,4,1
+Masters,2015,New Delhi,3,28,Female,No,3,0
+Bachelors,2013,New Delhi,1,24,Female,No,2,1
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2018,Bangalore,3,26,Male,No,4,1
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,New Delhi,3,25,Female,No,3,1
+Bachelors,2017,New Delhi,3,28,Male,No,2,0
+Bachelors,2016,Pune,1,25,Female,No,3,1
+Masters,2013,New Delhi,3,25,Male,Yes,3,1
+Bachelors,2017,Bangalore,3,24,Female,No,2,0
+Masters,2013,New Delhi,3,25,Female,No,3,1
+Bachelors,2013,Bangalore,1,28,Female,No,2,0
+Masters,2014,Bangalore,3,27,Female,No,5,1
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,25,Male,No,3,0
+Bachelors,2015,Pune,2,26,Female,Yes,4,1
+Bachelors,2017,New Delhi,3,25,Male,No,3,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Pune,2,27,Male,Yes,5,0
+Bachelors,2015,Pune,2,25,Female,No,3,1
+Bachelors,2016,Bangalore,3,25,Male,Yes,3,0
+Bachelors,2017,Bangalore,3,25,Male,No,3,1
+Bachelors,2016,Pune,3,28,Male,No,1,0
+Bachelors,2018,Bangalore,3,24,Male,No,2,1
+Masters,2015,Pune,3,28,Female,No,3,0
+Bachelors,2017,Bangalore,3,26,Male,No,4,0
+Masters,2017,Pune,2,26,Male,No,4,1
+Bachelors,2017,New Delhi,2,27,Female,No,5,0
+Bachelors,2013,Pune,2,26,Female,No,4,1
+Bachelors,2012,Bangalore,3,24,Male,No,2,0
+Bachelors,2013,New Delhi,3,28,Female,Yes,3,0
+Masters,2015,Pune,2,24,Female,No,2,0
+Bachelors,2016,Bangalore,3,25,Male,No,3,0
+Masters,2017,New Delhi,2,25,Male,No,3,1
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,24,Male,No,2,0
+Bachelors,2012,Pune,2,25,Male,No,3,1
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2017,Bangalore,3,27,Female,No,5,1
+Bachelors,2017,New Delhi,3,27,Female,No,5,0
+Bachelors,2013,Pune,3,27,Male,No,5,0
+Bachelors,2015,Pune,2,24,Female,Yes,2,1
+Bachelors,2017,Bangalore,3,24,Female,Yes,2,0
+PHD,2015,New Delhi,3,28,Female,No,1,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Masters,2017,New Delhi,2,28,Female,No,2,0
+Bachelors,2017,New Delhi,2,25,Female,No,3,0
+Bachelors,2014,Pune,2,25,Female,No,3,1
+Bachelors,2016,New Delhi,3,28,Female,Yes,3,0
+Bachelors,2015,Pune,2,27,Female,No,5,1
+Masters,2017,Pune,2,25,Male,No,3,1
+Masters,2017,Bangalore,2,25,Female,Yes,3,1
+Bachelors,2017,Bangalore,3,24,Female,No,2,1
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Bachelors,2018,Bangalore,3,24,Male,Yes,2,1
+Bachelors,2016,New Delhi,3,28,Male,No,1,0
+Masters,2017,New Delhi,2,24,Male,No,2,1
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,24,Male,No,2,1
+Masters,2014,New Delhi,3,25,Female,No,3,1
+Bachelors,2012,Bangalore,3,27,Female,No,5,0
+Bachelors,2012,New Delhi,3,27,Female,No,5,0
+Bachelors,2017,Bangalore,3,28,Male,No,2,1
+Bachelors,2012,Bangalore,3,28,Male,Yes,3,1
+Bachelors,2012,Pune,3,28,Female,No,2,0
+Bachelors,2018,Bangalore,3,24,Female,No,2,1
+PHD,2016,New Delhi,3,24,Female,No,2,0
+Masters,2017,New Delhi,2,27,Female,No,5,1
+Masters,2013,New Delhi,2,27,Female,No,5,1
+Bachelors,2015,Bangalore,3,26,Female,No,4,0
+Masters,2015,New Delhi,3,28,Female,No,1,1
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2013,New Delhi,3,25,Female,No,3,0
+Bachelors,2015,Bangalore,3,26,Female,No,4,1
+Bachelors,2012,Pune,3,24,Male,No,2,0
+Bachelors,2012,Bangalore,3,26,Female,No,4,0
+Masters,2015,Pune,2,25,Female,No,3,1
+Bachelors,2013,New Delhi,3,24,Male,No,2,0
+Masters,2017,New Delhi,2,27,Female,No,5,0
+Masters,2017,Pune,2,26,Male,No,4,0
+Bachelors,2014,Pune,3,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,25,Male,No,3,1
+Bachelors,2014,Bangalore,3,25,Female,No,3,0
+Bachelors,2013,Pune,2,27,Female,No,5,1
+Bachelors,2015,Pune,3,26,Male,No,4,0
+Bachelors,2017,Pune,2,24,Male,No,2,1
+Masters,2017,New Delhi,2,26,Male,No,4,1
+Bachelors,2013,Pune,2,25,Male,Yes,3,1
+Masters,2017,New Delhi,2,25,Female,No,3,1
+Bachelors,2013,Pune,3,26,Female,Yes,4,0
+Bachelors,2014,Pune,3,28,Male,No,2,0
+Bachelors,2016,New Delhi,3,27,Female,No,5,0
+Bachelors,2017,New Delhi,2,28,Male,No,1,0
+Masters,2014,New Delhi,3,27,Male,No,5,0
+Bachelors,2014,New Delhi,3,28,Female,No,1,0
+Bachelors,2015,Bangalore,3,27,Male,No,5,1
+Bachelors,2015,Bangalore,3,24,Male,No,2,1
+Bachelors,2018,Bangalore,3,24,Male,No,2,1
+Bachelors,2013,Pune,3,26,Male,No,4,0
+Bachelors,2012,Bangalore,3,28,Female,No,2,0
+Masters,2017,Pune,2,26,Male,No,4,0
+Masters,2017,New Delhi,2,25,Male,No,3,1
+Bachelors,2016,New Delhi,3,27,Female,No,5,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Pune,3,25,Male,No,3,0
+Bachelors,2012,New Delhi,3,26,Female,Yes,4,0
+Masters,2014,Bangalore,3,27,Male,No,5,1
+Masters,2017,New Delhi,2,26,Male,No,4,0
+Masters,2012,New Delhi,3,26,Male,No,4,1
+Bachelors,2015,Pune,2,26,Female,No,4,1
+Masters,2014,New Delhi,3,25,Male,No,3,0
+Bachelors,2015,Bangalore,3,28,Male,Yes,2,0
+Masters,2012,Pune,3,27,Male,No,5,1
+Bachelors,2017,Bangalore,2,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,24,Male,No,2,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,1
+Bachelors,2017,Bangalore,3,24,Female,No,2,0
+Bachelors,2017,Bangalore,3,28,Male,No,1,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,1
+Bachelors,2018,Bangalore,3,28,Female,No,3,1
+Bachelors,2014,New Delhi,3,24,Female,No,2,0
+Bachelors,2017,Bangalore,1,27,Male,No,5,0
+Bachelors,2015,New Delhi,3,24,Female,No,2,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,Pune,3,28,Male,No,3,0
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,25,Female,No,3,0
+Bachelors,2018,Bangalore,3,25,Male,No,3,1
+Bachelors,2013,Bangalore,3,28,Female,No,3,0
+Bachelors,2017,New Delhi,3,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Masters,2017,New Delhi,2,26,Female,No,4,1
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2017,Pune,3,27,Male,No,5,0
+Bachelors,2012,Pune,3,27,Male,No,5,0
+Bachelors,2017,Pune,3,24,Male,No,2,0
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2014,Bangalore,3,28,Male,No,3,0
+Bachelors,2018,Bangalore,3,26,Male,No,4,1
+Masters,2017,Bangalore,3,28,Male,No,1,1
+Bachelors,2018,Bangalore,3,27,Male,Yes,5,1
+Bachelors,2017,Bangalore,3,28,Male,Yes,1,0
+Bachelors,2016,Bangalore,3,25,Male,No,3,0
+Bachelors,2013,Pune,3,24,Female,No,2,0
+Bachelors,2018,New Delhi,3,25,Female,No,3,1
+Bachelors,2014,Bangalore,3,24,Female,No,2,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Masters,2013,New Delhi,1,24,Female,No,2,0
+Masters,2013,New Delhi,1,24,Male,Yes,2,1
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,New Delhi,2,25,Male,No,3,0
+Bachelors,2015,Bangalore,3,28,Female,No,1,0
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+PHD,2018,New Delhi,3,24,Female,No,2,1
+Bachelors,2015,Pune,3,28,Male,No,1,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+PHD,2015,Pune,2,28,Female,No,1,0
+Bachelors,2018,Bangalore,3,25,Male,Yes,3,1
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Bangalore,3,27,Female,No,5,1
+Bachelors,2017,Pune,3,24,Male,No,2,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Masters,2012,New Delhi,3,28,Male,No,2,0
+Bachelors,2012,Bangalore,3,28,Male,No,3,0
+Bachelors,2012,Pune,2,27,Female,No,5,1
+Bachelors,2012,New Delhi,2,27,Female,No,5,1
+Masters,2012,Bangalore,3,27,Male,No,5,1
+Bachelors,2018,Bangalore,3,25,Female,No,3,1
+Masters,2018,Pune,3,27,Male,No,5,1
+Masters,2017,New Delhi,2,28,Male,No,2,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Masters,2017,Bangalore,2,28,Male,Yes,2,1
+Bachelors,2017,Pune,3,27,Male,No,5,0
+Bachelors,2017,Pune,3,28,Female,No,1,0
+Bachelors,2016,Bangalore,3,28,Male,No,3,0
+Bachelors,2014,New Delhi,3,26,Female,No,4,0
+Bachelors,2018,Bangalore,3,25,Male,No,3,1
+Bachelors,2017,New Delhi,3,26,Female,No,4,0
+Bachelors,2015,Pune,2,26,Female,No,4,1
+Bachelors,2017,New Delhi,3,26,Male,No,4,0
+Bachelors,2012,Bangalore,3,25,Female,Yes,3,0
+Bachelors,2017,Bangalore,3,25,Male,Yes,3,0
+Bachelors,2013,Bangalore,3,28,Female,No,1,1
+Bachelors,2013,Pune,3,24,Female,No,2,1
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Masters,2017,New Delhi,3,25,Male,No,3,1
+Bachelors,2015,Pune,2,27,Female,No,5,1
+Masters,2017,Pune,2,28,Male,No,3,0
+Masters,2017,New Delhi,3,26,Male,No,4,0
+Masters,2017,Pune,2,24,Female,No,2,0
+Masters,2015,Pune,1,26,Female,No,4,0
+Masters,2013,Pune,3,26,Male,No,4,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Pune,3,24,Male,No,2,0
+PHD,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,24,Male,No,2,1
+Bachelors,2014,Pune,3,25,Male,No,3,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,28,Male,No,3,0
+Bachelors,2014,Pune,3,25,Male,No,3,0
+Masters,2018,New Delhi,3,25,Female,No,3,1
+Bachelors,2013,Pune,2,25,Female,No,3,1
+PHD,2013,New Delhi,3,26,Male,No,4,0
+Bachelors,2015,New Delhi,3,28,Female,No,3,0
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Masters,2018,New Delhi,1,26,Female,No,4,1
+Bachelors,2013,Pune,2,24,Female,No,2,1
+Bachelors,2018,Bangalore,3,24,Male,No,2,1
+PHD,2016,Pune,1,25,Female,No,3,1
+Bachelors,2014,Pune,3,26,Male,No,4,1
+Masters,2015,Pune,1,27,Female,No,5,0
+Bachelors,2013,Pune,3,28,Female,No,2,1
+Bachelors,2016,Bangalore,1,27,Female,No,5,0
+Bachelors,2014,New Delhi,3,24,Male,No,2,0
+Bachelors,2016,Bangalore,3,26,Male,Yes,4,0
+Bachelors,2015,Pune,3,25,Female,No,3,1
+Bachelors,2013,Bangalore,3,24,Male,No,2,0
+Bachelors,2015,Bangalore,3,25,Female,No,3,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Pune,3,26,Male,No,4,0
+Masters,2016,Bangalore,3,26,Female,No,4,1
+Bachelors,2018,Bangalore,3,27,Female,No,5,1
+Bachelors,2017,Bangalore,3,24,Female,No,2,0
+Bachelors,2014,New Delhi,3,24,Female,No,2,0
+Bachelors,2013,Pune,3,26,Male,Yes,4,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Pune,2,26,Female,No,4,1
+Bachelors,2016,New Delhi,3,28,Female,No,5,0
+Bachelors,2015,Bangalore,3,28,Male,No,5,0
+Bachelors,2012,Pune,2,26,Female,No,4,1
+Bachelors,2013,New Delhi,3,26,Female,No,4,0
+Bachelors,2013,Pune,3,24,Male,No,2,0
+Masters,2017,New Delhi,3,28,Female,No,3,0
+Bachelors,2012,New Delhi,3,27,Female,No,5,0
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+Bachelors,2012,New Delhi,3,24,Female,No,2,1
+Masters,2015,Pune,1,24,Male,No,2,0
+Masters,2013,New Delhi,3,27,Male,No,5,1
+Bachelors,2017,New Delhi,3,24,Female,No,2,1
+Bachelors,2014,Bangalore,3,28,Male,No,1,1
+Bachelors,2015,Bangalore,3,28,Female,No,1,0
+Masters,2013,New Delhi,3,27,Male,No,5,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+Masters,2015,New Delhi,3,24,Male,No,2,1
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2014,Bangalore,3,25,Female,No,3,0
+Bachelors,2017,Bangalore,1,24,Male,No,2,0
+Bachelors,2014,New Delhi,3,27,Female,No,5,1
+Bachelors,2013,Bangalore,3,27,Female,No,5,0
+Bachelors,2012,Bangalore,3,28,Female,No,2,0
+Bachelors,2015,Bangalore,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Pune,1,27,Female,No,5,1
+Bachelors,2014,New Delhi,3,27,Female,Yes,5,0
+Bachelors,2014,Bangalore,3,28,Male,No,4,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,1
+Bachelors,2014,Bangalore,3,28,Female,No,1,0
+Masters,2018,New Delhi,3,25,Female,No,3,1
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,24,Male,Yes,2,1
+Masters,2017,Pune,2,25,Female,No,3,1
+Bachelors,2017,New Delhi,2,27,Female,No,5,0
+Bachelors,2016,Bangalore,3,28,Male,No,3,1
+Bachelors,2015,Pune,2,25,Female,Yes,3,1
+Masters,2017,New Delhi,3,24,Male,No,2,0
+Bachelors,2015,Bangalore,3,28,Male,No,4,0
+Masters,2014,Pune,3,26,Male,No,4,1
+Bachelors,2013,Pune,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Masters,2013,New Delhi,1,24,Female,No,2,1
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2018,Bangalore,3,27,Male,No,5,1
+Bachelors,2013,Bangalore,3,28,Male,No,1,0
+Bachelors,2016,Pune,2,28,Female,No,4,1
+Bachelors,2012,Bangalore,3,28,Male,No,1,0
+Bachelors,2017,New Delhi,3,25,Female,No,3,0
+Bachelors,2018,Bangalore,3,25,Male,Yes,3,1
+Bachelors,2012,Pune,1,27,Female,No,5,1
+Masters,2017,New Delhi,3,24,Male,No,2,0
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,25,Female,No,3,1
+Bachelors,2017,Bangalore,3,28,Male,No,2,0
+Bachelors,2015,Pune,3,25,Female,No,3,1
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Bachelors,2018,Bangalore,3,24,Male,Yes,2,1
+Bachelors,2016,Bangalore,3,28,Male,Yes,4,0
+Bachelors,2014,Bangalore,3,26,Female,No,4,0
+Bachelors,2017,Bangalore,3,28,Male,No,1,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2016,New Delhi,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,27,Female,No,5,0
+Bachelors,2014,Bangalore,3,27,Female,Yes,5,1
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+PHD,2015,New Delhi,2,24,Female,No,2,0
+Bachelors,2018,Bangalore,3,26,Male,No,4,1
+Bachelors,2017,New Delhi,2,24,Female,No,2,0
+PHD,2015,Pune,1,25,Female,No,3,1
+Bachelors,2017,New Delhi,3,24,Male,No,2,0
+Bachelors,2013,Bangalore,3,25,Female,No,3,0
+Bachelors,2014,Bangalore,3,24,Male,Yes,2,0
+Masters,2018,New Delhi,3,26,Male,Yes,4,1
+Bachelors,2015,Bangalore,2,25,Female,No,3,1
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Masters,2012,New Delhi,3,28,Male,Yes,2,0
+Bachelors,2015,Bangalore,3,24,Female,No,2,0
+Bachelors,2012,Bangalore,3,24,Male,No,2,0
+PHD,2018,New Delhi,3,27,Female,No,5,1
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Bachelors,2012,Bangalore,3,28,Male,No,5,0
+Bachelors,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2013,Bangalore,3,25,Male,No,3,0
+Masters,2018,Pune,3,24,Male,No,2,1
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2016,New Delhi,3,28,Female,No,2,0
+Masters,2017,New Delhi,2,27,Male,Yes,5,1
+Bachelors,2018,Pune,2,27,Female,No,5,1
+Masters,2014,New Delhi,3,28,Female,No,4,0
+Masters,2017,New Delhi,3,25,Female,No,3,0
+Masters,2017,Bangalore,3,26,Female,No,4,0
+Bachelors,2015,Pune,2,27,Female,No,5,1
+Bachelors,2013,New Delhi,3,27,Female,No,5,0
+Masters,2017,New Delhi,1,26,Female,No,4,0
+Bachelors,2013,New Delhi,3,27,Female,No,5,0
+Bachelors,2012,New Delhi,3,28,Male,No,3,0
+Masters,2017,Pune,2,27,Male,No,5,1
+Bachelors,2017,New Delhi,3,26,Female,No,4,0
+Bachelors,2013,Bangalore,3,28,Female,No,4,1
+Masters,2012,New Delhi,3,27,Male,Yes,5,1
+Bachelors,2017,Pune,2,24,Male,No,2,0
+Masters,2017,New Delhi,3,25,Female,No,3,1
+Bachelors,2018,Bangalore,3,25,Female,Yes,3,1
+Bachelors,2016,Bangalore,3,28,Male,Yes,4,0
+Masters,2017,New Delhi,3,28,Male,No,2,0
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2016,Bangalore,3,26,Male,Yes,4,0
+Bachelors,2014,Pune,3,24,Female,No,2,1
+Bachelors,2013,Pune,3,26,Male,No,4,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,24,Male,No,2,1
+Bachelors,2017,Bangalore,1,26,Female,No,4,0
+Bachelors,2015,Bangalore,3,28,Female,No,3,0
+Bachelors,2013,Bangalore,3,28,Male,No,3,1
+Bachelors,2012,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Masters,2013,New Delhi,2,27,Female,No,5,1
+Bachelors,2016,New Delhi,3,24,Female,No,2,0
+Bachelors,2015,Pune,2,28,Female,No,2,1
+Bachelors,2015,New Delhi,2,25,Female,No,3,1
+Bachelors,2014,Pune,3,24,Male,No,2,0
+Bachelors,2017,New Delhi,3,27,Female,No,5,0
+Bachelors,2012,New Delhi,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,28,Male,No,0,0
+Bachelors,2012,Pune,3,28,Male,No,5,0
+Bachelors,2015,Pune,2,26,Female,No,4,1
+Bachelors,2016,Bangalore,1,26,Male,No,4,0
+Masters,2017,New Delhi,2,28,Female,Yes,2,1
+Masters,2017,New Delhi,2,25,Male,No,3,1
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Bachelors,2013,Bangalore,3,28,Male,No,0,0
+Bachelors,2014,Pune,3,27,Male,No,5,1
+Bachelors,2016,Pune,2,26,Female,No,4,1
+Bachelors,2018,Bangalore,3,27,Female,Yes,5,1
+Bachelors,2012,Pune,3,28,Male,No,4,0
+Bachelors,2013,Pune,2,26,Female,No,4,1
+Bachelors,2014,Bangalore,3,28,Female,No,3,0
+Masters,2017,New Delhi,2,28,Female,No,2,0
+Bachelors,2012,New Delhi,1,27,Female,No,5,0
+Bachelors,2017,New Delhi,2,27,Male,No,5,0
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2013,Pune,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,27,Female,No,5,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Masters,2012,New Delhi,3,24,Male,No,2,0
+Bachelors,2013,New Delhi,2,25,Female,No,3,1
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+Bachelors,2018,Bangalore,3,25,Male,No,3,1
+Masters,2013,Pune,3,25,Male,Yes,3,1
+Bachelors,2013,Pune,3,24,Female,No,2,0
+Bachelors,2015,Pune,3,24,Female,No,2,1
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Masters,2012,New Delhi,3,26,Female,No,4,1
+Bachelors,2015,Pune,3,25,Male,No,3,0
+Bachelors,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2013,Bangalore,3,28,Male,No,3,0
+Bachelors,2016,Pune,2,28,Female,No,0,1
+Bachelors,2012,New Delhi,3,24,Male,No,2,0
+Bachelors,2015,New Delhi,3,28,Male,No,1,0
+Bachelors,2017,Bangalore,1,24,Male,No,2,0
+Masters,2017,Pune,2,28,Female,No,4,0
+Bachelors,2017,Pune,3,24,Male,No,2,0
+Bachelors,2016,Bangalore,3,27,Female,No,5,0
+Bachelors,2015,Pune,3,28,Male,No,2,0
+Bachelors,2016,Bangalore,3,28,Female,No,5,0
+Bachelors,2018,Bangalore,3,25,Male,No,3,1
+Bachelors,2015,Bangalore,3,28,Female,No,5,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,1
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Bangalore,1,24,Male,No,2,0
+Bachelors,2012,Bangalore,3,27,Female,No,5,0
+Bachelors,2012,Bangalore,3,25,Male,No,3,1
+Bachelors,2015,Pune,3,28,Female,No,4,1
+Masters,2017,Bangalore,2,24,Female,Yes,2,1
+Bachelors,2014,Bangalore,3,28,Male,No,2,0
+Masters,2017,Pune,2,24,Female,No,2,1
+Bachelors,2014,New Delhi,3,26,Female,No,4,1
+Bachelors,2015,Pune,2,28,Female,No,3,1
+Masters,2013,Pune,2,28,Male,No,5,1
+Bachelors,2013,New Delhi,1,28,Female,No,5,1
+Bachelors,2015,Pune,2,26,Female,Yes,4,1
+Masters,2015,New Delhi,3,28,Male,No,2,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,28,Male,No,2,1
+Bachelors,2012,Pune,3,28,Male,No,2,0
+Bachelors,2014,Pune,3,27,Female,No,5,1
+Masters,2018,New Delhi,3,24,Male,No,2,1
+Bachelors,2018,Bangalore,3,25,Male,Yes,3,1
+Bachelors,2017,New Delhi,2,25,Male,No,3,0
+Bachelors,2014,Pune,3,24,Female,No,2,1
+Bachelors,2012,New Delhi,3,26,Female,No,4,0
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,28,Male,No,4,0
+Bachelors,2018,Bangalore,3,26,Male,Yes,4,1
+Bachelors,2013,Pune,2,26,Male,No,4,0
+Bachelors,2013,Pune,2,25,Female,No,3,1
+Bachelors,2018,Pune,3,25,Male,Yes,3,1
+Bachelors,2013,Bangalore,3,25,Female,No,3,0
+Bachelors,2014,Bangalore,3,28,Male,No,4,0
+Masters,2017,New Delhi,3,24,Female,No,2,0
+Masters,2017,Pune,2,27,Female,No,5,0
+Bachelors,2012,Bangalore,3,24,Male,No,2,0
+Bachelors,2017,Pune,3,27,Female,No,5,1
+Masters,2017,New Delhi,2,28,Male,No,4,0
+Bachelors,2017,New Delhi,2,25,Male,No,3,0
+Bachelors,2017,Pune,3,25,Male,Yes,3,1
+Masters,2017,Pune,2,24,Female,No,2,1
+Bachelors,2013,Pune,3,27,Male,Yes,5,1
+Bachelors,2016,Bangalore,3,26,Female,No,4,1
+Bachelors,2015,Pune,2,27,Female,No,5,1
+Bachelors,2014,Bangalore,3,27,Male,No,5,1
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2016,Pune,2,27,Female,No,5,1
+Masters,2017,Bangalore,2,28,Male,No,2,0
+Masters,2017,New Delhi,3,24,Female,No,2,1
+Bachelors,2017,Pune,3,24,Male,No,2,0
+Bachelors,2018,Bangalore,3,24,Male,No,2,1
+Masters,2017,New Delhi,2,28,Male,No,3,0
+Bachelors,2015,Bangalore,3,26,Female,Yes,4,0
+Bachelors,2018,Pune,3,26,Female,No,4,1
+Bachelors,2013,Bangalore,3,25,Male,Yes,3,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Masters,2018,Pune,3,28,Male,No,2,1
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,27,Female,No,5,0
+PHD,2016,New Delhi,3,27,Male,No,5,0
+Bachelors,2017,New Delhi,2,25,Male,No,3,0
+Bachelors,2015,New Delhi,3,28,Female,No,2,0
+Bachelors,2013,Pune,2,26,Female,No,4,1
+Bachelors,2017,Bangalore,3,27,Female,No,5,0
+Bachelors,2015,Pune,2,24,Female,No,2,1
+Bachelors,2017,Bangalore,3,27,Female,No,5,0
+Bachelors,2016,Bangalore,3,25,Male,No,3,1
+Bachelors,2018,Bangalore,3,26,Male,No,4,1
+Bachelors,2015,Bangalore,3,27,Male,No,5,0
+Bachelors,2014,Pune,3,24,Male,No,2,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2013,Pune,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,1,25,Male,No,3,0
+Masters,2017,New Delhi,2,25,Female,No,3,0
+PHD,2015,Pune,3,28,Male,No,0,0
+Bachelors,2015,Bangalore,3,28,Male,No,3,0
+Bachelors,2016,Bangalore,3,28,Male,No,5,0
+PHD,2013,New Delhi,3,24,Male,No,2,0
+Bachelors,2014,Bangalore,3,26,Male,Yes,4,0
+Bachelors,2015,Pune,2,26,Female,Yes,4,1
+Bachelors,2017,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2014,New Delhi,3,26,Male,No,4,0
+Masters,2013,Bangalore,3,27,Male,No,5,1
+Bachelors,2016,Pune,3,24,Male,Yes,2,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Pune,2,28,Female,No,2,1
+Masters,2017,Bangalore,2,24,Male,No,2,1
+Masters,2017,New Delhi,2,24,Male,No,2,1
+Masters,2015,Pune,2,24,Female,No,2,1
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2016,Pune,2,27,Female,No,5,1
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+Masters,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2016,Bangalore,1,25,Female,No,3,0
+PHD,2014,Bangalore,1,25,Female,No,3,0
+Bachelors,2013,Bangalore,3,25,Female,No,3,0
+Bachelors,2014,New Delhi,3,24,Male,No,2,0
+Bachelors,2015,Pune,2,28,Female,Yes,2,1
+Bachelors,2014,New Delhi,3,28,Male,No,5,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2018,Pune,3,26,Male,No,4,1
+Masters,2015,Pune,2,28,Female,No,2,0
+Masters,2013,New Delhi,3,28,Male,No,2,1
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Masters,2015,New Delhi,2,26,Female,No,4,0
+Bachelors,2016,New Delhi,3,27,Male,No,5,0
+Bachelors,2014,Bangalore,3,24,Female,No,2,0
+Masters,2017,Pune,3,24,Female,No,2,0
+Bachelors,2014,Pune,3,25,Female,No,3,1
+Bachelors,2015,Pune,3,27,Female,No,5,1
+Bachelors,2017,New Delhi,2,28,Male,No,0,0
+Bachelors,2017,New Delhi,3,25,Female,No,3,0
+Bachelors,2012,Pune,3,24,Male,No,2,1
+Masters,2016,New Delhi,3,25,Male,No,3,1
+Bachelors,2015,Pune,2,26,Female,No,4,1
+Masters,2014,New Delhi,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,24,Female,No,2,1
+Bachelors,2014,New Delhi,3,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Bachelors,2017,New Delhi,3,24,Female,No,2,1
+Bachelors,2012,Bangalore,3,28,Male,No,1,0
+Bachelors,2014,Bangalore,1,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,28,Male,Yes,3,0
+Bachelors,2015,Pune,1,25,Female,No,3,1
+Bachelors,2015,Pune,2,24,Female,Yes,2,1
+Bachelors,2017,Pune,2,26,Male,No,4,0
+Bachelors,2015,Bangalore,3,28,Male,No,0,0
+Bachelors,2016,Bangalore,3,28,Male,No,2,0
+Bachelors,2013,Pune,3,28,Female,Yes,3,1
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Masters,2015,New Delhi,3,25,Male,No,3,0
+Bachelors,2012,New Delhi,3,28,Female,No,4,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Masters,2017,New Delhi,3,25,Male,No,3,1
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+Bachelors,2012,Bangalore,3,26,Female,No,4,0
+Bachelors,2017,Bangalore,3,26,Female,No,4,0
+Masters,2017,New Delhi,2,25,Male,Yes,3,1
+Bachelors,2015,Bangalore,3,25,Male,No,3,0
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Bachelors,2017,Pune,3,25,Female,No,3,1
+Bachelors,2014,New Delhi,3,28,Female,Yes,2,0
+Bachelors,2016,Bangalore,3,27,Female,No,5,0
+Bachelors,2018,Bangalore,3,25,Male,No,3,1
+Bachelors,2012,Bangalore,3,27,Female,Yes,5,0
+Bachelors,2017,New Delhi,3,27,Female,No,5,0
+Bachelors,2016,Bangalore,2,25,Male,No,3,1
+Bachelors,2016,Bangalore,3,28,Female,No,4,0
+Bachelors,2017,New Delhi,2,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,24,Female,No,2,0
+Bachelors,2013,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,New Delhi,2,25,Female,No,3,0
+Bachelors,2015,Pune,3,24,Male,No,2,0
+Bachelors,2012,New Delhi,3,25,Female,No,3,0
+PHD,2017,New Delhi,3,27,Female,No,5,0
+Bachelors,2014,Bangalore,3,25,Female,No,3,1
+Masters,2017,Bangalore,3,28,Male,No,2,0
+Bachelors,2016,Pune,3,25,Male,No,3,0
+Bachelors,2014,Bangalore,3,25,Male,Yes,3,0
+Bachelors,2012,New Delhi,3,27,Male,No,5,0
+Bachelors,2012,Pune,3,25,Female,No,3,1
+Masters,2015,New Delhi,3,27,Female,No,5,0
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2015,Pune,2,27,Female,No,5,1
+Bachelors,2014,Bangalore,3,25,Male,No,3,1
+Bachelors,2015,Bangalore,3,25,Male,No,3,0
+Bachelors,2018,New Delhi,3,26,Female,No,4,1
+Bachelors,2017,Pune,2,26,Female,No,4,1
+Bachelors,2014,Pune,2,24,Female,No,2,1
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,New Delhi,2,27,Male,No,5,0
+PHD,2012,New Delhi,3,28,Female,No,1,0
+Masters,2012,New Delhi,3,26,Female,No,4,1
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,28,Female,No,0,1
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2016,Pune,2,24,Female,No,2,1
+Bachelors,2015,Bangalore,1,24,Female,No,2,1
+Bachelors,2012,Bangalore,3,26,Female,No,4,0
+Masters,2014,Pune,3,27,Male,No,5,0
+Masters,2017,New Delhi,2,27,Male,No,5,1
+Masters,2017,New Delhi,1,25,Female,No,3,0
+Masters,2012,Pune,3,28,Male,No,0,1
+Masters,2012,New Delhi,3,28,Male,No,2,1
+Masters,2013,New Delhi,2,24,Male,No,2,1
+Bachelors,2015,Pune,3,25,Female,No,3,1
+Masters,2017,New Delhi,3,28,Male,No,5,0
+Bachelors,2013,Bangalore,3,24,Male,No,2,0
+Masters,2015,Bangalore,3,28,Male,No,1,1
+Bachelors,2018,Bangalore,3,27,Female,Yes,5,1
+Bachelors,2015,Bangalore,3,24,Male,No,2,1
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2013,New Delhi,3,25,Female,No,3,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2018,New Delhi,3,28,Female,No,0,1
+Bachelors,2013,Bangalore,3,25,Female,No,3,0
+PHD,2012,Pune,3,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,24,Male,No,2,0
+Bachelors,2013,Bangalore,3,28,Female,No,3,0
+Bachelors,2015,Pune,3,24,Male,No,2,0
+Bachelors,2013,Pune,3,27,Male,No,5,0
+Bachelors,2012,New Delhi,3,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,26,Female,Yes,4,1
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Pune,2,24,Female,No,2,1
+Bachelors,2016,Bangalore,3,24,Male,No,2,0
+PHD,2018,Bangalore,3,27,Female,No,5,1
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,New Delhi,1,26,Female,No,4,1
+Bachelors,2015,Pune,2,24,Female,No,2,1
+Bachelors,2013,Pune,3,27,Male,No,5,0
+PHD,2016,New Delhi,3,24,Female,No,2,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Bangalore,3,28,Male,No,5,0
+Bachelors,2015,Bangalore,3,26,Female,No,4,0
+Bachelors,2016,Bangalore,3,27,Female,No,5,0
+Bachelors,2017,Pune,3,25,Female,No,3,1
+Masters,2017,New Delhi,2,26,Male,No,4,1
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2014,Bangalore,3,26,Female,No,4,1
+Bachelors,2015,Pune,2,25,Female,No,3,1
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Pune,2,28,Male,No,1,1
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+PHD,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,New Delhi,3,25,Female,Yes,3,1
+Bachelors,2017,Bangalore,1,28,Female,No,3,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,New Delhi,3,27,Male,No,5,0
+Masters,2013,Pune,2,28,Male,No,2,1
+Bachelors,2013,New Delhi,3,25,Female,Yes,3,1
+Masters,2017,New Delhi,2,26,Male,No,4,0
+Masters,2016,New Delhi,3,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,28,Female,Yes,5,0
+Masters,2017,New Delhi,2,28,Female,No,2,0
+Bachelors,2012,Bangalore,1,27,Male,No,5,1
+Bachelors,2018,Bangalore,3,27,Male,No,5,1
+Bachelors,2016,Bangalore,3,24,Female,No,2,0
+Bachelors,2017,Pune,3,26,Male,No,4,0
+Bachelors,2017,New Delhi,3,25,Female,No,3,0
+Bachelors,2015,Pune,3,28,Female,Yes,5,1
+Bachelors,2015,Bangalore,3,26,Male,No,4,1
+Masters,2015,Pune,2,26,Female,Yes,4,1
+Masters,2015,Pune,3,25,Male,No,3,1
+Bachelors,2016,Pune,3,27,Female,No,5,1
+Bachelors,2013,Bangalore,3,25,Male,No,3,0
+Bachelors,2018,Pune,3,26,Male,Yes,4,1
+Bachelors,2014,Bangalore,3,27,Female,No,5,0
+Bachelors,2017,Bangalore,1,25,Male,No,3,0
+Bachelors,2015,New Delhi,3,26,Male,No,4,0
+Bachelors,2015,Pune,3,24,Female,No,2,1
+Bachelors,2015,Bangalore,3,28,Male,No,2,0
+Bachelors,2014,Pune,2,26,Female,No,4,1
+Bachelors,2017,Bangalore,3,27,Male,No,5,1
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2018,New Delhi,3,28,Female,No,5,1
+Bachelors,2015,Bangalore,3,28,Male,No,0,1
+Bachelors,2016,New Delhi,3,28,Female,No,3,0
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+Bachelors,2015,Pune,3,24,Female,No,2,1
+Masters,2018,New Delhi,3,28,Male,No,2,1
+Bachelors,2015,Bangalore,3,27,Female,No,5,0
+Bachelors,2017,Bangalore,3,24,Male,No,2,1
+Bachelors,2017,New Delhi,2,28,Female,No,0,0
+Bachelors,2015,Bangalore,3,25,Male,No,3,0
+Bachelors,2012,Bangalore,3,28,Male,No,2,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,1,24,Male,No,2,0
+Bachelors,2016,Pune,3,27,Male,No,5,0
+Bachelors,2013,Pune,3,24,Male,No,2,0
+Masters,2017,Pune,2,26,Female,No,4,1
+Bachelors,2017,New Delhi,3,26,Male,No,4,0
+Bachelors,2018,Pune,3,25,Female,No,3,1
+Bachelors,2018,Bangalore,3,24,Male,No,2,1
+Bachelors,2015,Pune,3,24,Male,Yes,2,0
+Bachelors,2013,Bangalore,3,24,Female,No,2,1
+Bachelors,2013,Pune,2,28,Male,Yes,0,1
+Bachelors,2018,Bangalore,3,24,Male,No,2,1
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2016,Bangalore,3,28,Female,No,5,0
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2014,Bangalore,3,26,Female,No,4,0
+Masters,2017,Bangalore,2,28,Male,No,2,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,27,Female,No,5,0
+Masters,2018,Bangalore,3,28,Male,No,2,1
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Bachelors,2012,Pune,3,24,Male,No,2,0
+Bachelors,2016,New Delhi,3,28,Male,No,0,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,24,Male,No,2,1
+Bachelors,2012,Bangalore,1,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,28,Female,No,5,0
+Bachelors,2014,Pune,3,25,Male,No,3,0
+Bachelors,2015,Pune,3,25,Male,No,3,0
+Bachelors,2017,Pune,2,28,Male,No,0,1
+Bachelors,2015,Pune,2,26,Female,No,4,1
+Bachelors,2015,Pune,2,27,Female,No,5,1
+Bachelors,2015,Pune,3,26,Female,No,4,1
+Bachelors,2015,Bangalore,2,28,Female,No,3,1
+Bachelors,2012,Pune,3,25,Male,No,3,0
+Bachelors,2013,Bangalore,3,25,Male,Yes,3,1
+Bachelors,2016,New Delhi,3,26,Male,No,4,0
+PHD,2018,New Delhi,3,24,Female,No,2,1
+Bachelors,2014,Bangalore,3,27,Female,No,5,0
+Masters,2017,New Delhi,2,26,Male,Yes,4,1
+Bachelors,2015,Pune,2,27,Female,No,5,1
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Masters,2017,Pune,2,25,Female,No,3,0
+Bachelors,2017,New Delhi,3,28,Female,No,2,0
+Bachelors,2014,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2012,Bangalore,3,24,Male,No,2,0
+Bachelors,2018,Pune,3,24,Male,No,2,1
+Bachelors,2015,Bangalore,3,27,Female,Yes,5,1
+Bachelors,2015,New Delhi,3,28,Female,No,3,0
+Bachelors,2015,Pune,3,27,Female,No,5,1
+Bachelors,2015,Bangalore,3,28,Male,No,5,0
+Bachelors,2015,New Delhi,2,27,Female,Yes,5,1
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+Masters,2017,New Delhi,3,27,Female,No,5,1
+Bachelors,2017,Pune,2,26,Female,No,4,1
+Bachelors,2015,Pune,3,27,Female,No,5,1
+Bachelors,2018,Pune,3,27,Female,No,5,1
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+PHD,2013,New Delhi,3,27,Female,No,5,1
+Bachelors,2016,Bangalore,3,28,Male,No,2,0
+Bachelors,2012,Bangalore,3,25,Female,Yes,3,0
+Bachelors,2015,Bangalore,3,27,Male,No,5,0
+Bachelors,2016,Pune,2,24,Female,No,2,1
+Bachelors,2016,Bangalore,3,26,Male,No,4,1
+Bachelors,2014,Pune,3,27,Male,Yes,5,0
+Bachelors,2013,Bangalore,3,24,Male,Yes,2,0
+Bachelors,2017,Bangalore,3,25,Male,No,3,1
+Bachelors,2017,Pune,2,24,Female,No,2,1
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Masters,2013,Bangalore,3,26,Female,No,4,1
+Bachelors,2012,Pune,3,25,Female,No,3,1
+Bachelors,2015,New Delhi,3,28,Female,No,2,0
+Masters,2017,New Delhi,2,24,Female,No,2,0
+Masters,2013,New Delhi,3,26,Male,No,4,1
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+PHD,2016,New Delhi,3,24,Female,No,2,0
+Bachelors,2017,New Delhi,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,New Delhi,3,28,Female,No,0,0
+PHD,2016,New Delhi,3,27,Female,No,5,0
+Masters,2014,Bangalore,3,28,Female,No,4,1
+Bachelors,2014,Bangalore,3,28,Female,No,2,0
+Bachelors,2017,Bangalore,3,24,Female,No,2,0
+Masters,2015,New Delhi,3,28,Male,No,0,0
+Bachelors,2015,Pune,2,25,Female,No,3,1
+Masters,2017,Pune,2,27,Male,No,5,1
+Bachelors,2014,Pune,2,25,Female,No,3,1
+Bachelors,2015,Pune,2,28,Female,Yes,2,1
+Bachelors,2013,Pune,3,25,Male,No,3,0
+Bachelors,2013,Pune,1,26,Female,No,4,1
+Bachelors,2012,Pune,2,27,Female,No,5,1
+Masters,2017,New Delhi,3,28,Male,No,0,0
+Bachelors,2012,Bangalore,3,28,Female,No,1,0
+Bachelors,2015,Pune,2,25,Female,Yes,3,1
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Bangalore,3,24,Female,No,2,0
+Bachelors,2018,New Delhi,3,24,Female,No,2,1
+Bachelors,2017,New Delhi,3,27,Female,Yes,5,0
+PHD,2012,Pune,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,25,Male,No,3,1
+Bachelors,2015,New Delhi,3,24,Female,No,2,0
+Bachelors,2013,Pune,3,24,Female,No,2,0
+Bachelors,2016,Pune,3,24,Male,No,2,0
+Bachelors,2018,Pune,3,24,Male,Yes,2,1
+Bachelors,2015,Bangalore,3,27,Female,Yes,5,1
+Bachelors,2018,Bangalore,3,26,Male,No,4,1
+Bachelors,2012,Pune,3,24,Female,No,2,1
+Masters,2017,New Delhi,3,27,Male,No,5,1
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,New Delhi,3,25,Female,No,3,0
+Bachelors,2018,Bangalore,3,24,Female,No,2,1
+Bachelors,2014,Bangalore,3,28,Male,No,4,0
+Bachelors,2013,Pune,1,26,Female,No,4,1
+Bachelors,2015,Bangalore,3,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,24,Male,No,2,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,1
+Bachelors,2013,Bangalore,3,25,Female,No,3,1
+Bachelors,2016,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2017,Pune,3,26,Male,No,4,0
+Bachelors,2018,Pune,2,28,Female,No,5,1
+Masters,2017,Pune,2,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,25,Female,No,3,0
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Bachelors,2017,New Delhi,2,25,Female,No,3,0
+Bachelors,2018,Pune,3,27,Female,No,5,1
+Bachelors,2016,Pune,3,27,Male,No,5,0
+Bachelors,2013,Bangalore,1,24,Male,No,2,0
+Bachelors,2012,Bangalore,1,28,Male,No,3,0
+Bachelors,2016,Pune,2,28,Female,No,3,1
+Bachelors,2016,Pune,3,24,Male,No,2,0
+Bachelors,2017,Bangalore,3,28,Male,No,3,0
+Bachelors,2017,Pune,2,28,Male,No,3,0
+Bachelors,2017,Bangalore,3,25,Female,No,3,1
+Bachelors,2015,Bangalore,3,25,Male,No,3,0
+Masters,2013,New Delhi,3,25,Male,No,3,1
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Bachelors,2013,Pune,3,27,Male,No,5,0
+Bachelors,2013,Pune,2,24,Female,No,2,1
+Bachelors,2017,Bangalore,3,28,Male,No,1,1
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2015,Pune,1,24,Female,No,2,1
+Masters,2013,New Delhi,3,24,Female,Yes,2,1
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,New Delhi,2,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Masters,2013,New Delhi,3,25,Male,No,3,1
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2014,Pune,2,28,Female,No,3,1
+Masters,2015,New Delhi,3,28,Male,No,2,0
+Bachelors,2015,Bangalore,3,28,Male,No,5,0
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Bachelors,2014,Pune,3,27,Male,No,5,0
+Bachelors,2015,Pune,2,28,Female,No,5,1
+Masters,2017,New Delhi,2,26,Female,No,4,1
+Bachelors,2016,New Delhi,3,26,Female,No,4,0
+Bachelors,2016,Bangalore,3,26,Female,No,4,0
+Bachelors,2013,New Delhi,3,27,Female,No,5,0
+Bachelors,2014,Bangalore,3,28,Male,No,3,0
+Bachelors,2017,New Delhi,3,25,Male,No,3,0
+Bachelors,2015,Bangalore,1,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,24,Female,No,2,0
+Bachelors,2014,Pune,2,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,24,Male,No,2,1
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Bachelors,2012,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2012,Bangalore,3,28,Male,No,1,0
+Masters,2017,New Delhi,2,25,Female,No,3,1
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2016,Pune,2,27,Female,No,5,1
+Bachelors,2017,Pune,3,28,Male,No,3,0
+Masters,2017,New Delhi,3,28,Male,No,2,0
+PHD,2018,Pune,3,26,Male,No,4,1
+Masters,2017,New Delhi,2,24,Male,No,2,1
+Bachelors,2014,Bangalore,3,28,Male,No,0,0
+Masters,2015,Pune,3,26,Female,No,4,0
+Bachelors,2016,Bangalore,3,27,Male,No,5,1
+Bachelors,2016,New Delhi,3,28,Female,No,4,0
+Bachelors,2012,Pune,3,26,Male,No,4,0
+Masters,2015,Bangalore,2,27,Female,No,5,1
+Masters,2017,Pune,1,28,Male,No,0,0
+Masters,2015,New Delhi,3,28,Female,No,2,0
+Bachelors,2017,Bangalore,3,26,Male,No,4,1
+Bachelors,2017,Pune,3,28,Female,No,4,1
+Bachelors,2015,Pune,3,25,Male,No,3,0
+Masters,2017,New Delhi,2,27,Female,No,5,0
+Masters,2015,Pune,2,27,Female,No,5,0
+Bachelors,2015,Bangalore,3,25,Male,No,3,1
+Bachelors,2013,Bangalore,3,28,Female,No,1,0
+Bachelors,2015,Pune,3,25,Female,No,3,1
+Bachelors,2012,Bangalore,3,28,Female,No,2,1
+Bachelors,2016,Pune,3,27,Female,No,5,1
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+PHD,2018,New Delhi,3,26,Male,No,4,1
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2018,Pune,3,28,Male,No,2,1
+Bachelors,2013,Bangalore,3,24,Male,No,2,0
+Bachelors,2013,New Delhi,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,28,Male,Yes,1,0
+Masters,2017,New Delhi,2,28,Female,No,2,0
+Bachelors,2016,Bangalore,1,24,Male,No,2,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2014,Pune,2,27,Female,No,5,1
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,New Delhi,3,27,Male,No,5,0
+Masters,2018,New Delhi,3,24,Male,No,2,1
+Bachelors,2016,Bangalore,3,26,Male,No,4,1
+Bachelors,2017,Bangalore,3,28,Male,Yes,3,0
+Bachelors,2017,New Delhi,3,26,Female,No,4,0
+Bachelors,2016,Pune,3,28,Male,No,3,0
+Bachelors,2015,New Delhi,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,1
+Bachelors,2017,Pune,2,24,Female,No,2,1
+Bachelors,2016,Bangalore,3,26,Male,No,4,1
+PHD,2016,New Delhi,1,26,Male,No,4,0
+Bachelors,2018,Bangalore,3,24,Female,No,2,1
+Bachelors,2017,Bangalore,2,28,Female,No,1,0
+Bachelors,2013,Bangalore,3,24,Female,No,2,0
+Masters,2014,New Delhi,3,25,Female,No,3,0
+Bachelors,2012,Pune,1,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,28,Male,No,5,0
+Bachelors,2013,Bangalore,3,28,Male,No,2,1
+Masters,2017,Pune,2,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,28,Male,Yes,0,0
+Bachelors,2014,New Delhi,3,25,Male,No,3,0
+Bachelors,2013,Bangalore,3,25,Female,No,3,1
+Bachelors,2017,Bangalore,3,24,Female,No,2,1
+Bachelors,2015,Bangalore,3,26,Female,No,4,0
+Bachelors,2014,Bangalore,3,28,Male,No,4,0
+Bachelors,2017,New Delhi,2,28,Male,No,0,0
+Masters,2017,New Delhi,3,24,Female,No,2,0
+PHD,2017,Pune,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,28,Female,No,5,0
+Bachelors,2017,New Delhi,3,25,Female,No,3,0
+Masters,2017,Bangalore,3,25,Male,No,3,0
+Masters,2017,Bangalore,1,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,25,Male,No,3,1
+Bachelors,2016,Bangalore,3,27,Male,No,5,1
+Bachelors,2013,Bangalore,3,24,Male,No,2,0
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Bachelors,2014,Pune,3,25,Male,No,3,1
+Bachelors,2018,Bangalore,3,25,Female,No,3,1
+Masters,2012,Pune,3,26,Male,No,4,1
+PHD,2016,Bangalore,3,25,Male,No,3,0
+Bachelors,2015,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,New Delhi,2,25,Male,No,3,1
+Bachelors,2015,New Delhi,3,27,Female,No,5,0
+Bachelors,2017,Pune,3,26,Male,No,4,0
+Bachelors,2016,Pune,3,26,Male,No,4,0
+Bachelors,2018,Bangalore,3,26,Male,No,4,1
+Masters,2018,New Delhi,3,25,Female,No,3,1
+Masters,2017,Pune,2,25,Male,No,3,0
+Masters,2014,Bangalore,3,24,Female,No,2,0
+Bachelors,2014,Pune,3,28,Female,No,2,1
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Pune,3,26,Male,No,4,0
+Bachelors,2014,Pune,2,28,Female,No,0,1
+Bachelors,2017,New Delhi,3,25,Female,Yes,3,0
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,26,Female,No,4,0
+Masters,2017,Bangalore,2,26,Male,No,4,1
+Bachelors,2017,New Delhi,3,25,Female,No,3,0
+Bachelors,2018,Bangalore,3,25,Male,No,3,1
+Bachelors,2014,New Delhi,3,27,Female,No,5,0
+Bachelors,2017,Bangalore,3,28,Male,No,5,0
+Bachelors,2015,Bangalore,1,24,Female,No,2,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,1
+Bachelors,2018,Bangalore,3,26,Female,No,4,1
+Masters,2017,New Delhi,2,28,Female,No,2,0
+Bachelors,2016,Pune,3,28,Female,No,4,1
+Bachelors,2016,Bangalore,3,25,Male,No,3,0
+Bachelors,2015,Pune,3,27,Female,Yes,5,1
+Bachelors,2015,Bangalore,3,26,Male,No,4,1
+Bachelors,2015,Pune,3,28,Female,Yes,5,1
+Bachelors,2013,Pune,3,27,Male,No,5,0
+Masters,2017,Pune,2,25,Male,No,3,0
+Bachelors,2015,Pune,2,25,Female,Yes,3,1
+Bachelors,2015,Pune,2,24,Female,No,2,1
+Masters,2017,New Delhi,2,28,Female,No,2,0
+Bachelors,2014,New Delhi,3,24,Female,No,2,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,1
+Bachelors,2015,Pune,2,28,Female,No,5,1
+Bachelors,2015,New Delhi,2,27,Female,No,5,1
+Bachelors,2017,Bangalore,3,24,Female,No,2,0
+Masters,2016,New Delhi,3,25,Female,No,3,0
+Bachelors,2012,Pune,3,24,Male,Yes,2,0
+Bachelors,2015,New Delhi,3,24,Female,No,2,0
+Bachelors,2015,Pune,2,26,Female,No,4,1
+Masters,2017,Pune,2,27,Female,No,5,0
+Bachelors,2013,Bangalore,1,24,Female,No,2,1
+PHD,2017,Pune,3,28,Male,No,1,0
+Bachelors,2017,Bangalore,3,24,Female,No,2,0
+Bachelors,2015,Pune,2,24,Female,No,2,1
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2016,New Delhi,3,28,Male,No,4,0
+Masters,2017,New Delhi,2,28,Female,No,2,0
+PHD,2014,New Delhi,3,24,Male,No,2,0
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Masters,2014,New Delhi,3,24,Male,No,2,0
+Bachelors,2013,New Delhi,3,24,Female,No,2,0
+Masters,2017,New Delhi,3,26,Male,No,4,1
+Bachelors,2014,Pune,2,27,Male,No,5,0
+Masters,2013,Bangalore,3,25,Male,No,3,1
+Masters,2012,New Delhi,3,27,Female,No,5,1
+Masters,2017,Bangalore,2,25,Male,No,3,0
+Bachelors,2012,New Delhi,3,28,Male,No,5,0
+Bachelors,2014,Bangalore,3,28,Male,No,0,0
+Bachelors,2017,New Delhi,3,28,Female,No,4,0
+Bachelors,2016,Pune,3,27,Male,No,5,1
+Bachelors,2017,New Delhi,2,27,Female,No,5,0
+PHD,2014,Bangalore,3,28,Female,No,0,0
+Bachelors,2013,Pune,2,25,Male,No,3,1
+Bachelors,2017,Pune,3,28,Male,No,3,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2013,Bangalore,2,24,Female,No,2,1
+Masters,2017,New Delhi,2,25,Male,No,3,0
+Bachelors,2014,Pune,3,24,Male,No,2,0
+Bachelors,2013,New Delhi,1,25,Female,No,3,1
+Bachelors,2015,Pune,3,28,Male,No,2,0
+Masters,2017,New Delhi,3,28,Male,No,1,1
+Bachelors,2017,New Delhi,2,27,Female,No,5,0
+Bachelors,2018,Pune,3,24,Male,No,2,1
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,27,Female,Yes,5,0
+Masters,2017,New Delhi,1,26,Female,No,4,1
+Masters,2017,Bangalore,2,26,Female,No,4,0
+Bachelors,2013,Pune,3,26,Male,No,4,0
+Masters,2014,New Delhi,1,25,Female,No,3,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,25,Male,No,3,0
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,28,Female,No,5,0
+Masters,2012,New Delhi,3,25,Male,No,3,1
+Bachelors,2013,Bangalore,3,28,Male,No,2,1
+Bachelors,2014,Bangalore,1,25,Male,No,3,0
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2013,Pune,3,28,Male,No,0,0
+Bachelors,2015,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2014,Pune,1,28,Female,No,3,1
+Masters,2017,Pune,2,25,Female,No,3,1
+Masters,2013,New Delhi,3,28,Female,No,2,0
+Masters,2017,Bangalore,2,27,Female,No,5,1
+Bachelors,2015,Bangalore,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,New Delhi,3,26,Female,No,4,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Masters,2017,New Delhi,2,28,Female,No,3,0
+Bachelors,2017,New Delhi,2,26,Male,No,4,0
+Bachelors,2013,Pune,2,27,Female,No,5,1
+Masters,2015,Bangalore,3,27,Female,No,5,0
+Masters,2017,Pune,3,27,Female,No,5,1
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2014,Bangalore,3,25,Female,No,3,0
+Bachelors,2016,Bangalore,3,26,Female,No,4,0
+Bachelors,2016,Bangalore,3,26,Female,No,4,0
+Bachelors,2014,New Delhi,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,28,Male,No,3,0
+Bachelors,2012,Pune,3,25,Male,No,3,0
+Masters,2014,Bangalore,3,28,Female,No,3,1
+Bachelors,2016,New Delhi,3,26,Male,No,4,0
+Bachelors,2012,New Delhi,3,24,Female,No,2,0
+Bachelors,2015,Pune,2,28,Female,No,4,1
+Bachelors,2017,New Delhi,2,24,Male,No,2,0
+Bachelors,2015,New Delhi,3,25,Male,No,3,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,28,Female,No,3,1
+Bachelors,2017,Bangalore,3,24,Female,No,2,0
+Masters,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2016,Bangalore,3,25,Male,Yes,3,1
+Bachelors,2016,Bangalore,3,26,Male,Yes,4,0
+Masters,2017,Bangalore,2,24,Female,No,2,0
+Bachelors,2017,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2014,Pune,2,27,Female,No,5,1
+Masters,2017,New Delhi,1,24,Female,No,2,0
+Bachelors,2014,Bangalore,3,28,Male,No,1,0
+Bachelors,2013,Pune,3,26,Male,No,4,0
+Bachelors,2014,Pune,3,28,Male,No,0,0
+Masters,2013,New Delhi,3,28,Male,No,1,0
+Masters,2017,Pune,2,27,Female,No,5,0
+Bachelors,2017,Pune,3,28,Male,No,1,0
+Bachelors,2016,New Delhi,3,26,Female,No,4,0
+PHD,2018,Bangalore,3,27,Male,No,5,1
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2013,Pune,3,25,Male,No,3,0
+Masters,2017,Pune,3,25,Male,No,3,0
+Bachelors,2017,Pune,2,24,Female,No,2,1
+Bachelors,2017,New Delhi,3,24,Female,No,2,0
+PHD,2014,Pune,3,24,Male,No,2,0
+PHD,2017,Bangalore,3,24,Female,No,2,0
+Masters,2017,New Delhi,2,26,Male,No,4,1
+Bachelors,2013,Pune,2,24,Male,Yes,2,1
+PHD,2016,New Delhi,3,27,Female,No,5,0
+Masters,2017,New Delhi,2,25,Female,Yes,3,1
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2017,New Delhi,3,25,Female,No,3,0
+Bachelors,2012,Bangalore,3,27,Female,No,5,0
+Bachelors,2016,Bangalore,3,26,Male,Yes,4,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Pune,2,27,Female,Yes,5,1
+Bachelors,2016,Pune,3,28,Female,No,2,1
+Masters,2017,New Delhi,2,27,Female,No,5,1
+Bachelors,2018,Bangalore,3,25,Female,No,3,1
+Bachelors,2014,Pune,3,27,Male,Yes,5,0
+Bachelors,2014,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2015,New Delhi,3,25,Female,No,3,0
+Masters,2017,Bangalore,3,26,Female,No,4,0
+Masters,2018,New Delhi,3,25,Male,No,3,1
+Bachelors,2018,Bangalore,3,25,Male,No,3,1
+Bachelors,2014,Bangalore,3,28,Male,No,1,0
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Bachelors,2013,Bangalore,3,28,Female,No,3,0
+Bachelors,2015,Pune,3,24,Male,No,2,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,New Delhi,3,25,Female,No,3,0
+Masters,2017,New Delhi,1,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,25,Female,No,3,0
+Bachelors,2013,Pune,2,26,Male,Yes,4,0
+Bachelors,2018,Pune,1,26,Male,Yes,4,0
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Bachelors,2016,Bangalore,3,24,Male,No,2,0
+Bachelors,2014,Bangalore,3,24,Female,No,2,0
+PHD,2017,New Delhi,3,28,Male,No,3,0
+Bachelors,2017,New Delhi,2,24,Female,No,2,1
+Bachelors,2015,Bangalore,3,25,Female,No,3,0
+Bachelors,2015,Pune,3,26,Male,No,4,0
+Masters,2014,Bangalore,3,27,Male,No,5,1
+Bachelors,2012,Pune,3,24,Female,No,2,1
+Bachelors,2015,Pune,2,26,Female,No,4,1
+Bachelors,2013,Bangalore,3,24,Female,No,2,0
+Bachelors,2017,Bangalore,3,26,Female,No,4,0
+Masters,2017,New Delhi,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,24,Male,No,2,0
+Bachelors,2015,Pune,3,28,Male,No,2,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,24,Male,Yes,2,0
+Masters,2015,Pune,2,28,Female,No,0,0
+Bachelors,2017,Pune,3,26,Male,Yes,4,0
+Bachelors,2018,Bangalore,3,27,Female,No,5,1
+Masters,2017,Pune,3,27,Male,No,5,1
+Bachelors,2013,Bangalore,1,27,Female,No,5,0
+Bachelors,2016,Bangalore,3,27,Female,No,5,0
+Bachelors,2013,Pune,3,28,Male,No,1,0
+Bachelors,2017,Pune,3,28,Male,No,2,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Bangalore,3,25,Female,No,3,0
+Bachelors,2015,Pune,3,24,Female,No,2,1
+Bachelors,2014,New Delhi,3,28,Male,No,1,0
+Bachelors,2017,New Delhi,2,28,Female,No,2,0
+Masters,2015,New Delhi,3,26,Male,No,4,1
+PHD,2014,New Delhi,3,25,Male,No,3,0
+Bachelors,2013,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+Bachelors,2013,New Delhi,2,24,Female,No,2,1
+Bachelors,2014,Pune,3,25,Male,No,3,0
+Bachelors,2017,New Delhi,3,25,Female,No,3,0
+Masters,2017,New Delhi,2,24,Male,Yes,2,1
+Bachelors,2015,New Delhi,3,28,Female,No,2,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,1
+Bachelors,2015,Pune,3,26,Male,No,4,0
+Bachelors,2017,Pune,2,27,Female,No,5,1
+Bachelors,2016,Bangalore,3,24,Male,No,2,0
+Bachelors,2014,Bangalore,2,26,Female,No,4,1
+Masters,2017,New Delhi,2,25,Female,No,3,0
+Bachelors,2012,New Delhi,3,25,Female,No,3,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,New Delhi,3,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,25,Female,No,3,1
+Bachelors,2016,Pune,3,27,Female,No,5,0
+Bachelors,2017,Bangalore,3,24,Male,No,2,0
+Bachelors,2014,Pune,2,28,Female,No,1,1
+Bachelors,2017,Bangalore,2,28,Female,No,2,1
+Bachelors,2017,New Delhi,2,26,Female,No,4,1
+Bachelors,2013,Pune,2,27,Female,No,5,1
+Bachelors,2012,Bangalore,3,24,Female,No,2,0
+Masters,2017,Pune,2,27,Female,No,5,0
+Bachelors,2015,New Delhi,3,24,Male,No,2,0
+Bachelors,2013,New Delhi,3,28,Female,Yes,2,0
+Bachelors,2016,New Delhi,3,28,Male,No,0,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2018,Bangalore,3,27,Male,Yes,5,1
+Bachelors,2015,Bangalore,3,25,Male,No,3,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2018,Pune,3,24,Male,Yes,2,1
+Bachelors,2017,Bangalore,3,26,Male,Yes,4,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2012,Bangalore,3,26,Male,Yes,4,0
+Masters,2017,Bangalore,2,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,25,Female,No,3,0
+Masters,2013,Pune,3,25,Male,No,3,0
+Masters,2016,New Delhi,3,27,Male,No,5,1
+Bachelors,2014,Bangalore,3,28,Female,No,1,0
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+PHD,2013,Bangalore,2,25,Male,No,3,1
+Bachelors,2017,New Delhi,3,25,Male,No,3,0
+Bachelors,2015,Bangalore,3,24,Male,No,2,0
+Masters,2015,Bangalore,3,26,Female,No,4,1
+Bachelors,2013,Bangalore,3,25,Female,No,3,0
+Bachelors,2015,New Delhi,2,24,Female,No,2,1
+Masters,2015,New Delhi,2,27,Female,No,5,1
+Bachelors,2017,New Delhi,2,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,25,Male,No,3,0
+PHD,2017,New Delhi,3,24,Male,No,2,0
+Masters,2015,Bangalore,3,27,Male,No,5,1
+Bachelors,2015,New Delhi,2,28,Female,No,1,1
+Bachelors,2014,Bangalore,3,28,Male,No,2,1
+Bachelors,2014,Bangalore,3,25,Male,Yes,3,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Masters,2017,New Delhi,1,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,27,Male,No,5,1
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2013,Bangalore,3,28,Male,No,0,0
+Bachelors,2013,Bangalore,3,24,Male,No,2,0
+Bachelors,2012,Bangalore,3,28,Female,No,1,1
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Masters,2017,New Delhi,2,28,Male,No,3,0
+Bachelors,2013,Pune,3,24,Female,No,2,1
+Masters,2017,New Delhi,2,24,Male,No,2,1
+Bachelors,2014,Bangalore,3,28,Female,No,1,1
+Bachelors,2018,Bangalore,3,25,Male,No,3,1
+Masters,2012,New Delhi,3,27,Female,No,5,0
+Masters,2014,New Delhi,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,28,Male,No,5,0
+Bachelors,2017,Pune,3,28,Female,No,1,0
+Bachelors,2016,Bangalore,3,24,Male,No,2,0
+Bachelors,2016,New Delhi,3,24,Male,Yes,2,0
+Masters,2018,New Delhi,3,28,Male,Yes,2,1
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Masters,2013,New Delhi,3,25,Male,No,3,1
+Masters,2017,Bangalore,3,28,Female,No,0,1
+PHD,2018,Bangalore,3,26,Male,No,4,1
+Bachelors,2017,Bangalore,1,24,Male,No,2,0
+Bachelors,2017,New Delhi,2,25,Male,No,3,0
+Masters,2015,Pune,2,28,Female,No,0,0
+Bachelors,2014,Pune,2,27,Female,No,5,1
+Bachelors,2014,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,Pune,3,27,Male,Yes,5,0
+Bachelors,2017,Bangalore,3,28,Male,No,2,0
+Bachelors,2014,Bangalore,3,28,Male,No,1,0
+Bachelors,2014,New Delhi,3,28,Female,No,3,0
+Bachelors,2015,New Delhi,2,29,Female,No,1,1
+Bachelors,2012,Bangalore,3,29,Male,No,1,0
+Bachelors,2017,Pune,2,26,Male,No,4,0
+Bachelors,2015,Pune,3,28,Female,No,2,1
+Bachelors,2016,Pune,3,26,Male,No,4,0
+Masters,2017,New Delhi,3,26,Female,No,4,0
+Bachelors,2013,Pune,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,28,Male,No,1,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Pune,3,28,Female,Yes,2,1
+Bachelors,2017,New Delhi,3,28,Female,No,1,0
+Bachelors,2016,New Delhi,3,27,Female,Yes,5,0
+Bachelors,2018,Pune,3,27,Male,No,5,1
+Bachelors,2014,Bangalore,3,29,Male,Yes,2,0
+Bachelors,2015,Pune,2,28,Female,No,2,1
+Bachelors,2017,Pune,3,26,Female,No,4,1
+Masters,2017,New Delhi,3,28,Male,No,2,0
+Bachelors,2017,Pune,3,26,Male,No,4,0
+Bachelors,2017,Pune,3,26,Female,No,4,1
+Bachelors,2018,Bangalore,3,26,Female,Yes,4,1
+Bachelors,2014,Pune,3,30,Male,No,2,0
+Masters,2017,New Delhi,3,29,Male,No,2,1
+Masters,2017,Pune,2,26,Female,No,4,0
+Masters,2015,New Delhi,3,28,Female,No,2,0
+Bachelors,2016,Bangalore,3,30,Female,No,2,1
+Bachelors,2012,Bangalore,3,26,Female,No,4,1
+Bachelors,2014,Bangalore,3,29,Male,No,1,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2018,Bangalore,3,26,Male,Yes,4,1
+PHD,2018,New Delhi,2,29,Female,No,1,1
+Masters,2013,New Delhi,3,26,Male,No,4,1
+Masters,2015,Pune,3,30,Female,No,2,0
+Bachelors,2018,Pune,3,26,Male,No,4,1
+Masters,2013,New Delhi,2,29,Female,No,2,1
+Bachelors,2016,Bangalore,3,29,Male,No,2,0
+Bachelors,2013,Bangalore,3,28,Male,Yes,1,0
+Bachelors,2017,Pune,2,26,Female,No,4,1
+Masters,2017,Pune,2,30,Female,No,2,0
+Bachelors,2015,Pune,2,30,Female,Yes,1,1
+Masters,2017,New Delhi,2,29,Female,No,2,1
+Bachelors,2015,Bangalore,3,30,Male,No,2,0
+Bachelors,2015,Bangalore,3,27,Female,No,5,1
+Bachelors,2017,Pune,3,27,Female,No,5,1
+Bachelors,2014,Bangalore,3,30,Male,No,2,0
+Bachelors,2014,Bangalore,3,26,Female,No,4,0
+Masters,2013,New Delhi,3,26,Male,No,4,0
+Bachelors,2013,New Delhi,3,29,Female,No,1,1
+Bachelors,2018,New Delhi,3,27,Female,No,5,1
+Bachelors,2014,Bangalore,3,29,Male,No,1,0
+Bachelors,2017,Pune,3,26,Female,No,4,1
+Masters,2015,Bangalore,2,27,Female,Yes,5,1
+Masters,2017,New Delhi,2,29,Female,No,2,0
+Masters,2017,Bangalore,3,26,Female,No,4,0
+Bachelors,2015,Bangalore,3,28,Male,No,2,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,1
+Bachelors,2014,New Delhi,3,28,Female,No,2,0
+Bachelors,2012,Bangalore,3,29,Male,No,1,1
+Bachelors,2016,New Delhi,3,28,Female,No,2,0
+Masters,2012,New Delhi,3,26,Female,No,4,1
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Pune,3,28,Male,No,2,0
+Bachelors,2012,Bangalore,2,27,Female,No,5,1
+Bachelors,2018,Bangalore,3,28,Male,No,1,1
+Bachelors,2015,Pune,2,26,Female,No,4,1
+PHD,2016,Bangalore,3,29,Female,No,1,0
+Masters,2018,Bangalore,3,30,Female,No,2,1
+Bachelors,2014,Bangalore,3,28,Female,No,2,0
+Masters,2017,New Delhi,2,30,Male,No,2,0
+Bachelors,2012,Bangalore,3,30,Male,No,1,0
+Masters,2017,New Delhi,2,30,Male,No,2,0
+Bachelors,2017,New Delhi,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,28,Female,No,2,0
+Masters,2013,New Delhi,3,26,Female,No,4,0
+PHD,2015,New Delhi,1,29,Male,No,2,0
+Masters,2017,New Delhi,2,27,Female,No,5,1
+Bachelors,2016,Pune,3,30,Male,No,1,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,1
+Bachelors,2014,Pune,2,29,Female,No,2,1
+Bachelors,2016,Bangalore,3,30,Male,No,2,0
+Bachelors,2013,Bangalore,3,27,Female,No,5,0
+PHD,2015,New Delhi,2,29,Female,Yes,1,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,30,Male,No,2,1
+Masters,2017,Pune,2,29,Female,No,2,0
+Masters,2016,Bangalore,3,29,Female,No,2,0
+Bachelors,2017,Bangalore,3,27,Female,No,5,1
+Bachelors,2017,Bangalore,3,28,Male,No,2,0
+Bachelors,2017,Bangalore,3,27,Female,No,5,0
+Bachelors,2012,New Delhi,3,29,Male,No,1,0
+Bachelors,2017,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,28,Female,No,1,1
+Bachelors,2013,Pune,2,29,Female,No,1,1
+Bachelors,2015,Bangalore,1,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,30,Male,No,1,0
+Bachelors,2013,New Delhi,3,30,Female,No,1,0
+Masters,2017,Pune,2,27,Male,No,5,1
+Masters,2017,Pune,2,29,Male,No,2,0
+Bachelors,2016,New Delhi,3,29,Female,No,1,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,1
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,New Delhi,3,28,Female,Yes,1,0
+Bachelors,2013,Pune,2,28,Female,No,1,1
+Bachelors,2016,Bangalore,3,27,Female,Yes,5,0
+Bachelors,2017,Bangalore,3,26,Male,No,4,1
+Bachelors,2014,New Delhi,3,30,Male,No,2,1
+Bachelors,2015,Pune,2,30,Male,No,2,1
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Pune,3,26,Female,No,4,1
+Bachelors,2014,New Delhi,3,30,Male,No,1,0
+Masters,2017,Pune,2,26,Male,No,4,1
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+PHD,2017,Pune,3,28,Male,No,1,0
+Bachelors,2015,New Delhi,3,30,Female,No,2,0
+Bachelors,2016,Bangalore,3,29,Male,No,2,0
+Bachelors,2012,Bangalore,3,28,Male,No,2,0
+Bachelors,2014,Bangalore,1,30,Male,Yes,2,1
+Bachelors,2013,Bangalore,3,27,Male,No,5,1
+Masters,2017,Pune,2,30,Male,No,2,0
+Bachelors,2012,Bangalore,3,30,Male,No,2,0
+Masters,2017,New Delhi,2,26,Male,No,4,0
+Bachelors,2014,Pune,2,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,29,Female,No,1,1
+Bachelors,2015,Pune,3,29,Female,No,2,1
+Bachelors,2013,Bangalore,3,28,Female,No,1,0
+Masters,2016,Bangalore,3,29,Male,No,1,0
+Masters,2016,New Delhi,3,26,Female,No,4,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2016,Pune,3,26,Male,No,4,0
+Masters,2015,New Delhi,1,27,Male,Yes,5,1
+Bachelors,2012,Bangalore,3,28,Male,No,1,1
+Masters,2017,Pune,2,27,Male,No,5,0
+Masters,2015,Pune,2,29,Female,No,2,0
+Bachelors,2012,Bangalore,3,28,Male,No,2,0
+Bachelors,2012,Pune,2,28,Male,No,2,1
+Bachelors,2015,Pune,2,27,Female,No,5,1
+Masters,2017,Pune,2,29,Female,No,1,0
+Bachelors,2014,Pune,2,28,Female,No,1,1
+Masters,2012,New Delhi,1,29,Female,No,1,0
+Bachelors,2015,Bangalore,3,30,Female,No,2,0
+Masters,2017,Bangalore,2,26,Male,Yes,4,1
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,1,30,Male,No,1,0
+Masters,2017,New Delhi,3,30,Male,Yes,2,0
+Bachelors,2015,Pune,2,27,Female,Yes,5,1
+Bachelors,2016,Bangalore,3,28,Male,No,2,1
+Bachelors,2017,Pune,2,26,Female,No,4,1
+Masters,2015,New Delhi,2,26,Female,No,4,0
+Bachelors,2015,Pune,2,26,Female,No,4,1
+PHD,2013,New Delhi,3,27,Female,Yes,5,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,1
+Bachelors,2013,New Delhi,3,29,Female,No,1,0
+Masters,2017,Pune,3,29,Male,No,2,0
+Bachelors,2016,Pune,3,28,Male,No,2,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,29,Male,No,1,0
+Bachelors,2016,Pune,3,29,Male,No,2,0
+Masters,2016,New Delhi,3,26,Male,No,4,0
+Bachelors,2015,Bangalore,3,30,Female,No,1,1
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,27,Female,No,5,0
+Bachelors,2016,Bangalore,3,29,Male,No,2,0
+Bachelors,2016,Bangalore,3,29,Male,No,1,0
+Masters,2014,New Delhi,3,29,Male,No,1,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,1,27,Female,No,5,0
+Bachelors,2015,New Delhi,3,26,Female,No,4,0
+Bachelors,2015,Pune,1,28,Female,No,2,1
+Bachelors,2015,Pune,2,28,Female,No,1,1
+Bachelors,2018,Pune,2,28,Female,No,2,1
+Bachelors,2015,Pune,3,28,Female,Yes,1,1
+Bachelors,2015,Pune,3,29,Male,No,2,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2014,Pune,2,27,Female,No,5,1
+Bachelors,2014,Bangalore,3,27,Male,No,5,1
+Bachelors,2016,Bangalore,3,30,Male,Yes,1,0
+PHD,2015,New Delhi,3,28,Male,No,2,1
+Bachelors,2014,Pune,3,29,Male,No,2,0
+Bachelors,2015,Bangalore,3,29,Male,No,1,0
+Bachelors,2013,Pune,3,30,Male,No,2,0
+Bachelors,2013,Bangalore,3,28,Male,Yes,1,0
+Bachelors,2015,Pune,2,29,Female,No,2,1
+Bachelors,2017,Bangalore,3,30,Male,No,1,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Masters,2017,New Delhi,2,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,29,Male,No,1,1
+Masters,2012,New Delhi,1,30,Female,No,2,1
+Masters,2016,New Delhi,3,28,Female,No,2,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2012,Bangalore,3,28,Female,No,1,0
+Bachelors,2018,Pune,3,27,Male,No,5,1
+Bachelors,2014,Bangalore,3,29,Female,No,2,0
+PHD,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,29,Male,No,2,0
+Bachelors,2014,Bangalore,3,28,Male,No,2,0
+Bachelors,2014,Bangalore,3,26,Female,No,4,0
+Bachelors,2012,Bangalore,3,28,Male,No,2,0
+Masters,2018,Bangalore,3,28,Female,No,2,1
+Bachelors,2017,Bangalore,3,28,Female,No,1,0
+Bachelors,2015,Bangalore,3,28,Male,No,1,0
+Bachelors,2014,New Delhi,3,29,Female,No,1,0
+Masters,2017,New Delhi,3,28,Male,No,2,0
+Masters,2017,New Delhi,3,29,Male,No,1,0
+Bachelors,2014,Pune,2,29,Male,No,2,1
+Masters,2013,New Delhi,3,26,Male,No,4,1
+Bachelors,2014,Bangalore,3,30,Male,No,1,0
+Bachelors,2013,New Delhi,3,26,Female,No,4,0
+Bachelors,2014,Bangalore,1,29,Male,No,2,0
+Masters,2016,Pune,3,29,Male,No,2,0
+PHD,2016,Pune,1,28,Male,No,2,0
+PHD,2015,Bangalore,3,29,Male,No,2,0
+Bachelors,2014,Bangalore,3,28,Male,No,1,0
+Bachelors,2015,Pune,2,26,Female,Yes,4,1
+Bachelors,2015,Bangalore,3,28,Female,No,1,0
+Bachelors,2015,Pune,3,28,Male,Yes,2,0
+Bachelors,2016,New Delhi,3,26,Female,No,4,0
+Bachelors,2014,Bangalore,3,29,Male,No,1,1
+Bachelors,2013,Bangalore,2,30,Female,No,1,1
+Bachelors,2015,Bangalore,3,29,Male,Yes,1,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+PHD,2017,New Delhi,3,29,Male,No,1,0
+Masters,2017,New Delhi,3,29,Male,No,2,0
+Bachelors,2015,Pune,2,30,Female,Yes,1,1
+Bachelors,2012,New Delhi,3,26,Female,No,4,0
+Bachelors,2013,Pune,3,30,Male,No,1,0
+Bachelors,2012,Bangalore,3,30,Female,No,1,1
+Bachelors,2015,New Delhi,3,26,Female,No,4,0
+Bachelors,2015,Pune,3,28,Female,Yes,2,1
+Bachelors,2014,Bangalore,3,29,Male,No,1,0
+Bachelors,2013,Pune,2,28,Female,No,1,1
+Bachelors,2016,Bangalore,3,28,Female,No,1,0
+Masters,2018,New Delhi,3,30,Female,No,2,1
+Bachelors,2018,Pune,3,29,Male,Yes,1,1
+Bachelors,2016,Bangalore,3,30,Female,Yes,2,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Masters,2017,Pune,2,27,Male,Yes,5,1
+Masters,2017,Pune,2,26,Female,No,4,1
+Masters,2017,New Delhi,3,26,Male,No,4,1
+Bachelors,2017,Pune,2,30,Female,No,2,1
+Bachelors,2012,Bangalore,3,28,Male,No,1,0
+Bachelors,2014,Bangalore,3,28,Male,No,2,0
+PHD,2015,Bangalore,3,29,Female,No,1,0
+Masters,2015,New Delhi,3,26,Male,No,4,1
+Bachelors,2017,Pune,3,30,Male,No,2,0
+Bachelors,2014,New Delhi,3,28,Female,No,1,0
+Bachelors,2013,Bangalore,1,30,Male,No,1,0
+Bachelors,2016,Bangalore,3,27,Female,No,5,1
+Bachelors,2014,Pune,1,28,Male,No,1,0
+Bachelors,2015,Bangalore,3,30,Male,No,1,0
+Bachelors,2013,New Delhi,3,27,Male,No,5,0
+Bachelors,2017,Pune,2,27,Male,No,5,0
+Masters,2017,New Delhi,2,28,Male,No,1,1
+Masters,2017,New Delhi,2,27,Male,No,5,1
+Masters,2014,New Delhi,3,27,Male,No,5,0
+PHD,2014,New Delhi,2,27,Female,No,5,0
+Bachelors,2015,Bangalore,3,29,Male,No,2,0
+Bachelors,2012,Pune,3,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,30,Male,No,2,0
+Bachelors,2014,Bangalore,1,27,Female,No,5,0
+Bachelors,2014,Pune,1,26,Male,No,4,0
+Bachelors,2012,Bangalore,3,29,Male,Yes,2,0
+Bachelors,2012,New Delhi,3,30,Male,No,1,0
+Bachelors,2015,Bangalore,3,27,Female,No,5,0
+Masters,2017,New Delhi,2,30,Female,No,2,0
+Masters,2018,New Delhi,3,29,Male,No,2,1
+Bachelors,2015,Bangalore,3,28,Male,No,2,0
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Masters,2016,New Delhi,3,27,Male,Yes,5,1
+Bachelors,2014,Pune,1,26,Female,No,4,1
+Bachelors,2017,Pune,3,27,Male,Yes,5,0
+PHD,2013,New Delhi,3,30,Male,No,1,0
+Masters,2018,Bangalore,3,26,Male,No,4,1
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,New Delhi,3,26,Female,No,4,0
+Bachelors,2016,Pune,3,29,Male,No,2,0
+Bachelors,2018,Bangalore,3,29,Female,Yes,2,1
+Bachelors,2016,Bangalore,3,28,Male,No,1,0
+Masters,2012,Pune,3,30,Male,No,1,0
+Bachelors,2014,Bangalore,3,30,Female,No,2,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,1
+Bachelors,2014,Bangalore,3,29,Female,No,1,0
+Bachelors,2013,Pune,3,28,Male,No,2,0
+Bachelors,2014,Pune,3,29,Male,No,2,0
+Bachelors,2012,Bangalore,1,30,Female,No,2,0
+Bachelors,2018,Pune,3,28,Male,No,2,1
+Bachelors,2012,Bangalore,3,30,Female,Yes,2,0
+Masters,2017,New Delhi,2,30,Male,No,1,0
+Bachelors,2014,New Delhi,3,27,Female,No,5,0
+Masters,2014,New Delhi,3,29,Male,No,2,0
+Bachelors,2016,Bangalore,3,29,Male,No,2,0
+Bachelors,2014,Pune,2,28,Female,No,2,1
+Bachelors,2017,New Delhi,3,26,Male,No,4,0
+Bachelors,2018,Pune,3,28,Male,No,1,1
+Bachelors,2016,Pune,3,29,Male,No,1,0
+Bachelors,2015,Pune,3,26,Female,Yes,4,1
+Masters,2017,Bangalore,3,27,Male,No,5,1
+Masters,2017,New Delhi,2,26,Male,No,4,0
+Masters,2013,New Delhi,3,26,Female,No,4,1
+Bachelors,2017,Bangalore,3,29,Male,No,1,0
+Masters,2013,New Delhi,3,27,Female,No,5,0
+Bachelors,2012,Pune,2,30,Female,No,2,1
+Bachelors,2013,New Delhi,3,26,Male,No,4,0
+Bachelors,2015,Pune,2,28,Female,No,1,1
+Bachelors,2013,New Delhi,3,27,Male,No,5,0
+Bachelors,2015,Pune,2,29,Female,Yes,2,1
+Bachelors,2012,Bangalore,1,27,Female,No,5,0
+Bachelors,2012,Bangalore,3,28,Male,No,2,0
+Bachelors,2015,New Delhi,3,26,Male,No,4,0
+Bachelors,2017,New Delhi,3,28,Female,No,1,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Masters,2014,Bangalore,3,28,Male,No,1,1
+Bachelors,2015,Bangalore,3,29,Male,No,1,0
+Bachelors,2017,New Delhi,3,27,Female,No,5,0
+Bachelors,2012,Bangalore,3,27,Male,Yes,5,0
+Masters,2017,New Delhi,2,30,Male,No,2,0
+Bachelors,2015,Bangalore,3,28,Female,No,2,0
+Masters,2017,Bangalore,1,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,27,Male,Yes,5,1
+Masters,2017,Pune,2,30,Male,No,1,0
+Bachelors,2013,Pune,3,29,Male,No,2,0
+Bachelors,2013,Pune,3,29,Male,No,2,0
+Bachelors,2012,Pune,3,27,Male,Yes,5,0
+Bachelors,2015,Pune,3,30,Female,No,1,1
+Bachelors,2015,Pune,2,29,Female,No,2,1
+Masters,2018,Pune,3,26,Male,No,4,1
+Masters,2013,Bangalore,2,29,Female,No,2,1
+Bachelors,2014,Bangalore,1,28,Male,No,2,1
+Bachelors,2015,Bangalore,3,30,Male,No,1,0
+Bachelors,2015,Pune,2,27,Female,No,5,1
+Bachelors,2014,Bangalore,3,28,Female,Yes,1,0
+Masters,2015,New Delhi,3,27,Male,No,5,0
+Masters,2017,New Delhi,2,26,Male,No,4,1
+Bachelors,2018,Bangalore,3,28,Male,No,1,1
+Bachelors,2015,New Delhi,3,28,Female,No,2,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2013,Pune,1,26,Female,No,4,1
+Masters,2017,New Delhi,2,30,Male,Yes,2,0
+Bachelors,2015,Bangalore,3,28,Female,No,1,0
+Bachelors,2013,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,1
+Bachelors,2018,Bangalore,3,28,Male,No,2,1
+Masters,2017,New Delhi,2,28,Male,No,2,0
+Bachelors,2015,Bangalore,3,29,Male,No,2,0
+Bachelors,2012,New Delhi,3,30,Male,No,1,1
+Masters,2016,Pune,3,30,Male,No,1,0
+Bachelors,2014,Pune,3,30,Male,No,1,0
+Bachelors,2018,Bangalore,3,26,Male,No,4,1
+Masters,2017,Bangalore,3,26,Male,No,4,1
+Bachelors,2012,New Delhi,3,27,Female,No,5,0
+Bachelors,2018,Bangalore,3,26,Female,Yes,4,1
+PHD,2014,Bangalore,3,27,Male,No,5,0
+Masters,2017,New Delhi,2,26,Male,Yes,4,1
+Bachelors,2013,Bangalore,3,30,Female,No,1,1
+Bachelors,2012,Bangalore,3,30,Female,No,2,0
+Masters,2018,New Delhi,3,26,Male,Yes,4,1
+Bachelors,2013,Bangalore,1,28,Female,No,1,0
+Bachelors,2017,Bangalore,3,30,Male,No,1,0
+Masters,2017,Pune,2,30,Female,No,2,1
+PHD,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2016,New Delhi,3,28,Female,No,2,0
+Bachelors,2015,Pune,2,29,Female,No,1,1
+Bachelors,2013,Bangalore,3,27,Female,No,5,0
+Masters,2014,Pune,3,27,Male,No,5,0
+Masters,2017,New Delhi,2,26,Female,Yes,4,1
+Masters,2017,New Delhi,2,30,Female,No,1,0
+Masters,2018,New Delhi,3,27,Female,No,5,1
+Bachelors,2017,Pune,2,29,Male,No,1,0
+Masters,2014,New Delhi,1,29,Male,No,1,0
+Bachelors,2015,Pune,2,30,Female,No,2,1
+Bachelors,2014,Bangalore,3,30,Male,No,2,1
+Masters,2018,New Delhi,1,30,Female,No,2,0
+Bachelors,2017,Bangalore,3,29,Male,No,1,0
+Bachelors,2016,Pune,3,28,Male,No,2,0
+Bachelors,2018,Bangalore,3,26,Female,No,4,1
+Bachelors,2014,Bangalore,1,28,Female,No,2,0
+Masters,2017,New Delhi,2,29,Female,No,2,0
+Masters,2013,New Delhi,3,26,Male,No,4,1
+Bachelors,2017,New Delhi,2,28,Female,No,1,0
+Bachelors,2016,Bangalore,3,30,Female,No,1,0
+PHD,2015,Pune,3,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,29,Male,No,2,0
+Bachelors,2014,Pune,2,28,Female,No,2,1
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Masters,2017,New Delhi,2,30,Female,Yes,2,0
+PHD,2013,New Delhi,3,30,Female,No,2,0
+Bachelors,2015,Bangalore,3,29,Male,No,2,0
+Bachelors,2017,Bangalore,3,28,Male,No,2,0
+Bachelors,2015,Bangalore,3,29,Male,No,2,1
+Bachelors,2015,Pune,1,26,Female,No,4,1
+Bachelors,2013,Bangalore,3,28,Male,No,1,0
+Bachelors,2015,Pune,2,29,Female,No,2,1
+Bachelors,2013,Bangalore,3,26,Male,Yes,4,0
+Masters,2014,Pune,3,30,Male,No,2,0
+Masters,2017,Pune,2,30,Male,Yes,2,0
+Bachelors,2017,Pune,3,27,Male,No,5,0
+Bachelors,2014,New Delhi,3,28,Female,Yes,2,0
+Bachelors,2014,New Delhi,3,27,Female,No,5,0
+Bachelors,2015,Pune,2,29,Female,Yes,1,1
+Bachelors,2013,Pune,3,26,Male,No,4,0
+Bachelors,2014,New Delhi,3,30,Male,No,1,0
+Bachelors,2013,Pune,2,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Masters,2017,New Delhi,2,28,Female,No,2,0
+Masters,2017,New Delhi,2,27,Male,No,5,1
+Bachelors,2017,Pune,2,29,Female,No,1,1
+Masters,2017,New Delhi,2,28,Female,No,1,1
+Bachelors,2017,New Delhi,2,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,29,Female,No,1,1
+Bachelors,2012,Bangalore,3,28,Male,No,1,0
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,28,Female,No,1,0
+Masters,2015,Pune,2,30,Female,No,2,1
+Masters,2017,New Delhi,2,28,Male,No,2,0
+Masters,2015,Pune,2,29,Female,No,1,0
+Masters,2015,Bangalore,3,26,Male,No,4,1
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,29,Female,No,1,0
+Bachelors,2017,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2014,New Delhi,3,29,Female,No,2,0
+Bachelors,2017,New Delhi,3,27,Female,No,5,0
+Masters,2017,Pune,2,28,Female,No,2,0
+Masters,2013,New Delhi,3,27,Female,No,5,1
+Masters,2017,New Delhi,3,27,Male,Yes,5,1
+Bachelors,2013,Bangalore,3,30,Male,No,2,0
+Bachelors,2015,Pune,2,27,Female,Yes,5,1
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Bangalore,2,27,Female,No,5,1
+Bachelors,2015,Bangalore,3,30,Male,No,2,1
+Masters,2017,Bangalore,2,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,30,Male,No,2,1
+Bachelors,2016,Pune,2,30,Female,No,2,1
+Masters,2016,Pune,1,27,Female,No,5,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Pune,3,29,Female,No,2,1
+Bachelors,2013,New Delhi,3,26,Male,No,4,0
+Bachelors,2015,Pune,2,29,Female,No,2,1
+Bachelors,2013,Pune,3,28,Male,No,2,0
+Bachelors,2013,Pune,2,27,Male,No,5,1
+Masters,2014,New Delhi,3,28,Male,No,1,1
+Bachelors,2016,New Delhi,3,27,Female,No,5,1
+Bachelors,2016,New Delhi,3,29,Female,Yes,2,0
+Masters,2018,New Delhi,1,26,Female,No,4,1
+Bachelors,2015,Bangalore,3,27,Female,No,5,0
+Bachelors,2013,Pune,2,27,Female,No,5,1
+Bachelors,2014,New Delhi,3,28,Female,No,2,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,29,Female,No,1,0
+Bachelors,2012,Bangalore,3,29,Female,No,1,0
+Bachelors,2018,Bangalore,3,29,Male,Yes,2,1
+Bachelors,2012,Pune,3,30,Male,No,1,0
+Bachelors,2013,Bangalore,3,30,Male,Yes,1,1
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,New Delhi,3,29,Female,Yes,1,0
+Bachelors,2014,Bangalore,3,30,Female,No,1,0
+Bachelors,2014,Pune,1,28,Male,No,2,0
+Bachelors,2015,Pune,3,27,Female,No,5,0
+Bachelors,2016,Bangalore,3,30,Male,No,1,1
+Bachelors,2016,Pune,3,26,Female,No,4,1
+Bachelors,2018,New Delhi,3,27,Female,Yes,5,1
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Masters,2017,New Delhi,2,27,Male,No,5,1
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Pune,3,26,Female,No,4,1
+Bachelors,2012,Pune,1,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+PHD,2017,Bangalore,3,28,Female,No,1,0
+Bachelors,2015,Pune,3,29,Female,No,1,1
+Masters,2014,New Delhi,3,30,Male,Yes,2,0
+Bachelors,2013,Pune,3,26,Male,No,4,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Pune,3,28,Male,No,1,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,New Delhi,3,26,Male,No,4,0
+Masters,2012,New Delhi,3,30,Male,No,2,0
+PHD,2013,New Delhi,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,30,Male,Yes,1,1
+Bachelors,2012,Bangalore,3,26,Female,No,4,0
+Masters,2017,New Delhi,3,29,Female,No,2,0
+Bachelors,2014,Bangalore,3,29,Male,No,2,0
+Bachelors,2017,New Delhi,3,28,Male,No,1,0
+Bachelors,2015,Pune,2,26,Female,No,4,1
+Bachelors,2018,Bangalore,3,27,Female,No,5,1
+Bachelors,2014,Bangalore,1,28,Male,No,1,0
+Bachelors,2016,Bangalore,3,28,Male,No,1,0
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2012,Pune,3,26,Male,No,4,0
+Bachelors,2015,Bangalore,3,28,Male,No,2,0
+Bachelors,2014,Bangalore,3,28,Male,No,1,0
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+PHD,2012,New Delhi,1,29,Female,No,2,0
+Bachelors,2013,Bangalore,3,30,Female,No,2,1
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Pune,3,28,Male,No,1,0
+Masters,2013,New Delhi,2,26,Male,No,4,1
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2013,Pune,3,27,Female,No,5,0
+PHD,2015,New Delhi,3,28,Male,No,2,0
+Masters,2017,Pune,2,28,Male,No,2,0
+Bachelors,2014,Pune,3,28,Male,No,4,0
+Bachelors,2016,Bangalore,3,29,Female,No,1,1
+Bachelors,2017,Bangalore,3,26,Female,No,4,1
+Bachelors,2015,Bangalore,3,30,Male,No,0,0
+Masters,2012,New Delhi,3,30,Male,No,2,0
+Bachelors,2012,Bangalore,1,30,Female,No,0,0
+Bachelors,2014,New Delhi,3,27,Female,No,5,0
+Bachelors,2017,New Delhi,2,28,Female,No,0,0
+Bachelors,2012,Pune,3,26,Male,No,4,0
+Bachelors,2015,Pune,3,29,Female,No,3,1
+Masters,2017,Pune,2,30,Male,No,0,1
+Bachelors,2013,New Delhi,3,26,Male,No,4,0
+Masters,2014,Pune,3,30,Male,No,0,1
+Bachelors,2013,Pune,3,29,Male,Yes,2,0
+Bachelors,2017,Bangalore,3,28,Male,No,3,0
+Masters,2018,New Delhi,3,27,Male,Yes,5,1
+Masters,2017,New Delhi,2,26,Female,Yes,4,1
+Bachelors,2012,Bangalore,3,30,Female,No,0,1
+Bachelors,2012,Bangalore,3,29,Female,No,4,0
+Bachelors,2014,Bangalore,3,29,Male,No,1,0
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,28,Male,Yes,4,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2016,Pune,3,29,Male,No,5,0
+Bachelors,2014,Bangalore,3,29,Male,No,0,0
+Masters,2013,Bangalore,3,30,Male,No,5,1
+Bachelors,2017,New Delhi,3,30,Female,Yes,3,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+PHD,2015,Pune,2,30,Female,No,4,0
+Masters,2014,Bangalore,3,30,Male,No,4,1
+Masters,2017,New Delhi,2,27,Male,No,5,1
+Bachelors,2013,Pune,3,30,Male,No,0,0
+Masters,2017,Pune,2,30,Male,No,0,0
+Masters,2017,New Delhi,2,29,Female,No,2,0
+Masters,2017,New Delhi,2,29,Male,No,2,0
+Bachelors,2014,Bangalore,1,27,Male,No,5,1
+Bachelors,2012,Bangalore,3,27,Female,No,5,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Masters,2018,New Delhi,3,30,Female,No,4,1
+Bachelors,2015,Bangalore,3,29,Female,No,1,0
+Bachelors,2014,Pune,3,26,Female,No,4,1
+Masters,2016,Pune,3,28,Male,No,2,0
+Bachelors,2015,New Delhi,3,28,Female,No,4,0
+Bachelors,2015,Bangalore,3,30,Male,No,0,0
+Bachelors,2014,Bangalore,3,28,Female,No,3,0
+Bachelors,2017,Bangalore,3,28,Male,No,4,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Bangalore,3,28,Female,No,0,0
+Bachelors,2015,Pune,2,28,Female,No,2,1
+Masters,2013,Pune,3,27,Female,Yes,5,1
+Bachelors,2016,Bangalore,3,27,Male,No,5,1
+Bachelors,2012,Pune,3,29,Male,No,1,0
+Bachelors,2015,Pune,2,28,Female,No,0,1
+Bachelors,2018,Pune,3,30,Male,Yes,3,1
+Bachelors,2016,Bangalore,3,29,Male,No,5,0
+Masters,2013,New Delhi,2,27,Female,No,5,1
+Masters,2017,New Delhi,2,30,Male,No,2,0
+Bachelors,2012,New Delhi,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,30,Male,No,2,1
+Bachelors,2017,New Delhi,2,29,Male,No,3,1
+Bachelors,2017,Pune,2,28,Male,No,3,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,29,Male,Yes,4,0
+Bachelors,2013,Bangalore,3,30,Male,No,5,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Pune,2,26,Female,No,4,1
+Bachelors,2012,Bangalore,3,29,Male,Yes,2,1
+Masters,2015,Bangalore,3,28,Male,No,0,1
+Bachelors,2014,New Delhi,3,29,Female,No,2,0
+Masters,2015,Pune,3,29,Female,No,4,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2013,Pune,3,27,Female,No,5,1
+Bachelors,2017,Bangalore,3,30,Male,No,1,1
+Masters,2014,Pune,3,30,Male,No,2,0
+Bachelors,2015,New Delhi,3,28,Female,No,4,0
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Bachelors,2014,Bangalore,3,28,Male,No,5,0
+Bachelors,2017,Bangalore,1,28,Female,No,0,1
+Bachelors,2016,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2013,Bangalore,3,28,Male,No,5,0
+Masters,2013,New Delhi,3,30,Male,No,2,1
+Masters,2013,New Delhi,1,29,Female,No,2,1
+Bachelors,2017,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Pune,3,28,Male,No,3,0
+Bachelors,2013,Bangalore,3,29,Male,No,2,0
+Masters,2017,New Delhi,2,28,Female,No,2,0
+Masters,2017,New Delhi,2,30,Female,No,2,0
+PHD,2013,New Delhi,3,27,Female,No,5,0
+Bachelors,2016,Pune,3,26,Male,No,4,0
+Bachelors,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2016,Bangalore,3,28,Female,No,1,1
+Bachelors,2017,Pune,2,27,Female,No,5,1
+Bachelors,2012,Bangalore,3,27,Female,No,5,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,1
+Bachelors,2016,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2015,Bangalore,3,27,Female,No,5,0
+Bachelors,2015,Pune,3,29,Male,No,1,0
+Bachelors,2018,Bangalore,3,26,Male,No,4,1
+Bachelors,2012,Bangalore,3,26,Female,No,4,0
+Bachelors,2017,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2015,Pune,3,30,Female,No,0,1
+Bachelors,2017,Bangalore,3,30,Male,No,3,0
+PHD,2012,New Delhi,3,29,Male,No,5,0
+Bachelors,2016,Pune,3,29,Male,No,5,0
+Bachelors,2014,Bangalore,3,26,Female,Yes,4,0
+PHD,2014,New Delhi,3,28,Female,No,0,0
+Bachelors,2018,Bangalore,3,28,Male,No,1,1
+Bachelors,2013,New Delhi,3,27,Female,Yes,5,0
+Bachelors,2013,Bangalore,3,28,Male,No,2,0
+Bachelors,2018,Bangalore,3,29,Male,No,0,1
+Bachelors,2016,Bangalore,3,29,Male,No,3,0
+Bachelors,2018,Pune,3,30,Female,No,2,1
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Pune,3,29,Male,No,3,0
+Bachelors,2013,Pune,3,30,Male,No,4,0
+Masters,2015,New Delhi,3,29,Male,No,2,0
+Bachelors,2018,Pune,3,27,Male,No,5,1
+Bachelors,2016,Bangalore,3,28,Male,No,2,0
+Bachelors,2015,Bangalore,3,29,Male,No,1,0
+Bachelors,2016,Bangalore,3,30,Male,No,0,0
+Bachelors,2016,Bangalore,3,28,Female,No,1,0
+Bachelors,2017,New Delhi,3,26,Female,No,4,0
+Bachelors,2014,Pune,2,29,Female,No,1,1
+PHD,2013,New Delhi,3,30,Female,No,2,0
+Bachelors,2016,Bangalore,3,28,Male,Yes,3,0
+Bachelors,2015,Bangalore,3,28,Male,No,1,0
+Bachelors,2016,Pune,3,28,Male,No,5,0
+Bachelors,2017,Pune,2,28,Female,No,1,1
+Bachelors,2015,Bangalore,3,30,Male,No,4,0
+Masters,2012,New Delhi,3,27,Male,No,5,0
+Masters,2017,New Delhi,3,29,Female,Yes,2,0
+Bachelors,2018,New Delhi,3,29,Female,No,2,1
+Bachelors,2018,Bangalore,3,29,Male,No,0,1
+Bachelors,2012,Bangalore,3,28,Female,No,0,0
+Bachelors,2015,Pune,2,28,Female,No,0,1
+Masters,2017,New Delhi,2,27,Female,No,5,1
+Bachelors,2018,Pune,3,28,Female,No,5,1
+Bachelors,2016,Pune,3,28,Male,No,1,0
+Bachelors,2014,Bangalore,1,26,Male,No,4,1
+Bachelors,2014,New Delhi,2,29,Female,No,3,1
+Masters,2014,Pune,3,26,Male,No,4,1
+Bachelors,2017,Pune,3,27,Male,No,5,0
+Bachelors,2013,Pune,3,30,Male,No,4,1
+Bachelors,2015,Bangalore,3,30,Male,No,3,0
+Bachelors,2012,Bangalore,3,29,Male,No,2,1
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Masters,2017,New Delhi,2,30,Female,No,2,1
+Bachelors,2012,Pune,3,29,Male,No,0,0
+Bachelors,2015,Pune,1,30,Female,No,0,1
+Bachelors,2017,Bangalore,3,28,Male,No,3,0
+Bachelors,2013,Bangalore,3,28,Male,No,5,0
+Bachelors,2017,Pune,2,30,Female,No,4,1
+Bachelors,2017,Pune,2,28,Male,No,5,0
+Bachelors,2014,New Delhi,3,27,Female,No,5,1
+Bachelors,2012,Bangalore,3,28,Female,No,2,0
+Bachelors,2013,Bangalore,3,29,Female,No,5,0
+Bachelors,2012,Bangalore,3,27,Female,No,5,1
+Bachelors,2017,Pune,2,28,Female,No,3,1
+Bachelors,2015,Bangalore,1,29,Male,No,4,0
+Bachelors,2013,Bangalore,2,30,Male,No,0,1
+PHD,2018,Bangalore,3,28,Male,No,2,1
+Bachelors,2015,Pune,3,28,Female,No,3,1
+Bachelors,2015,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,30,Female,No,3,1
+Bachelors,2012,Bangalore,3,29,Male,No,5,0
+Bachelors,2012,Bangalore,3,27,Female,No,5,0
+Bachelors,2015,Bangalore,3,26,Female,No,4,0
+Bachelors,2016,Pune,3,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,27,Female,No,5,0
+Bachelors,2013,Pune,3,28,Male,No,0,0
+Bachelors,2014,Pune,3,29,Male,No,1,0
+Bachelors,2017,New Delhi,2,27,Male,No,5,0
+Bachelors,2013,New Delhi,3,27,Female,No,5,0
+Bachelors,2017,Pune,3,30,Male,No,5,0
+Bachelors,2013,Pune,3,27,Male,No,5,0
+Bachelors,2012,New Delhi,3,30,Female,Yes,3,0
+Bachelors,2013,Pune,2,30,Male,No,1,1
+PHD,2015,New Delhi,3,27,Female,No,5,0
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2015,Pune,2,27,Female,Yes,5,1
+Masters,2017,New Delhi,2,29,Male,No,1,0
+Bachelors,2013,New Delhi,3,28,Female,No,3,0
+Masters,2012,Pune,3,29,Male,No,4,1
+Bachelors,2014,New Delhi,3,28,Female,No,3,0
+Bachelors,2018,Bangalore,3,27,Male,Yes,5,1
+Bachelors,2012,Bangalore,3,29,Male,No,1,0
+Bachelors,2017,Pune,2,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,30,Male,No,2,1
+Bachelors,2014,New Delhi,3,29,Male,No,4,0
+Bachelors,2015,Pune,2,26,Female,No,4,1
+Bachelors,2014,Bangalore,3,27,Female,No,5,0
+Masters,2013,New Delhi,2,26,Male,No,4,1
+Bachelors,2013,New Delhi,3,29,Female,No,2,0
+Bachelors,2016,Bangalore,2,30,Female,No,4,1
+Bachelors,2017,New Delhi,3,29,Female,No,0,0
+Bachelors,2018,Bangalore,3,28,Male,No,3,1
+Bachelors,2014,Bangalore,3,29,Male,No,4,0
+Masters,2017,New Delhi,2,30,Female,No,2,0
+Bachelors,2018,Bangalore,3,29,Male,Yes,2,1
+Bachelors,2017,New Delhi,2,28,Female,No,1,0
+Bachelors,2013,Bangalore,2,27,Female,No,5,1
+Bachelors,2015,Bangalore,3,30,Male,No,4,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Masters,2017,Bangalore,2,30,Male,No,3,0
+Masters,2017,New Delhi,2,29,Male,No,4,0
+Bachelors,2014,Bangalore,3,28,Male,No,3,0
+Masters,2017,New Delhi,3,27,Male,No,5,1
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,New Delhi,3,27,Male,No,5,0
+Bachelors,2016,Pune,3,30,Male,No,0,0
+Bachelors,2015,Bangalore,3,29,Female,No,0,0
+Bachelors,2015,Pune,2,27,Female,Yes,5,1
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Bachelors,2015,New Delhi,3,29,Male,No,1,0
+Bachelors,2017,Bangalore,3,30,Male,No,4,0
+PHD,2017,New Delhi,3,27,Male,No,5,0
+PHD,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,28,Male,Yes,1,1
+Bachelors,2013,Bangalore,3,29,Male,No,1,0
+Masters,2017,Pune,2,29,Female,Yes,2,1
+Bachelors,2015,Pune,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,27,Female,No,5,0
+Masters,2018,Pune,3,26,Male,No,4,1
+Bachelors,2012,New Delhi,1,27,Female,No,5,1
+Masters,2017,Pune,2,27,Male,Yes,5,1
+Bachelors,2015,Pune,1,28,Female,No,0,1
+Bachelors,2014,Bangalore,3,29,Male,No,4,1
+Bachelors,2017,New Delhi,3,29,Female,No,3,0
+PHD,2015,Pune,2,26,Female,No,4,0
+Bachelors,2017,Bangalore,3,30,Female,No,5,0
+Bachelors,2016,Pune,3,26,Male,No,4,0
+Masters,2013,Pune,3,26,Male,No,4,1
+Bachelors,2012,Pune,2,29,Female,No,2,1
+Bachelors,2018,Bangalore,3,30,Male,Yes,2,1
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2018,Bangalore,2,28,Female,No,3,1
+Bachelors,2012,Bangalore,3,28,Male,No,0,1
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,28,Female,Yes,0,0
+Masters,2014,New Delhi,3,28,Male,No,2,0
+Bachelors,2012,Bangalore,3,26,Female,No,4,0
+Bachelors,2015,Pune,3,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,28,Male,Yes,2,0
+Bachelors,2018,Pune,3,29,Male,Yes,3,1
+Bachelors,2014,New Delhi,3,29,Male,Yes,4,0
+Bachelors,2015,Bangalore,3,29,Male,No,1,0
+Masters,2018,Bangalore,3,27,Male,Yes,5,1
+Bachelors,2014,Bangalore,3,28,Male,No,5,0
+Masters,2017,Pune,2,27,Male,No,5,0
+Bachelors,2017,Pune,2,27,Male,No,5,0
+Bachelors,2014,Bangalore,3,28,Male,No,4,0
+Bachelors,2017,New Delhi,2,26,Male,No,4,0
+Bachelors,2017,Pune,3,29,Female,No,0,1
+Bachelors,2012,Bangalore,3,26,Female,No,4,0
+Bachelors,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2017,Pune,2,26,Female,No,4,1
+Bachelors,2014,Bangalore,3,30,Male,No,1,0
+Bachelors,2018,Bangalore,3,29,Male,No,2,1
+Masters,2013,Bangalore,3,30,Male,No,2,1
+Bachelors,2016,Bangalore,3,27,Female,No,5,0
+Bachelors,2016,New Delhi,3,26,Female,No,4,0
+Bachelors,2017,Bangalore,1,30,Male,No,1,0
+Bachelors,2015,New Delhi,3,30,Female,Yes,1,0
+Bachelors,2013,Pune,3,30,Male,No,0,0
+Bachelors,2015,Pune,3,27,Male,No,5,0
+Bachelors,2017,Pune,3,30,Female,No,1,1
+PHD,2018,New Delhi,3,30,Male,No,2,1
+Bachelors,2018,Bangalore,3,29,Male,Yes,1,1
+Bachelors,2013,Bangalore,3,30,Male,Yes,0,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,1
+Bachelors,2016,New Delhi,3,29,Female,Yes,2,0
+Bachelors,2013,Pune,3,28,Male,No,5,0
+Bachelors,2014,New Delhi,3,26,Male,No,4,0
+Bachelors,2015,Pune,2,30,Female,No,1,1
+Masters,2013,New Delhi,2,26,Male,No,4,1
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Masters,2012,Pune,3,27,Male,Yes,5,1
+Bachelors,2017,Bangalore,3,27,Female,No,5,0
+Bachelors,2013,Bangalore,3,30,Male,No,1,0
+Bachelors,2014,New Delhi,3,27,Male,No,5,0
+Masters,2013,Bangalore,3,30,Male,No,1,1
+Bachelors,2016,Bangalore,3,29,Male,No,2,1
+Bachelors,2016,Bangalore,3,28,Male,No,3,0
+Masters,2017,New Delhi,3,29,Female,No,2,0
+Bachelors,2014,New Delhi,3,26,Male,No,4,0
+Masters,2018,New Delhi,3,30,Male,No,2,1
+Masters,2014,Pune,3,27,Female,No,5,1
+Bachelors,2017,Pune,3,29,Male,No,0,0
+Masters,2016,New Delhi,3,30,Male,No,2,0
+Masters,2017,New Delhi,3,30,Male,No,3,1
+Bachelors,2013,Pune,2,30,Female,No,1,1
+Masters,2014,New Delhi,3,28,Female,No,3,0
+Bachelors,2013,Pune,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,1,30,Male,No,2,0
+Bachelors,2016,Bangalore,3,28,Male,Yes,3,0
+Bachelors,2013,Pune,1,30,Female,Yes,1,1
+Bachelors,2013,Bangalore,3,30,Female,No,5,0
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Pune,3,27,Male,No,5,0
+Masters,2012,New Delhi,3,26,Female,No,4,0
+Bachelors,2013,Pune,2,26,Male,Yes,4,0
+Bachelors,2018,Bangalore,3,27,Male,No,5,1
+PHD,2018,New Delhi,2,30,Female,No,4,1
+Bachelors,2017,Bangalore,3,29,Male,No,3,0
+Bachelors,2013,Bangalore,3,28,Male,No,1,0
+Bachelors,2012,Bangalore,3,28,Male,Yes,2,0
+Masters,2017,New Delhi,1,30,Male,No,2,0
+Bachelors,2017,New Delhi,2,26,Female,No,4,0
+Masters,2013,Bangalore,1,29,Female,No,2,1
+Bachelors,2012,Pune,3,29,Male,No,5,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,29,Male,No,4,0
+Bachelors,2014,Bangalore,3,29,Male,No,3,1
+Bachelors,2018,Bangalore,3,28,Male,No,0,1
+Bachelors,2012,Bangalore,3,27,Male,No,5,1
+Bachelors,2017,New Delhi,2,26,Male,No,4,0
+Bachelors,2014,Pune,2,29,Female,No,1,1
+Bachelors,2017,Bangalore,3,29,Male,No,4,0
+Bachelors,2015,Pune,2,28,Female,No,3,1
+Bachelors,2017,Bangalore,3,28,Male,No,5,0
+Bachelors,2017,Bangalore,3,29,Male,No,0,0
+Bachelors,2017,Bangalore,3,30,Male,No,2,0
+Bachelors,2017,New Delhi,2,26,Female,No,4,0
+Masters,2017,New Delhi,2,30,Female,No,2,0
+Bachelors,2015,Pune,2,29,Female,No,4,1
+Bachelors,2014,Pune,3,29,Female,No,1,1
+Bachelors,2012,Bangalore,3,28,Male,No,2,0
+Bachelors,2012,Bangalore,3,28,Female,No,4,0
+Bachelors,2017,Bangalore,3,29,Female,No,5,0
+Bachelors,2015,Bangalore,3,30,Male,Yes,3,0
+Masters,2012,Pune,3,26,Male,No,4,1
+Bachelors,2018,Bangalore,3,28,Male,No,5,1
+Bachelors,2017,New Delhi,3,30,Male,No,5,0
+Bachelors,2012,New Delhi,3,27,Female,No,5,0
+Bachelors,2017,New Delhi,3,26,Female,No,4,0
+Bachelors,2014,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2014,Bangalore,3,30,Male,No,0,0
+Bachelors,2014,New Delhi,3,30,Female,No,2,0
+Bachelors,2012,New Delhi,3,29,Female,No,5,0
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2015,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,Pune,2,29,Female,No,4,1
+Masters,2016,Pune,3,29,Male,No,4,1
+Bachelors,2017,Bangalore,3,26,Male,No,4,0
+Masters,2017,New Delhi,3,26,Female,No,4,0
+Masters,2012,New Delhi,3,29,Male,No,2,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,0
+Bachelors,2012,Pune,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,28,Female,No,2,1
+Bachelors,2013,New Delhi,3,30,Female,No,3,1
+Masters,2017,Pune,2,26,Female,No,4,1
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Masters,2017,New Delhi,2,28,Female,No,2,0
+Bachelors,2017,New Delhi,2,27,Male,No,5,0
+PHD,2018,Bangalore,3,27,Male,No,5,1
+Bachelors,2013,Bangalore,3,30,Female,No,1,0
+Masters,2013,New Delhi,3,30,Male,No,0,1
+Masters,2018,New Delhi,3,26,Female,No,4,1
+Masters,2015,New Delhi,3,30,Male,No,2,0
+Bachelors,2012,Bangalore,3,29,Male,No,4,0
+Bachelors,2018,Bangalore,3,27,Male,Yes,5,1
+Masters,2017,Pune,2,28,Male,No,5,0
+Bachelors,2016,Pune,2,29,Male,No,3,1
+Bachelors,2015,Pune,2,27,Female,Yes,5,1
+Bachelors,2014,Bangalore,3,29,Male,No,4,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2018,Pune,3,28,Male,No,5,1
+Bachelors,2012,Bangalore,3,28,Female,No,0,0
+Masters,2017,Pune,2,28,Male,No,2,0
+Masters,2015,Pune,2,27,Female,No,5,0
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Bachelors,2014,Pune,3,29,Female,No,4,1
+Masters,2016,New Delhi,3,30,Male,No,3,0
+Bachelors,2014,Pune,1,26,Female,No,4,1
+Bachelors,2012,Pune,2,27,Female,No,5,1
+Bachelors,2017,Pune,3,30,Male,No,0,0
+Bachelors,2013,Pune,3,27,Male,No,5,0
+Bachelors,2017,New Delhi,2,30,Male,No,4,0
+Bachelors,2017,New Delhi,2,28,Female,No,4,0
+PHD,2016,Bangalore,3,30,Female,No,5,0
+Bachelors,2018,Bangalore,3,28,Male,No,1,1
+Bachelors,2017,Pune,2,29,Male,No,3,0
+Bachelors,2017,New Delhi,2,30,Male,No,1,1
+Bachelors,2015,Bangalore,3,27,Male,No,5,0
+Bachelors,2013,Pune,3,30,Male,No,0,0
+Bachelors,2018,Bangalore,3,26,Male,Yes,4,1
+Bachelors,2015,New Delhi,3,28,Female,No,3,0
+Masters,2017,New Delhi,2,26,Female,Yes,4,1
+Bachelors,2016,Pune,2,30,Female,No,1,1
+Masters,2014,New Delhi,3,28,Male,No,0,0
+Bachelors,2015,Bangalore,3,28,Male,No,2,0
+Masters,2015,Pune,2,30,Female,No,1,0
+Masters,2017,New Delhi,2,27,Female,No,5,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Pune,3,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,30,Male,No,1,1
+Masters,2017,New Delhi,3,29,Male,No,2,0
+Bachelors,2012,Bangalore,3,30,Female,No,1,0
+Bachelors,2018,Bangalore,3,29,Male,No,3,1
+Masters,2018,Pune,3,29,Male,No,2,1
+Bachelors,2016,Bangalore,3,27,Female,No,5,0
+Bachelors,2017,New Delhi,2,28,Male,No,2,0
+Bachelors,2016,Bangalore,3,29,Female,No,0,1
+Bachelors,2016,New Delhi,1,29,Female,No,1,0
+Bachelors,2015,Pune,2,28,Female,No,0,1
+Bachelors,2012,Bangalore,3,29,Male,Yes,2,0
+PHD,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2018,Bangalore,3,29,Female,No,3,1
+Masters,2017,New Delhi,2,30,Male,No,2,0
+Masters,2016,New Delhi,3,29,Female,No,1,1
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Pune,3,28,Male,No,5,0
+Bachelors,2017,New Delhi,2,29,Female,No,5,0
+Bachelors,2014,Bangalore,3,30,Male,No,0,0
+Bachelors,2017,Bangalore,3,30,Male,No,0,0
+Bachelors,2014,Pune,3,28,Male,No,2,0
+Bachelors,2013,New Delhi,3,28,Female,No,1,0
+Bachelors,2016,New Delhi,3,26,Female,No,4,0
+Bachelors,2012,New Delhi,3,28,Female,No,0,0
+Bachelors,2017,Bangalore,3,29,Male,No,0,0
+Bachelors,2018,Bangalore,3,27,Male,No,5,1
+Masters,2017,New Delhi,2,26,Male,No,4,1
+Bachelors,2017,New Delhi,3,26,Female,No,4,0
+Bachelors,2013,Bangalore,3,27,Male,No,5,1
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,Pune,2,29,Female,No,0,1
+Bachelors,2013,Pune,2,28,Female,No,4,1
+Bachelors,2017,Bangalore,3,26,Male,No,4,0
+Bachelors,2015,Pune,2,28,Female,No,0,1
+Bachelors,2017,Bangalore,3,29,Male,No,1,0
+Bachelors,2013,Bangalore,3,29,Female,No,3,0
+Bachelors,2015,Bangalore,3,29,Male,No,5,0
+Bachelors,2017,New Delhi,3,30,Female,No,3,0
+Bachelors,2015,Pune,3,29,Male,No,0,0
+Bachelors,2013,Bangalore,3,27,Female,Yes,5,0
+Bachelors,2016,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,1
+Bachelors,2012,Bangalore,3,28,Male,No,2,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2018,Bangalore,3,29,Male,No,0,1
+Bachelors,2017,Bangalore,1,29,Female,No,5,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Masters,2017,Bangalore,2,27,Male,No,5,1
+Masters,2014,New Delhi,3,28,Female,No,2,0
+Bachelors,2012,New Delhi,3,27,Female,No,5,1
+Bachelors,2012,Bangalore,3,28,Male,No,0,0
+Masters,2017,Pune,2,27,Male,No,5,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,New Delhi,3,27,Female,No,5,1
+Bachelors,2013,Bangalore,2,26,Female,No,4,1
+Bachelors,2012,Pune,2,27,Female,No,5,1
+Bachelors,2016,Pune,3,26,Female,No,4,1
+Bachelors,2017,New Delhi,2,27,Male,No,5,0
+Bachelors,2012,Bangalore,3,28,Female,No,3,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Masters,2017,New Delhi,3,27,Male,No,5,0
+Bachelors,2013,Pune,2,30,Female,No,5,1
+Bachelors,2013,Pune,3,28,Male,No,0,0
+Bachelors,2012,Pune,3,26,Male,No,4,0
+Bachelors,2016,Bangalore,3,28,Male,No,3,1
+Masters,2015,Pune,3,26,Male,No,4,1
+Bachelors,2017,New Delhi,2,26,Female,No,4,0
+Masters,2017,Bangalore,2,26,Male,No,4,1
+Bachelors,2014,Bangalore,3,30,Female,No,2,0
+Bachelors,2014,Bangalore,3,29,Female,No,2,0
+Bachelors,2017,Pune,3,26,Male,Yes,4,0
+Bachelors,2013,Bangalore,3,28,Male,No,0,0
+Bachelors,2018,Bangalore,3,29,Male,No,1,1
+Bachelors,2016,Bangalore,3,30,Female,No,3,0
+Bachelors,2017,Bangalore,3,30,Male,No,0,1
+PHD,2015,New Delhi,3,29,Male,No,4,0
+Bachelors,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Bachelors,2014,Bangalore,1,28,Female,No,5,0
+Bachelors,2014,Pune,3,30,Male,No,0,0
+Masters,2012,Bangalore,3,26,Female,No,4,1
+Bachelors,2013,New Delhi,2,26,Female,No,4,1
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2016,New Delhi,3,29,Female,No,0,0
+Bachelors,2015,Bangalore,3,27,Female,No,5,0
+Masters,2018,New Delhi,3,28,Female,No,2,1
+PHD,2015,New Delhi,2,27,Female,No,5,0
+Masters,2013,Pune,1,30,Male,No,1,0
+Bachelors,2012,Pune,3,26,Male,No,4,0
+Bachelors,2015,Pune,2,26,Female,Yes,4,1
+Bachelors,2018,New Delhi,3,30,Female,Yes,3,1
+PHD,2013,New Delhi,3,30,Male,No,5,0
+Bachelors,2013,Bangalore,3,28,Male,No,0,0
+Masters,2014,New Delhi,3,26,Male,Yes,4,1
+Bachelors,2017,Bangalore,3,29,Male,No,1,0
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2012,Pune,3,26,Male,No,4,0
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2015,Pune,3,29,Male,No,0,0
+Bachelors,2014,Bangalore,1,26,Male,No,4,0
+Bachelors,2018,Bangalore,3,36,Male,No,2,1
+Bachelors,2018,Bangalore,3,37,Male,No,4,1
+Bachelors,2015,Pune,3,35,Female,No,0,1
+Bachelors,2013,Pune,2,32,Female,No,4,1
+Bachelors,2013,Pune,1,39,Female,No,0,1
+Bachelors,2018,Pune,3,32,Male,No,1,1
+PHD,2012,New Delhi,3,37,Female,No,5,0
+Bachelors,2012,Pune,3,31,Male,No,4,0
+Bachelors,2018,Pune,3,31,Male,No,1,1
+Bachelors,2017,Bangalore,3,33,Male,No,2,0
+Masters,2017,Pune,2,37,Male,No,2,0
+Bachelors,2014,Pune,3,31,Male,Yes,1,0
+Masters,2017,Bangalore,3,40,Female,No,4,0
+Bachelors,2017,New Delhi,2,32,Male,No,0,0
+Bachelors,2016,Bangalore,3,41,Male,No,0,0
+Bachelors,2018,Bangalore,3,35,Female,Yes,5,1
+Bachelors,2014,Pune,3,34,Male,No,3,0
+Bachelors,2017,Bangalore,3,31,Male,No,0,0
+Masters,2017,Bangalore,3,41,Female,No,2,1
+Bachelors,2015,Pune,3,41,Male,No,5,0
+Bachelors,2016,Bangalore,3,37,Female,No,0,0
+Bachelors,2018,Bangalore,3,32,Female,No,3,1
+Bachelors,2015,Bangalore,3,37,Male,Yes,3,0
+Bachelors,2016,Bangalore,3,32,Male,No,1,0
+Masters,2017,New Delhi,3,36,Female,No,5,0
+Bachelors,2014,Bangalore,3,36,Male,No,3,0
+Bachelors,2015,Bangalore,3,36,Male,No,5,0
+Bachelors,2017,Bangalore,3,41,Male,Yes,3,0
+Bachelors,2015,Pune,3,39,Male,No,3,0
+Bachelors,2013,Pune,3,37,Male,No,0,0
+Bachelors,2013,Bangalore,3,32,Male,No,1,0
+Bachelors,2012,Bangalore,3,36,Male,No,2,0
+Bachelors,2013,Bangalore,3,36,Male,No,4,0
+Bachelors,2014,Bangalore,3,36,Male,No,1,0
+Bachelors,2018,Bangalore,3,32,Female,Yes,2,1
+Bachelors,2018,Bangalore,3,34,Male,No,3,1
+Bachelors,2018,Bangalore,3,37,Male,Yes,5,1
+Bachelors,2018,Pune,3,40,Male,Yes,3,1
+Bachelors,2014,Pune,2,36,Female,No,3,1
+Bachelors,2017,Pune,2,38,Female,No,0,0
+Masters,2017,New Delhi,2,31,Female,No,0,1
+Bachelors,2013,New Delhi,3,41,Female,No,4,0
+Masters,2012,Bangalore,2,32,Male,No,3,1
+Bachelors,2017,New Delhi,2,41,Female,No,3,0
+Bachelors,2013,Pune,3,40,Male,No,5,0
+Bachelors,2014,Bangalore,3,38,Female,No,2,1
+Masters,2017,New Delhi,2,36,Male,No,5,0
+Bachelors,2013,New Delhi,3,33,Female,No,1,0
+Bachelors,2014,Bangalore,3,39,Male,Yes,0,0
+Bachelors,2013,Bangalore,3,39,Male,No,0,0
+Bachelors,2014,Bangalore,3,33,Male,No,4,0
+Bachelors,2017,Pune,3,32,Male,No,5,0
+Bachelors,2014,Bangalore,3,35,Female,No,2,1
+Bachelors,2014,Bangalore,3,36,Male,No,5,0
+Bachelors,2018,Pune,2,39,Female,No,0,1
+Bachelors,2013,Bangalore,3,37,Female,No,5,0
+Masters,2017,New Delhi,2,35,Female,No,2,1
+Bachelors,2017,Bangalore,3,36,Male,No,5,0
+Masters,2013,New Delhi,3,41,Male,No,0,0
+Bachelors,2017,Bangalore,3,33,Male,No,2,0
+Bachelors,2018,Bangalore,3,38,Male,No,2,1
+Bachelors,2015,Bangalore,3,34,Male,No,5,0
+Bachelors,2012,Bangalore,3,34,Male,No,1,0
+Bachelors,2015,Pune,3,35,Male,Yes,5,0
+Bachelors,2012,Bangalore,3,39,Female,No,2,0
+Bachelors,2012,Bangalore,3,41,Male,No,3,0
+Bachelors,2018,Bangalore,3,34,Male,Yes,2,1
+Masters,2015,Pune,2,35,Female,No,1,0
+Bachelors,2012,Bangalore,3,33,Male,No,2,0
+Bachelors,2015,Bangalore,3,39,Male,No,3,0
+Masters,2017,New Delhi,2,35,Male,Yes,2,0
+Bachelors,2017,New Delhi,2,31,Female,No,0,0
+Bachelors,2016,Bangalore,3,34,Male,Yes,4,0
+Bachelors,2013,Bangalore,3,40,Female,Yes,5,0
+Bachelors,2016,New Delhi,3,31,Female,No,4,0
+Bachelors,2016,Pune,3,33,Male,No,3,0
+Bachelors,2013,Bangalore,3,32,Male,No,5,0
+Masters,2017,New Delhi,2,31,Male,No,4,1
+Bachelors,2014,Bangalore,3,39,Male,No,2,0
+Bachelors,2016,Bangalore,3,33,Male,No,1,1
+Bachelors,2014,Bangalore,3,40,Female,No,4,0
+Bachelors,2016,Bangalore,3,39,Male,No,0,1
+Bachelors,2017,Bangalore,3,35,Male,Yes,2,0
+Bachelors,2017,Bangalore,3,32,Male,No,1,0
+Bachelors,2015,Pune,2,34,Female,No,5,1
+Bachelors,2017,Bangalore,3,40,Female,No,4,0
+Masters,2017,Pune,3,33,Male,No,4,1
+Bachelors,2015,Pune,2,36,Female,No,0,1
+Masters,2018,Bangalore,3,39,Male,No,3,1
+Bachelors,2012,Bangalore,3,37,Female,No,5,1
+Bachelors,2018,Bangalore,3,36,Male,No,1,1
+Bachelors,2017,New Delhi,2,39,Male,No,2,0
+Bachelors,2015,Pune,2,35,Female,Yes,4,1
+Masters,2018,New Delhi,3,41,Male,No,2,1
+Bachelors,2012,Pune,3,31,Male,No,5,0
+Bachelors,2015,Pune,2,36,Female,Yes,0,1
+Bachelors,2016,Bangalore,3,32,Male,No,1,0
+Bachelors,2017,Bangalore,3,37,Male,No,2,1
+Bachelors,2015,Pune,2,39,Female,No,4,1
+Bachelors,2012,Pune,3,34,Male,No,2,0
+Bachelors,2012,Bangalore,3,35,Female,No,1,0
+Bachelors,2015,Bangalore,3,40,Female,No,2,0
+Bachelors,2016,Bangalore,3,39,Female,No,1,0
+Bachelors,2017,Bangalore,3,39,Female,No,1,0
+Bachelors,2015,Pune,3,41,Female,No,3,1
+Bachelors,2012,Pune,3,40,Male,No,2,0
+Bachelors,2012,Bangalore,1,36,Male,No,3,0
+Bachelors,2017,New Delhi,2,33,Female,No,2,0
+Masters,2014,New Delhi,3,33,Male,No,2,0
+Masters,2018,New Delhi,3,40,Male,No,2,1
+Bachelors,2015,Pune,2,34,Female,No,2,1
+Bachelors,2014,Bangalore,3,33,Female,No,1,0
+Masters,2015,New Delhi,1,34,Male,No,5,1
+Masters,2017,New Delhi,1,40,Male,No,5,0
+Bachelors,2014,Bangalore,3,32,Male,No,4,0
+Bachelors,2017,New Delhi,3,38,Male,No,2,0
+Bachelors,2015,Bangalore,3,38,Male,No,4,0
+Bachelors,2015,Bangalore,3,32,Male,No,2,0
+Bachelors,2013,Bangalore,3,31,Female,Yes,3,1
+Bachelors,2015,Bangalore,3,39,Female,No,0,0
+Masters,2017,Pune,2,41,Male,Yes,2,0
+Bachelors,2015,Pune,2,35,Female,Yes,2,1
+Bachelors,2016,Pune,3,39,Male,No,5,0
+Bachelors,2014,Bangalore,3,40,Female,No,0,0
+Bachelors,2016,Bangalore,3,41,Male,No,1,0
+Masters,2015,Pune,2,34,Female,No,1,0
+Bachelors,2016,Pune,2,37,Female,No,5,1
+Bachelors,2017,New Delhi,2,36,Male,No,2,0
+Bachelors,2015,Pune,3,37,Male,No,1,0
+Masters,2015,Pune,1,40,Female,No,1,0
+Bachelors,2018,New Delhi,3,39,Female,Yes,0,1
+Bachelors,2017,New Delhi,2,36,Female,No,5,0
+Bachelors,2015,Bangalore,2,32,Female,No,2,1
+PHD,2015,Pune,3,31,Female,No,1,0
+Bachelors,2012,Bangalore,3,31,Male,No,4,0
+Bachelors,2013,New Delhi,3,36,Female,No,5,0
+Bachelors,2014,Bangalore,3,35,Male,No,3,0
+Masters,2013,New Delhi,2,33,Female,No,2,1
+Bachelors,2014,Bangalore,3,39,Male,Yes,1,0
+Bachelors,2015,Pune,3,35,Female,No,1,1
+Bachelors,2013,Bangalore,3,38,Female,No,4,0
+Masters,2017,Bangalore,3,39,Female,No,4,1
+Bachelors,2012,Bangalore,3,41,Male,No,3,0
+Bachelors,2014,Pune,2,35,Male,No,2,1
+Bachelors,2016,Pune,3,31,Male,No,1,0
+Bachelors,2017,New Delhi,2,32,Female,No,4,1
+Bachelors,2016,New Delhi,3,34,Male,No,1,0
+Bachelors,2014,Bangalore,3,34,Male,Yes,3,0
+Masters,2014,New Delhi,3,36,Male,No,1,1
+Masters,2017,Bangalore,2,41,Male,No,4,0
+Masters,2017,Pune,2,39,Female,No,3,0
+Masters,2017,New Delhi,2,38,Male,No,5,0
+Bachelors,2012,Bangalore,3,37,Male,No,4,0
+Bachelors,2015,Bangalore,3,38,Male,No,3,1
+Bachelors,2014,Bangalore,3,37,Male,No,4,0
+Bachelors,2017,Bangalore,3,34,Male,No,5,0
+Bachelors,2014,Bangalore,1,39,Male,No,5,0
+Masters,2017,New Delhi,2,38,Female,No,2,1
+Masters,2017,New Delhi,3,33,Male,No,5,0
+Bachelors,2012,Bangalore,3,33,Female,No,5,0
+Bachelors,2012,Bangalore,3,34,Male,No,4,0
+Bachelors,2016,Pune,2,32,Female,No,0,1
+Bachelors,2012,Bangalore,3,33,Female,Yes,0,0
+Masters,2013,Pune,3,37,Male,No,2,0
+Masters,2015,New Delhi,3,37,Male,No,2,1
+Bachelors,2013,New Delhi,3,37,Male,No,2,0
+Bachelors,2017,Bangalore,3,40,Male,Yes,1,0
+Masters,2016,New Delhi,3,32,Male,No,1,0
+Bachelors,2016,Bangalore,3,36,Female,No,5,1
+Bachelors,2014,Bangalore,3,36,Male,No,4,0
+Bachelors,2014,Bangalore,3,36,Female,No,1,1
+Masters,2017,New Delhi,3,31,Male,No,1,1
+Bachelors,2015,Bangalore,3,38,Male,Yes,4,0
+Masters,2017,New Delhi,3,38,Male,No,2,0
+Bachelors,2012,Pune,3,39,Male,No,2,0
+Bachelors,2014,Bangalore,1,37,Male,No,5,0
+Bachelors,2015,Pune,2,36,Female,No,1,1
+Bachelors,2013,Bangalore,3,35,Male,No,2,1
+Bachelors,2013,Pune,3,40,Female,No,5,1
+Bachelors,2014,Pune,3,40,Male,No,5,0
+Bachelors,2017,Bangalore,3,35,Female,No,3,0
+Bachelors,2012,Bangalore,3,41,Female,No,5,0
+Bachelors,2015,Bangalore,3,32,Male,No,4,0
+Bachelors,2013,Bangalore,3,41,Male,No,2,0
+Bachelors,2016,New Delhi,3,40,Female,No,1,1
+Bachelors,2017,Pune,3,40,Male,No,3,0
+Bachelors,2017,Bangalore,3,34,Male,No,3,1
+Masters,2017,New Delhi,2,36,Male,Yes,2,0
+Bachelors,2017,New Delhi,3,33,Female,No,2,0
+Bachelors,2014,Pune,3,41,Male,No,2,0
+Bachelors,2014,Bangalore,3,40,Female,No,3,0
+Bachelors,2016,Bangalore,3,31,Male,No,1,1
+Masters,2015,Bangalore,3,32,Female,No,2,1
+Bachelors,2017,Pune,3,34,Female,No,1,1
+Bachelors,2016,New Delhi,3,32,Male,No,4,0
+Bachelors,2013,Bangalore,3,32,Female,No,4,0
+Bachelors,2014,Bangalore,3,38,Male,No,2,0
+Masters,2017,New Delhi,3,32,Male,No,1,1
+Bachelors,2015,New Delhi,3,40,Male,No,2,0
+Bachelors,2017,New Delhi,1,38,Female,No,1,1
+Bachelors,2017,Pune,3,37,Male,No,0,0
+PHD,2014,Bangalore,3,31,Male,No,1,0
+Bachelors,2014,Pune,3,34,Male,No,0,0
+Masters,2017,New Delhi,2,34,Female,No,2,1
+Bachelors,2013,Pune,2,37,Female,No,0,1
+Masters,2017,New Delhi,2,31,Male,No,1,0
+Bachelors,2017,Bangalore,3,35,Male,No,5,0
+PHD,2015,New Delhi,3,34,Female,No,4,0
+Bachelors,2012,Bangalore,1,32,Male,No,1,1
+Bachelors,2017,Pune,3,31,Male,Yes,0,0
+Bachelors,2015,Bangalore,3,36,Female,No,5,0
+Masters,2017,New Delhi,3,38,Female,No,2,0
+Bachelors,2015,Pune,3,34,Male,No,4,0
+Bachelors,2013,Bangalore,1,39,Female,No,1,1
+PHD,2013,Pune,3,35,Male,No,0,0
+Masters,2015,Pune,2,33,Male,No,4,1
+Masters,2014,Bangalore,3,35,Female,No,2,1
+Masters,2015,New Delhi,3,40,Male,No,2,0
+Bachelors,2015,Pune,2,32,Female,No,0,1
+Bachelors,2013,Bangalore,3,38,Male,No,1,0
+Bachelors,2012,Bangalore,3,32,Female,No,1,1
+Bachelors,2018,Bangalore,3,36,Male,No,3,1
+Bachelors,2012,Bangalore,3,35,Male,No,1,0
+Bachelors,2013,New Delhi,3,37,Female,No,0,0
+Bachelors,2015,Pune,2,35,Male,No,3,1
+Masters,2017,Pune,2,37,Female,No,1,0
+Masters,2017,Pune,2,39,Male,No,4,0
+Masters,2014,Pune,3,40,Male,No,4,1
+Bachelors,2012,Pune,2,41,Female,No,1,1
+Bachelors,2018,Pune,3,41,Male,Yes,0,1
+Masters,2017,Pune,2,39,Female,No,2,0
+Bachelors,2012,Bangalore,3,38,Female,No,5,0
+Bachelors,2013,Bangalore,3,33,Male,No,3,0
+Bachelors,2014,Bangalore,3,36,Female,No,3,0
+Bachelors,2017,Bangalore,3,41,Male,No,5,0
+PHD,2012,New Delhi,3,40,Female,No,5,0
+Bachelors,2013,Bangalore,3,31,Female,No,4,1
+Bachelors,2012,Bangalore,3,33,Female,No,1,0
+Bachelors,2015,Bangalore,3,39,Male,Yes,2,0
+Masters,2014,Pune,2,33,Female,No,5,0
+Bachelors,2015,Bangalore,3,35,Male,No,0,0
+Masters,2012,New Delhi,3,38,Male,No,2,0
+Bachelors,2016,Bangalore,3,36,Female,No,0,0
+Bachelors,2014,Pune,2,36,Female,No,2,1
+Bachelors,2015,Bangalore,1,35,Male,No,5,0
+Bachelors,2017,Pune,2,34,Female,No,5,1
+Bachelors,2015,Pune,2,41,Female,No,3,1
+Bachelors,2016,Pune,3,32,Female,No,3,1
+Bachelors,2017,Pune,2,41,Female,No,2,1
+Bachelors,2016,Bangalore,3,36,Male,No,0,0
+Bachelors,2017,Pune,2,39,Male,No,3,0
+Bachelors,2015,Bangalore,3,38,Male,Yes,2,0
+Bachelors,2014,Bangalore,3,34,Male,No,3,1
+Bachelors,2012,Bangalore,3,39,Female,No,5,0
+Bachelors,2017,Pune,3,36,Male,No,1,0
+Bachelors,2014,Bangalore,3,35,Male,No,1,0
+Masters,2018,Bangalore,3,31,Male,No,2,1
+Bachelors,2012,Bangalore,3,41,Female,No,4,0
+Bachelors,2017,Bangalore,3,35,Female,No,4,0
+Bachelors,2015,Bangalore,1,40,Male,No,2,0
+Bachelors,2018,Bangalore,3,33,Female,No,4,1
+Bachelors,2016,Bangalore,3,37,Female,No,0,0
+PHD,2018,Bangalore,3,36,Female,No,3,1
+Bachelors,2012,Bangalore,3,40,Male,No,0,0
+Bachelors,2017,New Delhi,2,36,Male,No,0,0
+Masters,2015,New Delhi,3,38,Female,No,0,0
+Bachelors,2014,New Delhi,2,31,Female,No,4,1
+Bachelors,2016,Pune,3,40,Male,No,4,0
+Bachelors,2017,Bangalore,3,37,Female,No,4,0
+Bachelors,2015,New Delhi,3,38,Female,No,0,0
+Masters,2017,New Delhi,2,35,Female,No,2,0
+PHD,2018,New Delhi,3,35,Female,No,0,1
+Bachelors,2012,Bangalore,3,38,Female,No,3,0
+Bachelors,2012,Pune,3,31,Female,No,5,0
+Masters,2016,New Delhi,3,33,Female,No,1,0
+Bachelors,2013,Pune,2,32,Female,No,1,1
+Bachelors,2017,Bangalore,1,39,Male,No,0,0
+Bachelors,2018,New Delhi,3,35,Female,No,2,1
+Bachelors,2014,New Delhi,3,38,Female,No,5,0
+Bachelors,2015,Bangalore,3,32,Male,No,0,0
+Bachelors,2017,Bangalore,3,34,Female,No,2,0
+Bachelors,2017,Bangalore,3,41,Male,No,1,0
+Masters,2012,Bangalore,3,40,Female,No,5,0
+Bachelors,2012,Pune,2,32,Male,No,1,1
+Bachelors,2013,Bangalore,3,35,Male,No,0,0
+PHD,2013,New Delhi,1,36,Female,No,3,0
+Bachelors,2013,Bangalore,3,40,Female,No,4,0
+Bachelors,2018,Pune,2,35,Female,No,2,1
+Masters,2017,New Delhi,2,37,Female,No,4,0
+Bachelors,2017,Bangalore,3,34,Male,No,3,0
+Bachelors,2012,Pune,3,36,Male,No,1,0
+Bachelors,2015,New Delhi,3,37,Male,No,4,0
+Bachelors,2014,Bangalore,3,39,Male,No,5,0
+Bachelors,2017,New Delhi,2,39,Female,No,0,0
+Masters,2018,New Delhi,3,38,Male,No,2,1
+Bachelors,2013,New Delhi,3,37,Female,No,1,0
+Bachelors,2012,New Delhi,2,33,Female,No,0,1
+PHD,2014,Bangalore,3,38,Female,No,3,0
+Masters,2017,New Delhi,2,40,Female,No,2,1
+Bachelors,2012,Bangalore,3,41,Male,No,5,0
+Bachelors,2013,Bangalore,2,38,Female,No,1,1
+Bachelors,2012,Bangalore,3,37,Male,No,4,0
+Bachelors,2014,Bangalore,3,39,Male,No,5,1
+Bachelors,2018,Bangalore,3,35,Male,No,1,1
+Masters,2017,New Delhi,3,39,Female,No,5,1
+Bachelors,2015,Pune,2,31,Female,No,1,1
+Bachelors,2012,Pune,3,33,Male,No,2,0
+Bachelors,2017,Pune,3,33,Male,No,2,0
+Bachelors,2013,Pune,3,32,Male,No,2,0
+Bachelors,2015,Pune,2,40,Female,No,4,1
+Bachelors,2013,New Delhi,3,38,Female,No,4,0
+Bachelors,2016,Bangalore,3,34,Male,Yes,2,0
+Bachelors,2016,Bangalore,1,39,Male,No,2,0
+Bachelors,2012,Bangalore,3,38,Male,No,2,0
+Masters,2017,New Delhi,2,31,Female,No,2,1
+Bachelors,2017,Bangalore,3,35,Female,No,5,0
+Bachelors,2013,Bangalore,3,31,Male,No,2,0
+Bachelors,2012,Pune,3,33,Male,No,1,0
+Bachelors,2015,Pune,2,37,Female,No,3,1
+Masters,2018,New Delhi,3,40,Female,No,2,1
+Bachelors,2014,Bangalore,3,38,Male,No,0,0
+Bachelors,2012,Bangalore,3,31,Male,Yes,5,0
+PHD,2014,Bangalore,3,39,Male,No,1,0
+Bachelors,2016,New Delhi,3,40,Male,No,0,0
+Bachelors,2017,Pune,3,36,Female,No,0,1
+Bachelors,2015,Bangalore,3,39,Female,No,3,1
+Bachelors,2012,Bangalore,3,39,Male,No,0,0
+Bachelors,2013,Bangalore,3,35,Female,No,0,0
+Masters,2013,New Delhi,3,35,Male,No,2,0
+Bachelors,2013,Bangalore,3,35,Male,No,5,0
+Masters,2017,Bangalore,3,34,Female,No,4,0
+Bachelors,2014,Bangalore,3,41,Male,No,4,0
+Bachelors,2017,Bangalore,3,35,Male,No,5,0
+Bachelors,2013,Bangalore,3,40,Male,No,1,0
+Masters,2017,Pune,3,31,Male,No,3,1
+Masters,2014,New Delhi,3,33,Male,No,3,0
+Bachelors,2017,Pune,2,33,Female,No,2,1
+Bachelors,2016,Bangalore,3,39,Female,No,5,0
+Bachelors,2016,Bangalore,3,41,Male,No,1,1
+Bachelors,2017,Bangalore,3,32,Male,No,5,0
+Bachelors,2014,Pune,2,39,Female,No,5,1
+Bachelors,2014,Bangalore,3,31,Male,No,1,0
+Bachelors,2012,Bangalore,3,40,Male,No,3,0
+Masters,2018,New Delhi,3,34,Male,No,2,1
+Bachelors,2018,New Delhi,3,37,Male,No,4,1
+Bachelors,2016,Bangalore,3,37,Female,No,0,0
+Bachelors,2014,Bangalore,3,36,Female,No,3,0
+Bachelors,2015,Bangalore,2,39,Female,No,0,1
+Bachelors,2014,Pune,3,37,Male,No,1,0
+Masters,2014,New Delhi,3,37,Male,No,2,0
+Masters,2017,New Delhi,3,32,Male,No,2,0
+Bachelors,2014,New Delhi,3,37,Male,No,3,0
+Bachelors,2017,Bangalore,3,36,Female,No,3,0
+Bachelors,2015,Pune,2,40,Female,No,2,1
+Bachelors,2014,Bangalore,3,40,Male,No,0,0
+Bachelors,2012,Pune,3,32,Male,No,3,0
+Bachelors,2012,Bangalore,3,37,Male,No,3,1
+Bachelors,2017,Pune,3,40,Female,No,1,1
+Bachelors,2014,Pune,3,40,Male,No,5,0
+Bachelors,2017,Bangalore,3,34,Female,Yes,0,0
+Bachelors,2012,Bangalore,3,37,Male,No,3,0
+Bachelors,2017,Bangalore,3,35,Male,No,3,0
+Bachelors,2017,Pune,3,37,Female,No,2,0
+Bachelors,2012,New Delhi,3,35,Female,No,2,0
+Bachelors,2014,Bangalore,3,31,Male,No,0,1
+Bachelors,2016,Bangalore,3,41,Male,No,4,0
+Masters,2017,New Delhi,3,37,Female,No,3,0
+Bachelors,2018,Pune,3,40,Male,No,0,1
+Bachelors,2018,Bangalore,1,36,Male,Yes,1,0
+PHD,2018,New Delhi,3,37,Female,No,2,1
+Bachelors,2014,Bangalore,3,40,Female,No,0,0
+Bachelors,2017,Bangalore,3,34,Male,No,3,0
+Bachelors,2018,Pune,3,37,Male,No,5,1
+Bachelors,2016,Pune,3,38,Male,No,0,0
+Bachelors,2017,Bangalore,2,37,Male,No,2,1
+Bachelors,2016,Pune,3,32,Male,No,1,1
+Bachelors,2016,Bangalore,3,31,Male,No,3,0
+Bachelors,2013,Bangalore,1,40,Male,No,2,0
+Bachelors,2017,Bangalore,3,40,Female,No,4,0
+Bachelors,2015,Bangalore,3,31,Male,No,1,0
+Masters,2017,Pune,2,36,Male,No,2,0
+Bachelors,2017,Bangalore,3,38,Male,Yes,2,0
+Bachelors,2014,Pune,3,37,Female,No,5,1
+Bachelors,2014,Pune,3,34,Female,No,2,1
+Bachelors,2013,Bangalore,3,41,Male,Yes,2,1
+Bachelors,2015,Pune,2,32,Female,No,3,1
+Bachelors,2015,Pune,3,34,Male,No,5,0
+PHD,2013,Bangalore,3,39,Male,No,2,1
+Masters,2013,New Delhi,2,32,Male,No,2,1
+Bachelors,2012,Bangalore,3,31,Female,No,3,0
+PHD,2016,New Delhi,3,40,Male,No,1,0
+Bachelors,2015,Bangalore,3,37,Female,No,0,0
+Masters,2017,New Delhi,3,40,Female,No,0,0
+Bachelors,2013,Bangalore,3,31,Male,No,1,0
+Bachelors,2017,Bangalore,3,32,Male,No,2,0
+Bachelors,2017,Bangalore,3,34,Female,Yes,1,0
+Masters,2013,Pune,2,41,Male,No,2,1
+Masters,2015,New Delhi,3,37,Male,No,2,0
+Bachelors,2015,Bangalore,3,40,Female,No,1,0
+Masters,2017,Pune,2,35,Male,No,2,0
+Bachelors,2012,Bangalore,3,39,Male,No,3,0
+Bachelors,2017,Pune,3,41,Male,No,4,0
+Bachelors,2015,Bangalore,3,36,Male,No,4,0
+Bachelors,2014,Bangalore,3,32,Male,No,5,0
+Bachelors,2013,Bangalore,3,41,Male,No,2,0
+Bachelors,2013,Bangalore,3,32,Male,No,0,0
+Bachelors,2017,Bangalore,3,36,Male,No,2,0
+Bachelors,2013,Bangalore,3,40,Male,No,4,0
+Bachelors,2018,Bangalore,3,32,Male,Yes,1,1
+Bachelors,2016,Bangalore,3,38,Male,No,1,0
+Bachelors,2018,Bangalore,3,41,Male,No,4,1
+Masters,2017,Pune,2,35,Male,No,3,1
+Bachelors,2016,Bangalore,3,36,Female,No,1,0
+Bachelors,2014,Bangalore,3,35,Female,No,4,0
+Bachelors,2016,Bangalore,3,31,Male,No,2,0
+PHD,2015,Pune,3,37,Male,No,2,0
+Bachelors,2013,Bangalore,3,41,Female,No,4,0
+Bachelors,2013,Bangalore,3,31,Male,No,0,0
+Bachelors,2017,New Delhi,2,36,Male,No,2,0
+Bachelors,2015,New Delhi,3,32,Male,No,1,0
+Bachelors,2017,Bangalore,3,34,Male,No,0,0
+Bachelors,2015,Bangalore,3,39,Female,No,0,0
+Bachelors,2014,Bangalore,3,33,Male,No,1,1
+Bachelors,2017,New Delhi,2,36,Male,No,3,0
+Bachelors,2016,Bangalore,1,34,Male,Yes,2,1
+Bachelors,2017,Pune,2,33,Male,No,1,0
+Bachelors,2012,Bangalore,3,38,Female,No,4,1
+Bachelors,2013,Bangalore,3,35,Male,No,3,1
+Bachelors,2017,Pune,3,31,Male,No,1,0
+Bachelors,2013,Pune,3,37,Male,No,2,0
+Bachelors,2012,Bangalore,3,32,Female,No,2,1
+Bachelors,2013,Pune,3,34,Male,Yes,5,0
+PHD,2013,Bangalore,2,41,Male,No,2,1
+Masters,2015,New Delhi,3,32,Male,No,0,1
+Bachelors,2013,Bangalore,3,39,Male,No,2,0
+Bachelors,2012,Bangalore,3,31,Male,Yes,0,1
+Bachelors,2017,New Delhi,2,41,Male,No,1,0
+Bachelors,2016,Bangalore,3,36,Male,No,2,0
+Bachelors,2017,Bangalore,2,38,Female,No,5,1
+Bachelors,2012,Bangalore,3,32,Male,No,5,0
+Bachelors,2018,Pune,3,35,Female,No,3,1
+Bachelors,2017,Bangalore,3,39,Male,No,2,0
+Masters,2017,New Delhi,2,36,Male,Yes,2,0
+Bachelors,2013,Pune,3,33,Male,No,4,0
+Bachelors,2013,Pune,3,32,Male,Yes,5,0
+Bachelors,2017,Bangalore,3,35,Male,No,1,1
+Bachelors,2015,Bangalore,3,36,Male,No,1,0
+Masters,2014,Pune,3,39,Male,No,4,0
+Bachelors,2016,Bangalore,3,40,Male,No,0,1
+Bachelors,2012,Bangalore,3,37,Male,No,3,0
+Masters,2015,Pune,1,38,Female,No,0,0
+Bachelors,2017,New Delhi,3,40,Male,No,1,0
+Bachelors,2013,Bangalore,3,34,Female,No,2,0
+Bachelors,2013,Bangalore,3,31,Male,Yes,4,0
+Bachelors,2014,New Delhi,3,40,Female,No,3,1
+Bachelors,2013,Bangalore,3,37,Male,No,2,0
+Bachelors,2012,New Delhi,3,33,Male,No,3,0
+Bachelors,2015,Bangalore,3,36,Male,Yes,4,0
+Bachelors,2014,Bangalore,3,35,Female,No,4,0
+Bachelors,2014,Bangalore,3,34,Male,No,5,0
+Bachelors,2013,Bangalore,3,35,Male,No,0,1
+Masters,2014,New Delhi,3,39,Male,No,2,0
+Bachelors,2015,Pune,3,35,Female,No,1,1
+Masters,2014,New Delhi,3,34,Male,No,5,0
+Bachelors,2017,Pune,2,32,Female,No,2,1
+Bachelors,2015,New Delhi,3,32,Female,No,2,0
+Bachelors,2014,Bangalore,3,33,Male,No,5,1
+Masters,2017,New Delhi,2,34,Male,No,2,1
+Masters,2016,Bangalore,3,35,Female,No,1,1
+Masters,2017,New Delhi,3,35,Male,Yes,2,0
+Bachelors,2014,Pune,2,38,Female,No,3,1
+Bachelors,2016,Bangalore,3,37,Male,No,0,0
+Bachelors,2013,Bangalore,3,38,Female,No,4,0
+Bachelors,2015,Bangalore,3,41,Male,No,0,0
+Masters,2017,Bangalore,3,40,Male,No,4,1
+Bachelors,2017,Bangalore,3,39,Female,No,3,0
+Bachelors,2017,Pune,2,32,Male,No,2,0
+Bachelors,2018,New Delhi,3,40,Male,Yes,4,1
+Bachelors,2016,Bangalore,3,40,Male,No,0,0
+Bachelors,2016,Bangalore,3,41,Female,No,1,1
+Bachelors,2015,Bangalore,3,38,Male,Yes,4,0
+Masters,2017,Pune,1,38,Male,No,0,1
+Bachelors,2018,Bangalore,3,41,Female,No,2,1
+Bachelors,2015,New Delhi,2,33,Female,No,4,1
+Bachelors,2012,Bangalore,3,41,Male,Yes,0,0
+Bachelors,2017,New Delhi,2,35,Female,No,5,0
+Bachelors,2013,Bangalore,3,36,Male,No,5,0
+Bachelors,2013,Pune,3,37,Male,No,1,0
+Bachelors,2013,New Delhi,1,37,Female,No,1,0
+Bachelors,2014,Bangalore,3,39,Male,No,5,0
+Bachelors,2017,Bangalore,3,38,Female,No,2,0
+Bachelors,2013,Pune,2,34,Female,No,1,1
+Bachelors,2017,Pune,2,33,Female,No,4,1
+Bachelors,2013,Bangalore,3,32,Female,No,1,0
+Masters,2014,Bangalore,3,38,Female,No,4,1
+Bachelors,2017,Bangalore,3,32,Male,No,5,0
+Masters,2016,New Delhi,3,41,Male,No,5,1
+Masters,2014,Pune,3,36,Female,No,2,0
+Bachelors,2017,New Delhi,3,34,Female,No,2,1
+Bachelors,2017,Bangalore,3,34,Male,Yes,0,0
+Bachelors,2016,Bangalore,3,35,Male,No,4,0
+Masters,2015,New Delhi,3,38,Male,No,1,0
+Bachelors,2016,Bangalore,3,32,Male,Yes,5,0
+Bachelors,2015,Pune,3,37,Female,No,2,1
+Bachelors,2017,Bangalore,2,32,Female,No,2,1
+Masters,2017,New Delhi,2,36,Male,No,3,0
+Bachelors,2012,Bangalore,3,41,Male,No,3,0
+Bachelors,2017,Pune,3,37,Female,No,5,0
+Bachelors,2018,Bangalore,3,34,Female,No,3,1
+Bachelors,2016,Pune,3,31,Male,No,0,1
+Bachelors,2017,Bangalore,3,41,Male,No,1,0
+Bachelors,2015,New Delhi,3,35,Female,No,3,0
+Bachelors,2015,Bangalore,3,37,Female,No,5,0
+Bachelors,2016,Bangalore,3,34,Male,No,4,0
+Masters,2017,Bangalore,2,40,Female,Yes,2,0
+Bachelors,2015,Bangalore,3,39,Male,No,5,1
+Bachelors,2013,Pune,3,37,Male,No,2,0
+Bachelors,2015,Pune,2,36,Female,Yes,1,1
+Bachelors,2014,Bangalore,3,35,Female,No,2,0
+Masters,2013,Bangalore,3,37,Female,No,3,1
+Bachelors,2013,New Delhi,3,41,Female,No,1,0
+Masters,2017,New Delhi,2,40,Male,No,2,0
+Bachelors,2016,Bangalore,3,37,Male,No,2,0
+Masters,2013,New Delhi,3,40,Female,No,2,1
+Bachelors,2015,Bangalore,3,39,Male,No,5,0
+Masters,2015,Pune,2,33,Female,No,4,0
+Bachelors,2012,Bangalore,3,36,Male,No,1,1
+Bachelors,2012,Bangalore,3,36,Male,No,5,0
+Bachelors,2015,Bangalore,3,38,Male,No,3,0
+Bachelors,2017,New Delhi,2,37,Female,No,5,0
+Masters,2017,New Delhi,3,34,Female,No,2,0
+Bachelors,2013,Bangalore,3,31,Male,No,2,1
+Bachelors,2013,Bangalore,3,38,Male,No,5,0
+Bachelors,2017,Bangalore,3,36,Male,No,3,0
+Bachelors,2012,Bangalore,3,40,Male,No,1,0
+Bachelors,2017,Bangalore,3,41,Male,No,5,1
+Bachelors,2015,Bangalore,3,31,Female,No,4,0
+Bachelors,2017,New Delhi,3,41,Male,No,2,0
+Bachelors,2015,New Delhi,3,31,Female,No,3,0
+Bachelors,2017,Pune,3,31,Female,No,0,1
+Bachelors,2017,New Delhi,2,37,Male,No,0,0
+Bachelors,2012,Pune,3,39,Male,No,0,0
+Bachelors,2014,Bangalore,3,38,Male,No,3,0
+Bachelors,2013,Pune,3,40,Female,No,2,1
+Bachelors,2013,Pune,3,36,Male,No,1,0
+Bachelors,2016,Bangalore,3,41,Male,No,3,0
+Bachelors,2018,Bangalore,3,32,Female,No,2,1
+Masters,2018,Bangalore,3,40,Female,No,3,1
+Bachelors,2012,Bangalore,3,39,Female,No,2,0
+Bachelors,2014,New Delhi,3,33,Male,No,3,0
+Bachelors,2012,Bangalore,3,32,Male,No,4,0
+Bachelors,2018,Bangalore,3,41,Male,No,5,1
+Bachelors,2016,Bangalore,3,36,Male,No,2,0
+Bachelors,2016,Bangalore,3,31,Male,No,0,0
+Bachelors,2014,Bangalore,3,37,Male,No,4,0
+Bachelors,2014,Bangalore,3,33,Male,No,5,1
+Masters,2018,Pune,3,31,Male,No,2,1
+Bachelors,2017,New Delhi,3,35,Female,No,5,0
+Bachelors,2015,Pune,1,32,Female,No,5,1
+Masters,2017,New Delhi,3,41,Female,No,2,0
+Masters,2017,New Delhi,2,36,Female,No,1,0
+Masters,2017,Pune,3,35,Male,No,1,0
+Masters,2017,New Delhi,3,35,Male,No,1,1
+Bachelors,2015,New Delhi,3,33,Male,No,1,0
+Bachelors,2014,Bangalore,3,38,Female,No,4,0
+Bachelors,2015,New Delhi,2,33,Female,No,3,1
+Masters,2018,New Delhi,3,31,Female,Yes,2,1
+PHD,2015,Bangalore,3,31,Male,No,3,0
+Bachelors,2013,Bangalore,3,37,Male,No,5,0
+Bachelors,2014,Bangalore,3,32,Male,No,1,0
+Bachelors,2017,Bangalore,3,33,Male,No,3,0
+Bachelors,2014,Bangalore,3,37,Male,No,5,0
+Bachelors,2012,Bangalore,3,32,Male,No,3,0
+Bachelors,2015,Pune,3,40,Female,Yes,2,1
+Bachelors,2014,Pune,1,40,Female,No,1,1
+Masters,2013,New Delhi,2,32,Male,No,2,1
+Masters,2017,Bangalore,2,39,Female,No,2,1
+PHD,2016,New Delhi,3,41,Male,No,1,0
+PHD,2014,New Delhi,3,32,Female,No,0,0
+Bachelors,2017,Bangalore,3,38,Male,No,0,1
+Masters,2017,New Delhi,2,31,Female,Yes,2,0
+Bachelors,2018,Bangalore,3,38,Male,Yes,3,1
+Bachelors,2016,Bangalore,3,32,Male,No,4,0
+Bachelors,2017,Pune,2,35,Female,No,5,1
+Bachelors,2013,Bangalore,3,34,Male,No,5,0
+Bachelors,2018,Bangalore,3,38,Male,Yes,1,1
+Bachelors,2014,Pune,1,36,Female,No,1,1
+Bachelors,2015,Bangalore,3,34,Female,Yes,2,0
+Masters,2015,New Delhi,3,39,Female,No,2,0
+Masters,2017,New Delhi,1,40,Female,No,0,0
+Bachelors,2016,Bangalore,3,38,Male,Yes,1,0
+Bachelors,2015,Pune,3,35,Male,No,3,0
+Bachelors,2014,Pune,2,31,Male,No,3,1
+Bachelors,2017,Pune,3,41,Male,No,2,0
+Bachelors,2017,Bangalore,3,35,Female,No,3,0
+Bachelors,2018,Bangalore,3,33,Male,No,5,1
+Bachelors,2017,New Delhi,2,33,Male,No,5,0
+Bachelors,2016,New Delhi,3,31,Female,Yes,4,0
+Masters,2013,New Delhi,3,35,Male,No,4,0
+Bachelors,2016,Bangalore,3,37,Female,No,1,0
+Bachelors,2015,Bangalore,3,31,Male,No,5,0
+Bachelors,2012,Bangalore,3,35,Male,No,1,1
+Bachelors,2014,Bangalore,3,32,Male,No,3,0
+Bachelors,2015,Bangalore,3,32,Female,No,0,0
+Bachelors,2017,Bangalore,3,40,Female,No,5,0
+Bachelors,2012,Bangalore,3,34,Male,No,5,0
+Bachelors,2014,Pune,3,37,Male,No,4,0
+PHD,2015,Bangalore,3,40,Male,No,3,0
+Masters,2017,New Delhi,2,34,Female,No,2,1
+Bachelors,2015,Pune,2,32,Female,No,3,1
+Bachelors,2013,Bangalore,3,33,Male,No,1,0
+Bachelors,2015,Bangalore,3,38,Male,No,3,1
+Masters,2017,New Delhi,2,41,Male,No,3,1
+Masters,2017,New Delhi,1,36,Female,No,0,0
+Bachelors,2016,Bangalore,3,33,Male,No,1,0
+Bachelors,2014,Pune,3,31,Male,No,5,0
+Bachelors,2013,Pune,2,34,Female,No,3,1
+Bachelors,2017,Bangalore,3,31,Male,No,1,0
+Bachelors,2016,New Delhi,2,36,Female,No,4,1
+Bachelors,2013,Bangalore,3,38,Male,No,5,0
+Bachelors,2015,Pune,2,39,Female,Yes,1,1
+Bachelors,2014,Pune,3,31,Male,No,3,0
+Bachelors,2015,New Delhi,3,40,Male,No,3,1
+Bachelors,2013,Bangalore,3,39,Male,No,0,0
+Bachelors,2015,Bangalore,3,32,Female,No,4,0
+Bachelors,2014,Bangalore,3,34,Male,No,1,0
+Masters,2015,New Delhi,3,38,Male,No,1,0
+Bachelors,2014,Bangalore,1,39,Male,No,2,0
+Bachelors,2014,Bangalore,3,39,Male,No,5,0
+Bachelors,2016,Bangalore,3,33,Male,No,1,0
+Bachelors,2018,Pune,2,34,Female,No,4,1
+Bachelors,2017,Pune,3,38,Male,Yes,1,0
+Masters,2017,New Delhi,2,33,Male,No,2,0
+Bachelors,2014,Bangalore,3,41,Male,No,5,0
+Masters,2017,Pune,1,39,Male,No,0,0
+Masters,2013,Pune,3,39,Male,No,2,0
+Bachelors,2014,Bangalore,3,41,Male,No,5,0
+Bachelors,2012,Bangalore,3,40,Male,No,4,0
+Bachelors,2014,Bangalore,3,36,Male,No,0,0
+Bachelors,2015,Bangalore,3,34,Male,No,0,0
+Bachelors,2013,Bangalore,3,32,Male,No,5,1
+Bachelors,2015,Bangalore,3,31,Male,No,4,0
+Bachelors,2012,Bangalore,3,36,Male,Yes,0,0
+Masters,2017,Pune,2,35,Male,No,1,1
+Bachelors,2017,Bangalore,3,32,Male,No,2,0
+Bachelors,2017,Pune,3,33,Male,Yes,5,0
+Bachelors,2016,Bangalore,3,34,Male,No,2,0
+Bachelors,2017,Bangalore,3,39,Male,No,3,0
+Bachelors,2018,Bangalore,3,38,Male,No,0,1
+Bachelors,2012,Pune,2,35,Female,No,1,1
+Bachelors,2015,Pune,2,40,Female,Yes,5,1
+Bachelors,2017,Pune,3,41,Male,No,3,0
+Bachelors,2016,Bangalore,1,33,Female,Yes,3,0
+Masters,2017,New Delhi,1,40,Male,No,0,0
+Bachelors,2018,Bangalore,3,33,Female,No,3,1
+Bachelors,2015,Bangalore,3,38,Male,No,1,1
+Masters,2017,Bangalore,2,32,Male,No,2,0
+Bachelors,2014,Pune,3,32,Male,Yes,2,0
+Bachelors,2015,New Delhi,3,32,Female,No,2,0
+Bachelors,2016,Pune,2,37,Female,No,2,1
+Bachelors,2015,Bangalore,3,40,Male,No,5,0
+Bachelors,2016,Bangalore,3,38,Male,No,1,0
+PHD,2018,New Delhi,3,33,Female,No,4,1
+Masters,2017,New Delhi,2,40,Male,No,4,0
+Masters,2017,New Delhi,2,35,Male,No,2,0
+Bachelors,2016,Bangalore,3,33,Male,No,3,0
+Bachelors,2017,Bangalore,3,37,Male,No,4,0
+Bachelors,2013,Bangalore,3,38,Male,No,0,0
+Bachelors,2018,Bangalore,3,32,Male,No,2,1
+Bachelors,2017,Bangalore,3,40,Female,No,2,0
+Bachelors,2015,New Delhi,3,33,Female,No,2,0
+Bachelors,2016,Bangalore,3,38,Male,No,2,1
+Bachelors,2013,Bangalore,3,34,Male,No,5,0
+Bachelors,2017,New Delhi,3,38,Female,No,4,0
+Bachelors,2018,Pune,2,31,Female,No,3,1
+Bachelors,2014,Pune,3,32,Female,No,4,0
+Bachelors,2013,Bangalore,3,35,Male,Yes,1,0
+Bachelors,2014,Bangalore,3,35,Male,No,0,1
+Bachelors,2012,Bangalore,3,33,Female,No,4,0
+Bachelors,2012,New Delhi,3,41,Female,No,0,0
+Bachelors,2015,Pune,1,31,Female,No,3,1
+Bachelors,2016,Bangalore,3,34,Male,No,3,0
+Masters,2017,New Delhi,2,40,Female,No,2,0
+Masters,2016,Bangalore,3,32,Male,No,1,1
+Bachelors,2012,Bangalore,3,36,Male,No,5,0
+Bachelors,2014,Pune,2,40,Female,No,3,1
+Bachelors,2012,Pune,3,31,Male,No,3,0
+Bachelors,2014,Bangalore,1,34,Female,No,5,0
+Masters,2013,New Delhi,3,41,Female,Yes,2,1
+Masters,2017,New Delhi,2,32,Male,No,2,0
+Bachelors,2016,Bangalore,3,41,Male,No,2,0
+Masters,2014,New Delhi,3,33,Male,No,3,0
+Bachelors,2013,Bangalore,3,33,Female,No,0,1
+Bachelors,2013,Pune,3,39,Female,No,2,0
+Masters,2018,Pune,3,40,Male,No,2,1
+Bachelors,2017,New Delhi,3,34,Male,No,3,0
+Bachelors,2016,Pune,3,41,Male,Yes,5,0
+Bachelors,2015,Pune,3,37,Male,No,5,1
+Masters,2017,Bangalore,3,32,Female,No,4,1
+Bachelors,2017,Bangalore,3,41,Male,No,3,0
+Bachelors,2018,Bangalore,3,34,Female,Yes,2,1
+Masters,2017,Bangalore,3,38,Male,No,5,1
+Bachelors,2017,Bangalore,3,40,Female,No,3,0
+Masters,2017,Pune,3,35,Male,No,2,0
+Bachelors,2015,Pune,3,31,Male,No,1,0
+Bachelors,2016,Pune,3,39,Male,No,4,0
+Bachelors,2018,Bangalore,3,39,Male,No,1,1
+Bachelors,2018,Bangalore,3,32,Male,No,3,1
+Bachelors,2015,Bangalore,3,38,Male,No,5,0
+Bachelors,2015,Bangalore,3,35,Male,No,3,0
+Bachelors,2013,Bangalore,1,38,Male,No,4,0
+Bachelors,2012,New Delhi,3,32,Male,No,1,1
+Bachelors,2014,Pune,2,37,Female,No,5,1
+Bachelors,2015,Pune,3,35,Male,No,0,0
+Bachelors,2017,Pune,3,41,Female,No,4,1
+Masters,2015,Bangalore,3,36,Male,No,0,0
+Bachelors,2017,Bangalore,3,35,Male,No,2,0
+Masters,2017,New Delhi,2,36,Male,No,2,1
+Masters,2017,Bangalore,1,34,Male,No,1,0
+Bachelors,2015,Bangalore,3,36,Male,No,3,0
+Bachelors,2017,Pune,2,33,Male,No,3,0
+Masters,2018,New Delhi,3,38,Male,No,2,1
+PHD,2013,New Delhi,3,35,Female,Yes,3,1
+Bachelors,2015,New Delhi,2,37,Female,No,3,1
+Bachelors,2017,Bangalore,3,31,Male,No,0,0
+Bachelors,2017,Pune,2,40,Female,No,2,1
+Bachelors,2015,Pune,3,32,Female,No,3,1
+Bachelors,2015,Bangalore,3,35,Male,Yes,2,0
+Bachelors,2012,Bangalore,3,38,Male,Yes,0,0
+Bachelors,2015,Pune,2,36,Female,No,0,1
+Masters,2015,Pune,3,36,Male,No,3,0
+Masters,2014,New Delhi,3,32,Female,No,5,0
+Bachelors,2018,Pune,2,37,Female,No,0,1
+Bachelors,2018,Pune,3,35,Female,No,0,1
+Bachelors,2015,Pune,1,36,Female,No,4,1
+Bachelors,2015,New Delhi,2,34,Female,No,5,1
+Masters,2017,New Delhi,2,35,Female,No,0,0
+Masters,2017,New Delhi,2,38,Female,No,5,0
+Bachelors,2015,Pune,2,39,Female,No,5,1
+Bachelors,2012,Pune,2,32,Female,No,5,1
+Bachelors,2015,Bangalore,3,39,Male,No,2,0
+Bachelors,2015,Bangalore,3,39,Male,No,2,1
+Masters,2017,Pune,2,37,Male,No,2,0
+Bachelors,2015,Bangalore,3,32,Female,No,5,0
+Bachelors,2017,New Delhi,2,38,Male,No,0,0
+Bachelors,2012,Pune,2,36,Female,No,5,1
+Masters,2016,Bangalore,1,37,Male,No,2,1
+Bachelors,2017,Pune,3,32,Male,No,4,0
+Masters,2017,New Delhi,3,37,Male,No,2,0
+Bachelors,2016,New Delhi,3,33,Male,No,2,0
+Bachelors,2016,Bangalore,3,39,Male,No,4,0
+Bachelors,2012,Bangalore,3,35,Male,No,1,1
+Masters,2015,Pune,3,39,Male,No,5,0
+Bachelors,2015,Bangalore,3,34,Male,No,0,0
+Masters,2017,New Delhi,2,33,Male,No,4,0
+Bachelors,2012,Bangalore,3,33,Male,No,1,0
+Bachelors,2015,New Delhi,3,31,Male,No,0,0
+PHD,2016,Pune,3,31,Female,No,4,0
+Bachelors,2015,Bangalore,3,37,Female,No,4,0
+Bachelors,2012,Bangalore,3,33,Male,No,0,0
+Bachelors,2017,Pune,3,31,Male,No,0,0
+Bachelors,2017,Bangalore,3,41,Female,No,2,0
+Masters,2017,Pune,2,39,Male,No,2,0
+Masters,2013,New Delhi,3,32,Male,No,2,0
+Bachelors,2016,Pune,3,37,Male,No,3,0
+Bachelors,2014,Bangalore,3,37,Male,No,1,0
+Bachelors,2017,Pune,2,34,Female,No,3,1
+Bachelors,2017,New Delhi,2,31,Male,No,2,0
+Bachelors,2014,Pune,2,34,Female,Yes,1,1
+Bachelors,2012,Bangalore,3,38,Female,No,5,0
+Bachelors,2013,Bangalore,3,37,Female,No,1,0
+Bachelors,2015,Pune,1,34,Female,No,3,1
+Bachelors,2015,Bangalore,3,33,Male,No,2,0
+Bachelors,2016,Bangalore,3,37,Male,No,4,0
+Bachelors,2016,Bangalore,3,41,Male,No,4,0
+Bachelors,2012,Bangalore,1,38,Female,No,1,0
+Bachelors,2016,Pune,3,40,Male,No,5,0
+Bachelors,2017,New Delhi,3,33,Female,No,1,1
+Bachelors,2016,New Delhi,3,33,Male,No,1,0
+Masters,2013,New Delhi,3,37,Male,Yes,2,0
+Bachelors,2017,New Delhi,2,36,Female,No,2,0
+Bachelors,2012,Bangalore,3,36,Female,No,5,0
+Bachelors,2015,Bangalore,3,41,Male,No,1,0
+Masters,2014,New Delhi,3,40,Male,No,5,0
+Bachelors,2016,Bangalore,3,36,Female,No,0,0
+Masters,2017,Bangalore,2,41,Male,Yes,2,1
+Bachelors,2015,Pune,3,33,Male,No,5,0
+Masters,2017,New Delhi,2,37,Female,No,2,0
+Bachelors,2017,New Delhi,2,33,Male,No,0,0
+Bachelors,2014,Bangalore,3,40,Female,No,4,0
+Masters,2018,New Delhi,3,36,Male,No,2,1
+Bachelors,2018,Bangalore,3,40,Male,Yes,3,1
+Masters,2018,Bangalore,3,40,Male,No,2,1
+Bachelors,2014,Bangalore,3,34,Male,No,3,0
+Bachelors,2012,Pune,3,39,Male,No,5,0
+Bachelors,2017,Pune,2,33,Male,No,1,1
+Bachelors,2016,Bangalore,3,37,Male,No,2,0
+Bachelors,2012,New Delhi,3,40,Male,No,3,0
+Bachelors,2018,Bangalore,3,38,Male,No,1,1
+Bachelors,2016,Bangalore,3,40,Male,Yes,1,0
+Bachelors,2014,New Delhi,3,38,Female,No,0,0
+Bachelors,2016,Bangalore,3,34,Male,Yes,1,0
+Masters,2016,New Delhi,3,37,Female,No,3,1
+Bachelors,2015,Bangalore,3,40,Male,No,5,0
+Bachelors,2015,New Delhi,3,40,Female,No,1,0
+Masters,2016,Bangalore,3,37,Male,No,2,1
+Bachelors,2016,Pune,2,37,Female,No,3,1
+Bachelors,2013,Pune,3,32,Male,No,1,0
+Masters,2017,New Delhi,1,35,Male,No,5,0
+Bachelors,2016,Bangalore,1,38,Male,No,3,0
+Bachelors,2017,Pune,3,34,Female,No,1,0
+Bachelors,2014,Bangalore,3,32,Male,No,2,1
+Bachelors,2013,Bangalore,3,37,Male,No,5,0
+Bachelors,2017,New Delhi,2,37,Male,No,4,0
+Bachelors,2014,Bangalore,3,35,Male,No,2,0
+Bachelors,2016,Bangalore,3,40,Male,No,0,0
+Bachelors,2012,Bangalore,3,40,Male,Yes,2,0
+Bachelors,2015,Bangalore,3,39,Female,No,3,1
+Masters,2013,New Delhi,3,41,Female,No,2,0
+Bachelors,2015,Bangalore,3,34,Female,No,4,0
+Bachelors,2012,New Delhi,3,34,Female,No,4,0
+Bachelors,2013,Pune,2,36,Male,No,2,1
+Masters,2016,New Delhi,3,39,Female,No,1,0
+Bachelors,2014,New Delhi,3,41,Male,No,5,0
+Bachelors,2015,Bangalore,3,40,Male,No,0,0
+Bachelors,2017,Bangalore,3,34,Female,No,5,0
+Bachelors,2013,Bangalore,3,31,Male,No,2,0
+Bachelors,2012,Pune,3,40,Male,No,3,0
+Bachelors,2013,Pune,3,32,Male,No,5,0
+Bachelors,2018,Pune,3,38,Male,No,3,1
+Bachelors,2016,Bangalore,3,40,Male,No,3,0
+PHD,2013,Bangalore,3,41,Male,No,4,0
+Bachelors,2014,Bangalore,3,36,Female,No,0,0
+Bachelors,2015,Pune,2,33,Female,Yes,3,1
+Bachelors,2016,New Delhi,3,37,Male,No,3,0
+Bachelors,2015,Pune,3,38,Male,No,4,0
+Bachelors,2017,Bangalore,3,32,Male,No,4,0
+Bachelors,2017,Pune,3,33,Male,No,1,0
+Bachelors,2015,Bangalore,3,38,Male,No,5,0
+Bachelors,2015,Pune,3,40,Female,No,5,1
+Bachelors,2014,Bangalore,3,35,Male,Yes,0,0
+Masters,2016,New Delhi,3,37,Female,No,5,0
+Bachelors,2016,Bangalore,3,37,Male,Yes,2,0
+Bachelors,2015,Bangalore,3,36,Male,No,2,0
+Bachelors,2017,Bangalore,3,33,Female,No,4,1
+Bachelors,2014,Pune,2,36,Female,No,3,1
+Bachelors,2016,Pune,3,32,Male,No,3,0
+Bachelors,2017,Bangalore,3,35,Female,No,1,1
+Bachelors,2014,Pune,2,34,Female,No,2,1
+Masters,2017,Pune,2,40,Male,No,5,0
+Bachelors,2016,Bangalore,3,37,Female,No,4,0
+Bachelors,2015,Bangalore,1,36,Male,No,1,0
+Bachelors,2012,Pune,3,41,Female,No,1,0
+Bachelors,2016,Pune,3,36,Male,No,0,0
+Bachelors,2017,Bangalore,3,31,Female,No,2,0
+Bachelors,2017,Pune,3,31,Male,No,3,0
+Bachelors,2014,Pune,3,33,Male,No,2,0
+Bachelors,2017,Bangalore,3,35,Male,Yes,0,0
+PHD,2016,New Delhi,3,34,Male,No,1,0
+Bachelors,2014,Bangalore,3,39,Female,No,4,0
+Masters,2015,Bangalore,3,31,Male,No,1,1
+Bachelors,2015,Pune,3,32,Female,No,0,1
+Bachelors,2017,Bangalore,3,33,Male,No,0,1
+Bachelors,2014,Bangalore,3,34,Male,Yes,1,0
+Masters,2014,Pune,3,39,Male,No,2,0
+Bachelors,2017,New Delhi,2,41,Female,No,2,1
+Bachelors,2017,New Delhi,2,34,Male,No,2,0
+Bachelors,2013,Bangalore,3,36,Female,No,5,0
+Bachelors,2015,Pune,2,39,Female,No,5,1
+Bachelors,2012,Pune,3,37,Male,No,5,0
+Bachelors,2016,Bangalore,3,36,Male,No,4,0
+Bachelors,2014,New Delhi,3,38,Female,No,1,0
+Bachelors,2017,Bangalore,3,38,Female,No,3,0
+Masters,2016,New Delhi,3,37,Female,No,2,1
+Bachelors,2012,Bangalore,3,34,Male,No,2,0
+Bachelors,2015,Bangalore,3,31,Male,No,2,0
+Bachelors,2015,Pune,2,32,Female,No,2,1
+Masters,2018,New Delhi,3,35,Male,No,2,1
+Bachelors,2017,Bangalore,3,31,Male,Yes,2,0
+Bachelors,2015,Bangalore,1,32,Male,Yes,0,1
+Bachelors,2015,Bangalore,3,31,Female,No,5,0
+Bachelors,2018,Bangalore,3,37,Male,No,5,1
+PHD,2018,New Delhi,3,40,Male,No,3,1
+Bachelors,2015,Bangalore,1,41,Male,No,1,0
+Bachelors,2017,Pune,3,34,Male,No,5,0
+Bachelors,2014,Bangalore,3,36,Male,Yes,3,0
+Bachelors,2013,Pune,3,35,Male,No,1,0
+Masters,2017,New Delhi,3,38,Female,No,3,0
+Bachelors,2017,Bangalore,3,33,Male,No,1,0
+Bachelors,2014,Bangalore,3,38,Female,No,2,0
+Bachelors,2018,Bangalore,3,38,Male,No,1,1
+Bachelors,2017,Pune,2,40,Male,No,4,0
+Bachelors,2013,New Delhi,3,39,Male,No,5,0
+Bachelors,2014,New Delhi,3,33,Female,No,4,0
+Bachelors,2015,Pune,3,32,Female,No,3,1
+Bachelors,2013,Bangalore,3,39,Male,No,2,0
+Bachelors,2015,Bangalore,3,38,Female,No,4,0
+Bachelors,2013,Bangalore,3,38,Male,No,2,0
+Bachelors,2017,Bangalore,3,35,Male,No,0,0
+Bachelors,2017,Pune,3,31,Female,No,0,1
+Bachelors,2017,Bangalore,3,41,Male,No,5,0
+Bachelors,2013,New Delhi,3,38,Female,No,4,1
+Bachelors,2016,Bangalore,3,40,Male,Yes,1,0
+Bachelors,2018,Bangalore,3,36,Female,No,2,1
+PHD,2013,New Delhi,3,36,Male,No,3,1
+Bachelors,2014,Pune,3,41,Male,No,4,0
+Bachelors,2014,Bangalore,3,35,Male,Yes,1,0
+Bachelors,2017,Bangalore,3,38,Male,No,5,0
+Bachelors,2017,New Delhi,2,41,Female,No,0,0
+Bachelors,2012,Bangalore,1,34,Male,No,0,0
+Bachelors,2016,Bangalore,3,39,Female,No,3,1
+Bachelors,2014,Bangalore,3,37,Male,No,5,0
+Bachelors,2015,Pune,2,39,Female,Yes,0,1
+Bachelors,2013,Bangalore,3,31,Male,No,2,1
+Masters,2012,New Delhi,3,34,Female,No,3,0
+Bachelors,2015,Bangalore,3,39,Male,No,1,0
+Bachelors,2014,Pune,2,38,Female,No,3,1
+Bachelors,2012,Bangalore,3,34,Male,No,1,0
+Bachelors,2016,Bangalore,3,31,Female,No,2,0
+Bachelors,2016,Bangalore,3,39,Female,No,0,0
+Bachelors,2013,Bangalore,3,31,Female,No,1,0
+Bachelors,2012,Bangalore,3,36,Male,No,1,0
+Bachelors,2017,New Delhi,3,37,Male,No,0,0
+Bachelors,2015,Pune,1,38,Female,No,1,1
+PHD,2017,Pune,3,41,Male,No,2,0
+Bachelors,2018,Bangalore,3,32,Male,No,4,1
+Bachelors,2018,Pune,3,35,Male,No,0,1
+Bachelors,2017,Bangalore,3,35,Male,No,1,0
+Bachelors,2013,Bangalore,3,32,Male,No,1,0
+Bachelors,2015,Bangalore,3,31,Male,No,1,1
+Bachelors,2015,Bangalore,3,41,Male,No,4,0
+Bachelors,2012,Bangalore,3,33,Male,Yes,0,0
+Bachelors,2012,New Delhi,2,38,Female,No,1,1
+Masters,2012,Bangalore,3,39,Female,No,3,1
+Bachelors,2015,Bangalore,1,36,Female,No,2,0
+Masters,2017,Bangalore,2,31,Male,No,5,0
+Masters,2017,New Delhi,2,39,Female,No,2,1
+Masters,2017,New Delhi,3,41,Male,No,3,1
+PHD,2018,New Delhi,3,33,Female,No,0,1
+Bachelors,2015,Bangalore,3,38,Male,No,1,0
+Bachelors,2017,Pune,2,31,Male,No,0,0
+Bachelors,2014,Bangalore,3,34,Male,No,4,0
+Bachelors,2017,Bangalore,3,40,Male,No,2,0
+Bachelors,2012,Bangalore,3,36,Male,No,1,0
+Bachelors,2015,Bangalore,3,36,Female,No,2,0
+Bachelors,2017,New Delhi,2,41,Female,No,4,0
+Bachelors,2017,Bangalore,3,37,Male,No,3,0
+Bachelors,2017,New Delhi,3,33,Male,No,5,0
+Bachelors,2017,New Delhi,3,41,Female,No,4,0
+Bachelors,2017,Bangalore,3,37,Female,No,2,0
+Bachelors,2017,Pune,3,38,Male,Yes,5,0
+Bachelors,2015,Bangalore,3,34,Male,No,2,1
+Bachelors,2017,Pune,3,37,Female,No,0,0
+Bachelors,2014,Bangalore,3,34,Male,No,0,1
+Bachelors,2012,Pune,3,32,Male,No,1,0
+Masters,2012,New Delhi,3,35,Female,No,4,1
+Bachelors,2013,Pune,3,36,Male,No,3,0
+Bachelors,2015,Bangalore,3,34,Female,No,2,0
+Bachelors,2014,Bangalore,3,37,Female,No,3,0
+Bachelors,2016,Bangalore,3,40,Female,Yes,4,0
+Bachelors,2014,Pune,3,33,Male,No,4,0
+Bachelors,2016,Bangalore,3,39,Female,No,4,0
+Bachelors,2012,Bangalore,3,40,Male,No,4,0
+Bachelors,2013,Bangalore,1,34,Male,No,4,1
+Bachelors,2016,Pune,3,40,Male,No,5,0
+PHD,2013,Bangalore,3,32,Male,No,5,0
+Bachelors,2012,Bangalore,3,33,Male,No,1,0
+Bachelors,2017,New Delhi,1,31,Female,No,4,1
+Masters,2016,New Delhi,3,41,Female,No,4,0
+Bachelors,2016,Bangalore,3,34,Male,No,4,0
+Bachelors,2016,Bangalore,3,39,Male,No,7,0
+Bachelors,2014,Bangalore,3,35,Male,No,5,0
+Bachelors,2016,Pune,3,38,Female,No,7,0
+Bachelors,2016,Bangalore,3,33,Male,No,6,0
+Bachelors,2014,Pune,3,33,Male,No,6,0
+Bachelors,2012,Bangalore,3,35,Male,No,5,0
+PHD,2013,New Delhi,3,40,Male,No,5,0
+Bachelors,2012,Bangalore,3,40,Female,No,5,0
+Bachelors,2017,Bangalore,3,39,Male,No,5,0
+Bachelors,2017,Bangalore,3,33,Female,No,6,0
+Bachelors,2014,Bangalore,3,32,Female,No,5,0
+Masters,2014,Bangalore,3,40,Female,No,7,1
+Bachelors,2017,New Delhi,2,33,Male,No,6,0
+Masters,2016,New Delhi,1,31,Female,No,5,1
+Bachelors,2013,Bangalore,3,35,Female,No,5,0
+Bachelors,2014,Bangalore,3,39,Male,No,7,1
+Masters,2018,Bangalore,3,39,Female,No,6,1
+Masters,2017,Pune,2,38,Female,No,2,0
+Bachelors,2012,Bangalore,3,38,Male,No,7,1
+Masters,2017,New Delhi,2,40,Female,Yes,2,0
+Bachelors,2018,Bangalore,3,38,Male,No,6,1
+Bachelors,2013,Bangalore,3,34,Male,No,6,0
+Bachelors,2012,Bangalore,1,35,Male,No,7,0
+Masters,2013,New Delhi,1,41,Male,No,5,0
+PHD,2014,New Delhi,2,37,Female,No,5,0
+Bachelors,2015,Pune,3,34,Male,Yes,7,0
+Bachelors,2014,Bangalore,3,35,Male,Yes,5,0
+Bachelors,2013,Bangalore,1,38,Male,No,6,0
+Bachelors,2016,Bangalore,3,38,Female,No,7,0
+Bachelors,2015,Pune,2,41,Female,No,7,0
+Bachelors,2018,Bangalore,3,34,Male,No,5,1
+Bachelors,2017,Pune,2,22,Male,No,0,0
+Bachelors,2018,Bangalore,2,26,Female,No,4,1
+Bachelors,2012,Bangalore,3,22,Male,No,0,0
+Bachelors,2017,New Delhi,3,25,Female,No,3,0
+Bachelors,2016,Bangalore,3,29,Male,No,0,0
+Bachelors,2017,New Delhi,3,36,Female,No,0,0
+Bachelors,2014,Bangalore,3,37,Female,No,1,0
+Bachelors,2013,New Delhi,2,34,Female,No,4,1
+Bachelors,2012,Pune,3,34,Female,No,2,1
+Bachelors,2012,Bangalore,3,25,Female,No,3,1
+Bachelors,2012,Bangalore,3,31,Male,No,0,0
+Bachelors,2015,New Delhi,3,36,Female,No,2,0
+Bachelors,2016,Bangalore,3,31,Male,Yes,5,0
+Bachelors,2015,Bangalore,3,34,Male,No,4,0
+Masters,2014,New Delhi,3,28,Male,Yes,2,1
+Bachelors,2014,Bangalore,3,28,Male,No,2,0
+Bachelors,2015,Bangalore,3,31,Male,No,1,0
+Bachelors,2017,Bangalore,3,35,Male,No,5,0
+Bachelors,2012,Bangalore,1,28,Female,Yes,1,0
+Bachelors,2018,Bangalore,3,32,Female,No,2,1
+Bachelors,2013,Bangalore,3,23,Male,Yes,1,1
+Masters,2018,Pune,3,27,Male,No,5,1
+Bachelors,2017,Pune,3,25,Male,No,3,0
+Masters,2017,New Delhi,2,31,Female,No,2,0
+PHD,2018,New Delhi,3,34,Male,No,0,1
+Bachelors,2016,Bangalore,3,36,Female,No,2,0
+PHD,2017,New Delhi,3,40,Male,No,3,0
+Masters,2012,New Delhi,3,34,Female,No,2,0
+Bachelors,2018,Bangalore,3,37,Male,No,2,1
+Bachelors,2012,Bangalore,3,38,Male,No,3,0
+Bachelors,2017,New Delhi,2,22,Female,No,0,0
+Bachelors,2016,Pune,2,36,Female,No,0,1
+Bachelors,2013,New Delhi,2,35,Female,No,1,1
+Bachelors,2012,New Delhi,3,22,Female,No,0,0
+Bachelors,2016,Bangalore,3,22,Male,No,0,0
+Bachelors,2012,Bangalore,3,29,Male,No,4,0
+Bachelors,2017,Bangalore,3,34,Male,No,5,0
+Bachelors,2017,Bangalore,2,23,Male,No,1,0
+Bachelors,2014,Pune,2,32,Male,No,3,1
+Bachelors,2012,Pune,2,26,Female,No,4,1
+Masters,2017,Bangalore,3,38,Male,No,2,0
+Bachelors,2014,Pune,3,37,Male,No,4,0
+Bachelors,2017,New Delhi,2,25,Female,No,3,0
+Bachelors,2018,Pune,2,36,Female,No,5,1
+Bachelors,2016,Bangalore,3,26,Female,No,4,0
+Bachelors,2018,Pune,2,39,Female,No,4,1
+Bachelors,2016,Bangalore,3,24,Male,No,2,1
+Masters,2018,Pune,3,39,Male,No,2,1
+Masters,2018,New Delhi,3,39,Female,No,2,1
+Bachelors,2017,New Delhi,2,27,Female,No,5,0
+Bachelors,2013,Bangalore,3,36,Male,No,5,1
+Bachelors,2012,Bangalore,3,24,Male,No,2,0
+Bachelors,2017,Bangalore,3,28,Female,No,3,0
+Bachelors,2016,Bangalore,3,24,Male,No,2,0
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,New Delhi,3,23,Male,No,1,0
+Bachelors,2013,Bangalore,3,30,Female,No,5,0
+Bachelors,2014,Bangalore,3,22,Male,No,0,0
+Bachelors,2014,Pune,3,27,Male,No,5,0
+Masters,2017,New Delhi,3,32,Male,No,2,0
+Masters,2014,Pune,1,33,Female,No,1,0
+Masters,2017,New Delhi,3,26,Male,No,4,1
+Bachelors,2013,Pune,3,25,Female,Yes,3,1
+Masters,2017,New Delhi,2,23,Male,No,1,1
+Bachelors,2012,Pune,3,24,Male,No,2,0
+Bachelors,2014,Bangalore,3,33,Male,No,5,0
+Masters,2018,Bangalore,3,30,Male,Yes,2,1
+Masters,2017,New Delhi,2,27,Female,No,5,0
+Bachelors,2012,Pune,2,31,Female,No,5,1
+Masters,2018,New Delhi,3,23,Female,No,1,1
+Bachelors,2015,Bangalore,3,30,Male,No,2,0
+Bachelors,2015,Pune,2,32,Female,No,2,1
+Bachelors,2013,New Delhi,3,26,Female,Yes,4,0
+Masters,2017,New Delhi,2,35,Male,No,2,0
+Bachelors,2016,Bangalore,1,30,Male,No,4,1
+Bachelors,2012,Bangalore,3,37,Male,No,4,1
+Bachelors,2017,Bangalore,1,34,Male,Yes,0,0
+Bachelors,2012,Bangalore,3,38,Female,No,0,0
+Masters,2013,New Delhi,2,22,Male,Yes,0,1
+Bachelors,2015,Pune,1,22,Female,No,0,1
+Masters,2015,Pune,2,33,Female,No,2,1
+Bachelors,2015,Bangalore,3,32,Male,No,1,0
+Masters,2015,Pune,2,34,Female,No,2,0
+Bachelors,2017,Bangalore,3,36,Female,No,1,0
+Bachelors,2015,Bangalore,3,32,Male,No,1,0
+Bachelors,2017,Bangalore,3,28,Male,Yes,3,0
+Bachelors,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2013,Pune,3,35,Male,No,1,0
+Bachelors,2014,Pune,3,33,Male,No,4,0
+Masters,2013,Pune,3,22,Female,Yes,0,1
+Bachelors,2014,Pune,3,27,Male,No,5,1
+Masters,2018,New Delhi,3,23,Female,No,1,1
+Bachelors,2013,Bangalore,3,34,Female,Yes,2,0
+Masters,2017,Pune,2,23,Male,No,1,1
+Bachelors,2012,Pune,3,36,Male,No,4,0
+PHD,2018,New Delhi,3,28,Male,No,4,1
+PHD,2013,Bangalore,3,28,Male,No,4,0
+Bachelors,2016,Bangalore,3,33,Female,No,4,0
+Bachelors,2013,Bangalore,3,39,Male,No,3,0
+Bachelors,2015,New Delhi,3,25,Female,Yes,3,0
+Bachelors,2014,Pune,3,32,Male,No,2,0
+Bachelors,2015,Pune,3,23,Female,No,1,1
+Masters,2018,New Delhi,3,29,Male,No,2,1
+Bachelors,2013,Pune,2,24,Male,No,2,1
+Bachelors,2012,Bangalore,3,36,Female,No,2,1
+Bachelors,2018,Bangalore,3,40,Male,No,4,1
+Bachelors,2012,New Delhi,3,38,Female,No,1,0
+Bachelors,2014,Bangalore,3,22,Male,No,0,0
+Bachelors,2018,Bangalore,3,24,Male,No,2,1
+Bachelors,2012,Bangalore,3,37,Male,No,5,0
+Bachelors,2018,Pune,3,40,Male,No,3,1
+Bachelors,2018,Bangalore,3,32,Male,Yes,0,1
+Bachelors,2012,New Delhi,3,28,Female,No,1,0
+Bachelors,2016,Pune,3,29,Male,Yes,5,0
+Bachelors,2013,Pune,3,25,Male,No,3,0
+PHD,2013,Bangalore,3,35,Male,No,3,1
+Bachelors,2015,Bangalore,3,28,Male,No,0,1
+Bachelors,2012,Bangalore,3,39,Male,No,3,0
+Bachelors,2012,Pune,1,35,Male,No,1,0
+Bachelors,2017,Bangalore,3,37,Male,No,2,0
+Masters,2018,Pune,3,40,Female,No,2,1
+Bachelors,2018,Bangalore,3,23,Male,No,1,1
+Bachelors,2013,Pune,3,32,Male,No,2,0
+PHD,2018,New Delhi,3,37,Male,No,3,1
+Bachelors,2015,Bangalore,3,23,Female,No,1,0
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,36,Female,No,3,1
+Bachelors,2013,Bangalore,3,40,Female,No,3,0
+Bachelors,2015,New Delhi,3,22,Male,No,0,0
+Bachelors,2015,Bangalore,3,30,Male,No,0,0
+Bachelors,2014,Bangalore,3,30,Male,No,1,0
+Bachelors,2015,Pune,1,34,Female,No,3,1
+Bachelors,2018,Bangalore,3,27,Male,No,5,1
+Bachelors,2013,Bangalore,1,27,Female,No,5,0
+Bachelors,2017,Pune,2,27,Female,No,5,1
+Bachelors,2015,Bangalore,3,35,Female,No,1,1
+Bachelors,2014,New Delhi,3,33,Female,Yes,4,0
+Bachelors,2012,Bangalore,3,37,Male,No,4,0
+Bachelors,2014,New Delhi,3,40,Female,No,3,0
+Bachelors,2015,Pune,2,25,Female,No,3,1
+Bachelors,2017,Pune,2,34,Male,No,2,0
+Bachelors,2017,New Delhi,3,40,Male,No,1,0
+Masters,2018,New Delhi,3,34,Male,No,2,1
+Bachelors,2013,Pune,3,33,Male,No,5,0
+Bachelors,2016,Bangalore,3,22,Female,No,0,0
+Bachelors,2015,Pune,2,36,Female,No,1,1
+Bachelors,2012,Bangalore,3,38,Male,No,2,1
+Bachelors,2013,Pune,3,25,Female,No,3,0
+Bachelors,2017,Bangalore,3,37,Male,No,3,1
+Bachelors,2016,Bangalore,3,25,Female,No,3,0
+Bachelors,2015,Pune,2,40,Female,Yes,0,1
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Masters,2015,Pune,1,23,Female,No,1,0
+Bachelors,2014,Bangalore,3,22,Male,No,0,1
+Masters,2017,New Delhi,2,34,Male,Yes,2,0
+Masters,2017,New Delhi,3,35,Female,No,2,0
+Bachelors,2014,Pune,3,23,Male,No,1,0
+Bachelors,2015,Bangalore,3,29,Male,No,2,1
+Bachelors,2015,Pune,3,32,Female,No,1,0
+Bachelors,2015,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,28,Male,No,3,0
+Masters,2015,Pune,2,24,Female,No,2,0
+Bachelors,2017,Bangalore,3,33,Male,No,4,0
+PHD,2016,New Delhi,3,22,Male,No,0,0
+Masters,2015,Pune,2,39,Female,No,2,0
+Masters,2018,New Delhi,3,30,Female,Yes,2,1
+Bachelors,2014,Bangalore,3,38,Female,No,5,1
+Bachelors,2012,New Delhi,3,36,Female,No,4,0
+Bachelors,2012,Pune,2,38,Male,No,5,0
+Bachelors,2013,Bangalore,3,24,Male,Yes,2,0
+Bachelors,2016,Bangalore,3,28,Male,No,1,0
+Bachelors,2015,Bangalore,3,35,Female,No,0,1
+Bachelors,2013,New Delhi,3,23,Female,No,1,0
+Masters,2017,New Delhi,2,23,Female,No,1,1
+Bachelors,2013,Bangalore,3,37,Male,No,5,0
+Masters,2016,New Delhi,3,24,Male,No,2,1
+Bachelors,2014,Pune,3,33,Male,Yes,4,0
+Bachelors,2015,Bangalore,3,38,Female,No,5,0
+Bachelors,2015,Pune,3,40,Male,Yes,0,0
+Bachelors,2014,Bangalore,3,34,Male,No,4,0
+Masters,2017,New Delhi,2,26,Male,No,4,0
+Bachelors,2016,Pune,3,25,Male,No,3,0
+Bachelors,2016,Pune,3,24,Female,No,2,0
+Bachelors,2018,Bangalore,3,35,Male,Yes,5,1
+PHD,2013,New Delhi,3,27,Male,No,5,0
+Masters,2013,New Delhi,3,30,Female,No,3,0
+Bachelors,2015,Bangalore,3,26,Female,No,4,1
+Bachelors,2017,Bangalore,3,40,Male,No,0,0
+Masters,2017,Pune,2,27,Female,No,5,1
+Bachelors,2016,Pune,3,38,Male,Yes,0,0
+Bachelors,2014,New Delhi,3,34,Female,No,5,0
+Masters,2017,Pune,2,24,Male,No,2,0
+Bachelors,2016,Bangalore,3,38,Male,No,4,0
+Bachelors,2014,Pune,1,37,Male,No,1,0
+Bachelors,2015,Bangalore,3,22,Male,No,0,0
+Bachelors,2014,New Delhi,3,29,Female,No,2,1
+Bachelors,2014,Pune,1,37,Female,No,4,1
+Bachelors,2016,Pune,3,23,Male,No,1,0
+Bachelors,2012,New Delhi,3,34,Female,No,2,0
+Bachelors,2017,Bangalore,3,28,Male,No,2,0
+Bachelors,2012,Pune,3,24,Male,Yes,2,0
+Masters,2017,Bangalore,2,35,Female,No,0,0
+Bachelors,2015,Bangalore,3,30,Male,No,2,0
+Bachelors,2018,Bangalore,3,33,Male,No,4,1
+Bachelors,2015,Bangalore,3,27,Female,No,5,0
+Bachelors,2016,Bangalore,3,32,Male,No,4,0
+Bachelors,2014,Pune,3,36,Female,No,5,0
+Bachelors,2012,Bangalore,3,26,Male,Yes,4,0
+Bachelors,2012,Bangalore,1,35,Male,No,4,0
+PHD,2012,New Delhi,3,25,Male,No,3,0
+Masters,2013,Bangalore,2,29,Male,No,1,1
+Bachelors,2012,Bangalore,3,36,Female,No,3,0
+Bachelors,2013,Bangalore,3,30,Male,No,1,0
+Bachelors,2017,Pune,2,37,Female,No,4,1
+Bachelors,2016,Bangalore,3,40,Male,No,0,1
+Bachelors,2012,Bangalore,3,24,Male,No,2,0
+Bachelors,2012,Bangalore,3,32,Male,No,4,0
+Bachelors,2018,Pune,3,34,Male,No,0,1
+Bachelors,2014,Pune,3,29,Male,No,3,0
+Bachelors,2012,Bangalore,3,23,Female,No,1,1
+Bachelors,2017,Pune,3,23,Male,No,1,0
+Bachelors,2013,Bangalore,3,25,Female,No,3,0
+Bachelors,2012,New Delhi,1,31,Female,No,3,0
+Masters,2017,New Delhi,2,23,Male,No,1,1
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+PHD,2015,New Delhi,2,39,Female,No,5,0
+Bachelors,2016,Bangalore,3,33,Female,No,1,1
+Bachelors,2013,Bangalore,3,23,Male,No,1,0
+Masters,2017,New Delhi,2,34,Female,No,4,0
+Bachelors,2015,Pune,2,37,Female,No,1,1
+Bachelors,2012,Bangalore,3,23,Male,No,1,0
+Bachelors,2017,New Delhi,3,27,Male,No,5,0
+Masters,2017,Pune,2,38,Female,No,2,0
+Bachelors,2014,Bangalore,3,27,Female,No,5,0
+Bachelors,2016,Bangalore,3,22,Male,No,0,0
+Masters,2015,Pune,2,26,Female,No,4,1
+Bachelors,2012,Bangalore,3,40,Male,No,3,0
+Bachelors,2016,Bangalore,3,33,Female,No,3,0
+Bachelors,2014,Bangalore,3,31,Male,No,0,0
+Bachelors,2017,Pune,3,33,Male,No,4,0
+Bachelors,2015,New Delhi,3,30,Male,No,5,0
+Bachelors,2015,New Delhi,3,33,Female,No,5,1
+Masters,2017,New Delhi,3,33,Female,No,0,1
+Bachelors,2016,Pune,3,22,Male,No,0,0
+Bachelors,2012,Pune,3,28,Male,No,2,0
+Bachelors,2013,Bangalore,3,36,Male,No,4,0
+Bachelors,2017,New Delhi,2,36,Female,No,1,0
+Bachelors,2014,Pune,3,31,Female,No,2,0
+Bachelors,2013,Bangalore,2,25,Male,No,3,1
+Bachelors,2012,Pune,1,31,Male,No,4,0
+Masters,2015,Pune,2,39,Female,No,0,0
+Masters,2015,Bangalore,3,26,Male,No,4,1
+Bachelors,2017,Bangalore,2,25,Female,No,3,1
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2013,New Delhi,3,35,Female,No,0,0
+Bachelors,2013,Pune,2,28,Male,No,5,0
+Bachelors,2012,Bangalore,3,32,Female,No,0,0
+Masters,2017,New Delhi,2,22,Male,No,0,1
+Bachelors,2014,Pune,3,36,Female,No,5,1
+Bachelors,2015,Bangalore,3,38,Male,No,1,0
+Bachelors,2014,Bangalore,3,39,Female,No,1,0
+Masters,2017,New Delhi,2,25,Female,No,3,1
+Bachelors,2016,Pune,3,27,Male,No,5,0
+Masters,2014,Pune,3,38,Male,Yes,2,0
+Bachelors,2012,New Delhi,3,22,Female,No,0,0
+Bachelors,2013,Bangalore,3,33,Male,No,2,0
+Bachelors,2013,Pune,3,24,Male,No,2,0
+Bachelors,2014,Bangalore,3,37,Male,No,5,0
+Bachelors,2018,Pune,3,28,Male,Yes,0,1
+Masters,2017,Pune,3,32,Male,Yes,2,0
+PHD,2016,New Delhi,3,33,Male,No,0,1
+Bachelors,2014,New Delhi,3,32,Male,No,5,0
+Bachelors,2017,Bangalore,3,24,Male,No,2,1
+Bachelors,2016,Bangalore,3,27,Male,Yes,5,0
+Bachelors,2012,Pune,2,35,Female,No,2,1
+PHD,2013,Bangalore,3,40,Male,No,1,0
+Bachelors,2017,New Delhi,2,34,Female,No,4,0
+Bachelors,2016,New Delhi,3,39,Female,No,0,0
+Bachelors,2014,Pune,3,26,Male,No,4,0
+Masters,2015,Pune,2,29,Female,No,2,0
+Bachelors,2013,Bangalore,3,29,Male,No,4,0
+Bachelors,2015,Pune,2,23,Female,Yes,1,1
+Bachelors,2015,Pune,3,32,Male,No,0,0
+Bachelors,2014,Pune,3,28,Male,Yes,4,0
+Masters,2013,New Delhi,2,32,Male,Yes,2,1
+Bachelors,2012,New Delhi,3,32,Female,No,0,0
+Bachelors,2013,Bangalore,3,38,Male,No,0,0
+PHD,2017,Pune,3,30,Male,No,5,0
+PHD,2015,New Delhi,3,31,Male,No,3,0
+Bachelors,2012,Bangalore,3,25,Male,No,3,1
+Bachelors,2013,Bangalore,3,37,Female,No,4,0
+Masters,2017,New Delhi,2,27,Male,No,5,1
+Bachelors,2013,New Delhi,3,25,Female,No,3,0
+Bachelors,2015,Pune,2,22,Female,No,0,1
+Bachelors,2018,Bangalore,3,38,Male,No,2,1
+Bachelors,2015,New Delhi,3,22,Male,No,0,0
+Bachelors,2017,Pune,3,38,Male,No,2,0
+PHD,2015,New Delhi,1,38,Male,No,5,0
+Bachelors,2016,New Delhi,2,26,Female,No,4,1
+Masters,2017,New Delhi,2,31,Male,No,4,0
+Masters,2014,New Delhi,3,28,Male,No,5,0
+PHD,2017,New Delhi,3,34,Female,No,3,0
+Masters,2013,Bangalore,3,31,Male,No,2,0
+Bachelors,2014,New Delhi,3,26,Female,No,4,0
+Bachelors,2013,Pune,3,40,Female,No,1,1
+Bachelors,2016,Bangalore,3,31,Male,No,0,0
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Bachelors,2018,Pune,3,32,Female,No,1,1
+Bachelors,2012,Bangalore,3,33,Female,No,5,0
+Bachelors,2017,Bangalore,3,25,Male,No,3,0
+Bachelors,2017,Bangalore,3,40,Male,No,0,0
+Masters,2013,New Delhi,3,31,Male,No,2,1
+Bachelors,2015,Bangalore,3,36,Male,No,1,0
+Bachelors,2014,Bangalore,3,31,Male,No,5,0
+Bachelors,2015,Pune,3,22,Male,No,0,0
+Bachelors,2016,Bangalore,3,34,Female,No,0,0
+PHD,2018,New Delhi,3,38,Female,No,5,1
+Bachelors,2015,Bangalore,3,23,Male,Yes,1,0
+PHD,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2016,Bangalore,3,34,Male,No,1,0
+Bachelors,2012,Bangalore,3,39,Male,No,3,0
+Bachelors,2018,Bangalore,3,24,Male,Yes,2,1
+Bachelors,2015,Pune,3,37,Female,No,1,1
+PHD,2013,New Delhi,3,23,Male,No,1,0
+Bachelors,2018,Bangalore,3,36,Male,No,3,1
+Bachelors,2014,New Delhi,3,23,Male,No,1,0
+Bachelors,2012,Pune,3,31,Male,No,3,0
+Bachelors,2015,Bangalore,3,22,Male,No,0,0
+Bachelors,2015,Pune,2,24,Female,No,2,1
+Bachelors,2018,Pune,2,28,Female,No,4,1
+Bachelors,2014,Pune,3,33,Male,No,3,0
+Bachelors,2018,Bangalore,3,35,Female,No,2,1
+Bachelors,2012,New Delhi,3,30,Female,Yes,1,0
+Bachelors,2014,Bangalore,3,28,Female,No,3,0
+Bachelors,2015,Bangalore,3,22,Male,Yes,0,0
+Bachelors,2014,Bangalore,3,38,Male,No,3,0
+Bachelors,2014,Pune,3,39,Male,No,4,0
+PHD,2012,Bangalore,1,38,Male,No,5,0
+Bachelors,2014,Bangalore,3,22,Female,No,0,1
+Bachelors,2014,New Delhi,3,36,Female,No,5,0
+Bachelors,2015,Bangalore,3,27,Male,No,5,0
+Bachelors,2016,Pune,1,32,Male,No,2,0
+Bachelors,2017,New Delhi,2,39,Female,No,2,0
+Bachelors,2015,Pune,2,36,Male,No,5,0
+Bachelors,2018,Bangalore,3,34,Male,Yes,5,1
+Bachelors,2015,Bangalore,3,28,Male,No,1,0
+Bachelors,2018,Bangalore,3,36,Female,Yes,1,1
+PHD,2015,New Delhi,3,22,Female,No,0,0
+Bachelors,2014,New Delhi,1,28,Female,No,5,0
+Bachelors,2016,Pune,2,27,Female,No,5,1
+Bachelors,2014,Bangalore,1,39,Female,No,4,0
+Bachelors,2012,Bangalore,3,31,Male,No,0,0
+Bachelors,2013,Bangalore,3,26,Male,Yes,4,0
+Bachelors,2012,Bangalore,3,31,Male,No,3,0
+Bachelors,2015,Pune,2,33,Female,No,2,1
+Bachelors,2017,Pune,2,38,Female,No,1,1
+Bachelors,2014,Pune,3,38,Male,No,2,0
+Bachelors,2012,Pune,3,32,Male,No,3,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Masters,2017,Pune,2,33,Female,No,2,0
+Bachelors,2015,Bangalore,3,34,Female,No,2,0
+Bachelors,2018,Pune,3,36,Male,Yes,1,1
+Bachelors,2014,Bangalore,3,27,Male,No,5,0
+Masters,2017,Pune,2,27,Male,No,5,0
+Bachelors,2017,New Delhi,2,40,Female,No,5,0
+Masters,2012,Bangalore,3,31,Female,No,4,0
+Bachelors,2014,Bangalore,3,22,Male,No,0,0
+Masters,2017,New Delhi,2,22,Male,No,0,1
+Bachelors,2016,New Delhi,3,26,Female,No,4,0
+Bachelors,2017,New Delhi,3,28,Female,No,1,1
+Bachelors,2014,Bangalore,3,38,Male,Yes,5,0
+Masters,2015,Pune,3,31,Male,No,0,0
+Bachelors,2016,Bangalore,3,24,Male,No,2,0
+Bachelors,2015,Pune,2,25,Male,No,3,1
+PHD,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,40,Male,No,1,0
+Bachelors,2018,Pune,2,34,Female,No,4,1
+Bachelors,2016,Bangalore,3,32,Male,No,0,0
+Bachelors,2014,Pune,3,37,Male,No,1,0
+Bachelors,2015,Bangalore,3,33,Male,No,3,1
+Bachelors,2016,Pune,3,27,Male,No,5,0
+Bachelors,2012,New Delhi,3,36,Male,No,3,0
+Bachelors,2013,Bangalore,3,30,Female,No,4,0
+Masters,2017,Pune,2,26,Female,No,4,0
+Bachelors,2012,Bangalore,3,23,Male,Yes,1,0
+Masters,2015,Pune,2,31,Female,No,2,0
+Bachelors,2013,Bangalore,3,22,Male,Yes,0,0
+Masters,2017,New Delhi,2,24,Female,No,2,1
+Bachelors,2016,Bangalore,3,37,Female,Yes,4,0
+Masters,2018,New Delhi,3,35,Male,No,2,1
+Bachelors,2013,Bangalore,3,22,Male,No,0,1
+Bachelors,2012,Pune,3,35,Male,No,5,0
+Bachelors,2014,New Delhi,3,30,Female,No,3,0
+Bachelors,2014,Bangalore,3,30,Male,No,0,0
+Bachelors,2014,Pune,3,29,Male,No,3,0
+Masters,2017,Bangalore,3,36,Male,No,4,1
+Bachelors,2014,Bangalore,3,37,Male,No,4,0
+Bachelors,2016,Pune,3,40,Male,No,2,0
+Bachelors,2015,Pune,2,26,Female,No,4,1
+Masters,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2017,Bangalore,3,38,Male,No,3,0
+Bachelors,2014,Bangalore,3,31,Male,No,3,1
+Bachelors,2014,Bangalore,3,22,Female,No,0,0
+Bachelors,2012,Pune,3,34,Male,No,0,0
+Bachelors,2015,New Delhi,3,31,Female,No,0,0
+Bachelors,2012,Bangalore,3,39,Female,No,3,0
+Masters,2018,New Delhi,3,33,Female,No,2,1
+Bachelors,2015,Bangalore,3,33,Male,No,4,0
+Bachelors,2012,Bangalore,3,38,Male,No,4,0
+Bachelors,2017,Pune,2,22,Female,No,0,1
+Bachelors,2014,Pune,2,32,Female,No,0,1
+Bachelors,2014,Pune,3,34,Male,No,5,0
+Bachelors,2014,Bangalore,1,31,Female,No,5,0
+Bachelors,2016,Bangalore,3,23,Male,No,1,0
+Bachelors,2013,Pune,2,39,Female,No,1,1
+Bachelors,2017,New Delhi,3,26,Male,No,4,0
+Bachelors,2013,Pune,2,33,Female,Yes,4,1
+Bachelors,2013,Bangalore,3,27,Female,No,5,0
+PHD,2018,New Delhi,3,24,Male,No,2,1
+Bachelors,2017,Bangalore,3,38,Male,No,1,0
+Bachelors,2017,Bangalore,3,27,Male,No,5,0
+Bachelors,2014,Bangalore,3,27,Female,No,5,0
+Bachelors,2015,Bangalore,3,23,Male,No,1,0
+Bachelors,2014,New Delhi,3,26,Female,No,4,0
+Bachelors,2016,Bangalore,3,31,Male,No,5,0
+Bachelors,2017,Bangalore,3,32,Female,No,3,0
+Bachelors,2015,Pune,2,36,Female,No,3,1
+Bachelors,2017,Bangalore,3,28,Male,No,0,0
+Bachelors,2017,New Delhi,2,31,Male,No,3,0
+Masters,2017,New Delhi,2,36,Female,No,3,0
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,1
+Bachelors,2017,Bangalore,3,28,Male,No,3,1
+Bachelors,2015,Pune,3,39,Female,No,2,1
+Bachelors,2013,Bangalore,3,23,Female,No,1,0
+Bachelors,2014,Bangalore,3,32,Male,No,1,0
+Masters,2013,New Delhi,3,33,Female,No,2,0
+Bachelors,2017,New Delhi,3,39,Female,No,4,0
+Masters,2017,Bangalore,2,24,Female,No,2,0
+Bachelors,2016,Pune,3,33,Male,No,2,0
+Bachelors,2016,Pune,2,29,Female,No,4,1
+Masters,2017,Pune,3,24,Female,No,2,1
+Masters,2015,Pune,3,27,Female,No,5,1
+Masters,2013,New Delhi,2,35,Female,No,2,1
+Bachelors,2015,Pune,2,28,Female,No,2,1
+Bachelors,2016,Bangalore,3,22,Male,No,0,0
+Bachelors,2013,Bangalore,3,39,Male,No,5,1
+Bachelors,2014,Bangalore,3,36,Female,No,3,1
+Bachelors,2017,New Delhi,2,40,Female,No,3,0
+Bachelors,2012,New Delhi,3,35,Female,No,5,0
+Bachelors,2016,Bangalore,3,33,Male,No,4,0
+PHD,2018,Bangalore,3,33,Male,No,2,1
+Bachelors,2012,Bangalore,3,23,Male,No,1,0
+Bachelors,2014,Bangalore,3,28,Male,No,2,1
+Bachelors,2016,Bangalore,3,27,Male,No,5,0
+Bachelors,2017,Bangalore,3,26,Female,No,4,0
+Bachelors,2014,Bangalore,3,33,Male,No,3,0
+Bachelors,2016,Bangalore,3,35,Male,No,3,0
+Bachelors,2013,Bangalore,3,33,Male,No,3,1
+Bachelors,2013,Pune,3,36,Female,No,0,1
+Bachelors,2015,New Delhi,3,26,Male,No,4,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Bachelors,2014,Bangalore,3,39,Female,No,5,0
+Bachelors,2013,Bangalore,3,28,Male,No,5,0
+Bachelors,2018,Bangalore,3,24,Male,No,2,1
+Bachelors,2012,Bangalore,3,36,Female,No,4,0
+Bachelors,2016,Bangalore,3,33,Male,No,0,0
+Bachelors,2013,Pune,1,33,Female,No,0,1
+Masters,2017,Pune,2,30,Male,Yes,2,1
+Masters,2012,New Delhi,3,27,Male,No,5,1
+Bachelors,2015,Bangalore,3,33,Male,Yes,4,0
+Bachelors,2016,Pune,2,35,Female,No,4,1
+Bachelors,2014,Pune,2,40,Female,No,0,1
+Bachelors,2017,Pune,2,25,Male,No,3,0
+Bachelors,2014,Bangalore,3,38,Male,No,2,0
+Bachelors,2017,New Delhi,2,40,Male,No,5,0
+Bachelors,2014,Bangalore,3,29,Male,Yes,0,0
+Bachelors,2012,Bangalore,3,27,Male,No,5,0
+Bachelors,2015,Bangalore,3,40,Male,No,4,0
+Masters,2017,New Delhi,2,25,Female,No,3,1
+Bachelors,2016,Pune,2,39,Female,No,3,1
+Bachelors,2017,New Delhi,2,22,Male,No,0,1
+PHD,2015,Pune,2,35,Female,No,0,0
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Bachelors,2014,New Delhi,2,25,Female,No,3,1
+Bachelors,2015,Bangalore,3,29,Female,No,1,0
+Masters,2017,New Delhi,1,37,Male,No,0,0
+Bachelors,2014,Bangalore,3,35,Male,No,1,0
+Bachelors,2012,Bangalore,3,26,Male,No,4,0
+Masters,2018,New Delhi,3,26,Male,No,4,1
+Bachelors,2013,Bangalore,3,24,Male,No,2,0
+Bachelors,2014,Bangalore,3,31,Male,No,0,0
+Bachelors,2014,Bangalore,3,34,Male,No,5,0
+Masters,2018,New Delhi,3,27,Female,Yes,5,1
+Bachelors,2016,Pune,3,35,Male,No,1,0
+Bachelors,2017,Pune,3,27,Male,No,5,0
+Masters,2017,New Delhi,3,34,Male,No,1,1
+Bachelors,2018,Bangalore,3,40,Female,No,4,1
+Bachelors,2012,Pune,3,39,Male,No,4,0
+Bachelors,2013,Pune,1,39,Female,Yes,0,1
+Bachelors,2015,Bangalore,3,22,Male,No,0,1
+Masters,2017,Pune,2,33,Male,Yes,2,0
+Bachelors,2014,Bangalore,3,39,Male,No,0,0
+Bachelors,2017,Bangalore,3,39,Male,No,3,0
+Bachelors,2017,Bangalore,3,40,Female,No,3,0
+Bachelors,2014,Bangalore,3,38,Female,No,1,0
+Bachelors,2018,New Delhi,3,36,Female,Yes,2,1
+Bachelors,2013,Pune,2,37,Male,Yes,5,0
+Bachelors,2017,Pune,2,33,Female,No,2,1
+Bachelors,2013,Bangalore,3,37,Female,No,2,1
+Bachelors,2013,Pune,3,34,Male,No,5,0
+Bachelors,2015,Bangalore,3,28,Male,No,2,0
+Bachelors,2018,Bangalore,3,31,Male,Yes,0,1
+Masters,2012,New Delhi,3,37,Male,No,4,0
+Bachelors,2018,Pune,3,26,Male,No,4,1
+Masters,2014,New Delhi,3,34,Female,No,1,1
+Bachelors,2015,Pune,3,39,Male,No,1,0
+Bachelors,2017,Pune,2,23,Female,No,1,1
+Bachelors,2013,Bangalore,3,35,Female,No,4,0
+Bachelors,2015,Pune,3,25,Male,No,3,0
+Bachelors,2013,Pune,2,38,Male,No,0,1
+Masters,2017,New Delhi,1,23,Male,No,1,0
+Masters,2017,New Delhi,3,26,Male,No,4,1
+Masters,2018,New Delhi,3,33,Female,No,2,1
+Bachelors,2015,Pune,2,37,Female,No,4,1
+Bachelors,2013,Bangalore,3,35,Male,No,5,0
+Bachelors,2013,Bangalore,3,23,Female,Yes,1,0
+Bachelors,2013,Pune,3,31,Male,No,2,0
+Bachelors,2017,Bangalore,3,24,Male,Yes,2,0
+Bachelors,2015,Bangalore,3,28,Male,No,3,0
+Bachelors,2013,Pune,2,37,Female,No,0,1
+Bachelors,2012,Bangalore,3,36,Female,No,1,0
+Bachelors,2015,Bangalore,3,28,Male,No,1,1
+Bachelors,2017,New Delhi,2,30,Male,No,5,0
+Bachelors,2014,Bangalore,3,26,Male,No,4,0
+Masters,2015,Pune,2,29,Female,No,1,0
+Masters,2018,New Delhi,3,39,Female,No,2,1
+Bachelors,2013,Pune,2,36,Male,No,4,0
+Bachelors,2015,Pune,3,36,Male,No,3,0
+Bachelors,2012,Bangalore,3,22,Male,No,0,1
+Masters,2017,New Delhi,3,31,Male,No,2,0
+PHD,2017,New Delhi,3,29,Male,No,3,0
+Bachelors,2014,Pune,3,37,Female,No,4,1
+Bachelors,2012,Bangalore,3,24,Male,No,2,0
+Bachelors,2015,Pune,2,28,Female,Yes,2,1
+PHD,2016,New Delhi,3,22,Male,No,0,0
+Bachelors,2015,Bangalore,3,31,Male,No,2,1
+Bachelors,2013,Pune,2,28,Female,No,3,1
+Bachelors,2014,Bangalore,3,22,Female,No,0,0
+Bachelors,2016,Bangalore,3,23,Male,No,1,0
+Bachelors,2016,New Delhi,1,25,Female,Yes,3,0
+Bachelors,2013,Pune,1,23,Female,No,1,1
+Bachelors,2017,New Delhi,2,26,Female,No,4,0
+Bachelors,2015,Pune,2,22,Female,No,0,1
+Bachelors,2015,Bangalore,3,38,Female,No,2,0
+Bachelors,2017,Bangalore,3,25,Female,No,3,0
+Bachelors,2017,New Delhi,3,37,Female,No,1,1
+PHD,2012,New Delhi,3,30,Male,No,4,0
+Bachelors,2012,Bangalore,3,35,Female,No,2,0
+PHD,2014,Bangalore,3,23,Male,No,1,0
+Masters,2017,New Delhi,2,25,Female,No,3,0
+Bachelors,2015,Bangalore,3,39,Female,No,0,0
+PHD,2013,Pune,1,32,Female,No,0,1
+Bachelors,2015,Pune,3,28,Female,No,1,1
+Bachelors,2015,New Delhi,3,23,Female,No,1,0
+PHD,2014,Bangalore,1,34,Female,No,3,0
+Bachelors,2014,Bangalore,1,36,Female,No,1,0
+Bachelors,2017,Bangalore,3,40,Male,No,5,0
+Bachelors,2016,Bangalore,3,40,Male,No,3,0
+Bachelors,2015,Bangalore,3,25,Female,No,3,1
+Bachelors,2013,Bangalore,3,22,Male,No,0,1
+Bachelors,2015,Bangalore,3,34,Male,No,4,0
+Bachelors,2017,Bangalore,3,23,Male,No,1,0
+Bachelors,2017,Bangalore,3,24,Female,No,2,0
+Bachelors,2015,Bangalore,1,35,Male,No,3,0
+Bachelors,2014,Bangalore,3,24,Male,No,2,0
+Bachelors,2017,Pune,3,28,Male,No,3,0
+Masters,2017,New Delhi,2,39,Female,No,4,0
+PHD,2017,New Delhi,3,31,Female,No,5,0
+Bachelors,2014,Bangalore,3,32,Male,No,2,0
+Bachelors,2017,New Delhi,2,37,Female,No,3,0
+Bachelors,2014,Pune,1,22,Female,No,0,1
+Bachelors,2015,Bangalore,3,32,Female,No,4,0
+Bachelors,2016,Bangalore,3,37,Male,No,2,0
+Bachelors,2014,Bangalore,3,36,Male,No,3,0
+Bachelors,2013,Pune,3,24,Male,Yes,2,0
+Masters,2017,New Delhi,3,40,Male,No,2,0
+Bachelors,2014,Bangalore,3,39,Male,No,3,0
+Bachelors,2013,Bangalore,3,24,Male,No,2,0
+Bachelors,2016,Bangalore,3,25,Male,No,3,0
+Bachelors,2018,Bangalore,3,26,Male,No,4,1
+Bachelors,2017,New Delhi,2,33,Male,No,3,0
+Bachelors,2016,Pune,3,36,Male,Yes,3,0
+Bachelors,2015,Pune,1,39,Male,No,1,1
+Bachelors,2014,Bangalore,3,34,Male,No,4,0
+Bachelors,2014,New Delhi,2,23,Female,No,1,1
+Bachelors,2014,Pune,1,33,Female,No,2,1
+Bachelors,2013,Bangalore,3,31,Male,No,3,0
+Bachelors,2015,Bangalore,3,39,Female,No,0,0
+Bachelors,2017,Bangalore,3,36,Male,No,4,1
+Bachelors,2015,Bangalore,3,28,Male,No,1,0
+Bachelors,2013,New Delhi,3,28,Female,No,0,1
+Masters,2017,New Delhi,2,24,Male,No,2,1
+Bachelors,2013,Bangalore,3,36,Female,No,0,1
+Bachelors,2014,Bangalore,3,30,Male,No,1,1
+Bachelors,2018,New Delhi,3,27,Female,No,5,1
+Bachelors,2012,Bangalore,3,25,Male,No,3,0
+Bachelors,2018,Bangalore,3,31,Male,No,0,1
+Bachelors,2013,Bangalore,3,36,Male,No,0,0
+Bachelors,2017,New Delhi,2,31,Male,No,1,0
+Bachelors,2016,Bangalore,3,37,Male,No,2,0
+Bachelors,2015,Bangalore,3,39,Male,No,2,0
+Bachelors,2014,Bangalore,3,28,Male,No,4,0
+Bachelors,2015,Pune,2,38,Male,No,2,1
+Masters,2017,New Delhi,3,40,Female,No,1,0
+Masters,2015,Bangalore,3,38,Female,No,1,0
+PHD,2014,New Delhi,3,23,Male,No,1,0
+Bachelors,2015,Bangalore,3,39,Male,No,2,0
+Bachelors,2014,Pune,1,22,Female,No,0,1
+Bachelors,2015,Pune,3,24,Female,No,2,1
+Masters,2014,New Delhi,3,24,Male,No,2,0
+Bachelors,2012,Bangalore,3,23,Female,No,1,1
+Bachelors,2014,Bangalore,3,30,Male,No,4,0
+Bachelors,2016,New Delhi,3,25,Female,No,3,0
+Bachelors,2013,Bangalore,3,34,Male,No,4,0
+Masters,2015,New Delhi,3,40,Female,No,5,0
+Bachelors,2012,Bangalore,3,39,Female,No,1,0
+Masters,2017,New Delhi,3,38,Female,No,2,1
+Bachelors,2016,Pune,3,38,Male,No,2,0
+Bachelors,2015,Pune,2,38,Female,No,4,1
+Bachelors,2015,Bangalore,3,31,Male,No,5,0
+Bachelors,2017,Pune,1,30,Male,No,4,0
+PHD,2013,Bangalore,3,24,Male,No,2,0
+Bachelors,2017,Bangalore,3,38,Male,No,3,0
+Bachelors,2013,Pune,3,37,Male,No,3,0
+Bachelors,2016,Bangalore,3,22,Male,No,0,0
+PHD,2012,Bangalore,3,30,Female,No,4,0
+Bachelors,2013,Bangalore,3,39,Female,No,5,0
+Bachelors,2017,Bangalore,2,35,Male,No,0,0
+Bachelors,2012,Pune,3,25,Female,No,3,1
+Bachelors,2018,Bangalore,3,32,Male,Yes,1,1
+Bachelors,2018,Bangalore,3,31,Female,No,2,1
+Bachelors,2016,Bangalore,3,37,Male,No,2,0
+Bachelors,2016,New Delhi,1,38,Female,No,2,1
+Bachelors,2014,Bangalore,3,22,Female,No,0,0
+Masters,2014,New Delhi,3,37,Female,No,0,1
+Bachelors,2018,Bangalore,3,32,Male,Yes,2,1
+Bachelors,2013,Bangalore,3,26,Male,No,4,0
+Bachelors,2017,Bangalore,3,28,Male,No,0,1
+Bachelors,2015,Bangalore,3,35,Male,No,0,0
+Bachelors,2016,Bangalore,1,33,Female,No,0,1
+Bachelors,2012,Bangalore,3,36,Female,No,4,0
+Bachelors,2013,Bangalore,3,31,Female,No,5,0
+Bachelors,2015,Pune,3,32,Female,Yes,1,1
+Masters,2017,Pune,2,31,Female,No,2,0
+Bachelors,2013,Bangalore,3,25,Female,No,3,0
+Bachelors,2016,Pune,3,30,Male,No,2,0
+Bachelors,2013,Bangalore,3,26,Female,No,4,0
+Masters,2013,Pune,2,37,Male,No,2,1
+Masters,2018,New Delhi,3,27,Male,No,5,1
+Bachelors,2012,Bangalore,3,30,Male,Yes,2,0
+Bachelors,2015,Bangalore,3,33,Male,Yes,4,0
diff --git a/docs/source/reference/ai/model-train-xgboost.rst b/docs/source/reference/ai/model-train-xgboost.rst
index b53c87d489..4f2c18ddde 100644
--- a/docs/source/reference/ai/model-train-xgboost.rst
+++ b/docs/source/reference/ai/model-train-xgboost.rst
@@ -23,4 +23,42 @@ To use the `Flaml XGBoost AutoML framework <https://microsoft.github.io/FLAML/do
    PREDICT 'rental_price';
 
 In the above query, you are creating a new customized function by training a model from the ``HomeRentals`` table using the ``Flaml XGBoost`` framework.
-The ``rental_price`` column will be the target column for predication, while the rest columns from the ``SELET`` query are the inputs. 
+The ``rental_price`` column will be the target column for predication, while the rest columns from the ``SELET`` query are the inputs.
+
+3. Model Training Parameters
+----------------------------
+
+.. list-table:: Available Parameters
+   :widths: 25 75
+
+   * - PREDICT (**required**)
+     - The name of the column we wish to predict.
+   * - TIME_LIMIT
+     - Time limit to train the model in seconds. Default: 120.
+   * - TASK
+     - Specify whether you want to perform ``regression`` task or ``classification`` task.
+   * - METRIC
+     - Specify the metric that you want to use to train your model. For e.g. for training ``regression`` tasks you could
+       use the ``r2`` or ``RMSE`` metrics. For training ``classification`` tasks you could use the ``accuracy`` or ``f1_score`` metrics.
+
+Below are the example queries specifying the aboe parameters
+
+.. code-block:: sql
+
+   CREATE FUNCTION IF NOT EXISTS PredictRent FROM
+   ( SELECT number_of_rooms, number_of_bathrooms, days_on_market, rental_price FROM HomeRentals )
+   TYPE XGBoost
+   PREDICT 'rental_price'
+   TIME_LIMIT 180
+   METRIC 'r2'
+   TASK 'regression';
+
+.. code-block:: sql
+
+   CREATE FUNCTION IF NOT EXISTS PredictEmployee FROM
+   ( SELECT payment_tier, age, gender, experience_in_current_domain, leave_or_not FROM Employee )
+   TYPE XGBoost
+   PREDICT 'leave_or_not'
+   TIME_LIMIT 180
+   METRIC 'accuracy'
+   TASK 'classification';
diff --git a/evadb/configuration/constants.py b/evadb/configuration/constants.py
index 18a1331f83..3665a28727 100644
--- a/evadb/configuration/constants.py
+++ b/evadb/configuration/constants.py
@@ -35,3 +35,4 @@
 DEFAULT_DOCUMENT_CHUNK_SIZE = 4000
 DEFAULT_DOCUMENT_CHUNK_OVERLAP = 200
 DEFAULT_TRAIN_REGRESSION_METRIC = "rmse"
+DEFAULT_XGBOOST_TASK = "regression"
diff --git a/evadb/executor/create_function_executor.py b/evadb/executor/create_function_executor.py
index d045205a65..52a3f17c9f 100644
--- a/evadb/executor/create_function_executor.py
+++ b/evadb/executor/create_function_executor.py
@@ -30,6 +30,7 @@
 from evadb.configuration.constants import (
     DEFAULT_TRAIN_REGRESSION_METRIC,
     DEFAULT_TRAIN_TIME_LIMIT,
+    DEFAULT_XGBOOST_TASK,
     EvaDB_INSTALLATION_DIR,
 )
 from evadb.database import EvaDBDatabase
@@ -238,13 +239,14 @@ def handle_xgboost_function(self):
             "time_budget": arg_map.get("time_limit", DEFAULT_TRAIN_TIME_LIMIT),
             "metric": arg_map.get("metric", DEFAULT_TRAIN_REGRESSION_METRIC),
             "estimator_list": ["xgboost"],
-            "task": "regression",
+            "task": arg_map.get("task", DEFAULT_XGBOOST_TASK),
         }
         model.fit(
             dataframe=aggregated_batch.frames, label=arg_map["predict"], **settings
         )
         model_path = os.path.join(
-            self.db.config.get_value("storage", "model_dir"), self.node.name
+            self.db.catalog().get_configuration_catalog_value("model_dir"),
+            self.node.name,
         )
         pickle.dump(model, open(model_path, "wb"))
         self.node.metadata.append(
diff --git a/test/integration_tests/long/test_model_train.py b/test/integration_tests/long/test_model_train.py
index 85e508f4d1..b1afe562d9 100644
--- a/test/integration_tests/long/test_model_train.py
+++ b/test/integration_tests/long/test_model_train.py
@@ -47,19 +47,48 @@ def setUpClass(cls):
         load_query = f"LOAD CSV '{path}' INTO HomeRentals;"
         execute_query_fetch_all(cls.evadb, load_query)
 
+        # Load data for classification tasks.
+        create_table_query = """
+           CREATE TABLE IF NOT EXISTS Employee (
+               education TEXT(128),
+               joining_year INTEGER,
+               city TEXT(128),
+               payment_tier INTEGER,
+               age INTEGER,
+               gender TEXT(128),
+               ever_benched TEXT(128),
+               experience_in_current_domain INTEGER,
+               leave_or_not INTEGER
+           );"""
+        execute_query_fetch_all(cls.evadb, create_table_query)
+
+        path = f"{EvaDB_ROOT_DIR}/data/classification/Employee.csv"
+        load_query = f"LOAD CSV '{path}' INTO Employee;"
+        execute_query_fetch_all(cls.evadb, load_query)
+
     @classmethod
     def tearDownClass(cls):
         shutdown_ray()
 
         # clean up
         execute_query_fetch_all(cls.evadb, "DROP TABLE IF EXISTS HomeRentals;")
+        execute_query_fetch_all(cls.evadb, "DROP TABLE IF EXISTS Employee;")
         execute_query_fetch_all(
             cls.evadb, "DROP FUNCTION IF EXISTS PredictHouseRentLudwig;"
         )
         execute_query_fetch_all(
             cls.evadb, "DROP FUNCTION IF EXISTS PredictHouseRentSklearn;"
         )
+        execute_query_fetch_all(
+            cls.evadb, "DROP FUNCTION IF EXISTS PredictRentXgboost;"
+        )
+        execute_query_fetch_all(
+            cls.evadb, "DROP FUNCTION IF EXISTS PredictEmployeeXgboost;"
+        )
 
+    @pytest.mark.skip(
+        reason="Model training intergration test takes too long to complete."
+    )
     @ludwig_skip_marker
     def test_ludwig_automl(self):
         create_predict_function = """
@@ -78,6 +107,9 @@ def test_ludwig_automl(self):
         self.assertEqual(len(result.columns), 1)
         self.assertEqual(len(result), 10)
 
+    @pytest.mark.skip(
+        reason="Model training intergration test takes too long to complete."
+    )
     @sklearn_skip_marker
     def test_sklearn_regression(self):
         create_predict_function = """
@@ -98,17 +130,38 @@ def test_sklearn_regression(self):
     @xgboost_skip_marker
     def test_xgboost_regression(self):
         create_predict_function = """
-            CREATE FUNCTION IF NOT EXISTS PredictRent FROM
+            CREATE OR REPLACE FUNCTION PredictRentXgboost FROM
             ( SELECT number_of_rooms, number_of_bathrooms, days_on_market, rental_price FROM HomeRentals )
             TYPE XGBoost
             PREDICT 'rental_price'
             TIME_LIMIT 180
-            METRIC 'r2';
+            METRIC 'r2'
+            TASK 'regression';
+        """
+        execute_query_fetch_all(self.evadb, create_predict_function)
+
+        predict_query = """
+            SELECT PredictRentXgboost(number_of_rooms, number_of_bathrooms, days_on_market, rental_price) FROM HomeRentals LIMIT 10;
+        """
+        result = execute_query_fetch_all(self.evadb, predict_query)
+        self.assertEqual(len(result.columns), 1)
+        self.assertEqual(len(result), 10)
+
+    @xgboost_skip_marker
+    def test_xgboost_classification(self):
+        create_predict_function = """
+            CREATE OR REPLACE FUNCTION PredictEmployeeXgboost FROM
+            ( SELECT payment_tier, age, gender, experience_in_current_domain, leave_or_not FROM Employee )
+            TYPE XGBoost
+            PREDICT 'leave_or_not'
+            TIME_LIMIT 180
+            METRIC 'accuracy'
+            TASK 'classification';
         """
         execute_query_fetch_all(self.evadb, create_predict_function)
 
         predict_query = """
-            SELECT PredictRent(number_of_rooms, number_of_bathrooms, days_on_market, rental_price) FROM HomeRentals LIMIT 10;
+            SELECT PredictEmployeeXgboost(payment_tier, age, gender, experience_in_current_domain, leave_or_not) FROM Employee LIMIT 10;
         """
         result = execute_query_fetch_all(self.evadb, predict_query)
         self.assertEqual(len(result.columns), 1)

From 6af77d25c3749105c0e26bc1f3715fcede18b057 Mon Sep 17 00:00:00 2001
From: Andy Xu <xzdandy@gmail.com>
Date: Wed, 25 Oct 2023 03:19:06 -0400
Subject: [PATCH 22/64] Add roadmap page to toc

---
 docs/_toc.yml                    |  1 +
 docs/source/overview/roadmap.rst | 43 ++++++++++++++++++++++++++++++++
 2 files changed, 44 insertions(+)
 create mode 100644 docs/source/overview/roadmap.rst

diff --git a/docs/_toc.yml b/docs/_toc.yml
index 6739643319..6d8799c655 100644
--- a/docs/_toc.yml
+++ b/docs/_toc.yml
@@ -14,6 +14,7 @@ parts:
       - file: source/overview/connect-to-data-sources
         title: Connect to Data Sources
       - file: source/overview/faq
+      - file: source/overview/roadmap
 
   - caption: Use Cases
     chapters:
diff --git a/docs/source/overview/roadmap.rst b/docs/source/overview/roadmap.rst
new file mode 100644
index 0000000000..e06e2e9819
--- /dev/null
+++ b/docs/source/overview/roadmap.rst
@@ -0,0 +1,43 @@
+Roadmap
+=======
+
+The goal of this doc is to align core and community efforts for the project and to share what's the focus for the next 6 months.
+
+What is the core Chroma team working on right now?
+--------------------------------------------------
+aaa
+
+What areas are great for community contributions?
+--------------------------------------------------
+
+.. note::
+   If you are unsure about your idea, feel free to chat with us in the **#community** channel in our `Slack <https://evadb.ai/slack>`_.
+
+We are looking forward to expand our integrations including data sources and AI functions, where we can use them with the rest of the ecosystem of EvaDB. 
+
+Example Data Sources
+~~~~~~~~~~~~~~~~~~~~
+
+`GitHub <https://github.com/georgia-tech-db/evadb/tree/staging/evadb/third_party/databases/github>`_ is one application data sources we have added in EvaDB. These application data sources help the user to develop AI applications without the needs of extracting, loading, and transforming data. Example application data sources that are not in EvaDB yet, but we think can boost the AI applications, include (but not limited to) the following:
+
+* YouTube
+* Google Search
+* Reddit
+* arXiv 
+
+When adding a data source to EvaDB, we do expect a documentation page to explain the usage. This is an `example documentation page <https://evadb.readthedocs.io/en/stable/source/reference/databases/github.html>`_ for the GitHub integration.
+
+Example AI functions
+~~~~~~~~~~~~~~~~~~~~
+
+Adding more AI functions in EvaDB can give users more choices and possibilities for developing AI applications.
+`Stable Diffusion <https://github.com/georgia-tech-db/evadb/blob/staging/evadb/functions/stable_diffusion.py>`_ is an example AI function in EvaDB that generates an image given a prompt.
+Example AI functions that are not in EvaDB yet, but we think can boost the AI applications, include (but not limited to) the following:
+
+* Sklearn (besides the linear regression)
+* OCR (PyTesseract)
+* AWS Rekognition service  
+ 
+When adding a AI function to EvaDB, we do expect a documentation page to explain the usage. This is an `example documetation page <https://evadb.readthedocs.io/en/latest/source/reference/ai/stablediffusion.html>`_ for Stable Diffusion. Optionally, but highly recommended is also to have a notebook to showcase the use cases.
+Example `notebook <https://colab.research.google.com/github/georgia-tech-db/eva/blob/master/tutorials/18-stable-diffusion.ipynb>`_ for Stable Diffusion.
+

From f420faa09f8350782011a744edd332de4c16a2d9 Mon Sep 17 00:00:00 2001
From: Chitti Ankith <chittiankith@gmail.com>
Date: Wed, 25 Oct 2023 20:30:47 -0400
Subject: [PATCH 23/64] Convert nested join in Vector Queries to Pandas Merge. 
 (#1298)

Profiling on Vector Scan showed that we are spending a lot of time in
the post-processing logic doing a Nested Join. This is an initial commit
to change that into a Join using Pandas. Change showed ~50% improvement
in Similarity Queries.
---
 evadb/executor/vector_index_scan_executor.py | 38 +++++++++++++-------
 1 file changed, 26 insertions(+), 12 deletions(-)

diff --git a/evadb/executor/vector_index_scan_executor.py b/evadb/executor/vector_index_scan_executor.py
index b2e1bb219e..0d6ee58c4f 100644
--- a/evadb/executor/vector_index_scan_executor.py
+++ b/evadb/executor/vector_index_scan_executor.py
@@ -114,7 +114,6 @@ def _evadb_vector_index_scan(self, *args, **kwargs):
         # todo support queries over distance as well
         # distance_list = index_result.similarities
         row_num_np = index_result.ids
-
         # Load projected columns from disk and join with search results.
         row_num_col_name = None
 
@@ -126,20 +125,35 @@ def _evadb_vector_index_scan(self, *args, **kwargs):
                 f"The index {self.index_name} returned only {num_required_results} results, which is fewer than the required {self.limit_count.value}."
             )
 
-        res_row_list = [None for _ in range(num_required_results)]
+        final_df = pd.DataFrame()
+        res_data_list = []
+        row_num_df = pd.DataFrame({"row_num_np": row_num_np})
         for batch in self.children[0].exec(**kwargs):
-            column_list = batch.columns
             if not row_num_col_name:
+                column_list = batch.columns
                 row_num_alias = get_row_num_column_alias(column_list)
                 row_num_col_name = "{}.{}".format(row_num_alias, ROW_NUM_COLUMN)
 
-            # Nested join.
-            for _, row in batch.frames.iterrows():
-                for idx, row_num in enumerate(row_num_np):
-                    if row_num == row[row_num_col_name]:
-                        res_row = dict()
-                        for col_name in column_list:
-                            res_row[col_name] = row[col_name]
-                        res_row_list[idx] = res_row
+            if not batch.frames[row_num_col_name].isin(row_num_df["row_num_np"]).any():
+                continue
+
+            for index, row in batch.frames.iterrows():
+                row_dict = row.to_dict()
+                res_data_list.append(row_dict)
+
+        result_df = pd.DataFrame(res_data_list)
+        result_df.set_index(row_num_col_name, inplace=True)
+        result_df = result_df.reindex(row_num_np)
+        row_num_df.set_index(pd.Index(row_num_np), inplace=True)
+
+        final_df = pd.merge(
+            row_num_df,
+            result_df,
+            left_index=True,
+            right_index=True,
+            how="left",
+        )
 
-        yield Batch(pd.DataFrame(res_row_list))
+        if "row_num_np" in final_df:
+            del final_df["row_num_np"]
+        yield Batch(final_df)

From 58577401ef2273ef503c23351b2535a9cb470b09 Mon Sep 17 00:00:00 2001
From: Andy Xu <xzdandy@gmail.com>
Date: Thu, 26 Oct 2023 10:54:19 -0400
Subject: [PATCH 24/64] checkpoint

---
 docs/source/overview/roadmap.rst | 21 +++++++++++++++++++--
 1 file changed, 19 insertions(+), 2 deletions(-)

diff --git a/docs/source/overview/roadmap.rst b/docs/source/overview/roadmap.rst
index e06e2e9819..6069dad3af 100644
--- a/docs/source/overview/roadmap.rst
+++ b/docs/source/overview/roadmap.rst
@@ -3,9 +3,26 @@ Roadmap
 
 The goal of this doc is to align core and community efforts for the project and to share what's the focus for the next 6 months.
 
-What is the core Chroma team working on right now?
+What is the core EvaDB team working on right now?
 --------------------------------------------------
-aaa
+
+Our biggest priorities right now are improving the user experience of LLM data wrangling and classical AI tasks (e.g., regression, classification, and forecasting).
+
+LLM data wrangling
+~~~~~~~~~~~~~~~~~~
+
+* Prompt Engineering: more flexibility of constructing prompt and better experience/feedback to tune the prompt. 
+* LLM Cache: reuse the LLM calls based on the model, prompt, and input columns.
+* LLM Batch: intelligently group multiple LLM calls into one to reduce the cost and latency. 
+* Cost Calculation and Estimation: show the cost (i.e., time, token usage, and dollars) of the query at the plan time and after execution.
+
+Classical AI tasks
+~~~~~~~~~~~~~~~~~~
+
+* Accuracy: show the accuracy of the training.
+* Configuration guidance: provide guidance and suggestion on how to configure the AutoML framework (e.g., which frequency to use for forcasting).
+* Cost calculation and estimation: show the cost (i.e., time) of the query the plan time and after exectuion.
+* Path to Scale: improve the processing pipeline for large datasets.
 
 What areas are great for community contributions?
 --------------------------------------------------

From 30615528df0f0628f08b95fb129d9059bedbabdc Mon Sep 17 00:00:00 2001
From: Joy Arulraj <arulraj@gatech.edu>
Date: Thu, 26 Oct 2023 11:37:03 -0400
Subject: [PATCH 25/64] docs: added survey link

---
 README.md | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/README.md b/README.md
index 92b3a5e681..b5642fc57e 100644
--- a/README.md
+++ b/README.md
@@ -85,6 +85,8 @@ EvaDB enables software developers to build AI apps in a few lines of code. Its p
   <li> 📝 following us on <a href="https://medium.com/evadb-blog">Medium</a>
 </ul>
 
+We would love to learn about your AI app. Please complete this 1-minute form: https://v0fbgcue0cm.typeform.com/to/BZHZWeZm
+
 ## Quick Links
 
 - [Quick Links](#quick-links)
@@ -210,6 +212,8 @@ EvaDB's AI-centric query optimizer takes a query as input and generates a query
 
 ## Community and Support
 
+We would love to learn about your AI app. Please complete this 1-minute form: https://v0fbgcue0cm.typeform.com/to/BZHZWeZm
+
 <!--<p>
   <a href="https://evadb.ai/community">
       <img width="70%" src="https://raw.githubusercontent.com/georgia-tech-db/evadb/master/docs/images/evadb/evadb-slack.png" alt="EvaDB Slack Channel">

From af696d6f91142c01b31c4323f2a3018b19c06a9a Mon Sep 17 00:00:00 2001
From: Gaurav Tarlok Kakkar <gaurav21776@gmail.com>
Date: Thu, 26 Oct 2023 23:57:10 -0400
Subject: [PATCH 26/64] refactor: code refactor (#1319)

Moved Function Expression Binder to a separate file
---
 evadb/binder/function_expression_binder.py    | 211 ++++++++++++++++++
 evadb/binder/statement_binder.py              | 128 +----------
 .../binder/test_statement_binder.py           |   2 +-
 3 files changed, 216 insertions(+), 125 deletions(-)
 create mode 100644 evadb/binder/function_expression_binder.py

diff --git a/evadb/binder/function_expression_binder.py b/evadb/binder/function_expression_binder.py
new file mode 100644
index 0000000000..c6225e3d11
--- /dev/null
+++ b/evadb/binder/function_expression_binder.py
@@ -0,0 +1,211 @@
+# coding=utf-8
+# Copyright 2018-2023 EvaDB
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+from pathlib import Path
+
+from evadb.binder.binder_utils import (
+    BinderError,
+    extend_star,
+    resolve_alias_table_value_expression,
+)
+from evadb.binder.statement_binder import StatementBinder
+from evadb.catalog.catalog_utils import (
+    get_metadata_properties,
+    get_video_table_column_definitions,
+)
+from evadb.configuration.constants import EvaDB_INSTALLATION_DIR
+from evadb.executor.execution_context import Context
+from evadb.expression.function_expression import FunctionExpression
+from evadb.expression.tuple_value_expression import TupleValueExpression
+from evadb.parser.types import FunctionType
+from evadb.third_party.huggingface.binder import assign_hf_function
+from evadb.utils.generic_utils import (
+    load_function_class_from_file,
+    string_comparison_case_insensitive,
+)
+from evadb.utils.logging_manager import logger
+
+
+def bind_func_expr(binder: StatementBinder, node: FunctionExpression):
+    # setup the context
+    # we read the GPUs from the catalog and populate in the context
+    gpus_ids = binder._catalog().get_configuration_catalog_value("gpu_ids")
+    node._context = Context(gpus_ids)
+
+    # handle the special case of "extract_object"
+    if node.name.upper() == str(FunctionType.EXTRACT_OBJECT):
+        handle_bind_extract_object_function(node, binder)
+        return
+
+    # Handle Func(*)
+    if (
+        len(node.children) == 1
+        and isinstance(node.children[0], TupleValueExpression)
+        and node.children[0].name == "*"
+    ):
+        node.children = extend_star(binder._binder_context)
+    # bind all the children
+    for child in node.children:
+        binder.bind(child)
+
+    function_obj = binder._catalog().get_function_catalog_entry_by_name(node.name)
+    if function_obj is None:
+        err_msg = (
+            f"Function '{node.name}' does not exist in the catalog. "
+            "Please create the function using CREATE FUNCTION command."
+        )
+        logger.error(err_msg)
+        raise BinderError(err_msg)
+
+    if string_comparison_case_insensitive(function_obj.type, "HuggingFace"):
+        node.function = assign_hf_function(function_obj)
+
+    elif string_comparison_case_insensitive(function_obj.type, "Ludwig"):
+        function_class = load_function_class_from_file(
+            function_obj.impl_file_path,
+            "GenericLudwigModel",
+        )
+        function_metadata = get_metadata_properties(function_obj)
+        assert "model_path" in function_metadata, "Ludwig models expect 'model_path'."
+        node.function = lambda: function_class(
+            model_path=function_metadata["model_path"]
+        )
+
+    else:
+        if function_obj.type == "ultralytics":
+            # manually set the impl_path for yolo functions we only handle object
+            # detection for now, hopefully this can be generalized
+            function_dir = Path(EvaDB_INSTALLATION_DIR) / "functions"
+            function_obj.impl_file_path = (
+                Path(f"{function_dir}/yolo_object_detector.py").absolute().as_posix()
+            )
+
+        # Verify the consistency of the function. If the checksum of the function does not
+        # match the one stored in the catalog, an error will be thrown and the user
+        # will be asked to register the function again.
+        # assert (
+        #     get_file_checksum(function_obj.impl_file_path) == function_obj.checksum
+        # ), f"""Function file {function_obj.impl_file_path} has been modified from the
+        #     registration. Please use DROP FUNCTION to drop it and re-create it # using CREATE FUNCTION."""
+
+        try:
+            function_class = load_function_class_from_file(
+                function_obj.impl_file_path,
+                function_obj.name,
+            )
+            # certain functions take additional inputs like yolo needs the model_name
+            # these arguments are passed by the user as part of metadata
+            # we also handle the special case of ChatGPT where we need to send the
+            # OpenAPI key as part of the parameter if not provided by the user
+            properties = get_metadata_properties(function_obj)
+            if string_comparison_case_insensitive(node.name, "CHATGPT"):
+                # if the user didn't provide any API_KEY, check if we have one in the catalog
+                if "OPENAI_API_KEY" not in properties.keys():
+                    openapi_key = binder._catalog().get_configuration_catalog_value(
+                        "OPENAI_API_KEY"
+                    )
+                    properties["openai_api_key"] = openapi_key
+
+            node.function = lambda: function_class(**properties)
+        except Exception as e:
+            err_msg = (
+                f"{str(e)}. Please verify that the function class name in the "
+                "implementation file matches the function name."
+            )
+            logger.error(err_msg)
+            raise BinderError(err_msg)
+
+    node.function_obj = function_obj
+    output_objs = binder._catalog().get_function_io_catalog_output_entries(function_obj)
+    if node.output:
+        for obj in output_objs:
+            if obj.name.lower() == node.output:
+                node.output_objs = [obj]
+        if not node.output_objs:
+            err_msg = f"Output {node.output} does not exist for {function_obj.name}."
+            logger.error(err_msg)
+            raise BinderError(err_msg)
+        node.projection_columns = [node.output]
+    else:
+        node.output_objs = output_objs
+        node.projection_columns = [obj.name.lower() for obj in output_objs]
+
+    resolve_alias_table_value_expression(node)
+
+
+def handle_bind_extract_object_function(
+    node: FunctionExpression, binder_context: StatementBinder
+):
+    """Handles the binding of extract_object function.
+        1. Bind the source video data
+        2. Create and bind the detector function expression using the provided name.
+        3. Create and bind the tracker function expression.
+            Its inputs are id, data, output of detector.
+        4. Bind the EXTRACT_OBJECT function expression and append the new children.
+        5. Handle the alias and populate the outputs of the EXTRACT_OBJECT function
+    Args:
+        node (FunctionExpression): The function expression representing the extract object operation.
+        binder_context (StatementBinder): The binder object used to bind expressions in the statement.
+    Raises:
+        AssertionError: If the number of children in the `node` is not equal to 3.
+    """
+    assert (
+        len(node.children) == 3
+    ), f"Invalid arguments provided to {node}. Example correct usage, (data, Detector, Tracker)"
+
+    # 1. Bind the source video
+    video_data = node.children[0]
+    binder_context.bind(video_data)
+
+    # 2. Construct the detector
+    # convert detector to FunctionExpression before binding
+    # eg. YoloV5 -> YoloV5(data)
+    detector = FunctionExpression(None, node.children[1].name)
+    detector.append_child(video_data.copy())
+    binder_context.bind(detector)
+
+    # 3. Construct the tracker
+    # convert tracker to FunctionExpression before binding
+    # eg. ByteTracker -> ByteTracker(id, data, labels, bboxes, scores)
+    tracker = FunctionExpression(None, node.children[2].name)
+    # create the video id expression
+    columns = get_video_table_column_definitions()
+    tracker.append_child(
+        TupleValueExpression(name=columns[1].name, table_alias=video_data.table_alias)
+    )
+    tracker.append_child(video_data.copy())
+    binder_context.bind(tracker)
+    # append the bound output of detector
+    for obj in detector.output_objs:
+        col_alias = "{}.{}".format(obj.function_name.lower(), obj.name.lower())
+        child = TupleValueExpression(
+            obj.name,
+            table_alias=obj.function_name.lower(),
+            col_object=obj,
+            col_alias=col_alias,
+        )
+        tracker.append_child(child)
+
+    # 4. Bind the EXTRACT_OBJECT expression and append the new children.
+    node.children = []
+    node.children = [video_data, detector, tracker]
+
+    # 5. assign the outputs of tracker to the output of extract_object
+    node.output_objs = tracker.output_objs
+    node.projection_columns = [obj.name.lower() for obj in node.output_objs]
+
+    # 5. resolve alias based on the what user provided
+    # we assign the alias to tracker as it governs the output of the extract object
+    resolve_alias_table_value_expression(node)
+    tracker.alias = node.alias
diff --git a/evadb/binder/statement_binder.py b/evadb/binder/statement_binder.py
index 128e6e7eed..e08085a1d8 100644
--- a/evadb/binder/statement_binder.py
+++ b/evadb/binder/statement_binder.py
@@ -13,7 +13,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 from functools import singledispatchmethod
-from pathlib import Path
 from typing import Callable
 
 from evadb.binder.binder_utils import (
@@ -26,15 +25,11 @@
     extend_star,
     get_bound_func_expr_outputs_as_tuple_value_expr,
     get_column_definition_from_select_target_list,
-    handle_bind_extract_object_function,
-    resolve_alias_table_value_expression,
 )
 from evadb.binder.statement_binder_context import StatementBinderContext
 from evadb.catalog.catalog_type import ColumnType, TableType
-from evadb.catalog.catalog_utils import get_metadata_properties, is_document_table
+from evadb.catalog.catalog_utils import is_document_table
 from evadb.catalog.sql_config import RESTRICTED_COL_NAMES
-from evadb.configuration.constants import EvaDB_INSTALLATION_DIR
-from evadb.executor.execution_context import Context
 from evadb.expression.abstract_expression import AbstractExpression, ExpressionType
 from evadb.expression.function_expression import FunctionExpression
 from evadb.expression.tuple_value_expression import TupleValueExpression
@@ -47,13 +42,7 @@
 from evadb.parser.select_statement import SelectStatement
 from evadb.parser.statement import AbstractStatement
 from evadb.parser.table_ref import TableRef
-from evadb.parser.types import FunctionType
-from evadb.third_party.huggingface.binder import assign_hf_function
-from evadb.utils.generic_utils import (
-    load_function_class_from_file,
-    string_comparison_case_insensitive,
-)
-from evadb.utils.logging_manager import logger
+from evadb.utils.generic_utils import string_comparison_case_insensitive
 
 
 class StatementBinder:
@@ -274,115 +263,6 @@ def _bind_tuple_expr(self, node: TupleValueExpression):
 
     @bind.register(FunctionExpression)
     def _bind_func_expr(self, node: FunctionExpression):
-        # setup the context
-        # we read the GPUs from the catalog and populate in the context
-        gpus_ids = self._catalog().get_configuration_catalog_value("gpu_ids")
-        node._context = Context(gpus_ids)
-
-        # handle the special case of "extract_object"
-        if node.name.upper() == str(FunctionType.EXTRACT_OBJECT):
-            handle_bind_extract_object_function(node, self)
-            return
-
-        # Handle Func(*)
-        if (
-            len(node.children) == 1
-            and isinstance(node.children[0], TupleValueExpression)
-            and node.children[0].name == "*"
-        ):
-            node.children = extend_star(self._binder_context)
-        # bind all the children
-        for child in node.children:
-            self.bind(child)
-
-        function_obj = self._catalog().get_function_catalog_entry_by_name(node.name)
-        if function_obj is None:
-            err_msg = (
-                f"Function '{node.name}' does not exist in the catalog. "
-                "Please create the function using CREATE FUNCTION command."
-            )
-            logger.error(err_msg)
-            raise BinderError(err_msg)
-
-        if string_comparison_case_insensitive(function_obj.type, "HuggingFace"):
-            node.function = assign_hf_function(function_obj)
-
-        elif string_comparison_case_insensitive(function_obj.type, "Ludwig"):
-            function_class = load_function_class_from_file(
-                function_obj.impl_file_path,
-                "GenericLudwigModel",
-            )
-            function_metadata = get_metadata_properties(function_obj)
-            assert (
-                "model_path" in function_metadata
-            ), "Ludwig models expect 'model_path'."
-            node.function = lambda: function_class(
-                model_path=function_metadata["model_path"]
-            )
-
-        else:
-            if function_obj.type == "ultralytics":
-                # manually set the impl_path for yolo functions we only handle object
-                # detection for now, hopefully this can be generalized
-                function_dir = Path(EvaDB_INSTALLATION_DIR) / "functions"
-                function_obj.impl_file_path = (
-                    Path(f"{function_dir}/yolo_object_detector.py")
-                    .absolute()
-                    .as_posix()
-                )
-
-            # Verify the consistency of the function. If the checksum of the function does not
-            # match the one stored in the catalog, an error will be thrown and the user
-            # will be asked to register the function again.
-            # assert (
-            #     get_file_checksum(function_obj.impl_file_path) == function_obj.checksum
-            # ), f"""Function file {function_obj.impl_file_path} has been modified from the
-            #     registration. Please use DROP FUNCTION to drop it and re-create it # using CREATE FUNCTION."""
-
-            try:
-                function_class = load_function_class_from_file(
-                    function_obj.impl_file_path,
-                    function_obj.name,
-                )
-                # certain functions take additional inputs like yolo needs the model_name
-                # these arguments are passed by the user as part of metadata
-                # we also handle the special case of ChatGPT where we need to send the
-                # OpenAPI key as part of the parameter if not provided by the user
-                properties = get_metadata_properties(function_obj)
-                if string_comparison_case_insensitive(node.name, "CHATGPT"):
-                    # if the user didn't provide any API_KEY, check if we have one in the catalog
-                    if "OPENAI_API_KEY" not in properties.keys():
-                        openapi_key = self._catalog().get_configuration_catalog_value(
-                            "OPENAI_API_KEY"
-                        )
-                        properties["openai_api_key"] = openapi_key
-
-                node.function = lambda: function_class(**properties)
-            except Exception as e:
-                err_msg = (
-                    f"{str(e)}. Please verify that the function class name in the "
-                    "implementation file matches the function name."
-                )
-                logger.error(err_msg)
-                raise BinderError(err_msg)
-
-        node.function_obj = function_obj
-        output_objs = self._catalog().get_function_io_catalog_output_entries(
-            function_obj
-        )
-        if node.output:
-            for obj in output_objs:
-                if obj.name.lower() == node.output:
-                    node.output_objs = [obj]
-            if not node.output_objs:
-                err_msg = (
-                    f"Output {node.output} does not exist for {function_obj.name}."
-                )
-                logger.error(err_msg)
-                raise BinderError(err_msg)
-            node.projection_columns = [node.output]
-        else:
-            node.output_objs = output_objs
-            node.projection_columns = [obj.name.lower() for obj in output_objs]
+        from evadb.binder.function_expression_binder import bind_func_expr
 
-        resolve_alias_table_value_expression(node)
+        bind_func_expr(self, node)
diff --git a/test/unit_tests/binder/test_statement_binder.py b/test/unit_tests/binder/test_statement_binder.py
index d6642ea9a2..ee2e9305e4 100644
--- a/test/unit_tests/binder/test_statement_binder.py
+++ b/test/unit_tests/binder/test_statement_binder.py
@@ -184,7 +184,7 @@ def test_bind_func_expr_with_star(self):
                 call2.args[0], TupleValueExpression(name=tvp2[1], table_alias=tvp2[0])
             )
 
-    @patch("evadb.binder.statement_binder.load_function_class_from_file")
+    @patch("evadb.binder.function_expression_binder.load_function_class_from_file")
     def test_bind_func_expr(self, mock_load_function_class_from_file):
         # setup
         func_expr = MagicMock(

From 71b9aca8c82e927825dffe39eb365077bb5ef9e5 Mon Sep 17 00:00:00 2001
From: Richard Zhang <105668049+RichardZhangRZ@users.noreply.github.com>
Date: Fri, 27 Oct 2023 00:43:10 -0400
Subject: [PATCH 27/64] Add Milvus integration for vector create and search
 (#1269)

Integrated Milvus vector store into EvaDB. Added a `MilvusVectorStore`
class and Milvus type for query parsing and execution.
Below are environment values for the use of the Milvus index:

* `MILVUS_URI` is the URI of the Milvus instance (which would be
http://localhost:19530 when running locally). **This value is required**
* `MILVUS_USER` is the name of the user for the Milvus instance.
* `MILVUS_PASSWORD` is the password of the user for the Milvus instance.
* `MILVUS_DB_NAME` is the name of the database to be used. This will
default to the `default` database if not provided.
* `MILVUS_TOKEN` is the authorization token for the Milvus instance.

---------

Co-authored-by: Andy Xu <xzdandy@gmail.com>
---
 docs/_toc.yml                                 |   1 +
 .../reference/vector_databases/milvus.rst     |  37 +++++
 evadb/catalog/catalog_type.py                 |   1 +
 evadb/evadb_config.py                         |   5 +
 evadb/executor/executor_utils.py              |  12 ++
 evadb/interfaces/relational/db.py             |   2 +-
 evadb/parser/evadb.lark                       |   3 +-
 .../parser/lark_visitor/_create_statements.py |   2 +
 evadb/third_party/vector_stores/milvus.py     | 146 ++++++++++++++++++
 evadb/third_party/vector_stores/utils.py      |   9 ++
 evadb/utils/generic_utils.py                  |  18 +++
 script/formatting/spelling.txt                |   8 +
 setup.py                                      |   7 +-
 .../integration_tests/long/test_similarity.py |  52 ++++++-
 test/markers.py                               |   6 +
 15 files changed, 304 insertions(+), 5 deletions(-)
 create mode 100644 docs/source/reference/vector_databases/milvus.rst
 create mode 100644 evadb/third_party/vector_stores/milvus.py

diff --git a/docs/_toc.yml b/docs/_toc.yml
index 6739643319..9fca93eac0 100644
--- a/docs/_toc.yml
+++ b/docs/_toc.yml
@@ -81,6 +81,7 @@ parts:
           - file: source/reference/vector_databases/qdrant
           - file: source/reference/vector_databases/pgvector
           - file: source/reference/vector_databases/pinecone
+          - file: source/reference/vector_databases/milvus
 
       - file: source/reference/ai/index
         title: AI Engines
diff --git a/docs/source/reference/vector_databases/milvus.rst b/docs/source/reference/vector_databases/milvus.rst
new file mode 100644
index 0000000000..eea73850e0
--- /dev/null
+++ b/docs/source/reference/vector_databases/milvus.rst
@@ -0,0 +1,37 @@
+Milvus
+==========
+
+Milvus is an open-source, distributed vector database designed for similarity search and analytics on large-scale vector data.
+The connection to Milvus is based on the `pymilvus <https://pymilvus.readthedocs.io/en/latest>`_ library.
+
+Dependency
+----------
+
+* pymilvus
+
+Parameters
+----------
+
+To use Milvus you must have a URI to a running Milvus instance. Here are the `instructions to spin up a local instance <https://milvus.io/docs/install_standalone-docker.md>`_.
+If you are running it locally, the Milvus instance should be running on ``http://localhost:19530``. Please be sure that the Milvus version is >= 2.3.0. Below are values that the Milvus integration uses:
+
+* `MILVUS_URI` is the URI of the Milvus instance (which would be ``http://localhost:19530`` when running locally). **This value is required**
+* `MILVUS_USER` is the name of the user for the Milvus instance.
+* `MILVUS_PASSWORD` is the password of the user for the Milvus instance.
+* `MILVUS_DB_NAME` is the name of the database to be used. This will default to the `default` database if not provided.
+* `MILVUS_TOKEN` is the authorization token for the Milvus instance. 
+
+The above values can either be set via the ``SET`` statement, or in the os environment fields "MILVUS_URI", "MILVUS_USER", "MILVUS_PASSWORD", "MILVUS_DB_NAME", and "MILVUS_TOKEN"
+
+
+.. code-block:: sql
+
+   SET MILVUS_URI = 'http://localhost:19530';
+
+
+Create Index
+-----------------
+
+.. code-block:: sql
+
+   CREATE INDEX index_name ON table_name (data) USING MILVUS;
diff --git a/evadb/catalog/catalog_type.py b/evadb/catalog/catalog_type.py
index 4928807c22..d6c052126a 100644
--- a/evadb/catalog/catalog_type.py
+++ b/evadb/catalog/catalog_type.py
@@ -117,6 +117,7 @@ class VectorStoreType(EvaDBEnum):
     PINECONE  # noqa: F821
     PGVECTOR  # noqa: F821
     CHROMADB  # noqa: F821
+    MILVUS  # noqa: F821
 
 
 class VideoColumnName(EvaDBEnum):
diff --git a/evadb/evadb_config.py b/evadb/evadb_config.py
index 800112a601..9c209c0128 100644
--- a/evadb/evadb_config.py
+++ b/evadb/evadb_config.py
@@ -36,4 +36,9 @@
     "OPENAI_API_KEY": "",
     "PINECONE_API_KEY": "",
     "PINECONE_ENV": "",
+    "MILVUS_URI": "",
+    "MILVUS_USER": "",
+    "MILVUS_PASSWORD": "",
+    "MILVUS_DB_NAME": "",
+    "MILVUS_TOKEN": "",
 }
diff --git a/evadb/executor/executor_utils.py b/evadb/executor/executor_utils.py
index 9c2c3d5dbc..40945c1e5a 100644
--- a/evadb/executor/executor_utils.py
+++ b/evadb/executor/executor_utils.py
@@ -185,6 +185,18 @@ def handle_vector_store_params(
             ),
             "PINECONE_ENV": catalog().get_configuration_catalog_value("PINECONE_ENV"),
         }
+    elif vector_store_type == VectorStoreType.MILVUS:
+        return {
+            "MILVUS_URI": catalog().get_configuration_catalog_value("MILVUS_URI"),
+            "MILVUS_USER": catalog().get_configuration_catalog_value("MILVUS_USER"),
+            "MILVUS_PASSWORD": catalog().get_configuration_catalog_value(
+                "MILVUS_PASSWORD"
+            ),
+            "MILVUS_DB_NAME": catalog().get_configuration_catalog_value(
+                "MILVUS_DB_NAME"
+            ),
+            "MILVUS_TOKEN": catalog().get_configuration_catalog_value("MILVUS_TOKEN"),
+        }
     else:
         raise ValueError("Unsupported vector store type: {}".format(vector_store_type))
 
diff --git a/evadb/interfaces/relational/db.py b/evadb/interfaces/relational/db.py
index 1b3bd84ae2..a8d66a22bf 100644
--- a/evadb/interfaces/relational/db.py
+++ b/evadb/interfaces/relational/db.py
@@ -248,7 +248,7 @@ def create_vector_index(
             index_name (str): Name of the index.
             table_name (str): Name of the table.
             expr (str): Expression used to build the vector index.
-            using (str): Method used for indexing, can be `FAISS` or `QDRANT` or `PINECONE` or `CHROMADB`.
+            using (str): Method used for indexing, can be `FAISS` or `QDRANT` or `PINECONE` or `CHROMADB` or `MILVUS`.
 
         Returns:
             EvaDBCursor: The EvaDBCursor object.
diff --git a/evadb/parser/evadb.lark b/evadb/parser/evadb.lark
index d3f455fbb6..73474e5e74 100644
--- a/evadb/parser/evadb.lark
+++ b/evadb/parser/evadb.lark
@@ -53,7 +53,7 @@ function_metadata_key: uid
 
 function_metadata_value: constant
 
-vector_store_type: USING (FAISS | QDRANT | PINECONE | PGVECTOR | CHROMADB)
+vector_store_type: USING (FAISS | QDRANT | PINECONE | PGVECTOR | CHROMADB | MILVUS)
 
 index_elem: ("(" uid_list ")"
           | "(" function_call ")")
@@ -424,6 +424,7 @@ QDRANT:                              "QDRANT"i
 PINECONE:                            "PINECONE"i
 PGVECTOR:                            "PGVECTOR"i
 CHROMADB:                            "CHROMADB"i
+MILVUS:                              "MILVUS"i
 
 // Computer vision tasks
 
diff --git a/evadb/parser/lark_visitor/_create_statements.py b/evadb/parser/lark_visitor/_create_statements.py
index 18e13ca3fc..a24f1eafc9 100644
--- a/evadb/parser/lark_visitor/_create_statements.py
+++ b/evadb/parser/lark_visitor/_create_statements.py
@@ -299,6 +299,8 @@ def vector_store_type(self, tree):
             vector_store_type = VectorStoreType.PGVECTOR
         elif str.upper(token) == "CHROMADB":
             vector_store_type = VectorStoreType.CHROMADB
+        elif str.upper(token) == "MILVUS":
+            vector_store_type = VectorStoreType.MILVUS
         return vector_store_type
 
 
diff --git a/evadb/third_party/vector_stores/milvus.py b/evadb/third_party/vector_stores/milvus.py
new file mode 100644
index 0000000000..26936b2c27
--- /dev/null
+++ b/evadb/third_party/vector_stores/milvus.py
@@ -0,0 +1,146 @@
+# coding=utf-8
+# Copyright 2018-2023 EvaDB
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import os
+from typing import List
+
+from evadb.third_party.vector_stores.types import (
+    FeaturePayload,
+    VectorIndexQuery,
+    VectorIndexQueryResult,
+    VectorStore,
+)
+from evadb.utils.generic_utils import try_to_import_milvus_client
+
+allowed_params = [
+    "MILVUS_URI",
+    "MILVUS_USER",
+    "MILVUS_PASSWORD",
+    "MILVUS_DB_NAME",
+    "MILVUS_TOKEN",
+]
+required_params = []
+_milvus_client_instance = None
+
+
+def get_milvus_client(
+    milvus_uri: str,
+    milvus_user: str,
+    milvus_password: str,
+    milvus_db_name: str,
+    milvus_token: str,
+):
+    global _milvus_client_instance
+    if _milvus_client_instance is None:
+        try_to_import_milvus_client()
+        import pymilvus
+
+        _milvus_client_instance = pymilvus.MilvusClient(
+            uri=milvus_uri,
+            user=milvus_user,
+            password=milvus_password,
+            db_name=milvus_db_name,
+            token=milvus_token,
+        )
+
+    return _milvus_client_instance
+
+
+class MilvusVectorStore(VectorStore):
+    def __init__(self, index_name: str, **kwargs) -> None:
+        # Milvus URI is the only required
+        self._milvus_uri = kwargs.get("MILVUS_URI")
+
+        if not self._milvus_uri:
+            self._milvus_uri = os.environ.get("MILVUS_URI")
+
+        assert (
+            self._milvus_uri
+        ), "Please set your Milvus URI in evadb.yml file (third_party, MILVUS_URI) or environment variable (MILVUS_URI)."
+
+        # Check other Milvus variables for additional customization
+        self._milvus_user = kwargs.get("MILVUS_USER")
+
+        if not self._milvus_user:
+            self._milvus_user = os.environ.get("MILVUS_USER", "")
+
+        self._milvus_password = kwargs.get("MILVUS_PASSWORD")
+
+        if not self._milvus_password:
+            self._milvus_password = os.environ.get("MILVUS_PASSWORD", "")
+
+        self._milvus_db_name = kwargs.get("MILVUS_DB_NAME")
+
+        if not self._milvus_db_name:
+            self._milvus_db_name = os.environ.get("MILVUS_DB_NAME", "")
+
+        self._milvus_token = kwargs.get("MILVUS_TOKEN")
+
+        if not self._milvus_token:
+            self._milvus_token = os.environ.get("MILVUS_TOKEN", "")
+
+        self._client = get_milvus_client(
+            milvus_uri=self._milvus_uri,
+            milvus_user=self._milvus_user,
+            milvus_password=self._milvus_password,
+            milvus_db_name=self._milvus_db_name,
+            milvus_token=self._milvus_token,
+        )
+        self._collection_name = index_name
+
+    def create(self, vector_dim: int):
+        if self._collection_name in self._client.list_collections():
+            self._client.drop_collection(self._collection_name)
+        self._client.create_collection(
+            collection_name=self._collection_name,
+            dimension=vector_dim,
+            metric_type="COSINE",
+        )
+
+    def add(self, payload: List[FeaturePayload]):
+        milvus_data = [
+            {
+                "id": feature_payload.id,
+                "vector": feature_payload.embedding.reshape(-1).tolist(),
+            }
+            for feature_payload in payload
+        ]
+        ids = [feature_payload.id for feature_payload in payload]
+
+        # Milvus Client does not have upsert operation, perform delete + insert to emulate it
+        self._client.delete(collection_name=self._collection_name, pks=ids)
+
+        self._client.insert(collection_name=self._collection_name, data=milvus_data)
+
+    def persist(self):
+        self._client.flush(self._collection_name)
+
+    def delete(self) -> None:
+        self._client.drop_collection(
+            collection_name=self._collection_name,
+        )
+
+    def query(self, query: VectorIndexQuery) -> VectorIndexQueryResult:
+        response = self._client.search(
+            collection_name=self._collection_name,
+            data=[query.embedding.reshape(-1).tolist()],
+            limit=query.top_k,
+        )[0]
+
+        distances, ids = [], []
+        for result in response:
+            distances.append(result["distance"])
+            ids.append(result["id"])
+
+        return VectorIndexQueryResult(distances, ids)
diff --git a/evadb/third_party/vector_stores/utils.py b/evadb/third_party/vector_stores/utils.py
index c7c5cb75b2..2a01d57e68 100644
--- a/evadb/third_party/vector_stores/utils.py
+++ b/evadb/third_party/vector_stores/utils.py
@@ -15,6 +15,7 @@
 from evadb.catalog.catalog_type import VectorStoreType
 from evadb.third_party.vector_stores.chromadb import ChromaDBVectorStore
 from evadb.third_party.vector_stores.faiss import FaissVectorStore
+from evadb.third_party.vector_stores.milvus import MilvusVectorStore
 from evadb.third_party.vector_stores.pinecone import PineconeVectorStore
 from evadb.third_party.vector_stores.qdrant import QdrantVectorStore
 from evadb.utils.generic_utils import validate_kwargs
@@ -50,5 +51,13 @@ def init_vector_store(
             validate_kwargs(kwargs, required_params, required_params)
             return ChromaDBVectorStore(index_name, **kwargs)
 
+        elif vector_store_type == VectorStoreType.MILVUS:
+            from evadb.third_party.vector_stores.milvus import (
+                allowed_params,
+                required_params,
+            )
+
+            validate_kwargs(kwargs, allowed_params, required_params)
+            return MilvusVectorStore(index_name, **kwargs)
         else:
             raise Exception(f"Vector store {vector_store_type} not supported")
diff --git a/evadb/utils/generic_utils.py b/evadb/utils/generic_utils.py
index fb6bd9986a..b190e748db 100644
--- a/evadb/utils/generic_utils.py
+++ b/evadb/utils/generic_utils.py
@@ -581,6 +581,16 @@ def try_to_import_chromadb_client():
         )
 
 
+def try_to_import_milvus_client():
+    try:
+        import pymilvus  # noqa: F401
+    except ImportError:
+        raise ValueError(
+            """Could not import pymilvus python package.
+                Please install it with 'pip install pymilvus`."""
+        )
+
+
 def is_qdrant_available() -> bool:
     try:
         try_to_import_qdrant_client()
@@ -605,6 +615,14 @@ def is_chromadb_available() -> bool:
         return False
 
 
+def is_milvus_available() -> bool:
+    try:
+        try_to_import_milvus_client()
+        return True
+    except ValueError:
+        return False
+
+
 ##############################
 ## UTILS
 ##############################
diff --git a/script/formatting/spelling.txt b/script/formatting/spelling.txt
index 35cdf845b1..bfc494c945 100644
--- a/script/formatting/spelling.txt
+++ b/script/formatting/spelling.txt
@@ -551,6 +551,11 @@ MaxPool
 MemeImages
 MemoTest
 MetaData
+MILVUS
+Milvus
+Milvus's
+MilvusClient
+MilvusVectorStore
 MindsDB
 MiniLM
 MnistImageClassifier
@@ -1402,6 +1407,7 @@ memeimages
 metaclass
 metafile
 metainfo
+milvus
 mindsdb
 miniconda
 mins
@@ -1526,6 +1532,7 @@ ptype
 pushdown
 px
 py
+pymilvus
 pymupdfs
 pypi
 pypirc
@@ -1655,6 +1662,7 @@ testCreateIndexName
 testDeleteOne
 testFaissIndexImageDataset
 testFaissIndexScanRewrite
+testMilvusIndexImageDataset
 testIndex
 testIndexAutoUpdate
 testOpenTable
diff --git a/setup.py b/setup.py
index a18796d847..ae5d6fdbb4 100644
--- a/setup.py
+++ b/setup.py
@@ -112,6 +112,8 @@ def read(path, encoding="utf-8"):
 
 chromadb_libs = ["chromadb"]
 
+milvus_libs = ["pymilvus>=2.3.0"]
+
 postgres_libs = [
     "psycopg2",
 ]
@@ -123,8 +125,8 @@ def read(path, encoding="utf-8"):
 xgboost_libs = ["flaml[automl]"]
 
 forecasting_libs = [
-    "statsforecast", # MODEL TRAIN AND FINE TUNING
-    "neuralforecast" # MODEL TRAIN AND FINE TUNING
+    "statsforecast",  # MODEL TRAIN AND FINE TUNING
+    "neuralforecast",  # MODEL TRAIN AND FINE TUNING
 ]
 
 imagegen_libs = [
@@ -168,6 +170,7 @@ def read(path, encoding="utf-8"):
     "qdrant": qdrant_libs,
     "pinecone": pinecone_libs,
     "chromadb": chromadb_libs,
+    "milvus": milvus_libs,
     "postgres": postgres_libs,
     "ludwig": ludwig_libs,
     "sklearn": sklearn_libs,
diff --git a/test/integration_tests/long/test_similarity.py b/test/integration_tests/long/test_similarity.py
index 35f70948f8..15a0b087dc 100644
--- a/test/integration_tests/long/test_similarity.py
+++ b/test/integration_tests/long/test_similarity.py
@@ -15,7 +15,12 @@
 import os
 import time
 import unittest
-from test.markers import chromadb_skip_marker, pinecone_skip_marker, qdrant_skip_marker
+from test.markers import (
+    chromadb_skip_marker,
+    milvus_skip_marker,
+    pinecone_skip_marker,
+    qdrant_skip_marker,
+)
 from test.util import (
     create_sample_image,
     get_evadb_for_testing,
@@ -130,6 +135,13 @@ def setUp(self):
         os.environ["PINECONE_API_KEY"] = "657e4fae-7208-4555-b0f2-9847dfa5b818"
         os.environ["PINECONE_ENV"] = "gcp-starter"
 
+        self.original_milvus_uri = os.environ.get("MILVUS_URI")
+        self.original_milvus_db_name = os.environ.get("MILVUS_DB_NAME")
+
+        os.environ["MILVUS_URI"] = "http://localhost:19530"
+        # use default Milvus database for testing
+        os.environ["MILVUS_DB_NAME"] = "default"
+
     def tearDown(self):
         shutdown_ray()
 
@@ -148,6 +160,14 @@ def tearDown(self):
             os.environ["PINECONE_ENV"] = self.original_pinecone_env
         else:
             del os.environ["PINECONE_ENV"]
+        if self.original_milvus_uri:
+            os.environ["MILVUS_URI"] = self.original_milvus_uri
+        else:
+            del os.environ["MILVUS_URI"]
+        if self.original_milvus_db_name:
+            os.environ["MILVUS_DB_NAME"] = self.original_milvus_db_name
+        else:
+            del os.environ["MILVUS_DB_NAME"]
 
     def test_similarity_should_work_in_order(self):
         ###############################################
@@ -523,3 +543,33 @@ def test_end_to_end_index_scan_should_work_correctly_on_image_dataset_pinecone(
 
             drop_index_query = "DROP INDEX testpineconeindeximagedataset;"
             execute_query_fetch_all(self.evadb, drop_index_query)
+
+    @pytest.mark.skip(reason="Requires running local Milvus instance")
+    @milvus_skip_marker
+    def test_end_to_end_index_scan_should_work_correctly_on_image_dataset_milvus(
+        self,
+    ):
+        for _ in range(2):
+            create_index_query = """CREATE INDEX testMilvusIndexImageDataset
+                                    ON testSimilarityImageDataset (DummyFeatureExtractor(data))
+                                    USING MILVUS;"""
+            execute_query_fetch_all(self.evadb, create_index_query)
+
+            select_query = """SELECT _row_id FROM testSimilarityImageDataset
+                                ORDER BY Similarity(DummyFeatureExtractor(Open("{}")), DummyFeatureExtractor(data))
+                                LIMIT 1;""".format(
+                self.img_path
+            )
+            explain_batch = execute_query_fetch_all(
+                self.evadb, f"EXPLAIN {select_query}"
+            )
+            self.assertTrue("VectorIndexScan" in explain_batch.frames[0][0])
+
+            res_batch = execute_query_fetch_all(self.evadb, select_query)
+            self.assertEqual(
+                res_batch.frames["testsimilarityimagedataset._row_id"][0], 5
+            )
+
+            # Cleanup
+            drop_query = "DROP INDEX testMilvusIndexImageDataset"
+            execute_query_fetch_all(self.evadb, drop_query)
diff --git a/test/markers.py b/test/markers.py
index 3e95c1cfff..6fdd2ad3c7 100644
--- a/test/markers.py
+++ b/test/markers.py
@@ -23,6 +23,7 @@
     is_forecast_available,
     is_gpu_available,
     is_ludwig_available,
+    is_milvus_available,
     is_pinecone_available,
     is_qdrant_available,
     is_replicate_available,
@@ -49,6 +50,11 @@
     reason="Skipping since chromadb is not installed",
 )
 
+milvus_skip_marker = pytest.mark.skipif(
+    is_milvus_available() is False,
+    reason="Skipping since pymilvus is not installed",
+)
+
 windows_skip_marker = pytest.mark.skipif(
     sys.platform == "win32", reason="Test case not supported on Windows"
 )

From 7c44d98edd1eff2852b9fd9f5fbf9176cdd5702a Mon Sep 17 00:00:00 2001
From: jineetd <35962652+jineetd@users.noreply.github.com>
Date: Fri, 27 Oct 2023 02:59:19 -0400
Subject: [PATCH 28/64] Adding colab notebook for XGBoost Regression and
 Classification (#1316)

Example notebook added for XGBoost regression and classification.

---------

Co-authored-by: Jineet Desai <jdesai61@gatech.edu>
---
 tutorials/17-home-rental-prediction.ipynb     | 3299 ++++++-----------
 ...9-employee-classification-prediction.ipynb | 3264 ++++++++++++++++
 2 files changed, 4317 insertions(+), 2246 deletions(-)
 create mode 100644 tutorials/19-employee-classification-prediction.ipynb

diff --git a/tutorials/17-home-rental-prediction.ipynb b/tutorials/17-home-rental-prediction.ipynb
index 6339d9147c..8821bd5694 100644
--- a/tutorials/17-home-rental-prediction.ipynb
+++ b/tutorials/17-home-rental-prediction.ipynb
@@ -49,29 +49,28 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "Z7PodOEEEDsQ",
-        "outputId": "ded8b9eb-acaa-4c29-cdc7-1aa9819ba1e9"
+        "outputId": "83265c05-b542-431b-900d-bb39a9ad53c6"
       },
       "outputs": [
         {
-          "name": "stdout",
           "output_type": "stream",
+          "name": "stdout",
           "text": [
             "The following additional packages will be installed:\n",
-            "  libcommon-sense-perl libjson-perl libjson-xs-perl libtypes-serialiser-perl\n",
-            "  logrotate netbase postgresql-14 postgresql-client-14\n",
-            "  postgresql-client-common postgresql-common ssl-cert sysstat\n",
+            "  libcommon-sense-perl libjson-perl libjson-xs-perl libtypes-serialiser-perl logrotate netbase\n",
+            "  postgresql-14 postgresql-client-14 postgresql-client-common postgresql-common ssl-cert sysstat\n",
             "Suggested packages:\n",
             "  bsd-mailx | mailx postgresql-doc postgresql-doc-14 isag\n",
             "The following NEW packages will be installed:\n",
-            "  libcommon-sense-perl libjson-perl libjson-xs-perl libtypes-serialiser-perl\n",
-            "  logrotate netbase postgresql postgresql-14 postgresql-client-14\n",
-            "  postgresql-client-common postgresql-common ssl-cert sysstat\n",
-            "0 upgraded, 13 newly installed, 0 to remove and 18 not upgraded.\n",
+            "  libcommon-sense-perl libjson-perl libjson-xs-perl libtypes-serialiser-perl logrotate netbase\n",
+            "  postgresql postgresql-14 postgresql-client-14 postgresql-client-common postgresql-common ssl-cert\n",
+            "  sysstat\n",
+            "0 upgraded, 13 newly installed, 0 to remove and 19 not upgraded.\n",
             "Need to get 18.3 MB of archives.\n",
             "After this operation, 51.5 MB of additional disk space will be used.\n",
             "Preconfiguring packages ...\n",
             "Selecting previously unselected package logrotate.\n",
-            "(Reading database ... 120901 files and directories currently installed.)\n",
+            "(Reading database ... 120874 files and directories currently installed.)\n",
             "Preparing to unpack .../00-logrotate_3.19.0-1ubuntu1.1_amd64.deb ...\n",
             "Unpacking logrotate (3.19.0-1ubuntu1.1) ...\n",
             "Selecting previously unselected package netbase.\n",
@@ -184,18 +183,18 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 2,
+      "execution_count": 8,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
         "id": "UrlfWZOkEa4V",
-        "outputId": "834c5adc-6fd4-46da-c24c-58e326b94c21"
+        "outputId": "477a18d7-93cf-432b-bbea-0115f9f48454"
       },
       "outputs": [
         {
-          "name": "stdout",
           "output_type": "stream",
+          "name": "stdout",
           "text": [
             "CREATE ROLE\n",
             "CREATE DATABASE\n"
@@ -218,7 +217,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 3,
+      "execution_count": 9,
       "metadata": {
         "id": "EZf65ZkcFIX7"
       },
@@ -245,17 +244,13 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 4,
+      "execution_count": 10,
       "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "NoAykveeElqm",
-        "outputId": "5d8a018f-6b5b-433e-c198-8b225f588f76"
+        "id": "NoAykveeElqm"
       },
       "outputs": [],
       "source": [
-        "%pip install --quiet \"evadb[postgres,ludwig]\"\n",
+        "%pip install --quiet \"evadb[postgres,xgboost,ludwig]\"\n",
         "\n",
         "import evadb\n",
         "cursor = evadb.connect().cursor()"
@@ -282,20 +277,27 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 6,
+      "execution_count": 11,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 81
+          "height": 80
         },
         "id": "IsP6rLZ2Ftxo",
-        "outputId": "4ce63373-05ea-4291-c22c-effc581f7045"
+        "outputId": "84a41fb6-5f1f-4d7c-e219-f08a2e73b088"
       },
       "outputs": [
         {
+          "output_type": "execute_result",
           "data": {
+            "text/plain": [
+              "                                                   0\n",
+              "0  The database postgres_data has been successful..."
+            ],
             "text/html": [
-              "<div>\n",
+              "\n",
+              "  <div id=\"df-91ffca60-bfcf-4e4b-ad03-1c7ff0f85bc6\" class=\"colab-df-container\">\n",
+              "    <div>\n",
               "<style scoped>\n",
               "    .dataframe tbody tr th:only-of-type {\n",
               "        vertical-align: middle;\n",
@@ -323,16 +325,92 @@
               "    </tr>\n",
               "  </tbody>\n",
               "</table>\n",
-              "</div>"
-            ],
-            "text/plain": [
-              "                                                   0\n",
-              "0  The database postgres_data has been successful..."
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-91ffca60-bfcf-4e4b-ad03-1c7ff0f85bc6')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-91ffca60-bfcf-4e4b-ad03-1c7ff0f85bc6 button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-91ffca60-bfcf-4e4b-ad03-1c7ff0f85bc6');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
             ]
           },
-          "execution_count": 6,
           "metadata": {},
-          "output_type": "execute_result"
+          "execution_count": 11
         }
       ],
       "source": [
@@ -360,11 +438,38 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 12,
       "metadata": {
-        "id": "msbHcP_xJpFV"
+        "id": "msbHcP_xJpFV",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "outputId": "0eca67d7-e820-42ed-941e-9ca38ceade76"
       },
-      "outputs": [],
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "--2023-10-26 18:33:10--  https://www.dropbox.com/scl/fi/gy2682i66a8l2tqsowm5x/home_rentals.csv?rlkey=e080k02rv5205h4ullfjdr8lw\n",
+            "Resolving www.dropbox.com (www.dropbox.com)... 162.125.3.18, 2620:100:6018:18::a27d:312\n",
+            "Connecting to www.dropbox.com (www.dropbox.com)|162.125.3.18|:443... connected.\n",
+            "HTTP request sent, awaiting response... 302 Found\n",
+            "Location: https://uc8d990fb5d1437b8351f26de88a.dl.dropboxusercontent.com/cd/0/inline/CGVkpQp8MQys_mL2iZ4WZL0mLTIryv1kHm9c6YlkGomsP279V5incJvOz05jfx5oqY0zKLKoMNcksLTrXBuk3MgOYSnfeHIjuKAzyWM5fZKfHS1qfV9_8EQsi--9jZx53LFu_MvgxiKWMys7t4DrWF_1/file# [following]\n",
+            "--2023-10-26 18:33:11--  https://uc8d990fb5d1437b8351f26de88a.dl.dropboxusercontent.com/cd/0/inline/CGVkpQp8MQys_mL2iZ4WZL0mLTIryv1kHm9c6YlkGomsP279V5incJvOz05jfx5oqY0zKLKoMNcksLTrXBuk3MgOYSnfeHIjuKAzyWM5fZKfHS1qfV9_8EQsi--9jZx53LFu_MvgxiKWMys7t4DrWF_1/file\n",
+            "Resolving uc8d990fb5d1437b8351f26de88a.dl.dropboxusercontent.com (uc8d990fb5d1437b8351f26de88a.dl.dropboxusercontent.com)... 162.125.3.15, 2620:100:601b:15::a27d:80f\n",
+            "Connecting to uc8d990fb5d1437b8351f26de88a.dl.dropboxusercontent.com (uc8d990fb5d1437b8351f26de88a.dl.dropboxusercontent.com)|162.125.3.15|:443... connected.\n",
+            "HTTP request sent, awaiting response... 200 OK\n",
+            "Length: 204532 (200K) [text/plain]\n",
+            "Saving to: ‘/content/home_rentals.csv’\n",
+            "\n",
+            "/content/home_renta 100%[===================>] 199.74K  --.-KB/s    in 0.04s   \n",
+            "\n",
+            "2023-10-26 18:33:11 (4.91 MB/s) - ‘/content/home_rentals.csv’ saved [204532/204532]\n",
+            "\n"
+          ]
+        }
+      ],
       "source": [
         "!mkdir -p content\n",
         "!wget -nc -O /content/home_rentals.csv https://www.dropbox.com/scl/fi/gy2682i66a8l2tqsowm5x/home_rentals.csv?rlkey=e080k02rv5205h4ullfjdr8lw&raw=1"
@@ -372,20 +477,27 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 8,
+      "execution_count": 13,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 81
+          "height": 80
         },
         "id": "MhYfovbzNB-k",
-        "outputId": "5f44b882-b29b-4eb1-e8b5-e2f9ae3c2ce5"
+        "outputId": "3b453405-f0dd-47d9-b867-3d552cdeebff"
       },
       "outputs": [
         {
+          "output_type": "execute_result",
           "data": {
+            "text/plain": [
+              "    status\n",
+              "0  success"
+            ],
             "text/html": [
-              "<div>\n",
+              "\n",
+              "  <div id=\"df-856ca5aa-70e5-4093-bef1-aad5bf9fea1a\" class=\"colab-df-container\">\n",
+              "    <div>\n",
               "<style scoped>\n",
               "    .dataframe tbody tr th:only-of-type {\n",
               "        vertical-align: middle;\n",
@@ -413,16 +525,92 @@
               "    </tr>\n",
               "  </tbody>\n",
               "</table>\n",
-              "</div>"
-            ],
-            "text/plain": [
-              "    status\n",
-              "0  success"
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-856ca5aa-70e5-4093-bef1-aad5bf9fea1a')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-856ca5aa-70e5-4093-bef1-aad5bf9fea1a button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-856ca5aa-70e5-4093-bef1-aad5bf9fea1a');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
             ]
           },
-          "execution_count": 8,
           "metadata": {},
-          "output_type": "execute_result"
+          "execution_count": 13
         }
       ],
       "source": [
@@ -444,20 +632,27 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 27,
+      "execution_count": 14,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 81
+          "height": 80
         },
         "id": "OH8Fxn0SNYO3",
-        "outputId": "2d4a61ab-5569-4ed5-fa2b-79953e26b4a8"
+        "outputId": "06825af6-9feb-4949-ee7a-73891f4487c4"
       },
       "outputs": [
         {
+          "output_type": "execute_result",
           "data": {
+            "text/plain": [
+              "    status\n",
+              "0  success"
+            ],
             "text/html": [
-              "<div>\n",
+              "\n",
+              "  <div id=\"df-5a3961cf-cc34-4e8f-83a3-41ceaca92b1b\" class=\"colab-df-container\">\n",
+              "    <div>\n",
               "<style scoped>\n",
               "    .dataframe tbody tr th:only-of-type {\n",
               "        vertical-align: middle;\n",
@@ -485,72 +680,152 @@
               "    </tr>\n",
               "  </tbody>\n",
               "</table>\n",
-              "</div>"
-            ],
-            "text/plain": [
-              "    status\n",
-              "0  success"
-            ]
-          },
-          "execution_count": 27,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "cursor.query(\"\"\"\n",
-        "  USE postgres_data {\n",
-        "    COPY home_rentals(number_of_rooms, number_of_bathrooms, sqft, location, days_on_market, initial_price, neighborhood, rental_price)\n",
-        "    FROM '/content/home_rentals.csv'\n",
-        "    DELIMITER ',' CSV HEADER\n",
-        "  }\n",
-        "\"\"\").df()"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "vKXHBLtxNsbg"
-      },
-      "source": [
-        "### Preview the Data\n"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "HSj_2sif8uEX"
-      },
-      "source": [
-        "Within the home_rentals table, there are 8 columns at our disposal. Our objective is to utilize the remaining 7 columns to make predictions for the rental_price."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 26,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 163
-        },
-        "id": "20_IEby7N1Pe",
-        "outputId": "4978441a-2589-435a-8b1f-40ee5c96943a"
-      },
-      "outputs": [
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "/nethome/gkakkar7/VAST/evadb/evadb_310/lib/python3.10/site-packages/evadb/third_party/databases/postgres/postgres_handler.py:92: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n",
-            "  tables_df = pd.read_sql_query(query, self.connection)\n",
-            "/nethome/gkakkar7/VAST/evadb/evadb_310/lib/python3.10/site-packages/evadb/third_party/databases/postgres/postgres_handler.py:110: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n",
-            "  columns_df = pd.read_sql_query(query, self.connection)\n"
-          ]
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5a3961cf-cc34-4e8f-83a3-41ceaca92b1b')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-5a3961cf-cc34-4e8f-83a3-41ceaca92b1b button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-5a3961cf-cc34-4e8f-83a3-41ceaca92b1b');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 14
+        }
+      ],
+      "source": [
+        "cursor.query(\"\"\"\n",
+        "  USE postgres_data {\n",
+        "    COPY home_rentals(number_of_rooms, number_of_bathrooms, sqft, location, days_on_market, initial_price, neighborhood, rental_price)\n",
+        "    FROM '/content/home_rentals.csv'\n",
+        "    DELIMITER ',' CSV HEADER\n",
+        "  }\n",
+        "\"\"\").df()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "vKXHBLtxNsbg"
+      },
+      "source": [
+        "### Preview the Data\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "HSj_2sif8uEX"
+      },
+      "source": [
+        "Within the home_rentals table, there are 8 columns at our disposal. Our objective is to utilize the remaining 7 columns to make predictions for the rental_price."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 17,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 142
         },
+        "id": "20_IEby7N1Pe",
+        "outputId": "9fd8bcfb-2be7-4f59-e4c2-812c91a6a325"
+      },
+      "outputs": [
         {
+          "output_type": "execute_result",
           "data": {
+            "text/plain": [
+              "   rental_price  number_of_bathrooms  sqft  initial_price  number_of_rooms  \\\n",
+              "0        2167.0                    1   674           2167                1   \n",
+              "1        1883.0                    1   554           1883                1   \n",
+              "2        2431.0                    1   529           2431                0   \n",
+              "\n",
+              "   days_on_market location neighborhood  \n",
+              "0               1     good     downtown  \n",
+              "1              19     poor     westbrae  \n",
+              "2               3    great   south_side  "
+            ],
             "text/html": [
-              "<div>\n",
+              "\n",
+              "  <div id=\"df-e2385a39-e37b-4af2-8541-796a2d8eb033\" class=\"colab-df-container\">\n",
+              "    <div>\n",
               "<style scoped>\n",
               "    .dataframe tbody tr th:only-of-type {\n",
               "        vertical-align: middle;\n",
@@ -568,516 +843,635 @@
               "  <thead>\n",
               "    <tr style=\"text-align: right;\">\n",
               "      <th></th>\n",
-              "      <th>home_rentals.number_of_rooms</th>\n",
-              "      <th>home_rentals.number_of_bathrooms</th>\n",
-              "      <th>home_rentals.sqft</th>\n",
-              "      <th>home_rentals.location</th>\n",
-              "      <th>home_rentals.days_on_market</th>\n",
-              "      <th>home_rentals.initial_price</th>\n",
-              "      <th>home_rentals.neighborhood</th>\n",
-              "      <th>home_rentals.rental_price</th>\n",
+              "      <th>rental_price</th>\n",
+              "      <th>number_of_bathrooms</th>\n",
+              "      <th>sqft</th>\n",
+              "      <th>initial_price</th>\n",
+              "      <th>number_of_rooms</th>\n",
+              "      <th>days_on_market</th>\n",
+              "      <th>location</th>\n",
+              "      <th>neighborhood</th>\n",
               "    </tr>\n",
               "  </thead>\n",
               "  <tbody>\n",
               "    <tr>\n",
               "      <th>0</th>\n",
-              "      <td>1</td>\n",
+              "      <td>2167.0</td>\n",
               "      <td>1</td>\n",
               "      <td>674</td>\n",
-              "      <td>good</td>\n",
-              "      <td>1</td>\n",
               "      <td>2167</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>good</td>\n",
               "      <td>downtown</td>\n",
-              "      <td>2167.0</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>1</th>\n",
-              "      <td>1</td>\n",
+              "      <td>1883.0</td>\n",
               "      <td>1</td>\n",
               "      <td>554</td>\n",
-              "      <td>poor</td>\n",
-              "      <td>19</td>\n",
               "      <td>1883</td>\n",
+              "      <td>1</td>\n",
+              "      <td>19</td>\n",
+              "      <td>poor</td>\n",
               "      <td>westbrae</td>\n",
-              "      <td>1883.0</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>2</th>\n",
-              "      <td>0</td>\n",
+              "      <td>2431.0</td>\n",
               "      <td>1</td>\n",
               "      <td>529</td>\n",
-              "      <td>great</td>\n",
-              "      <td>3</td>\n",
               "      <td>2431</td>\n",
+              "      <td>0</td>\n",
+              "      <td>3</td>\n",
+              "      <td>great</td>\n",
               "      <td>south_side</td>\n",
-              "      <td>2431.0</td>\n",
               "    </tr>\n",
               "  </tbody>\n",
               "</table>\n",
-              "</div>"
-            ],
-            "text/plain": [
-              "   home_rentals.number_of_rooms  home_rentals.number_of_bathrooms  \\\n",
-              "0                             1                                 1   \n",
-              "1                             1                                 1   \n",
-              "2                             0                                 1   \n",
-              "\n",
-              "   home_rentals.sqft home_rentals.location  home_rentals.days_on_market  \\\n",
-              "0                674                  good                            1   \n",
-              "1                554                  poor                           19   \n",
-              "2                529                 great                            3   \n",
-              "\n",
-              "   home_rentals.initial_price home_rentals.neighborhood  \\\n",
-              "0                        2167                  downtown   \n",
-              "1                        1883                  westbrae   \n",
-              "2                        2431                south_side   \n",
-              "\n",
-              "   home_rentals.rental_price  \n",
-              "0                     2167.0  \n",
-              "1                     1883.0  \n",
-              "2                     2431.0  "
-            ]
-          },
-          "execution_count": 26,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "cursor.query(\"SELECT * FROM postgres_data.home_rentals LIMIT 3;\").df()"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "7DX411TFO-Lp"
-      },
-      "source": [
-        "## Training Model\n",
-        "\n",
-        "Next, we employ EvaDB to facilitate the training of an ML model, which will enable us to predict `home rental prices`."
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "hoLzadFlPOvh"
-      },
-      "source": [
-        "### Train the prediction Model\n",
-        "For this purpose, we harness the capabilities of the [ludwig](https://ludwig.ai/latest/) engine to train our prediction model. We employ the `automl` feature to automatically determine the optimal hyperparameters. Keep in mind that `TIME_LIMIT` specifies the time budget allocated for the training process."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 18,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 1000
-        },
-        "id": "IFstPBI8UINv",
-        "outputId": "547e822d-e113-4075-f712-8f9bacdb32bd"
-      },
-      "outputs": [
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "Analyzing fields: 100%|██████████| 8/8 [00:00<00:00, 328.58it/s]\n"
-          ]
-        },
-        {
-          "data": {
-            "text/html": [
-              "<div class=\"tuneStatus\">\n",
-              "  <div style=\"display: flex;flex-direction: row\">\n",
-              "    <div style=\"display: flex;flex-direction: column;\">\n",
-              "      <h3>Tune Status</h3>\n",
-              "      <table>\n",
-              "<tbody>\n",
-              "<tr><td>Current time:</td><td>2023-09-19 08:38:34</td></tr>\n",
-              "<tr><td>Running for: </td><td>00:27:42.94        </td></tr>\n",
-              "<tr><td>Memory:      </td><td>3.8/12.7 GiB       </td></tr>\n",
-              "</tbody>\n",
-              "</table>\n",
-              "    </div>\n",
-              "    <div class=\"vDivider\"></div>\n",
-              "    <div class=\"systemInfo\">\n",
-              "      <h3>System Info</h3>\n",
-              "      Using AsyncHyperBand: num_stopped=9<br>Bracket: Iter 1800.000: None | Iter 360.000: -29926.4453125 | Iter 72.000: -9882174.0<br>Logical resource usage: 0/2 CPUs, 0/0 GPUs\n",
-              "    </div>\n",
-              "    \n",
-              "  </div>\n",
-              "  <div class=\"hDivider\"></div>\n",
-              "  <div class=\"trialStatus\">\n",
-              "    <h3>Trial Status</h3>\n",
-              "    <table>\n",
-              "<thead>\n",
-              "<tr><th>Trial name    </th><th>status    </th><th>loc              </th><th style=\"text-align: right;\">  combiner.bn_momentum</th><th style=\"text-align: right;\">     combiner.bn_virtual_\n",
-              "bs</th><th style=\"text-align: right;\">  combiner.num_steps</th><th style=\"text-align: right;\">  combiner.output_size</th><th style=\"text-align: right;\">    combiner.relaxation_\n",
-              "factor</th><th style=\"text-align: right;\">  combiner.size</th><th style=\"text-align: right;\">  combiner.sparsity</th><th style=\"text-align: right;\">            trainer.learning_rat\n",
-              "e</th><th style=\"text-align: right;\">     ...er.learning_rate_\n",
-              "scheduler.decay_rate</th><th style=\"text-align: right;\">      ...r.learning_rate_s\n",
-              "cheduler.decay_steps</th><th style=\"text-align: right;\">  iter</th><th style=\"text-align: right;\">  total time (s)</th><th style=\"text-align: right;\">   metric_score</th></tr>\n",
-              "</thead>\n",
-              "<tbody>\n",
-              "<tr><td>trial_67950dc7</td><td>TERMINATED</td><td>172.28.0.12:9427 </td><td style=\"text-align: right;\">                  0.3 </td><td style=\"text-align: right;\">2048</td><td style=\"text-align: right;\">                   4</td><td style=\"text-align: right;\">                     8</td><td style=\"text-align: right;\">1  </td><td style=\"text-align: right;\">             32</td><td style=\"text-align: right;\">             0.0001</td><td style=\"text-align: right;\">0.000799724</td><td style=\"text-align: right;\">0.8 </td><td style=\"text-align: right;\">20000</td><td style=\"text-align: right;\">   101</td><td style=\"text-align: right;\">       1632.75  </td><td style=\"text-align: right;\"> 6498.99       </td></tr>\n",
-              "<tr><td>trial_195d8e2b</td><td>TERMINATED</td><td>172.28.0.12:9590 </td><td style=\"text-align: right;\">                  0.2 </td><td style=\"text-align: right;\"> 256</td><td style=\"text-align: right;\">                   9</td><td style=\"text-align: right;\">                   128</td><td style=\"text-align: right;\">1  </td><td style=\"text-align: right;\">             32</td><td style=\"text-align: right;\">             0     </td><td style=\"text-align: right;\">0.000174588</td><td style=\"text-align: right;\">0.95</td><td style=\"text-align: right;\">  500</td><td style=\"text-align: right;\">    19</td><td style=\"text-align: right;\">        377.944 </td><td style=\"text-align: right;\">63213.9        </td></tr>\n",
-              "<tr><td>trial_6d1af501</td><td>TERMINATED</td><td>172.28.0.12:11510</td><td style=\"text-align: right;\">                  0.02</td><td style=\"text-align: right;\">1024</td><td style=\"text-align: right;\">                   3</td><td style=\"text-align: right;\">                     8</td><td style=\"text-align: right;\">1  </td><td style=\"text-align: right;\">              8</td><td style=\"text-align: right;\">             1e-06 </td><td style=\"text-align: right;\">0.000140605</td><td style=\"text-align: right;\">0.8 </td><td style=\"text-align: right;\">  500</td><td style=\"text-align: right;\">    21</td><td style=\"text-align: right;\">         72.225 </td><td style=\"text-align: right;\">    1.01709e+07</td></tr>\n",
-              "<tr><td>trial_4f495e16</td><td>TERMINATED</td><td>172.28.0.12:12068</td><td style=\"text-align: right;\">                  0.2 </td><td style=\"text-align: right;\">1024</td><td style=\"text-align: right;\">                   7</td><td style=\"text-align: right;\">                    24</td><td style=\"text-align: right;\">2  </td><td style=\"text-align: right;\">              8</td><td style=\"text-align: right;\">             0.001 </td><td style=\"text-align: right;\">3.67484e-05</td><td style=\"text-align: right;\">0.95</td><td style=\"text-align: right;\"> 2000</td><td style=\"text-align: right;\">    12</td><td style=\"text-align: right;\">         72.6911</td><td style=\"text-align: right;\">    1.02052e+07</td></tr>\n",
-              "<tr><td>trial_0d6e88be</td><td>TERMINATED</td><td>172.28.0.12:12568</td><td style=\"text-align: right;\">                  0.1 </td><td style=\"text-align: right;\"> 256</td><td style=\"text-align: right;\">                   5</td><td style=\"text-align: right;\">                    64</td><td style=\"text-align: right;\">1.5</td><td style=\"text-align: right;\">             64</td><td style=\"text-align: right;\">             0.0001</td><td style=\"text-align: right;\">6.27954e-05</td><td style=\"text-align: right;\">0.95</td><td style=\"text-align: right;\">  500</td><td style=\"text-align: right;\">    10</td><td style=\"text-align: right;\">         73.8299</td><td style=\"text-align: right;\">    1.00366e+07</td></tr>\n",
-              "<tr><td>trial_b4945d5b</td><td>TERMINATED</td><td>172.28.0.12:13088</td><td style=\"text-align: right;\">                  0.4 </td><td style=\"text-align: right;\"> 256</td><td style=\"text-align: right;\">                   3</td><td style=\"text-align: right;\">                    16</td><td style=\"text-align: right;\">1.2</td><td style=\"text-align: right;\">             16</td><td style=\"text-align: right;\">             0.01  </td><td style=\"text-align: right;\">0.000120926</td><td style=\"text-align: right;\">0.9 </td><td style=\"text-align: right;\">  500</td><td style=\"text-align: right;\">    19</td><td style=\"text-align: right;\">         72.8787</td><td style=\"text-align: right;\">    1.01471e+07</td></tr>\n",
-              "<tr><td>trial_630f6d97</td><td>TERMINATED</td><td>172.28.0.12:13648</td><td style=\"text-align: right;\">                  0.4 </td><td style=\"text-align: right;\"> 512</td><td style=\"text-align: right;\">                   5</td><td style=\"text-align: right;\">                    32</td><td style=\"text-align: right;\">2  </td><td style=\"text-align: right;\">              8</td><td style=\"text-align: right;\">             0     </td><td style=\"text-align: right;\">0.00014451 </td><td style=\"text-align: right;\">0.9 </td><td style=\"text-align: right;\">10000</td><td style=\"text-align: right;\">    14</td><td style=\"text-align: right;\">         74.1979</td><td style=\"text-align: right;\">    1.0115e+07 </td></tr>\n",
-              "<tr><td>trial_37845ee9</td><td>TERMINATED</td><td>172.28.0.12:14171</td><td style=\"text-align: right;\">                  0.1 </td><td style=\"text-align: right;\">4096</td><td style=\"text-align: right;\">                   7</td><td style=\"text-align: right;\">                    24</td><td style=\"text-align: right;\">1.5</td><td style=\"text-align: right;\">             64</td><td style=\"text-align: right;\">             0     </td><td style=\"text-align: right;\">3.27468e-05</td><td style=\"text-align: right;\">0.95</td><td style=\"text-align: right;\"> 8000</td><td style=\"text-align: right;\">     2</td><td style=\"text-align: right;\">         78.3225</td><td style=\"text-align: right;\">    1.02121e+07</td></tr>\n",
-              "<tr><td>trial_60d6faae</td><td>TERMINATED</td><td>172.28.0.12:14699</td><td style=\"text-align: right;\">                  0.2 </td><td style=\"text-align: right;\"> 256</td><td style=\"text-align: right;\">                   3</td><td style=\"text-align: right;\">                    16</td><td style=\"text-align: right;\">1.2</td><td style=\"text-align: right;\">             64</td><td style=\"text-align: right;\">             0.001 </td><td style=\"text-align: right;\">0.0003595  </td><td style=\"text-align: right;\">0.8 </td><td style=\"text-align: right;\">  500</td><td style=\"text-align: right;\">    15</td><td style=\"text-align: right;\">         73.4098</td><td style=\"text-align: right;\">    9.98867e+06</td></tr>\n",
-              "<tr><td>trial_d77a5970</td><td>TERMINATED</td><td>172.28.0.12:15203</td><td style=\"text-align: right;\">                  0.2 </td><td style=\"text-align: right;\"> 512</td><td style=\"text-align: right;\">                   9</td><td style=\"text-align: right;\">                    16</td><td style=\"text-align: right;\">1  </td><td style=\"text-align: right;\">             24</td><td style=\"text-align: right;\">             0.001 </td><td style=\"text-align: right;\">2.19031e-05</td><td style=\"text-align: right;\">0.9 </td><td style=\"text-align: right;\">10000</td><td style=\"text-align: right;\">     8</td><td style=\"text-align: right;\">         72.1549</td><td style=\"text-align: right;\">    1.02182e+07</td></tr>\n",
-              "</tbody>\n",
-              "</table>\n",
-              "  </div>\n",
-              "</div>\n",
-              "<style>\n",
-              ".tuneStatus {\n",
-              "  color: var(--jp-ui-font-color1);\n",
-              "}\n",
-              ".tuneStatus .systemInfo {\n",
-              "  display: flex;\n",
-              "  flex-direction: column;\n",
-              "}\n",
-              ".tuneStatus td {\n",
-              "  white-space: nowrap;\n",
-              "}\n",
-              ".tuneStatus .trialStatus {\n",
-              "  display: flex;\n",
-              "  flex-direction: column;\n",
-              "}\n",
-              ".tuneStatus h3 {\n",
-              "  font-weight: bold;\n",
-              "}\n",
-              ".tuneStatus .hDivider {\n",
-              "  border-bottom-width: var(--jp-border-width);\n",
-              "  border-bottom-color: var(--jp-border-color0);\n",
-              "  border-bottom-style: solid;\n",
-              "}\n",
-              ".tuneStatus .vDivider {\n",
-              "  border-left-width: var(--jp-border-width);\n",
-              "  border-left-color: var(--jp-border-color0);\n",
-              "  border-left-style: solid;\n",
-              "  margin: 0.5em 1em 0.5em 1em;\n",
-              "}\n",
-              "</style>\n"
-            ],
-            "text/plain": [
-              "<IPython.core.display.HTML object>"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        },
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(pid=9427)\u001b[0m 2023-09-19 08:11:04.568610: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n"
-          ]
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(pid=9427)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cpu.so: undefined symbol: cadam32bit_grad_fp32\n"
-          ]
-        },
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(pid=9427)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.\n",
-            "\u001b[2m\u001b[36m(pid=9427)\u001b[0m   warn(\"The installed version of bitsandbytes was compiled without GPU support. \"\n"
-          ]
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(pid=9427)\u001b[0m Created a temporary directory at /tmp/tmpog4p303_\n",
-            "\u001b[2m\u001b[36m(pid=9427)\u001b[0m Writing /tmp/tmpog4p303_/_remote_module_non_scriptable.py\n"
-          ]
-        },
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(run_experiment_trial pid=9427)\u001b[0m /usr/local/lib/python3.10/dist-packages/ludwig/schema/model_types/utils.py:238: UserWarning: Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\n",
-            "\u001b[2m\u001b[36m(run_experiment_trial pid=9427)\u001b[0m   warnings.warn(\"Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\")\n",
-            "\u001b[2m\u001b[36m(pid=9590)\u001b[0m 2023-09-19 08:11:44.098763: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n"
-          ]
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(pid=9590)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cpu.so: undefined symbol: cadam32bit_grad_fp32\n"
-          ]
-        },
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(pid=9590)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.\n",
-            "\u001b[2m\u001b[36m(pid=9590)\u001b[0m   warn(\"The installed version of bitsandbytes was compiled without GPU support. \"\n"
-          ]
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(pid=9590)\u001b[0m Created a temporary directory at /tmp/tmpmzu84_zy\n",
-            "\u001b[2m\u001b[36m(pid=9590)\u001b[0m Writing /tmp/tmpmzu84_zy/_remote_module_non_scriptable.py\n"
-          ]
-        },
-        {
-          "data": {
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-              "<div class=\"trialProgress\">\n",
-              "  <h3>Trial Progress</h3>\n",
-              "  <table>\n",
-              "<thead>\n",
-              "<tr><th>Trial name    </th><th>date               </th><th>done  </th><th>eval_stats                                                                                                                                                                                                                                                                                                                                                        </th><th>experiment_tag                                                                                                                                                                                                                                                                                                    </th><th>hostname    </th><th style=\"text-align: right;\">  iterations_since_restore</th><th style=\"text-align: right;\">   metric_score</th><th>node_ip    </th><th>parameters                                                                                                                                                                                                                                                                                                                                                     </th><th style=\"text-align: right;\">  pid</th><th style=\"text-align: right;\">  time_since_restore</th><th style=\"text-align: right;\">  time_this_iter_s</th><th style=\"text-align: right;\">  time_total_s</th><th style=\"text-align: right;\">  timestamp</th><th style=\"text-align: right;\">  training_iteration</th><th>training_stats                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     </th><th>trial_dir                                       </th><th>trial_id  </th></tr>\n",
-              "</thead>\n",
-              "<tbody>\n",
-              "<tr><td>trial_0d6e88be</td><td>2023-09-19_08-23-57</td><td>True  </td><td>{}                                                                                                                                                                                                                                                                                                                                                                </td><td>                                                                                                                                                                                                                                                                                                                  </td><td>46951c74a412</td><td style=\"text-align: right;\">                        10</td><td style=\"text-align: right;\">    1.00366e+07</td><td>172.28.0.12</td><td>{&quot;trainer.learning_rate&quot;: 6.279541845784063e-05, &quot;trainer.learning_rate_scheduler.decay_rate&quot;: 0.95, &quot;trainer.learning_rate_scheduler.decay_steps&quot;: 500, &quot;combiner.size&quot;: 64, &quot;combiner.output_size&quot;: 64, &quot;combiner.num_steps&quot;: 5, &quot;combiner.relaxation_factor&quot;: 1.5, &quot;combiner.sparsity&quot;: 0.0001, &quot;combiner.bn_virtual_bs&quot;: 256, &quot;combiner.bn_momentum&quot;: 0.1} </td><td style=\"text-align: right;\">12568</td><td style=\"text-align: right;\">             73.8299</td><td style=\"text-align: right;\">           4.21747</td><td style=\"text-align: right;\">       73.8299</td><td style=\"text-align: right;\"> 1695111837</td><td style=\"text-align: right;\">                  10</td><td>{&quot;training&quot;: {&quot;rental_price&quot;: {&quot;loss&quot;: [9804516.0, 9794729.0, 9783788.0, 9769066.0, 9753283.0, 9738886.0, 9723512.0, 9706178.0, 9683419.0, 9656061.0], &quot;mean_absolute_error&quot;: [2852.337158203125, 2850.80078125, 2849.161865234375, 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-              "<tr><td>trial_37845ee9</td><td>2023-09-19_08-29-31</td><td>True  </td><td>{}                                                                                                                                                                                                                                                                                                                                                                </td><td>                                                                                                                                                                                                                                                                                                                  </td><td>46951c74a412</td><td style=\"text-align: right;\">                         2</td><td style=\"text-align: right;\">    1.02121e+07</td><td>172.28.0.12</td><td>{&quot;trainer.learning_rate&quot;: 3.274683445747098e-05, 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&quot;trainer.learning_rate_scheduler.decay_rate&quot;: 0.9, &quot;trainer.learning_rate_scheduler.decay_steps&quot;: 10000, &quot;combiner.size&quot;: 24, &quot;combiner.output_size&quot;: 16, &quot;combiner.num_steps&quot;: 9, &quot;combiner.relaxation_factor&quot;: 1.0, &quot;combiner.sparsity&quot;: 0.001, &quot;combiner.bn_virtual_bs&quot;: 512, &quot;combiner.bn_momentum&quot;: 0.2}</td><td style=\"text-align: right;\">15203</td><td style=\"text-align: right;\">             72.1549</td><td style=\"text-align: right;\">           5.06661</td><td style=\"text-align: right;\">       72.1549</td><td style=\"text-align: right;\"> 1695112384</td><td style=\"text-align: right;\">                   8</td><td>{&quot;training&quot;: {&quot;rental_price&quot;: {&quot;loss&quot;: [9812456.0, 9811863.0, 9811264.0, 9810479.0, 9809972.0, 9809495.0, 9808723.0, 9808032.0], &quot;mean_absolute_error&quot;: [2853.71337890625, 2853.6201171875, 2853.516357421875, 2853.395263671875, 2853.30419921875, 2853.222412109375, 2853.095703125, 2852.999267578125], &quot;mean_absolute_percentage_error&quot;: [0.9999496936798096, 0.9999111890792847, 0.9998669624328613, 0.9998199343681335, 0.9997784495353699, 0.9997439980506897, 0.9996911287307739, 0.999658465385437], &quot;mean_squared_error&quot;: [9812455.0, 9811863.0, 9811262.0, 9810479.0, 9809972.0, 9809495.0, 9808723.0, 9808034.0], &quot;r2&quot;: [-4.87872314453125, -4.878368854522705, -4.878006458282471, -4.877527236938477, -4.877233505249023, -4.876943588256836, -4.876471042633057, -4.876058101654053], &quot;root_mean_squared_error&quot;: [3132.48388671875, 3132.389404296875, 3132.29345703125, 3132.16845703125, 3132.08740234375, 3132.01123046875, 3131.88818359375, 3131.778076171875], &quot;root_mean_squared_percentage_error&quot;: [0.9999494552612305, 0.999910295009613, 0.9998669028282166, 0.999819278717041, 0.9997779130935669, 0.9997438788414001, 0.9996908903121948, 0.9996588826179504]}, &quot;combined&quot;: {&quot;loss&quot;: [9805632.001453668, 9829352.001309926, 9826864.001243845, 9862214.001206191, 9803246.001179729, 9792032.00116336, 9797671.001150865, 9818985.001140928]}}, &quot;validation&quot;: {&quot;rental_price&quot;: {&quot;loss&quot;: [10222031.0, 10221934.0, 10221260.0, 10220446.0, 10219752.0, 10218801.0, 10218787.0, 10218211.0], &quot;mean_absolute_error&quot;: [2923.010498046875, 2922.987060546875, 2922.86376953125, 2922.72216796875, 2922.660888671875, 2922.52099609375, 2922.49951171875, 2922.375244140625], &quot;mean_absolute_percentage_error&quot;: [0.9999327659606934, 0.9999155402183533, 0.9998604655265808, 0.9997968077659607, 0.9997929334640503, 0.9997460246086121, 0.999731719493866, 0.9996676445007324], &quot;mean_squared_error&quot;: [10222031.0, 10221935.0, 10221259.0, 10220447.0, 10219752.0, 10218801.0, 10218787.0, 10218211.0], &quot;r2&quot;: [-5.090005874633789, -5.089949131011963, -5.089545726776123, -5.089062690734863, -5.088648319244385, -5.0880818367004395, -5.088073253631592, -5.087730407714844], &quot;root_mean_squared_error&quot;: [3197.191162109375, 3197.176025390625, 3197.0703125, 3196.943359375, 3196.834716796875, 3196.68603515625, 3196.683837890625, 3196.59375], &quot;root_mean_squared_percentage_error&quot;: [0.9999322891235352, 0.9999152421951294, 0.9998601675033569, 0.999796986579895, 0.9997929930686951, 0.9997459053993225, 0.9997320175170898, 0.999667763710022]}, &quot;combined&quot;: {&quot;loss&quot;: [10236948.001434574, 10236851.001302416, 10236176.001240782, 10235371.001203522, 10234664.001178795, 10233713.001162682, 10233706.001150304, 10233136.001140436]}}, &quot;test&quot;: {&quot;rental_price&quot;: {&quot;loss&quot;: [10022388.0, 10022151.0, 10021722.0, 10020930.0, 10020050.0, 10019586.0, 10019136.0, 10018721.0], &quot;mean_absolute_error&quot;: [2892.181640625, 2892.14013671875, 2892.0537109375, 2891.917724609375, 2891.811767578125, 2891.729736328125, 2891.65771484375, 2891.563720703125], &quot;mean_absolute_percentage_error&quot;: [0.9999171495437622, 0.9998978972434998, 0.9998565912246704, 0.9997953772544861, 0.9997690320014954, 0.999734103679657, 0.999706506729126, 0.9996582865715027], &quot;mean_squared_error&quot;: [10022389.0, 10022151.0, 10021722.0, 10020929.0, 10020052.0, 10019585.0, 10019137.0, 10018720.0], &quot;r2&quot;: [-5.0442609786987305, -5.0441179275512695, -5.043859004974365, -5.0433807373046875, -5.042851448059082, -5.042569637298584, -5.042300224304199, -5.042048454284668], &quot;root_mean_squared_error&quot;: [3165.815673828125, 3165.778076171875, 3165.71044921875, 3165.585205078125, 3165.446533203125, 3165.372802734375, 3165.302001953125, 3165.236083984375], &quot;root_mean_squared_percentage_error&quot;: [0.999916672706604, 0.9998980164527893, 0.9998566508293152, 0.9997952580451965, 0.9997687339782715, 0.9997336268424988, 0.9997063279151917, 0.9996578693389893]}, &quot;combined&quot;: {&quot;loss&quot;: [10018539.00140178, 10018310.00128895, 10017879.001234548, 10017079.00119874, 10016209.001176707, 10015736.001161186, 10015297.001149153, 10014880.001139445]}}}                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    </td><td>/content/evadb_data/tmp/hyperopt/trial_d77a5970/</td><td>d77a5970  </td></tr>\n",
-              "</tbody>\n",
-              "</table>\n",
               "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e2385a39-e37b-4af2-8541-796a2d8eb033')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-e2385a39-e37b-4af2-8541-796a2d8eb033 button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-e2385a39-e37b-4af2-8541-796a2d8eb033');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "\n",
+              "<div id=\"df-07ed7fd5-a749-4f4b-98c4-d96ad24c0ff1\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-07ed7fd5-a749-4f4b-98c4-d96ad24c0ff1')\"\n",
+              "            title=\"Suggest charts.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "  </button>\n",
+              "\n",
               "<style>\n",
-              ".trialProgress {\n",
-              "  display: flex;\n",
-              "  flex-direction: column;\n",
-              "  color: var(--jp-ui-font-color1);\n",
-              "}\n",
-              ".trialProgress h3 {\n",
-              "  font-weight: bold;\n",
-              "}\n",
-              ".trialProgress td {\n",
-              "  white-space: nowrap;\n",
-              "}\n",
-              "</style>\n"
-            ],
-            "text/plain": [
-              "<IPython.core.display.HTML object>"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        },
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(run_experiment_trial pid=9590)\u001b[0m /usr/local/lib/python3.10/dist-packages/ludwig/schema/model_types/utils.py:238: UserWarning: Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\n",
-            "\u001b[2m\u001b[36m(run_experiment_trial pid=9590)\u001b[0m   warnings.warn(\"Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\")\n",
-            "\u001b[2m\u001b[36m(pid=11510)\u001b[0m 2023-09-19 08:18:54.704064: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
-            "\u001b[2m\u001b[36m(pid=11510)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.\n",
-            "\u001b[2m\u001b[36m(pid=11510)\u001b[0m   warn(\"The installed version of bitsandbytes was compiled without GPU support. \"\n"
-          ]
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(pid=11510)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cpu.so: undefined symbol: cadam32bit_grad_fp32\n",
-            "\u001b[2m\u001b[36m(pid=11510)\u001b[0m Created a temporary directory at /tmp/tmpig_vjq1k\n",
-            "\u001b[2m\u001b[36m(pid=11510)\u001b[0m Writing /tmp/tmpig_vjq1k/_remote_module_non_scriptable.py\n"
-          ]
-        },
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(run_experiment_trial pid=11510)\u001b[0m /usr/local/lib/python3.10/dist-packages/ludwig/schema/model_types/utils.py:238: UserWarning: Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\n",
-            "\u001b[2m\u001b[36m(run_experiment_trial pid=11510)\u001b[0m   warnings.warn(\"Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\")\n",
-            "\u001b[2m\u001b[36m(pid=12068)\u001b[0m 2023-09-19 08:20:38.139383: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
-            "\u001b[2m\u001b[36m(pid=12068)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.\n",
-            "\u001b[2m\u001b[36m(pid=12068)\u001b[0m   warn(\"The installed version of bitsandbytes was compiled without GPU support. \"\n"
-          ]
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(pid=12068)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cpu.so: undefined symbol: cadam32bit_grad_fp32\n",
-            "\u001b[2m\u001b[36m(pid=12068)\u001b[0m Created a temporary directory at /tmp/tmpcoc0ps99\n",
-            "\u001b[2m\u001b[36m(pid=12068)\u001b[0m Writing /tmp/tmpcoc0ps99/_remote_module_non_scriptable.py\n"
-          ]
-        },
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(run_experiment_trial pid=12068)\u001b[0m /usr/local/lib/python3.10/dist-packages/ludwig/schema/model_types/utils.py:238: UserWarning: Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\n",
-            "\u001b[2m\u001b[36m(run_experiment_trial pid=12068)\u001b[0m   warnings.warn(\"Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\")\n",
-            "\u001b[2m\u001b[36m(pid=12568)\u001b[0m 2023-09-19 08:22:25.434963: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
-            "\u001b[2m\u001b[36m(pid=12568)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.\n",
-            "\u001b[2m\u001b[36m(pid=12568)\u001b[0m   warn(\"The installed version of bitsandbytes was compiled without GPU support. \"\n"
-          ]
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(pid=12568)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cpu.so: undefined symbol: cadam32bit_grad_fp32\n",
-            "\u001b[2m\u001b[36m(pid=12568)\u001b[0m Created a temporary directory at /tmp/tmpym3vhxf5\n",
-            "\u001b[2m\u001b[36m(pid=12568)\u001b[0m Writing /tmp/tmpym3vhxf5/_remote_module_non_scriptable.py\n"
-          ]
-        },
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(run_experiment_trial pid=12568)\u001b[0m /usr/local/lib/python3.10/dist-packages/ludwig/schema/model_types/utils.py:238: UserWarning: Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\n",
-            "\u001b[2m\u001b[36m(run_experiment_trial pid=12568)\u001b[0m   warnings.warn(\"Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\")\n",
-            "\u001b[2m\u001b[36m(pid=13088)\u001b[0m 2023-09-19 08:24:22.084131: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n"
-          ]
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(pid=13088)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cpu.so: undefined symbol: cadam32bit_grad_fp32\n"
-          ]
-        },
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(pid=13088)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.\n",
-            "\u001b[2m\u001b[36m(pid=13088)\u001b[0m   warn(\"The installed version of bitsandbytes was compiled without GPU support. \"\n"
-          ]
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(pid=13088)\u001b[0m Created a temporary directory at /tmp/tmpwt95hih3\n",
-            "\u001b[2m\u001b[36m(pid=13088)\u001b[0m Writing /tmp/tmpwt95hih3/_remote_module_non_scriptable.py\n"
-          ]
-        },
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(run_experiment_trial pid=13088)\u001b[0m /usr/local/lib/python3.10/dist-packages/ludwig/schema/model_types/utils.py:238: UserWarning: Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\n",
-            "\u001b[2m\u001b[36m(run_experiment_trial pid=13088)\u001b[0m   warnings.warn(\"Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\")\n",
-            "\u001b[2m\u001b[36m(pid=13648)\u001b[0m 2023-09-19 08:26:06.891768: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n"
-          ]
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(pid=13648)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cpu.so: undefined symbol: cadam32bit_grad_fp32\n"
-          ]
-        },
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(pid=13648)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.\n",
-            "\u001b[2m\u001b[36m(pid=13648)\u001b[0m   warn(\"The installed version of bitsandbytes was compiled without GPU support. \"\n"
-          ]
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(pid=13648)\u001b[0m Created a temporary directory at /tmp/tmpv0ckg_a2\n",
-            "\u001b[2m\u001b[36m(pid=13648)\u001b[0m Writing /tmp/tmpv0ckg_a2/_remote_module_non_scriptable.py\n"
-          ]
-        },
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(run_experiment_trial pid=13648)\u001b[0m /usr/local/lib/python3.10/dist-packages/ludwig/schema/model_types/utils.py:238: UserWarning: Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\n",
-            "\u001b[2m\u001b[36m(run_experiment_trial pid=13648)\u001b[0m   warnings.warn(\"Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\")\n",
-            "\u001b[2m\u001b[36m(pid=14171)\u001b[0m 2023-09-19 08:27:56.659574: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
-            "\u001b[2m\u001b[36m(pid=14171)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.\n",
-            "\u001b[2m\u001b[36m(pid=14171)\u001b[0m   warn(\"The installed version of bitsandbytes was compiled without GPU support. \"\n"
-          ]
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(pid=14171)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cpu.so: undefined symbol: cadam32bit_grad_fp32\n",
-            "\u001b[2m\u001b[36m(pid=14171)\u001b[0m Created a temporary directory at /tmp/tmpw1xsob53\n",
-            "\u001b[2m\u001b[36m(pid=14171)\u001b[0m Writing /tmp/tmpw1xsob53/_remote_module_non_scriptable.py\n"
-          ]
-        },
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(run_experiment_trial pid=14171)\u001b[0m /usr/local/lib/python3.10/dist-packages/ludwig/schema/model_types/utils.py:238: UserWarning: Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\n",
-            "\u001b[2m\u001b[36m(run_experiment_trial pid=14171)\u001b[0m   warnings.warn(\"Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\")\n",
-            "\u001b[2m\u001b[36m(pid=14699)\u001b[0m 2023-09-19 08:29:44.002156: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
-            "\u001b[2m\u001b[36m(pid=14699)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.\n",
-            "\u001b[2m\u001b[36m(pid=14699)\u001b[0m   warn(\"The installed version of bitsandbytes was compiled without GPU support. \"\n"
-          ]
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(pid=14699)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cpu.so: undefined symbol: cadam32bit_grad_fp32\n",
-            "\u001b[2m\u001b[36m(pid=14699)\u001b[0m Created a temporary directory at /tmp/tmp6bu1pg6f\n",
-            "\u001b[2m\u001b[36m(pid=14699)\u001b[0m Writing /tmp/tmp6bu1pg6f/_remote_module_non_scriptable.py\n"
-          ]
+              "  .colab-df-quickchart {\n",
+              "      --bg-color: #E8F0FE;\n",
+              "      --fill-color: #1967D2;\n",
+              "      --hover-bg-color: #E2EBFA;\n",
+              "      --hover-fill-color: #174EA6;\n",
+              "      --disabled-fill-color: #AAA;\n",
+              "      --disabled-bg-color: #DDD;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "      --bg-color: #3B4455;\n",
+              "      --fill-color: #D2E3FC;\n",
+              "      --hover-bg-color: #434B5C;\n",
+              "      --hover-fill-color: #FFFFFF;\n",
+              "      --disabled-bg-color: #3B4455;\n",
+              "      --disabled-fill-color: #666;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: var(--bg-color);\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: var(--fill-color);\n",
+              "    height: 32px;\n",
+              "    padding: 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: var(--hover-bg-color);\n",
+              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: var(--button-hover-fill-color);\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart-complete:disabled,\n",
+              "  .colab-df-quickchart-complete:disabled:hover {\n",
+              "    background-color: var(--disabled-bg-color);\n",
+              "    fill: var(--disabled-fill-color);\n",
+              "    box-shadow: none;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-spinner {\n",
+              "    border: 2px solid var(--fill-color);\n",
+              "    border-color: transparent;\n",
+              "    border-bottom-color: var(--fill-color);\n",
+              "    animation:\n",
+              "      spin 1s steps(1) infinite;\n",
+              "  }\n",
+              "\n",
+              "  @keyframes spin {\n",
+              "    0% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "      border-left-color: var(--fill-color);\n",
+              "    }\n",
+              "    20% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    30% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    40% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    60% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    80% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "    90% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "  <script>\n",
+              "    async function quickchart(key) {\n",
+              "      const quickchartButtonEl =\n",
+              "        document.querySelector('#' + key + ' button');\n",
+              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
+              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
+              "      try {\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      } catch (error) {\n",
+              "        console.error('Error during call to suggestCharts:', error);\n",
+              "      }\n",
+              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
+              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
+              "    }\n",
+              "    (() => {\n",
+              "      let quickchartButtonEl =\n",
+              "        document.querySelector('#df-07ed7fd5-a749-4f4b-98c4-d96ad24c0ff1 button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 17
+        }
+      ],
+      "source": [
+        "cursor.query(\"SELECT * FROM postgres_data.home_rentals LIMIT 3;\").df()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "7DX411TFO-Lp"
+      },
+      "source": [
+        "## Training Model\n",
+        "\n",
+        "Next, we employ EvaDB to facilitate the training of an ML model, which will enable us to predict `home rental prices`."
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "hoLzadFlPOvh"
+      },
+      "source": [
+        "### Train the prediction Model using Ludwig\n",
+        "For this purpose, we harness the capabilities of the [ludwig](https://ludwig.ai/latest/) engine to train our prediction model. We employ the `automl` feature to automatically determine the optimal hyperparameters. Keep in mind that `TIME_LIMIT` specifies the time budget allocated for the training process."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "IFstPBI8UINv"
+      },
+      "outputs": [],
+      "source": [
+        "cursor.query(\"\"\"\n",
+        "  CREATE OR REPLACE FUNCTION PredictHouseRent FROM\n",
+        "  ( SELECT * FROM postgres_data.home_rentals )\n",
+        "  TYPE Ludwig\n",
+        "  PREDICT 'rental_price'\n",
+        "  TIME_LIMIT 3600;\n",
+        "\"\"\").df()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### Train the prediction Model using XGBoost\n",
+        "With XGBoost integration, we harness the capabilities of the [XGBoost](https://xgboost.readthedocs.io/en/stable/) engine to train our prediction model. We employ the `Flaml` AutoML model to automatically determine the optimal hyperparameters. We can utilize `TIME_LIMIT` to specify the time budget allocated for the training process. Similarly you can use the `METRIC` parameter to determine the accuracy/error metric for training the model. `TASK` parameter can be used to specify whether you want to perform a `classification` task or `regression` task."
+      ],
+      "metadata": {
+        "id": "1MRKIT0OQ7R8"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "cursor.query(\"\"\"\n",
+        "  CREATE OR REPLACE FUNCTION PredictHouseRent FROM\n",
+        "  ( SELECT * FROM postgres_data.home_rentals )\n",
+        "  TYPE XGBoost\n",
+        "  PREDICT 'rental_price'\n",
+        "  TIME_LIMIT 180\n",
+        "  METRIC 'rmse'\n",
+        "  TASK 'regression';\n",
+        "\"\"\").df()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1000
         },
+        "id": "7Zl8nJfaSglz",
+        "outputId": "ad6fd61c-4fd5-4b6d-a982-79408803a765"
+      },
+      "execution_count": 19,
+      "outputs": [
         {
-          "name": "stderr",
           "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(run_experiment_trial pid=14699)\u001b[0m /usr/local/lib/python3.10/dist-packages/ludwig/schema/model_types/utils.py:238: UserWarning: Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\n",
-            "\u001b[2m\u001b[36m(run_experiment_trial pid=14699)\u001b[0m   warnings.warn(\"Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\")\n",
-            "\u001b[2m\u001b[36m(pid=15203)\u001b[0m 2023-09-19 08:31:33.486977: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
-            "\u001b[2m\u001b[36m(pid=15203)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.\n",
-            "\u001b[2m\u001b[36m(pid=15203)\u001b[0m   warn(\"The installed version of bitsandbytes was compiled without GPU support. \"\n"
-          ]
-        },
-        {
           "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(pid=15203)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cpu.so: undefined symbol: cadam32bit_grad_fp32\n",
-            "\u001b[2m\u001b[36m(pid=15203)\u001b[0m Created a temporary directory at /tmp/tmpaend1ws3\n",
-            "\u001b[2m\u001b[36m(pid=15203)\u001b[0m Writing /tmp/tmpaend1ws3/_remote_module_non_scriptable.py\n"
-          ]
-        },
-        {
-          "name": "stderr",
-          "output_type": "stream",
           "text": [
-            "\u001b[2m\u001b[36m(run_experiment_trial pid=15203)\u001b[0m /usr/local/lib/python3.10/dist-packages/ludwig/schema/model_types/utils.py:238: UserWarning: Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\n",
-            "\u001b[2m\u001b[36m(run_experiment_trial pid=15203)\u001b[0m   warnings.warn(\"Can't utilize `early_stop` while using a hyperopt scheduler. Setting early stop to -1.\")\n",
-            "2023-09-19 08:38:34,918\tINFO tune.py:945 -- Total run time: 1663.01 seconds (1662.92 seconds for the tuning loop).\n"
+            "[flaml.automl.logger: 10-26 18:42:28] {1679} INFO - task = regression\n",
+            "[flaml.automl.logger: 10-26 18:42:28] {1690} INFO - Evaluation method: cv\n",
+            "[flaml.automl.logger: 10-26 18:42:28] {1788} INFO - Minimizing error metric: rmse\n",
+            "[flaml.automl.logger: 10-26 18:42:28] {1900} INFO - List of ML learners in AutoML Run: ['xgboost']\n",
+            "[flaml.automl.logger: 10-26 18:42:28] {2218} INFO - iteration 0, current learner xgboost\n",
+            "[flaml.automl.logger: 10-26 18:42:28] {2344} INFO - Estimated sufficient time budget=1240s. Estimated necessary time budget=1s.\n",
+            "[flaml.automl.logger: 10-26 18:42:28] {2391} INFO -  at 0.2s,\testimator xgboost's best error=873.7432,\tbest estimator xgboost's best error=873.7432\n",
+            "[flaml.automl.logger: 10-26 18:42:28] {2218} INFO - iteration 1, current learner xgboost\n",
+            "[flaml.automl.logger: 10-26 18:42:28] {2391} INFO -  at 0.3s,\testimator xgboost's best error=873.7432,\tbest estimator xgboost's best error=873.7432\n",
+            "[flaml.automl.logger: 10-26 18:42:28] {2218} INFO - iteration 2, current learner xgboost\n",
+            "[flaml.automl.logger: 10-26 18:42:28] {2391} INFO -  at 0.3s,\testimator xgboost's best error=441.7846,\tbest estimator xgboost's best error=441.7846\n",
+            "[flaml.automl.logger: 10-26 18:42:28] {2218} INFO - iteration 3, current learner xgboost\n",
+            "[flaml.automl.logger: 10-26 18:42:28] {2391} INFO -  at 0.4s,\testimator xgboost's best error=170.0591,\tbest estimator xgboost's best error=170.0591\n",
+            "[flaml.automl.logger: 10-26 18:42:28] {2218} INFO - iteration 4, current learner xgboost\n",
+            "[flaml.automl.logger: 10-26 18:42:28] {2391} INFO -  at 0.5s,\testimator xgboost's best error=170.0591,\tbest estimator xgboost's best error=170.0591\n",
+            "[flaml.automl.logger: 10-26 18:42:28] {2218} INFO - iteration 5, current learner xgboost\n",
+            "[flaml.automl.logger: 10-26 18:42:28] {2391} INFO -  at 0.6s,\testimator xgboost's best error=170.0591,\tbest estimator xgboost's best error=170.0591\n",
+            "[flaml.automl.logger: 10-26 18:42:28] {2218} INFO - iteration 6, current learner xgboost\n",
+            "[flaml.automl.logger: 10-26 18:42:28] {2391} INFO -  at 0.7s,\testimator xgboost's best error=95.8596,\tbest estimator xgboost's best error=95.8596\n",
+            "[flaml.automl.logger: 10-26 18:42:28] {2218} INFO - iteration 7, current learner xgboost\n",
+            "[flaml.automl.logger: 10-26 18:42:29] {2391} INFO -  at 0.8s,\testimator xgboost's best error=95.8596,\tbest estimator xgboost's best error=95.8596\n",
+            "[flaml.automl.logger: 10-26 18:42:29] {2218} INFO - iteration 8, current learner xgboost\n",
+            "[flaml.automl.logger: 10-26 18:42:29] {2391} INFO -  at 0.9s,\testimator xgboost's best error=95.8596,\tbest estimator xgboost's best error=95.8596\n",
+            "[flaml.automl.logger: 10-26 18:42:29] {2218} INFO - iteration 9, current learner xgboost\n",
+            "[flaml.automl.logger: 10-26 18:42:29] {2391} INFO -  at 1.0s,\testimator xgboost's best error=53.9540,\tbest estimator xgboost's best error=53.9540\n",
+            "[flaml.automl.logger: 10-26 18:42:29] {2218} INFO - iteration 10, current learner xgboost\n",
+            "[flaml.automl.logger: 10-26 18:42:29] {2391} INFO -  at 1.1s,\testimator xgboost's best error=53.9540,\tbest estimator xgboost's best error=53.9540\n",
+            "[flaml.automl.logger: 10-26 18:42:29] {2218} INFO - iteration 11, current learner xgboost\n",
+            "[flaml.automl.logger: 10-26 18:42:29] {2391} INFO -  at 1.1s,\testimator xgboost's best error=53.9540,\tbest estimator xgboost's best error=53.9540\n",
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+            "[flaml.automl.logger: 10-26 18:45:23] {2627} INFO - retrain xgboost for 0.9s\n",
+            "[flaml.automl.logger: 10-26 18:45:23] {2630} INFO - retrained model: XGBRegressor(base_score=None, booster=None, callbacks=[],\n",
+            "             colsample_bylevel=0.9937172947585778, colsample_bynode=None,\n",
+            "             colsample_bytree=1.0, device=None, early_stopping_rounds=None,\n",
+            "             enable_categorical=False, eval_metric=None, feature_types=None,\n",
+            "             gamma=None, grow_policy='lossguide', importance_type=None,\n",
+            "             interaction_constraints=None, learning_rate=0.023369112362873073,\n",
+            "             max_bin=None, max_cat_threshold=None, max_cat_to_onehot=None,\n",
+            "             max_delta_step=None, max_depth=0, max_leaves=131,\n",
+            "             min_child_weight=2.39151823628023, missing=nan,\n",
+            "             monotone_constraints=None, multi_strategy=None, n_estimators=363,\n",
+            "             n_jobs=-1, num_parallel_tree=None, random_state=None, ...)\n",
+            "[flaml.automl.logger: 10-26 18:45:23] {1930} INFO - fit succeeded\n",
+            "[flaml.automl.logger: 10-26 18:45:23] {1931} INFO - Time taken to find the best model: 174.1169867515564\n"
           ]
         },
         {
+          "output_type": "execute_result",
           "data": {
+            "text/plain": [
+              "                                                  0\n",
+              "0  Function PredictHouseRent added to the database."
+            ],
             "text/html": [
               "\n",
-              "  <div id=\"df-20003f0a-25c7-4b97-b59b-b4f2ad916889\" class=\"colab-df-container\">\n",
+              "  <div id=\"df-49c2c92a-ecfe-49e0-a75d-b4736cd734b2\" class=\"colab-df-container\">\n",
               "    <div>\n",
               "<style scoped>\n",
               "    .dataframe tbody tr th:only-of-type {\n",
@@ -1102,7 +1496,7 @@
               "  <tbody>\n",
               "    <tr>\n",
               "      <th>0</th>\n",
-              "      <td>Function PredictHouseRent overwritten.</td>\n",
+              "      <td>Function PredictHouseRent added to the database.</td>\n",
               "    </tr>\n",
               "  </tbody>\n",
               "</table>\n",
@@ -1110,7 +1504,7 @@
               "    <div class=\"colab-df-buttons\">\n",
               "\n",
               "  <div class=\"colab-df-container\">\n",
-              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-20003f0a-25c7-4b97-b59b-b4f2ad916889')\"\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-49c2c92a-ecfe-49e0-a75d-b4736cd734b2')\"\n",
               "            title=\"Convert this dataframe to an interactive table.\"\n",
               "            style=\"display:none;\">\n",
               "\n",
@@ -1162,12 +1556,12 @@
               "\n",
               "    <script>\n",
               "      const buttonEl =\n",
-              "        document.querySelector('#df-20003f0a-25c7-4b97-b59b-b4f2ad916889 button.colab-df-convert');\n",
+              "        document.querySelector('#df-49c2c92a-ecfe-49e0-a75d-b4736cd734b2 button.colab-df-convert');\n",
               "      buttonEl.style.display =\n",
               "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
               "\n",
               "      async function convertToInteractive(key) {\n",
-              "        const element = document.querySelector('#df-20003f0a-25c7-4b97-b59b-b4f2ad916889');\n",
+              "        const element = document.querySelector('#df-49c2c92a-ecfe-49e0-a75d-b4736cd734b2');\n",
               "        const dataTable =\n",
               "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
               "                                                    [key], {});\n",
@@ -1188,25 +1582,11 @@
               "\n",
               "    </div>\n",
               "  </div>\n"
-            ],
-            "text/plain": [
-              "                                        0\n",
-              "0  Function PredictHouseRent overwritten."
             ]
           },
-          "execution_count": 18,
           "metadata": {},
-          "output_type": "execute_result"
+          "execution_count": 19
         }
-      ],
-      "source": [
-        "cursor.query(\"\"\"\n",
-        "  CREATE OR REPLACE FUNCTION PredictHouseRent FROM\n",
-        "  ( SELECT * FROM postgres_data.home_rentals )\n",
-        "  TYPE Ludwig\n",
-        "  PREDICT 'rental_price'\n",
-        "  TIME_LIMIT 3600;\n",
-        "\"\"\").df()"
       ]
     },
     {
@@ -1221,115 +1601,35 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 19,
+      "execution_count": 20,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 591,
-          "referenced_widgets": [
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-            "32c50798c7364a29af70f6094bc0b476",
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-            "888820e0334a4018bf801c1ec2976b12",
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-            "3df6063826654a0d80ffb4f455f33763",
-            "48387f476dc24e1999b87c7cf64f2898",
-            "bcd81198b23a44f4b0353a77b0ddee4a",
-            "4ac3b17f480d48899d0b9f33014ad302",
-            "2be68ecb958243fcba8d49f1b36a4a42",
-            "bf9d9bee4fa64a4981d2448b3aee374e"
-          ]
+          "height": 359
         },
         "id": "_7m-QQG5U3_C",
-        "outputId": "eb2679f1-8a71-4990-d507-2035e760f1ec"
+        "outputId": "f8e77484-c2ce-4100-8edf-e8237799fc67"
       },
       "outputs": [
         {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "2023-09-19 08:39:27,803\tINFO streaming_executor.py:83 -- Executing DAG InputDataBuffer[Input] -> ActorPoolMapOperator[MapBatches(BatchInferModel)]\n",
-            "2023-09-19 08:39:27,805\tINFO streaming_executor.py:84 -- Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=False, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n",
-            "2023-09-19 08:39:27,861\tINFO actor_pool_map_operator.py:99 -- MapBatches(BatchInferModel): Waiting for 1 pool actors to start...\n"
-          ]
-        },
-        {
-          "data": {
-            "application/vnd.jupyter.widget-view+json": {
-              "model_id": "dfa2d26d4f004227ad69013d4962f5d5",
-              "version_major": 2,
-              "version_minor": 0
-            },
-            "text/plain": [
-              "Running 0:   0%|          | 0/1 [00:00<?, ?it/s]"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        },
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(MapWorker(MapBatches(BatchInferModel)) pid=17384)\u001b[0m 2023-09-19 08:39:42.144391: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n"
-          ]
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(MapWorker(MapBatches(BatchInferModel)) pid=17384)\u001b[0m Writing /tmp/tmpn1s5jolp/_remote_module_non_scriptable.py\n",
-            "\u001b[2m\u001b[36m(MapWorker(MapBatches(BatchInferModel)) pid=17384)\u001b[0m Writing /tmp/tmpn1s5jolp/_remote_module_non_scriptable.py\n",
-            "\u001b[2m\u001b[36m(MapWorker(MapBatches(BatchInferModel)) pid=17384)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cpu.so: undefined symbol: cadam32bit_grad_fp32\n"
-          ]
-        },
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(MapWorker(MapBatches(BatchInferModel)) pid=17384)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.\n",
-            "\u001b[2m\u001b[36m(MapWorker(MapBatches(BatchInferModel)) pid=17384)\u001b[0m   warn(\"The installed version of bitsandbytes was compiled without GPU support. \"\n",
-            "2023-09-19 08:39:58,956\tINFO streaming_executor.py:83 -- Executing DAG InputDataBuffer[Input] -> TaskPoolMapOperator[MapBatches(postprocess_batch)]\n",
-            "2023-09-19 08:39:58,965\tINFO streaming_executor.py:84 -- Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=False, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n"
-          ]
-        },
-        {
+          "output_type": "execute_result",
           "data": {
-            "application/vnd.jupyter.widget-view+json": {
-              "model_id": "811f0f0be0de4269bba0f61415bec10c",
-              "version_major": 2,
-              "version_minor": 0
-            },
             "text/plain": [
-              "Running 0:   0%|          | 0/1 [00:00<?, ?it/s]"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "After compute: <class 'pandas.core.frame.DataFrame'>\n"
-          ]
-        },
-        {
-          "data": {
+              "   rental_price\n",
+              "0   2166.502930\n",
+              "1   1881.248047\n",
+              "2   2429.649170\n",
+              "3   5504.289062\n",
+              "4   2272.817139\n",
+              "5   4125.753906\n",
+              "6   2222.618164\n",
+              "7   2100.471191\n",
+              "8   3870.793945\n",
+              "9   2043.048096"
+            ],
             "text/html": [
               "\n",
-              "  <div id=\"df-8262fab1-d85b-4146-a597-894513a9399a\" class=\"colab-df-container\">\n",
+              "  <div id=\"df-f82ac135-a21f-43f4-bcf9-b9f02ec6870c\" class=\"colab-df-container\">\n",
               "    <div>\n",
               "<style scoped>\n",
               "    .dataframe tbody tr th:only-of-type {\n",
@@ -1348,49 +1648,49 @@
               "  <thead>\n",
               "    <tr style=\"text-align: right;\">\n",
               "      <th></th>\n",
-              "      <th>predicthouserent.rental_price_predictions</th>\n",
+              "      <th>rental_price</th>\n",
               "    </tr>\n",
               "  </thead>\n",
               "  <tbody>\n",
               "    <tr>\n",
               "      <th>0</th>\n",
-              "      <td>2087.763672</td>\n",
+              "      <td>2166.502930</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>1</th>\n",
-              "      <td>1793.570190</td>\n",
+              "      <td>1881.248047</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>2</th>\n",
-              "      <td>2346.319824</td>\n",
+              "      <td>2429.649170</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>3</th>\n",
-              "      <td>5551.257812</td>\n",
+              "      <td>5504.289062</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>4</th>\n",
-              "      <td>2333.635498</td>\n",
+              "      <td>2272.817139</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>5</th>\n",
-              "      <td>4354.810547</td>\n",
+              "      <td>4125.753906</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>6</th>\n",
-              "      <td>2121.776367</td>\n",
+              "      <td>2222.618164</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>7</th>\n",
-              "      <td>2107.004639</td>\n",
+              "      <td>2100.471191</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>8</th>\n",
-              "      <td>3906.090332</td>\n",
+              "      <td>3870.793945</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>9</th>\n",
-              "      <td>2026.162720</td>\n",
+              "      <td>2043.048096</td>\n",
               "    </tr>\n",
               "  </tbody>\n",
               "</table>\n",
@@ -1398,7 +1698,7 @@
               "    <div class=\"colab-df-buttons\">\n",
               "\n",
               "  <div class=\"colab-df-container\">\n",
-              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8262fab1-d85b-4146-a597-894513a9399a')\"\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f82ac135-a21f-43f4-bcf9-b9f02ec6870c')\"\n",
               "            title=\"Convert this dataframe to an interactive table.\"\n",
               "            style=\"display:none;\">\n",
               "\n",
@@ -1450,12 +1750,12 @@
               "\n",
               "    <script>\n",
               "      const buttonEl =\n",
-              "        document.querySelector('#df-8262fab1-d85b-4146-a597-894513a9399a button.colab-df-convert');\n",
+              "        document.querySelector('#df-f82ac135-a21f-43f4-bcf9-b9f02ec6870c button.colab-df-convert');\n",
               "      buttonEl.style.display =\n",
               "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
               "\n",
               "      async function convertToInteractive(key) {\n",
-              "        const element = document.querySelector('#df-8262fab1-d85b-4146-a597-894513a9399a');\n",
+              "        const element = document.querySelector('#df-f82ac135-a21f-43f4-bcf9-b9f02ec6870c');\n",
               "        const dataTable =\n",
               "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
               "                                                    [key], {});\n",
@@ -1475,8 +1775,8 @@
               "  </div>\n",
               "\n",
               "\n",
-              "<div id=\"df-be67ebac-7afd-4eed-a005-227c8f849596\">\n",
-              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-be67ebac-7afd-4eed-a005-227c8f849596')\"\n",
+              "<div id=\"df-dcbfc23d-c817-49db-9222-3db946a2c42c\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-dcbfc23d-c817-49db-9222-3db946a2c42c')\"\n",
               "            title=\"Suggest charts.\"\n",
               "            style=\"display:none;\">\n",
               "\n",
@@ -1595,7 +1895,7 @@
               "    }\n",
               "    (() => {\n",
               "      let quickchartButtonEl =\n",
-              "        document.querySelector('#df-be67ebac-7afd-4eed-a005-227c8f849596 button');\n",
+              "        document.querySelector('#df-dcbfc23d-c817-49db-9222-3db946a2c42c button');\n",
               "      quickchartButtonEl.style.display =\n",
               "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
               "    })();\n",
@@ -1603,24 +1903,10 @@
               "</div>\n",
               "    </div>\n",
               "  </div>\n"
-            ],
-            "text/plain": [
-              "   predicthouserent.rental_price_predictions\n",
-              "0                                2087.763672\n",
-              "1                                1793.570190\n",
-              "2                                2346.319824\n",
-              "3                                5551.257812\n",
-              "4                                2333.635498\n",
-              "5                                4354.810547\n",
-              "6                                2121.776367\n",
-              "7                                2107.004639\n",
-              "8                                3906.090332\n",
-              "9                                2026.162720"
             ]
           },
-          "execution_count": 19,
           "metadata": {},
-          "output_type": "execute_result"
+          "execution_count": 20
         }
       ],
       "source": [
@@ -1638,127 +1924,35 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 20,
+      "execution_count": 21,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 591,
-          "referenced_widgets": [
-            "cae8b769474d42fab6054abbb2c91807",
-            "fc575be520994ab5be8b11215693a1da",
-            "0ad254d50fe541d9b16dcc45fd430328",
-            "6e848e8f03d04e5faf589e19d34afdc3",
-            "11910229fa494fb79820ce428c5d4d1c",
-            "0b6d374093574e77bc8d473e004b689d",
-            "79bbc4be023a444ba5f022db42d13c24",
-            "f4bc6c9b43ff42f7bdcd5e6e94b02a18",
-            "b75f236b54144845b6fe4ebed25623ed",
-            "005aae0e598a4760a05f6343c2465bd7",
-            "8b8a809e71744da3821bdbb0ee2777b2",
-            "323e846d500f40538e474fade1a4fd4e",
-            "4d8866e1ef3b45b5966087d0dfa94dd1",
-            "06f969178b244485aaa96a7b80c844d5",
-            "5e0713be4092407e9bec1d33492f927b",
-            "4d7c9683349e46108dc5b7ce3258cb0f",
-            "90f4379f16dc4875883217a12bdc0df4",
-            "c984f0dc90ee4a88b9fc2d36b96f03b7",
-            "c13ee19da22440edbfbe97739385a948",
-            "b6b13e92fc744a3495121234c0e54b1d",
-            "3c3e775321b04605b7df10ab56aa0ad5",
-            "430e4a01ec2046a6a3df5da2381a7ad7"
-          ]
+          "height": 359
         },
         "id": "1rDikEWodBdX",
-        "outputId": "4c5cf5f6-47a0-4f38-8b96-bc6bac532590"
+        "outputId": "be1eccf7-1c0a-439a-b7b0-1f25a1949b4b"
       },
       "outputs": [
         {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "2023-09-19 08:40:05,466\tINFO streaming_executor.py:83 -- Executing DAG InputDataBuffer[Input] -> ActorPoolMapOperator[MapBatches(BatchInferModel)]\n",
-            "2023-09-19 08:40:05,469\tINFO streaming_executor.py:84 -- Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=False, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n",
-            "2023-09-19 08:40:05,515\tINFO actor_pool_map_operator.py:99 -- MapBatches(BatchInferModel): Waiting for 1 pool actors to start...\n"
-          ]
-        },
-        {
-          "data": {
-            "application/vnd.jupyter.widget-view+json": {
-              "model_id": "cae8b769474d42fab6054abbb2c91807",
-              "version_major": 2,
-              "version_minor": 0
-            },
-            "text/plain": [
-              "Running 0:   0%|          | 0/1 [00:00<?, ?it/s]"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        },
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(MapWorker(MapBatches(BatchInferModel)) pid=17588)\u001b[0m 2023-09-19 08:40:14.772637: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n"
-          ]
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(MapWorker(MapBatches(BatchInferModel)) pid=17588)\u001b[0m Created a temporary directory at /tmp/tmpu8pnqblx\n",
-            "\u001b[2m\u001b[36m(MapWorker(MapBatches(BatchInferModel)) pid=17588)\u001b[0m Writing /tmp/tmpu8pnqblx/_remote_module_non_scriptable.py\n"
-          ]
-        },
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(MapWorker(MapBatches(BatchInferModel)) pid=17588)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.\n",
-            "\u001b[2m\u001b[36m(MapWorker(MapBatches(BatchInferModel)) pid=17588)\u001b[0m   warn(\"The installed version of bitsandbytes was compiled without GPU support. \"\n"
-          ]
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2m\u001b[36m(MapWorker(MapBatches(BatchInferModel)) pid=17588)\u001b[0m /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cpu.so: undefined symbol: cadam32bit_grad_fp32\n"
-          ]
-        },
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "2023-09-19 08:40:32,611\tINFO streaming_executor.py:83 -- Executing DAG InputDataBuffer[Input] -> TaskPoolMapOperator[MapBatches(postprocess_batch)]\n",
-            "2023-09-19 08:40:32,613\tINFO streaming_executor.py:84 -- Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=False, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n"
-          ]
-        },
-        {
+          "output_type": "execute_result",
           "data": {
-            "application/vnd.jupyter.widget-view+json": {
-              "model_id": "323e846d500f40538e474fade1a4fd4e",
-              "version_major": 2,
-              "version_minor": 0
-            },
             "text/plain": [
-              "Running 0:   0%|          | 0/1 [00:00<?, ?it/s]"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "After compute: <class 'pandas.core.frame.DataFrame'>\n"
-          ]
-        },
-        {
-          "data": {
+              "   rental_price  predicted_rental_price\n",
+              "0      2167.000             2167.564697\n",
+              "1      1883.000             1881.478516\n",
+              "2      2431.000             2430.222656\n",
+              "3      5510.000             5506.156738\n",
+              "4      2272.000             2274.904297\n",
+              "5      4123.812             4123.654785\n",
+              "6      2224.000             2224.599609\n",
+              "7      2104.000             2101.194824\n",
+              "8      3861.000             3866.042725\n",
+              "9      2041.000             2043.027222"
+            ],
             "text/html": [
               "\n",
-              "  <div id=\"df-310fb461-1682-498c-8929-4975cdbe97d9\" class=\"colab-df-container\">\n",
+              "  <div id=\"df-1b6ccf35-5cc5-41e4-9351-d031bd07bca8\" class=\"colab-df-container\">\n",
               "    <div>\n",
               "<style scoped>\n",
               "    .dataframe tbody tr th:only-of-type {\n",
@@ -1777,60 +1971,60 @@
               "  <thead>\n",
               "    <tr style=\"text-align: right;\">\n",
               "      <th></th>\n",
-              "      <th>home_rentals.rental_price</th>\n",
-              "      <th>Predicted.predicted_rental_price</th>\n",
+              "      <th>rental_price</th>\n",
+              "      <th>predicted_rental_price</th>\n",
               "    </tr>\n",
               "  </thead>\n",
               "  <tbody>\n",
               "    <tr>\n",
               "      <th>0</th>\n",
               "      <td>2167.000</td>\n",
-              "      <td>2087.763672</td>\n",
+              "      <td>2167.564697</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>1</th>\n",
               "      <td>1883.000</td>\n",
-              "      <td>1793.570190</td>\n",
+              "      <td>1881.478516</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>2</th>\n",
               "      <td>2431.000</td>\n",
-              "      <td>2346.319824</td>\n",
+              "      <td>2430.222656</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>3</th>\n",
               "      <td>5510.000</td>\n",
-              "      <td>5551.257812</td>\n",
+              "      <td>5506.156738</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>4</th>\n",
               "      <td>2272.000</td>\n",
-              "      <td>2333.635498</td>\n",
+              "      <td>2274.904297</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>5</th>\n",
               "      <td>4123.812</td>\n",
-              "      <td>4354.810547</td>\n",
+              "      <td>4123.654785</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>6</th>\n",
               "      <td>2224.000</td>\n",
-              "      <td>2121.776367</td>\n",
+              "      <td>2224.599609</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>7</th>\n",
               "      <td>2104.000</td>\n",
-              "      <td>2107.004639</td>\n",
+              "      <td>2101.194824</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>8</th>\n",
               "      <td>3861.000</td>\n",
-              "      <td>3906.090332</td>\n",
+              "      <td>3866.042725</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>9</th>\n",
               "      <td>2041.000</td>\n",
-              "      <td>2026.162720</td>\n",
+              "      <td>2043.027222</td>\n",
               "    </tr>\n",
               "  </tbody>\n",
               "</table>\n",
@@ -1838,7 +2032,7 @@
               "    <div class=\"colab-df-buttons\">\n",
               "\n",
               "  <div class=\"colab-df-container\">\n",
-              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-310fb461-1682-498c-8929-4975cdbe97d9')\"\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1b6ccf35-5cc5-41e4-9351-d031bd07bca8')\"\n",
               "            title=\"Convert this dataframe to an interactive table.\"\n",
               "            style=\"display:none;\">\n",
               "\n",
@@ -1890,12 +2084,12 @@
               "\n",
               "    <script>\n",
               "      const buttonEl =\n",
-              "        document.querySelector('#df-310fb461-1682-498c-8929-4975cdbe97d9 button.colab-df-convert');\n",
+              "        document.querySelector('#df-1b6ccf35-5cc5-41e4-9351-d031bd07bca8 button.colab-df-convert');\n",
               "      buttonEl.style.display =\n",
               "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
               "\n",
               "      async function convertToInteractive(key) {\n",
-              "        const element = document.querySelector('#df-310fb461-1682-498c-8929-4975cdbe97d9');\n",
+              "        const element = document.querySelector('#df-1b6ccf35-5cc5-41e4-9351-d031bd07bca8');\n",
               "        const dataTable =\n",
               "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
               "                                                    [key], {});\n",
@@ -1915,8 +2109,8 @@
               "  </div>\n",
               "\n",
               "\n",
-              "<div id=\"df-03ad42cb-3186-452b-945b-a66c4b57b93e\">\n",
-              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-03ad42cb-3186-452b-945b-a66c4b57b93e')\"\n",
+              "<div id=\"df-15c9f7ba-1df9-48a2-aae4-dfe52f9f6376\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-15c9f7ba-1df9-48a2-aae4-dfe52f9f6376')\"\n",
               "            title=\"Suggest charts.\"\n",
               "            style=\"display:none;\">\n",
               "\n",
@@ -2035,7 +2229,7 @@
               "    }\n",
               "    (() => {\n",
               "      let quickchartButtonEl =\n",
-              "        document.querySelector('#df-03ad42cb-3186-452b-945b-a66c4b57b93e button');\n",
+              "        document.querySelector('#df-15c9f7ba-1df9-48a2-aae4-dfe52f9f6376 button');\n",
               "      quickchartButtonEl.style.display =\n",
               "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
               "    })();\n",
@@ -2043,24 +2237,10 @@
               "</div>\n",
               "    </div>\n",
               "  </div>\n"
-            ],
-            "text/plain": [
-              "   home_rentals.rental_price  Predicted.predicted_rental_price\n",
-              "0                   2167.000                       2087.763672\n",
-              "1                   1883.000                       1793.570190\n",
-              "2                   2431.000                       2346.319824\n",
-              "3                   5510.000                       5551.257812\n",
-              "4                   2272.000                       2333.635498\n",
-              "5                   4123.812                       4354.810547\n",
-              "6                   2224.000                       2121.776367\n",
-              "7                   2104.000                       2107.004639\n",
-              "8                   3861.000                       3906.090332\n",
-              "9                   2041.000                       2026.162720"
             ]
           },
-          "execution_count": 20,
           "metadata": {},
-          "output_type": "execute_result"
+          "execution_count": 21
         }
       ],
       "source": [
@@ -2073,7 +2253,6 @@
   ],
   "metadata": {
     "colab": {
-      "authorship_tag": "ABX9TyPWpEZ+WKaBcmCFDbByzfVi",
       "collapsed_sections": [
         "GHToaA_NKiHY",
         "H2m43vfZE8x6"
@@ -2096,1378 +2275,6 @@
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
       "version": "3.10.13"
-    },
-    "widgets": {
-      "application/vnd.jupyter.widget-state+json": {
-        "005aae0e598a4760a05f6343c2465bd7": {
-          "model_module": "@jupyter-widgets/base",
-          "model_module_version": "1.2.0",
-          "model_name": "LayoutModel",
-          "state": {
-            "_model_module": "@jupyter-widgets/base",
-            "_model_module_version": "1.2.0",
-            "_model_name": "LayoutModel",
-            "_view_count": null,
-            "_view_module": "@jupyter-widgets/base",
-            "_view_module_version": "1.2.0",
-            "_view_name": "LayoutView",
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diff --git a/tutorials/19-employee-classification-prediction.ipynb b/tutorials/19-employee-classification-prediction.ipynb
new file mode 100644
index 0000000000..28fc984346
--- /dev/null
+++ b/tutorials/19-employee-classification-prediction.ipynb
@@ -0,0 +1,3264 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# Training Prediction Models Directly Within PostgreSQL Using XGBoost EvaDB\n",
+        "In this tutorial, we'll harness EvaDB's model training capabilities to predict home rental prices, showcasing how EvaDB seamlessly integrates AI into your PostgreSQL database.\n",
+        "<table align=\"left\">\n",
+        "  <td>\n",
+        "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/georgia-tech-db/eva/blob/staging/tutorials/19-employee-classification-prediction.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\"/> Run on Google Colab</a>\n",
+        "  </td>\n",
+        "  <td>\n",
+        "    <a target=\"_blank\" href=\"https://github.com/georgia-tech-db/eva/blob/staging/tutorials/19-employee-classification-prediction.ipynb\"><img src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\"/> View source on GitHub</a>\n",
+        "  </td>\n",
+        "  <td>\n",
+        "    <a target=\"_blank\" href=\"https://github.com/georgia-tech-db/eva/raw/staging/tutorials/19-employee-classification-prediction.ipynb\"><img src=\"https://www.tensorflow.org/images/download_logo_32px.png\" /> Download notebook</a>\n",
+        "  </td>\n",
+        "</table><br><br>"
+      ],
+      "metadata": {
+        "id": "4o38TEFPWmZZ"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!apt -qq install postgresql\n",
+        "!service postgresql start"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "0LgHQ_6J7sPs",
+        "outputId": "7a52b8e1-a36b-4b41-b80e-b7b2be7d9a18"
+      },
+      "execution_count": 1,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "postgresql is already the newest version (14+238).\n",
+            "0 upgraded, 0 newly installed, 0 to remove and 19 not upgraded.\n",
+            " * Starting PostgreSQL 14 database server\n",
+            "   ...done.\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Setup"
+      ],
+      "metadata": {
+        "id": "nsyZe8PmZYZ7"
+      }
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### Install and Launch the PostgreSQL Server\n",
+        "\n",
+        "To kick things off, we'll start by setting up the PostgreSQL database backend. If you already have a PostgreSQL server up and running, you can skip this step and proceed directly to [installing EvaDB](#install-evadb)."
+      ],
+      "metadata": {
+        "id": "i1sYj0bRZf6m"
+      }
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### Create User and Database"
+      ],
+      "metadata": {
+        "id": "FORYt3tWZpM1"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!sudo -u postgres psql -c \"CREATE USER eva WITH SUPERUSER PASSWORD 'password'\"\n",
+        "!sudo -u postgres psql -c \"CREATE DATABASE evadb\""
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "ngJzr2B77zF2",
+        "outputId": "309c5b37-bef4-4c10-9401-aff0fc22a92d"
+      },
+      "execution_count": 2,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "ERROR:  role \"eva\" already exists\n",
+            "ERROR:  database \"evadb\" already exists\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### Prettify  Output"
+      ],
+      "metadata": {
+        "id": "uQh_rSIGZvNv"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import warnings\n",
+        "warnings.filterwarnings(\"ignore\")\n",
+        "\n",
+        "from IPython.core.display import display, HTML\n",
+        "def pretty_print(df):\n",
+        "    return display(HTML( df.to_html().replace(\"\\\\n\",\"<br>\")))"
+      ],
+      "metadata": {
+        "id": "T8sDqf9870dh"
+      },
+      "execution_count": 3,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Installing EvaDB and XGBoost dependencies\n",
+        "<a id='install_evadb'></a>\n",
+        "We install EvaDB along with the necessary PostgreSQL and XGBoost dependencies."
+      ],
+      "metadata": {
+        "id": "cgkNFXEnZ1jI"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "%pip install --quiet \"evadb[postgres,xgboost] @ git+https://github.com/georgia-tech-db/evadb.git@703dc9460e499a693ee83bfefe9fe49918499159\"\n",
+        "\n",
+        "import evadb\n",
+        "cursor = evadb.connect().cursor()"
+      ],
+      "metadata": {
+        "id": "Kf2xgkvr76bZ"
+      },
+      "execution_count": 4,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Load data into PostgresSQL"
+      ],
+      "metadata": {
+        "id": "gtzlHzn0aC3F"
+      }
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### Setting up a Data Source in EvaDB\n",
+        "To establish a direct connection between EvaDB and underlying database systems such as PostgreSQL, we will create a data source. This process entails supplying EvaDB with the connection credentials for the active PostgreSQL server."
+      ],
+      "metadata": {
+        "id": "eHUbzlvXaZIC"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "params = {\n",
+        "    \"user\": \"eva\",\n",
+        "    \"password\": \"password\",\n",
+        "    \"host\": \"localhost\",\n",
+        "    \"port\": \"5432\",\n",
+        "    \"database\": \"evadb\",\n",
+        "}\n",
+        "query = f\"CREATE DATABASE postgres_data WITH ENGINE = 'postgres', PARAMETERS = {params};\"\n",
+        "cursor.query(query).df()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 640
+        },
+        "id": "sE_Q8-mM795g",
+        "outputId": "302c4336-a78c-4072-a3ce-0c904e3d0051"
+      },
+      "execution_count": 5,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "10-27-2023 05:16:54 ERROR [plan_executor:plan_executor.py:execute_plan:0179] postgres_data already exists.\n",
+            "Traceback (most recent call last):\n",
+            "  File \"/usr/local/lib/python3.10/dist-packages/evadb/executor/plan_executor.py\", line 175, in execute_plan\n",
+            "    yield from output\n",
+            "  File \"/usr/local/lib/python3.10/dist-packages/evadb/executor/create_database_executor.py\", line 42, in exec\n",
+            "    raise ExecutorError(f\"{self.node.database_name} already exists.\")\n",
+            "evadb.executor.executor_utils.ExecutorError: postgres_data already exists.\n",
+            "ERROR:evadb.utils.logging_manager:postgres_data already exists.\n",
+            "Traceback (most recent call last):\n",
+            "  File \"/usr/local/lib/python3.10/dist-packages/evadb/executor/plan_executor.py\", line 175, in execute_plan\n",
+            "    yield from output\n",
+            "  File \"/usr/local/lib/python3.10/dist-packages/evadb/executor/create_database_executor.py\", line 42, in exec\n",
+            "    raise ExecutorError(f\"{self.node.database_name} already exists.\")\n",
+            "evadb.executor.executor_utils.ExecutorError: postgres_data already exists.\n"
+          ]
+        },
+        {
+          "output_type": "error",
+          "ename": "ExecutorError",
+          "evalue": "ignored",
+          "traceback": [
+            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+            "\u001b[0;31mExecutorError\u001b[0m                             Traceback (most recent call last)",
+            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/evadb/executor/plan_executor.py\u001b[0m in \u001b[0;36mexecute_plan\u001b[0;34m(self, do_not_raise_exceptions, do_not_print_exceptions)\u001b[0m\n\u001b[1;32m    174\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0moutput\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 175\u001b[0;31m                 \u001b[0;32myield\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0moutput\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    176\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/evadb/executor/create_database_executor.py\u001b[0m in \u001b[0;36mexec\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m     41\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 42\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mExecutorError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"{self.node.database_name} already exists.\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     43\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;31mExecutorError\u001b[0m: postgres_data already exists.",
+            "\nDuring handling of the above exception, another exception occurred:\n",
+            "\u001b[0;31mExecutorError\u001b[0m                             Traceback (most recent call last)",
+            "\u001b[0;32m<ipython-input-5-28b234e6d6df>\u001b[0m in \u001b[0;36m<cell line: 9>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      7\u001b[0m }\n\u001b[1;32m      8\u001b[0m \u001b[0mquery\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34mf\"CREATE DATABASE postgres_data WITH ENGINE = 'postgres', PARAMETERS = {params};\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 9\u001b[0;31m \u001b[0mcursor\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mquery\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mquery\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/evadb/interfaces/relational/relation.py\u001b[0m in \u001b[0;36mdf\u001b[0;34m(self, drop_alias)\u001b[0m\n\u001b[1;32m    121\u001b[0m             \u001b[0;36m2\u001b[0m      \u001b[0;36m5\u001b[0m     \u001b[0;36m6\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    122\u001b[0m         \"\"\"\n\u001b[0;32m--> 123\u001b[0;31m         \u001b[0mbatch\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexecute\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdrop_alias\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdrop_alias\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    124\u001b[0m         \u001b[0;32massert\u001b[0m \u001b[0mbatch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mframes\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"relation execute failed\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    125\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mbatch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mframes\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/evadb/interfaces/relational/relation.py\u001b[0m in \u001b[0;36mexecute\u001b[0;34m(self, drop_alias)\u001b[0m\n\u001b[1;32m    139\u001b[0m             \u001b[0;34m>>\u001b[0m\u001b[0;34m>\u001b[0m \u001b[0mbatch\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcursor\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mquery\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"SELECT * FROM MyTable;\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexecute\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    140\u001b[0m         \"\"\"\n\u001b[0;32m--> 141\u001b[0;31m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mexecute_statement\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_evadb\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_query_node\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    142\u001b[0m         \u001b[0;31m# TODO: this is a dirty implementation. Ideally this should be done in the final projection.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    143\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mdrop_alias\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/evadb/server/command_handler.py\u001b[0m in \u001b[0;36mexecute_statement\u001b[0;34m(evadb, stmt, do_not_raise_exceptions, do_not_print_exceptions, **kwargs)\u001b[0m\n\u001b[1;32m     51\u001b[0m     )\n\u001b[1;32m     52\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0moutput\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 53\u001b[0;31m         \u001b[0mbatch_list\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moutput\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     54\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mBatch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconcat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbatch_list\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     55\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/evadb/executor/plan_executor.py\u001b[0m in \u001b[0;36mexecute_plan\u001b[0;34m(self, do_not_raise_exceptions, do_not_print_exceptions)\u001b[0m\n\u001b[1;32m    178\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mdo_not_print_exceptions\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    179\u001b[0m                     \u001b[0mlogger\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexception\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 180\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mExecutorError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+            "\u001b[0;31mExecutorError\u001b[0m: postgres_data already exists."
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Training Classification Models using EVADB\n",
+        "\n",
+        "Next, we employ EvaDB to facilitate the training of Classification ML models, which will enable us to predict `leave_or_not` i.e. a variable depicting whether an employee will leave the current company or not based on several parameters."
+      ],
+      "metadata": {
+        "id": "ZDVPDGqjfrch"
+      }
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### Loading Employee Data from CSV into PostgreSQL\n",
+        "\n",
+        "In this step, we will import the [Employee Data](https://www.kaggle.com/datasets/tawfikelmetwally/employee-dataset) dataset into our PostgreSQL database. If you already have the data stored in PostgreSQL and are ready to proceed with the prediction model training, feel free to skip this section and head directly to the [model training process](#train-the-prediction-model)."
+      ],
+      "metadata": {
+        "id": "ODq5QPC3gp5U"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!mkdir -p content\n",
+        "!wget -nc -O /content/Employee.csv https://drive.google.com/file/d/1R4ij5Ww6bOGwLJrbBStzcaPRhAJ-fn72/view?usp=share_link"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "MlJ4adTuiDUF",
+        "outputId": "e99e9500-dec6-4543-ca32-c113f488d941"
+      },
+      "execution_count": 6,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "--2023-10-27 04:16:45--  https://drive.google.com/file/d/1R4ij5Ww6bOGwLJrbBStzcaPRhAJ-fn72/view?usp=share_link\n",
+            "Resolving drive.google.com (drive.google.com)... 172.253.123.139, 172.253.123.101, 172.253.123.138, ...\n",
+            "Connecting to drive.google.com (drive.google.com)|172.253.123.139|:443... connected.\n",
+            "HTTP request sent, awaiting response... 200 OK\n",
+            "Length: unspecified [text/html]\n",
+            "Saving to: ‘/content/Employee.csv’\n",
+            "\n",
+            "/content/Employee.c     [ <=>                ]  81.89K  --.-KB/s    in 0.001s  \n",
+            "\n",
+            "2023-10-27 04:16:45 (60.3 MB/s) - ‘/content/Employee.csv’ saved [83856]\n",
+            "\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "cursor.query(\"\"\"\n",
+        "  USE postgres_data {\n",
+        "    CREATE TABLE IF NOT EXISTS employee_data (\n",
+        "      education VARCHAR(128),\n",
+        "      joining_year INTEGER,\n",
+        "      city VARCHAR(128),\n",
+        "      payment_tier INTEGER,\n",
+        "      age INTEGER,\n",
+        "      gender VARCHAR(128),\n",
+        "      ever_benched VARCHAR(128),\n",
+        "      experience_in_current_domain INTEGER,\n",
+        "      leave_or_not INTEGER\n",
+        "    )\n",
+        "  }\n",
+        "\"\"\").df()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 80
+        },
+        "id": "g_KW1uc2iNdv",
+        "outputId": "3de42b0f-ed74-4083-823f-2b4373e70e59"
+      },
+      "execution_count": 6,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "    status\n",
+              "0  success"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-21865ea9-59e5-4d88-99c8-8a78aae6614d\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>status</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>success</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-21865ea9-59e5-4d88-99c8-8a78aae6614d')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-21865ea9-59e5-4d88-99c8-8a78aae6614d button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-21865ea9-59e5-4d88-99c8-8a78aae6614d');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 6
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "cursor.query(\"\"\"\n",
+        "  USE postgres_data {\n",
+        "    COPY employee_data(education, joining_year, city, payment_tier, age, gender, ever_benched, experience_in_current_domain, leave_or_not)\n",
+        "    FROM '/content/Employee.csv'\n",
+        "    DELIMITER ',' CSV HEADER\n",
+        "  }\n",
+        "\"\"\").df()"
+      ],
+      "metadata": {
+        "id": "xcnQHGN31b7z",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 80
+        },
+        "outputId": "3a0aac1d-6484-40c7-d163-9611fa045ab6"
+      },
+      "execution_count": 7,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "    status\n",
+              "0  success"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-d1cdfaf6-c4d2-4655-a8da-60b94b4907cd\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>status</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>success</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d1cdfaf6-c4d2-4655-a8da-60b94b4907cd')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-d1cdfaf6-c4d2-4655-a8da-60b94b4907cd button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-d1cdfaf6-c4d2-4655-a8da-60b94b4907cd');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 7
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "cursor.query(\"SELECT * FROM postgres_data.employee_data LIMIT 3;\").df()"
+      ],
+      "metadata": {
+        "id": "Ugj7wEsa43-K",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 142
+        },
+        "outputId": "ed775c3b-456f-4e9e-e33b-8797aaafd2d6"
+      },
+      "execution_count": 8,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "   leave_or_not  joining_year  payment_tier  age  \\\n",
+              "0             0          2017             3   34   \n",
+              "1             1          2013             1   28   \n",
+              "2             0          2014             3   38   \n",
+              "\n",
+              "   experience_in_current_domain  gender       city ever_benched  education  \n",
+              "0                             0    Male  Bangalore           No  Bachelors  \n",
+              "1                             3  Female       Pune           No  Bachelors  \n",
+              "2                             2  Female  New Delhi           No  Bachelors  "
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-4ebfc7a2-5574-430e-a2d1-46e962e90221\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
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+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>leave_or_not</th>\n",
+              "      <th>joining_year</th>\n",
+              "      <th>payment_tier</th>\n",
+              "      <th>age</th>\n",
+              "      <th>experience_in_current_domain</th>\n",
+              "      <th>gender</th>\n",
+              "      <th>city</th>\n",
+              "      <th>ever_benched</th>\n",
+              "      <th>education</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>0</td>\n",
+              "      <td>2017</td>\n",
+              "      <td>3</td>\n",
+              "      <td>34</td>\n",
+              "      <td>0</td>\n",
+              "      <td>Male</td>\n",
+              "      <td>Bangalore</td>\n",
+              "      <td>No</td>\n",
+              "      <td>Bachelors</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>1</td>\n",
+              "      <td>2013</td>\n",
+              "      <td>1</td>\n",
+              "      <td>28</td>\n",
+              "      <td>3</td>\n",
+              "      <td>Female</td>\n",
+              "      <td>Pune</td>\n",
+              "      <td>No</td>\n",
+              "      <td>Bachelors</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>0</td>\n",
+              "      <td>2014</td>\n",
+              "      <td>3</td>\n",
+              "      <td>38</td>\n",
+              "      <td>2</td>\n",
+              "      <td>Female</td>\n",
+              "      <td>New Delhi</td>\n",
+              "      <td>No</td>\n",
+              "      <td>Bachelors</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4ebfc7a2-5574-430e-a2d1-46e962e90221')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
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+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
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+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-4ebfc7a2-5574-430e-a2d1-46e962e90221 button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-4ebfc7a2-5574-430e-a2d1-46e962e90221');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "\n",
+              "<div id=\"df-4d19bead-e644-44f7-9f4a-0ec081f3e03d\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-4d19bead-e644-44f7-9f4a-0ec081f3e03d')\"\n",
+              "            title=\"Suggest charts.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "  </button>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "      --bg-color: #E8F0FE;\n",
+              "      --fill-color: #1967D2;\n",
+              "      --hover-bg-color: #E2EBFA;\n",
+              "      --hover-fill-color: #174EA6;\n",
+              "      --disabled-fill-color: #AAA;\n",
+              "      --disabled-bg-color: #DDD;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "      --bg-color: #3B4455;\n",
+              "      --fill-color: #D2E3FC;\n",
+              "      --hover-bg-color: #434B5C;\n",
+              "      --hover-fill-color: #FFFFFF;\n",
+              "      --disabled-bg-color: #3B4455;\n",
+              "      --disabled-fill-color: #666;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: var(--bg-color);\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: var(--fill-color);\n",
+              "    height: 32px;\n",
+              "    padding: 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: var(--hover-bg-color);\n",
+              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: var(--button-hover-fill-color);\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart-complete:disabled,\n",
+              "  .colab-df-quickchart-complete:disabled:hover {\n",
+              "    background-color: var(--disabled-bg-color);\n",
+              "    fill: var(--disabled-fill-color);\n",
+              "    box-shadow: none;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-spinner {\n",
+              "    border: 2px solid var(--fill-color);\n",
+              "    border-color: transparent;\n",
+              "    border-bottom-color: var(--fill-color);\n",
+              "    animation:\n",
+              "      spin 1s steps(1) infinite;\n",
+              "  }\n",
+              "\n",
+              "  @keyframes spin {\n",
+              "    0% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "      border-left-color: var(--fill-color);\n",
+              "    }\n",
+              "    20% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    30% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    40% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    60% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    80% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "    90% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "  <script>\n",
+              "    async function quickchart(key) {\n",
+              "      const quickchartButtonEl =\n",
+              "        document.querySelector('#' + key + ' button');\n",
+              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
+              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
+              "      try {\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      } catch (error) {\n",
+              "        console.error('Error during call to suggestCharts:', error);\n",
+              "      }\n",
+              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
+              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
+              "    }\n",
+              "    (() => {\n",
+              "      let quickchartButtonEl =\n",
+              "        document.querySelector('#df-4d19bead-e644-44f7-9f4a-0ec081f3e03d button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 8
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### Train the prediction Model\n",
+        "Train the XGBoost AutoML model for classification using the `accuracy` metric"
+      ],
+      "metadata": {
+        "id": "1AtF1AtT4OC0"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "cursor.query(\"\"\"\n",
+        "  CREATE FUNCTION IF NOT EXISTS PredictEmployee FROM\n",
+        "    ( SELECT payment_tier, age, gender, experience_in_current_domain, leave_or_not FROM postgres_data.employee_data )\n",
+        "    TYPE XGBoost\n",
+        "    PREDICT 'leave_or_not'\n",
+        "    TIME_LIMIT 180\n",
+        "    METRIC 'accuracy'\n",
+        "    TASK 'classification';\n",
+        "\"\"\").df()"
+      ],
+      "metadata": {
+        "id": "NUbo47cG33cp",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1000
+        },
+        "outputId": "c8d957d3-7e48-47a1-f48a-ae8f285c3ada"
+      },
+      "execution_count": 9,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "[flaml.automl.logger: 10-27 05:17:19] {1679} INFO - task = classification\n",
+            "[flaml.automl.logger: 10-27 05:17:19] {1690} INFO - Evaluation method: cv\n",
+            "[flaml.automl.logger: 10-27 05:17:19] {1788} INFO - Minimizing error metric: 1-accuracy\n",
+            "[flaml.automl.logger: 10-27 05:17:19] {1900} INFO - List of ML learners in AutoML Run: ['xgboost']\n",
+            "[flaml.automl.logger: 10-27 05:17:19] {2218} INFO - iteration 0, current learner xgboost\n",
+            "[flaml.automl.logger: 10-27 05:17:19] {2344} INFO - Estimated sufficient time budget=1155s. Estimated necessary time budget=1s.\n",
+            "[flaml.automl.logger: 10-27 05:17:19] {2391} INFO -  at 0.2s,\testimator xgboost's best error=0.3439,\tbest estimator xgboost's best error=0.3439\n",
+            "[flaml.automl.logger: 10-27 05:17:19] {2218} INFO - iteration 1, current learner xgboost\n",
+            "[flaml.automl.logger: 10-27 05:17:19] {2391} INFO -  at 0.3s,\testimator xgboost's best error=0.3439,\tbest estimator xgboost's best error=0.3439\n",
+            "[flaml.automl.logger: 10-27 05:17:19] {2218} INFO - iteration 2, current learner xgboost\n",
+            "[flaml.automl.logger: 10-27 05:17:19] {2391} INFO -  at 0.4s,\testimator xgboost's best error=0.2905,\tbest estimator xgboost's best error=0.2905\n",
+            "[flaml.automl.logger: 10-27 05:17:19] {2218} INFO - iteration 3, current learner xgboost\n",
+            "[flaml.automl.logger: 10-27 05:17:19] {2391} INFO -  at 0.5s,\testimator xgboost's best error=0.2885,\tbest estimator xgboost's best error=0.2885\n",
+            "[flaml.automl.logger: 10-27 05:17:19] {2218} INFO - iteration 4, current learner xgboost\n",
+            "[flaml.automl.logger: 10-27 05:17:19] {2391} INFO -  at 0.6s,\testimator xgboost's best error=0.2856,\tbest estimator xgboost's best error=0.2856\n",
+            "[flaml.automl.logger: 10-27 05:17:19] {2218} INFO - iteration 5, current learner xgboost\n",
+            "[flaml.automl.logger: 10-27 05:17:20] {2391} INFO -  at 0.7s,\testimator xgboost's best error=0.2856,\tbest estimator xgboost's best error=0.2856\n",
+            "[flaml.automl.logger: 10-27 05:17:20] {2218} INFO - iteration 6, current learner xgboost\n",
+            "[flaml.automl.logger: 10-27 05:17:20] {2391} INFO -  at 0.9s,\testimator xgboost's best error=0.2839,\tbest estimator xgboost's best error=0.2839\n",
+            "[flaml.automl.logger: 10-27 05:17:20] {2218} INFO - iteration 7, current learner xgboost\n",
+            "[flaml.automl.logger: 10-27 05:17:20] {2391} INFO -  at 1.0s,\testimator xgboost's best error=0.2839,\tbest estimator xgboost's best error=0.2839\n",
+            "[flaml.automl.logger: 10-27 05:17:20] {2218} INFO - iteration 8, current learner xgboost\n",
+            "[flaml.automl.logger: 10-27 05:17:20] {2391} INFO -  at 1.2s,\testimator xgboost's best error=0.2832,\tbest estimator xgboost's best error=0.2832\n",
+            "[flaml.automl.logger: 10-27 05:17:20] {2218} INFO - iteration 9, current learner xgboost\n",
+            "[flaml.automl.logger: 10-27 05:17:20] {2391} INFO -  at 1.3s,\testimator xgboost's best error=0.2832,\tbest estimator xgboost's best error=0.2832\n",
+            "[flaml.automl.logger: 10-27 05:17:20] {2218} INFO - iteration 10, current learner xgboost\n",
+            "[flaml.automl.logger: 10-27 05:17:20] {2391} INFO -  at 1.4s,\testimator xgboost's best error=0.2832,\tbest estimator xgboost's best error=0.2832\n",
+            "[flaml.automl.logger: 10-27 05:17:20] {2218} INFO - iteration 11, current learner xgboost\n",
+            "[flaml.automl.logger: 10-27 05:17:20] {2391} INFO -  at 1.6s,\testimator xgboost's best error=0.2832,\tbest estimator xgboost's best error=0.2832\n",
+            "[flaml.automl.logger: 10-27 05:17:20] {2218} INFO - iteration 12, current learner xgboost\n",
+            "[flaml.automl.logger: 10-27 05:17:21] {2391} INFO -  at 1.7s,\testimator xgboost's best error=0.2832,\tbest estimator xgboost's best error=0.2832\n",
+            "[flaml.automl.logger: 10-27 05:17:21] {2218} INFO - iteration 13, current learner xgboost\n",
+            "[flaml.automl.logger: 10-27 05:17:21] {2391} INFO -  at 1.8s,\testimator xgboost's best error=0.2826,\tbest estimator xgboost's best error=0.2826\n",
+            "[flaml.automl.logger: 10-27 05:17:21] {2218} INFO - iteration 14, current learner xgboost\n",
+            "[flaml.automl.logger: 10-27 05:17:21] {2391} INFO -  at 2.0s,\testimator xgboost's best error=0.2826,\tbest estimator xgboost's best error=0.2826\n",
+            "[flaml.automl.logger: 10-27 05:17:21] {2218} INFO - iteration 15, current learner xgboost\n",
+            "[flaml.automl.logger: 10-27 05:17:21] {2391} INFO -  at 2.1s,\testimator xgboost's best error=0.2826,\tbest estimator xgboost's best error=0.2826\n",
+            "[flaml.automl.logger: 10-27 05:17:21] {2218} INFO - iteration 16, current learner xgboost\n",
+            "[flaml.automl.logger: 10-27 05:17:21] {2391} INFO -  at 2.2s,\testimator xgboost's best error=0.2826,\tbest estimator xgboost's best error=0.2826\n",
+            "[flaml.automl.logger: 10-27 05:17:21] {2218} INFO - iteration 17, current learner xgboost\n",
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+            "[flaml.automl.logger: 10-27 05:20:19] {2627} INFO - retrain xgboost for 0.0s\n",
+            "[flaml.automl.logger: 10-27 05:20:19] {2630} INFO - retrained model: XGBClassifier(base_score=None, booster=None, callbacks=[],\n",
+            "              colsample_bylevel=0.9903174356318001, colsample_bynode=None,\n",
+            "              colsample_bytree=1.0, device=None, early_stopping_rounds=None,\n",
+            "              enable_categorical=False, eval_metric=None, feature_types=None,\n",
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+            "              max_delta_step=None, max_depth=0, max_leaves=28,\n",
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+            "              monotone_constraints=None, multi_strategy=None, n_estimators=18,\n",
+            "              n_jobs=-1, num_parallel_tree=None, random_state=None, ...)\n",
+            "[flaml.automl.logger: 10-27 05:20:19] {1930} INFO - fit succeeded\n",
+            "[flaml.automl.logger: 10-27 05:20:19] {1931} INFO - Time taken to find the best model: 178.4095482826233\n"
+          ]
+        },
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+              "                                                 0\n",
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+          "metadata": {},
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+    {
+      "cell_type": "markdown",
+      "source": [
+        "### Utilizing the Prediction Model\n",
+        "Following the model training, we proceed to employ the `PredictEmployee` model to make predictions for whether the employee will leave or not."
+      ],
+      "metadata": {
+        "id": "Fc2eLIEB61Pj"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "cursor.query(\"SELECT PredictEmployee(payment_tier, age, gender, experience_in_current_domain, leave_or_not) FROM postgres_data.employee_data LIMIT 10;\").df()"
+      ],
+      "metadata": {
+        "id": "MzSDNiSt6vGb",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 359
+        },
+        "outputId": "43c16ef5-0b63-4477-d2d1-79cb1ff84650"
+      },
+      "execution_count": 11,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "   leave_or_not\n",
+              "0             0\n",
+              "1             1\n",
+              "2             0\n",
+              "3             0\n",
+              "4             0\n",
+              "5             0\n",
+              "6             0\n",
+              "7             0\n",
+              "8             0\n",
+              "9             0"
+            ],
+            "text/html": [
+              "\n",
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+              "    .dataframe tbody tr th:only-of-type {\n",
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+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>leave_or_not</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
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+              "    <div class=\"colab-df-buttons\">\n",
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+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
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+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
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+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
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+              "  </style>\n",
+              "\n",
+              "    <script>\n",
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+              "        document.querySelector('#df-dc47d1ef-3cfb-4c8e-be57-1a1eb822531b button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-dc47d1ef-3cfb-4c8e-be57-1a1eb822531b');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "\n",
+              "<div id=\"df-3679a693-a2be-46d3-a758-8fc79ce81682\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-3679a693-a2be-46d3-a758-8fc79ce81682')\"\n",
+              "            title=\"Suggest charts.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
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+              "    </g>\n",
+              "</svg>\n",
+              "  </button>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "      --bg-color: #E8F0FE;\n",
+              "      --fill-color: #1967D2;\n",
+              "      --hover-bg-color: #E2EBFA;\n",
+              "      --hover-fill-color: #174EA6;\n",
+              "      --disabled-fill-color: #AAA;\n",
+              "      --disabled-bg-color: #DDD;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "      --bg-color: #3B4455;\n",
+              "      --fill-color: #D2E3FC;\n",
+              "      --hover-bg-color: #434B5C;\n",
+              "      --hover-fill-color: #FFFFFF;\n",
+              "      --disabled-bg-color: #3B4455;\n",
+              "      --disabled-fill-color: #666;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: var(--bg-color);\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: var(--fill-color);\n",
+              "    height: 32px;\n",
+              "    padding: 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: var(--hover-bg-color);\n",
+              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: var(--button-hover-fill-color);\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart-complete:disabled,\n",
+              "  .colab-df-quickchart-complete:disabled:hover {\n",
+              "    background-color: var(--disabled-bg-color);\n",
+              "    fill: var(--disabled-fill-color);\n",
+              "    box-shadow: none;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-spinner {\n",
+              "    border: 2px solid var(--fill-color);\n",
+              "    border-color: transparent;\n",
+              "    border-bottom-color: var(--fill-color);\n",
+              "    animation:\n",
+              "      spin 1s steps(1) infinite;\n",
+              "  }\n",
+              "\n",
+              "  @keyframes spin {\n",
+              "    0% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "      border-left-color: var(--fill-color);\n",
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+              "    }\n",
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+              "      border-right-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
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+              "    60% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    80% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "    90% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "  <script>\n",
+              "    async function quickchart(key) {\n",
+              "      const quickchartButtonEl =\n",
+              "        document.querySelector('#' + key + ' button');\n",
+              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
+              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
+              "      try {\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      } catch (error) {\n",
+              "        console.error('Error during call to suggestCharts:', error);\n",
+              "      }\n",
+              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
+              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
+              "    }\n",
+              "    (() => {\n",
+              "      let quickchartButtonEl =\n",
+              "        document.querySelector('#df-3679a693-a2be-46d3-a758-8fc79ce81682 button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 11
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Perform `LATERAL JOIN` to compare the query performance."
+      ],
+      "metadata": {
+        "id": "5HUngUJ4lWrA"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "cursor.query(\"\"\"\n",
+        "  SELECT leave_or_not, predicted_leave_or_not FROM postgres_data.employee_data\n",
+        "  JOIN LATERAL PredictEmployee(*) AS Predicted(predicted_leave_or_not) LIMIT 10;\n",
+        "\"\"\").df()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 359
+        },
+        "id": "hjWemGHJk-0A",
+        "outputId": "fdc5e548-af80-4f72-cb18-f091e980835a"
+      },
+      "execution_count": 12,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "   leave_or_not  predicted_leave_or_not\n",
+              "0             0                       0\n",
+              "1             1                       1\n",
+              "2             0                       0\n",
+              "3             1                       0\n",
+              "4             1                       0\n",
+              "5             0                       0\n",
+              "6             0                       0\n",
+              "7             1                       0\n",
+              "8             0                       0\n",
+              "9             0                       0"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-24bc3c79-28d4-4d76-88f8-e1a79ce81eb9\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
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+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
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+              "\n",
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+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>leave_or_not</th>\n",
+              "      <th>predicted_leave_or_not</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
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+              "    <tr>\n",
+              "      <th>6</th>\n",
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+              "\n",
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+              "            style=\"display:none;\">\n",
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+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-24bc3c79-28d4-4d76-88f8-e1a79ce81eb9 button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-24bc3c79-28d4-4d76-88f8-e1a79ce81eb9');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "\n",
+              "<div id=\"df-09e11e00-0a97-484b-959d-086b36e41c2e\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-09e11e00-0a97-484b-959d-086b36e41c2e')\"\n",
+              "            title=\"Suggest charts.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "  </button>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "      --bg-color: #E8F0FE;\n",
+              "      --fill-color: #1967D2;\n",
+              "      --hover-bg-color: #E2EBFA;\n",
+              "      --hover-fill-color: #174EA6;\n",
+              "      --disabled-fill-color: #AAA;\n",
+              "      --disabled-bg-color: #DDD;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "      --bg-color: #3B4455;\n",
+              "      --fill-color: #D2E3FC;\n",
+              "      --hover-bg-color: #434B5C;\n",
+              "      --hover-fill-color: #FFFFFF;\n",
+              "      --disabled-bg-color: #3B4455;\n",
+              "      --disabled-fill-color: #666;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: var(--bg-color);\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: var(--fill-color);\n",
+              "    height: 32px;\n",
+              "    padding: 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: var(--hover-bg-color);\n",
+              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: var(--button-hover-fill-color);\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart-complete:disabled,\n",
+              "  .colab-df-quickchart-complete:disabled:hover {\n",
+              "    background-color: var(--disabled-bg-color);\n",
+              "    fill: var(--disabled-fill-color);\n",
+              "    box-shadow: none;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-spinner {\n",
+              "    border: 2px solid var(--fill-color);\n",
+              "    border-color: transparent;\n",
+              "    border-bottom-color: var(--fill-color);\n",
+              "    animation:\n",
+              "      spin 1s steps(1) infinite;\n",
+              "  }\n",
+              "\n",
+              "  @keyframes spin {\n",
+              "    0% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "      border-left-color: var(--fill-color);\n",
+              "    }\n",
+              "    20% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    30% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    40% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    60% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    80% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "    90% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "  <script>\n",
+              "    async function quickchart(key) {\n",
+              "      const quickchartButtonEl =\n",
+              "        document.querySelector('#' + key + ' button');\n",
+              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
+              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
+              "      try {\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      } catch (error) {\n",
+              "        console.error('Error during call to suggestCharts:', error);\n",
+              "      }\n",
+              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
+              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
+              "    }\n",
+              "    (() => {\n",
+              "      let quickchartButtonEl =\n",
+              "        document.querySelector('#df-09e11e00-0a97-484b-959d-086b36e41c2e button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 12
+        }
+      ]
+    }
+  ]
+}
\ No newline at end of file

From 60f4b68162b3556c1ac891991d24d5dadafcccff Mon Sep 17 00:00:00 2001
From: Hersh Dhillon <hershdhillon23@gmail.com>
Date: Fri, 27 Oct 2023 03:16:18 -0400
Subject: [PATCH 29/64] Added docs for SET and SHOW CONFIG query (#1323)

Resolved #1312 partially, limited to the SQL queries themselves
---
 docs/_toc.yml                               |  2 ++
 docs/source/reference/evaql/set_config.rst  | 11 +++++++++++
 docs/source/reference/evaql/show_config.rst | 11 +++++++++++
 3 files changed, 24 insertions(+)
 create mode 100644 docs/source/reference/evaql/set_config.rst
 create mode 100644 docs/source/reference/evaql/show_config.rst

diff --git a/docs/_toc.yml b/docs/_toc.yml
index 9fca93eac0..864bab2fc2 100644
--- a/docs/_toc.yml
+++ b/docs/_toc.yml
@@ -47,6 +47,8 @@ parts:
           - file: source/reference/evaql/select
           - file: source/reference/evaql/explain
           - file: source/reference/evaql/show_functions
+          - file: source/reference/evaql/show_config
+          - file: source/reference/evaql/set_config
           - file: source/reference/evaql/create_database
           - file: source/reference/evaql/create_function
           - file: source/reference/evaql/create_index
diff --git a/docs/source/reference/evaql/set_config.rst b/docs/source/reference/evaql/set_config.rst
new file mode 100644
index 0000000000..599fe0fc04
--- /dev/null
+++ b/docs/source/reference/evaql/set_config.rst
@@ -0,0 +1,11 @@
+SET CONFIG
+==============
+
+.. _set_config:
+
+Sets the value of a configuration parameter to the passed value. Both `TO` and `=` are valid assignment operators.
+
+.. code:: sql
+
+    SET OPENAI_KEY TO "abc";
+    SET OPENAI_KEY = "abc";
\ No newline at end of file
diff --git a/docs/source/reference/evaql/show_config.rst b/docs/source/reference/evaql/show_config.rst
new file mode 100644
index 0000000000..2991f4c28e
--- /dev/null
+++ b/docs/source/reference/evaql/show_config.rst
@@ -0,0 +1,11 @@
+SHOW CONFIG
+==============
+
+.. _show_config:
+
+Returns the value of a specified configuration parameter.
+
+.. code:: sql
+
+    SHOW <parameter_name>;
+    SHOW OPENAI_KEY;

From 9a206b878fd764f59084cbdc310a3b6045f8fc0d Mon Sep 17 00:00:00 2001
From: nidhi <nidhim214@gmail.com>
Date: Fri, 27 Oct 2023 21:47:56 -0400
Subject: [PATCH 30/64] REST API Documentation (#1321)

---
 docs/_toc.yml                      |  3 +++
 docs/source/reference/rest_api.rst | 41 ++++++++++++++++++++++++++++++
 2 files changed, 44 insertions(+)
 create mode 100644 docs/source/reference/rest_api.rst

diff --git a/docs/_toc.yml b/docs/_toc.yml
index 864bab2fc2..5f6eb65016 100644
--- a/docs/_toc.yml
+++ b/docs/_toc.yml
@@ -63,6 +63,9 @@ parts:
 
       - file: source/reference/api
         title: Python API
+      
+      - file: source/reference/rest_api
+        title: REST API
 
       - file: source/reference/databases/index
         title: Data Sources
diff --git a/docs/source/reference/rest_api.rst b/docs/source/reference/rest_api.rst
new file mode 100644
index 0000000000..a149f52147
--- /dev/null
+++ b/docs/source/reference/rest_api.rst
@@ -0,0 +1,41 @@
+.. _rest_api:
+
+REST API Usage 
+======================
+To start the EvaDB server, run the following command:
+
+.. code-block:: python
+
+    cd evadb/apps/rest
+    python run_evadb.py
+
+Now that the server is setup, we can access EvaDB through REST APIs using two endpoints shown below:
+
+Query API
+
+Here's an example to run a QUERY locally using the API in python.
+
+.. code-block:: python
+
+    import requests
+    query_url = "http://127.0.0.1:5000/query"
+    response = requests.post(query_url, {'query':'Select * from data;'})
+    print(response.json())
+
+Upload API
+
+1️⃣ Users can upload any files of type {'txt', 'pdf', 'png', 'jpg', 'jpeg', 'gif', 'mp3'} to the EVA DB server.
+Here's an example to upload a local file using the API in python.
+
+.. code-block:: python
+    
+    import requests
+    query_url = "http://127.0.0.1:5000/upload"
+    myfiles = {'file': open('<path to file>' ,'rb')}
+    response = requests.post(load_url, files = myfiles)
+    print(response.json())
+
+2️⃣ Users can also paste the above url in the browser, and the user can upload the document through "upload" button.
+
+3️⃣ The files are stored in the file section which can then be accessed through the query API using the LOAD query.
+

From fae70018faac83d98470194fe598d7d158762f2f Mon Sep 17 00:00:00 2001
From: Chitti Ankith <chittiankith@gmail.com>
Date: Sat, 28 Oct 2023 07:28:31 -0400
Subject: [PATCH 31/64] String Helper functions in EvaDB (#1322)

Added some string helper functions that were missing based on student
feedback. This PR adds support for UPPER, LOWER and CONCAT.

Queries of the form are now supported:

`SELECT CONCAT(UPPER(col1), LOWER(col2), "SOME_SUFFIX") FROM TABLE1`
---
 evadb/functions/function_bootstrap_queries.py |  27 +++++
 evadb/functions/helpers/concat.py             |  38 ++++++
 evadb/functions/helpers/lower.py              |  38 ++++++
 evadb/functions/helpers/upper.py              |  38 ++++++
 .../helpers/test_str_helper_functions.py      | 108 ++++++++++++++++++
 5 files changed, 249 insertions(+)
 create mode 100644 evadb/functions/helpers/concat.py
 create mode 100644 evadb/functions/helpers/lower.py
 create mode 100644 evadb/functions/helpers/upper.py
 create mode 100644 test/integration_tests/long/functions/helpers/test_str_helper_functions.py

diff --git a/evadb/functions/function_bootstrap_queries.py b/evadb/functions/function_bootstrap_queries.py
index 0bf7c4ed90..f8186d4dd3 100644
--- a/evadb/functions/function_bootstrap_queries.py
+++ b/evadb/functions/function_bootstrap_queries.py
@@ -214,6 +214,30 @@
     EvaDB_INSTALLATION_DIR
 )
 
+Upper_function_query = """CREATE FUNCTION IF NOT EXISTS UPPER
+        INPUT  (input ANYTYPE)
+        OUTPUT (output NDARRAY STR(ANYDIM))
+        IMPL '{}/functions/helpers/upper.py';
+        """.format(
+    EvaDB_INSTALLATION_DIR
+)
+
+Lower_function_query = """CREATE FUNCTION IF NOT EXISTS LOWER
+        INPUT  (input ANYTYPE)
+        OUTPUT (output NDARRAY STR(ANYDIM))
+        IMPL '{}/functions/helpers/lower.py';
+        """.format(
+    EvaDB_INSTALLATION_DIR
+)
+
+Concat_function_query = """CREATE FUNCTION IF NOT EXISTS CONCAT
+        INPUT  (input ANYTYPE)
+        OUTPUT (output NDARRAY STR(ANYDIM))
+        IMPL '{}/functions/helpers/concat.py';
+        """.format(
+    EvaDB_INSTALLATION_DIR
+)
+
 
 def init_builtin_functions(db: EvaDBDatabase, mode: str = "debug") -> None:
     """Load the built-in functions into the system during system bootstrapping.
@@ -261,6 +285,9 @@ def init_builtin_functions(db: EvaDBDatabase, mode: str = "debug") -> None:
         Yolo_function_query,
         stablediffusion_function_query,
         dalle_function_query,
+        Upper_function_query,
+        Lower_function_query,
+        Concat_function_query,
     ]
 
     # if mode is 'debug', add debug functions
diff --git a/evadb/functions/helpers/concat.py b/evadb/functions/helpers/concat.py
new file mode 100644
index 0000000000..7fdfcc5f2c
--- /dev/null
+++ b/evadb/functions/helpers/concat.py
@@ -0,0 +1,38 @@
+# coding=utf-8
+# Copyright 2018-2023 EvaDB
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import pandas as pd
+
+from evadb.functions.abstract.abstract_function import AbstractFunction
+
+
+class Concat(AbstractFunction):
+    def setup(self):
+        pass
+
+    @property
+    def name(self):
+        return "CONCAT"
+
+    def forward(self, df: pd.DataFrame) -> pd.DataFrame:
+        """
+        Concats all the df values into one.
+
+        Returns:
+            ret (pd.DataFrame): Concatenated string.
+        """
+
+        ret = pd.DataFrame()
+        ret["output"] = pd.Series(df.fillna("").values.tolist()).str.join("")
+        return ret
diff --git a/evadb/functions/helpers/lower.py b/evadb/functions/helpers/lower.py
new file mode 100644
index 0000000000..d8aced28e1
--- /dev/null
+++ b/evadb/functions/helpers/lower.py
@@ -0,0 +1,38 @@
+# coding=utf-8
+# Copyright 2018-2023 EvaDB
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import pandas as pd
+
+from evadb.functions.abstract.abstract_function import AbstractFunction
+
+
+class Lower(AbstractFunction):
+    def setup(self):
+        pass
+
+    @property
+    def name(self):
+        return "LOWER"
+
+    def forward(self, df: pd.DataFrame) -> pd.DataFrame:
+        """
+        Converts the string to Lower Case.
+
+        Returns:
+            ret (pd.DataFrame): String converted to Lower Case.
+        """
+
+        ret = pd.DataFrame()
+        ret["output"] = df.map(lambda s: s.lower() if type(s) is str else s)
+        return ret
diff --git a/evadb/functions/helpers/upper.py b/evadb/functions/helpers/upper.py
new file mode 100644
index 0000000000..e1d3a7e5c4
--- /dev/null
+++ b/evadb/functions/helpers/upper.py
@@ -0,0 +1,38 @@
+# coding=utf-8
+# Copyright 2018-2023 EvaDB
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import pandas as pd
+
+from evadb.functions.abstract.abstract_function import AbstractFunction
+
+
+class Upper(AbstractFunction):
+    def setup(self):
+        pass
+
+    @property
+    def name(self):
+        return "UPPER"
+
+    def forward(self, df: pd.DataFrame) -> pd.DataFrame:
+        """
+        Converts the string to Uppercase.
+
+        Returns:
+            ret (pd.DataFrame): String converted to Upper Case.
+        """
+
+        ret = pd.DataFrame()
+        ret["output"] = df.map(lambda s: s.upper() if type(s) is str else s)
+        return ret
diff --git a/test/integration_tests/long/functions/helpers/test_str_helper_functions.py b/test/integration_tests/long/functions/helpers/test_str_helper_functions.py
new file mode 100644
index 0000000000..3f5a499792
--- /dev/null
+++ b/test/integration_tests/long/functions/helpers/test_str_helper_functions.py
@@ -0,0 +1,108 @@
+# coding=utf-8
+# Copyright 2018-2023 EvaDB
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import unittest
+from test.util import get_evadb_for_testing
+
+from evadb.server.command_handler import execute_query_fetch_all
+
+
+class StrHelperTest(unittest.TestCase):
+    def setUp(self) -> None:
+        self.evadb = get_evadb_for_testing()
+        self.evadb.catalog().reset()
+        create_table_query = """CREATE TABLE IF NOT EXISTS Test (
+             input TEXT);
+                """
+        execute_query_fetch_all(self.evadb, create_table_query)
+
+        test_prompts = ["EvaDB"]
+
+        for prompt in test_prompts:
+            insert_query = f"""INSERT INTO Test (input) VALUES ('{prompt}')"""
+            execute_query_fetch_all(self.evadb, insert_query)
+
+    def tearDown(self) -> None:
+        execute_query_fetch_all(self.evadb, "DROP TABLE IF EXISTS Test;")
+
+    def test_upper_function(self):
+        function_name = "UPPER"
+        execute_query_fetch_all(self.evadb, f"DROP FUNCTION IF EXISTS {function_name};")
+        create_function_query = f"""CREATE FUNCTION IF NOT EXISTS {function_name}
+        INPUT  (inp ANYTYPE)
+        OUTPUT (output NDARRAY STR(ANYDIM))
+        TYPE HelperFunction
+        IMPL 'evadb/functions/helpers/upper.py';
+        """
+        execute_query_fetch_all(self.evadb, create_function_query)
+        query = "SELECT UPPER(input) FROM Test;"
+        output_batch = execute_query_fetch_all(self.evadb, query)
+        self.assertEqual(len(output_batch), 1)
+        self.assertEqual(output_batch.frames["upper.output"][0], "EVADB")
+
+        query = "SELECT UPPER('test5')"
+        output_batch = execute_query_fetch_all(self.evadb, query)
+        self.assertEqual(len(output_batch), 1)
+        self.assertEqual(output_batch.frames["upper.output"][0], "TEST5")
+
+    def test_lower_function(self):
+        function_name = "LOWER"
+        execute_query_fetch_all(self.evadb, f"DROP FUNCTION IF EXISTS {function_name};")
+        create_function_query = f"""CREATE FUNCTION IF NOT EXISTS {function_name}
+        INPUT  (inp ANYTYPE)
+        OUTPUT (output NDARRAY STR(ANYDIM))
+        TYPE HelperFunction
+        IMPL 'evadb/functions/helpers/lower.py';
+        """
+        execute_query_fetch_all(self.evadb, create_function_query)
+        query = "SELECT LOWER(input) FROM Test;"
+        output_batch = execute_query_fetch_all(self.evadb, query)
+        self.assertEqual(len(output_batch), 1)
+        self.assertEqual(output_batch.frames["lower.output"][0], "evadb")
+
+        query = "SELECT LOWER('TEST5')"
+        output_batch = execute_query_fetch_all(self.evadb, query)
+        self.assertEqual(len(output_batch), 1)
+        self.assertEqual(output_batch.frames["lower.output"][0], "test5")
+
+    def test_concat_function(self):
+        function_name = "CONCAT"
+        execute_query_fetch_all(self.evadb, f"DROP FUNCTION IF EXISTS {function_name};")
+        create_function_query = f"""CREATE FUNCTION IF NOT EXISTS {function_name}
+        INPUT  (inp ANYTYPE)
+        OUTPUT (output NDARRAY STR(ANYDIM))
+        TYPE HelperFunction
+        IMPL 'evadb/functions/helpers/concat.py';
+        """
+        execute_query_fetch_all(self.evadb, create_function_query)
+
+        execute_query_fetch_all(self.evadb, "DROP FUNCTION IF EXISTS UPPER;")
+        create_function_query = """CREATE FUNCTION IF NOT EXISTS UPPER
+        INPUT  (inp ANYTYPE)
+        OUTPUT (output NDARRAY STR(ANYDIM))
+        TYPE HelperFunction
+        IMPL 'evadb/functions/helpers/upper.py';
+        """
+
+        execute_query_fetch_all(self.evadb, create_function_query)
+        query = "SELECT CONCAT(UPPER('Eva'), 'DB');"
+        output_batch = execute_query_fetch_all(self.evadb, query)
+        self.assertEqual(len(output_batch), 1)
+        self.assertEqual(output_batch.frames["concat.output"][0], "EVADB")
+
+        query = "SELECT CONCAT(input, '.com') FROM Test;"
+        output_batch = execute_query_fetch_all(self.evadb, query)
+        self.assertEqual(len(output_batch), 1)
+        self.assertEqual(output_batch.frames["concat.output"][0], "EvaDB.com")

From 679b19350f2e49b5645995ed8c34950f84b56be2 Mon Sep 17 00:00:00 2001
From: Andy Xu <xzdandy@gmail.com>
Date: Sat, 28 Oct 2023 18:31:43 -0400
Subject: [PATCH 32/64] Skip 19-employee-classification-prediction.ipynb

---
 script/test/test.sh | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/script/test/test.sh b/script/test/test.sh
index 5b0f7c7eec..ae67efb62c 100644
--- a/script/test/test.sh
+++ b/script/test/test.sh
@@ -94,7 +94,7 @@ long_integration_test() {
 }
 
 notebook_test() {
-  PYTHONPATH=./ python -m pytest --durations=5 --nbmake --overwrite "./tutorials" --capture=sys --tb=short -v --log-level=WARNING --nbmake-timeout=3000 --ignore="tutorials/08-chatgpt.ipynb" --ignore="tutorials/14-food-review-tone-analysis-and-response.ipynb" --ignore="tutorials/15-AI-powered-join.ipynb" --ignore="tutorials/16-homesale-forecasting.ipynb" --ignore="tutorials/17-home-rental-prediction.ipynb" --ignore="tutorials/18-stable-diffusion.ipynb"
+  PYTHONPATH=./ python -m pytest --durations=5 --nbmake --overwrite "./tutorials" --capture=sys --tb=short -v --log-level=WARNING --nbmake-timeout=3000 --ignore="tutorials/08-chatgpt.ipynb" --ignore="tutorials/14-food-review-tone-analysis-and-response.ipynb" --ignore="tutorials/15-AI-powered-join.ipynb" --ignore="tutorials/16-homesale-forecasting.ipynb" --ignore="tutorials/17-home-rental-prediction.ipynb" --ignore="tutorials/18-stable-diffusion.ipynb" --ignore="tutorials/19-employee-classification-prediction.ipynb"
   code=$?
   print_error_code $code "NOTEBOOK TEST"
 }

From dc77d650e0c4380bd428a7191fe12b707de9c172 Mon Sep 17 00:00:00 2001
From: Andy Xu <xzdandy@gmail.com>
Date: Sat, 28 Oct 2023 18:43:16 -0400
Subject: [PATCH 33/64] Add data sources to README

---
 README.md | 16 +++++++++++++++-
 1 file changed, 15 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index b5642fc57e..036a3116cf 100644
--- a/README.md
+++ b/README.md
@@ -71,7 +71,21 @@
 </p>
 
 EvaDB enables software developers to build AI apps in a few lines of code. Its powerful SQL API simplifies AI app development for both structured and unstructured data. EvaDB's benefits include:
-- 🔮 Easy to connect EvaDB with your SQL database system and build AI-powered apps with SQL queries
+<details>
+<summary> 🔮 Easy to connect EvaDB with your <a href="https://evadb.readthedocs.io/en/stable/source/reference/databases/index.html">data sources</a>, such as PostgreSQL, S3, and Github, and build AI-powered apps with SQL queries </summary>
+- Structured Data Sources
+  - PostgreSQL
+  - SQLite
+  - MySQL
+  - MariaDB
+  - Clickhouse
+  - Snowflake
+- Unstructured Data Sources
+  - Local disk
+  - S3 bucket
+- Application Data Sources
+  - Github
+</details>
 - 🤝 Query your data with a pre-trained AI model from Hugging Face, OpenAI, YOLO, PyTorch, and other AI frameworks
 - ⚡️ Faster queries thanks to AI-centric query optimization
 - 💰 Save money spent on running models by efficient CPU/GPU use

From 51bc222f7369d6e0d4ec2c38947faef68f539c85 Mon Sep 17 00:00:00 2001
From: Andy Xu <xzdandy@gmail.com>
Date: Sat, 28 Oct 2023 18:44:12 -0400
Subject: [PATCH 34/64] Fix list

---
 README.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/README.md b/README.md
index 036a3116cf..725dc27417 100644
--- a/README.md
+++ b/README.md
@@ -73,6 +73,7 @@
 EvaDB enables software developers to build AI apps in a few lines of code. Its powerful SQL API simplifies AI app development for both structured and unstructured data. EvaDB's benefits include:
 <details>
 <summary> 🔮 Easy to connect EvaDB with your <a href="https://evadb.readthedocs.io/en/stable/source/reference/databases/index.html">data sources</a>, such as PostgreSQL, S3, and Github, and build AI-powered apps with SQL queries </summary>
+
 - Structured Data Sources
   - PostgreSQL
   - SQLite
@@ -86,6 +87,7 @@ EvaDB enables software developers to build AI apps in a few lines of code. Its p
 - Application Data Sources
   - Github
 </details>
+
 - 🤝 Query your data with a pre-trained AI model from Hugging Face, OpenAI, YOLO, PyTorch, and other AI frameworks
 - ⚡️ Faster queries thanks to AI-centric query optimization
 - 💰 Save money spent on running models by efficient CPU/GPU use

From fd92bba1e877db1d029406faeaed6d59ec3048e2 Mon Sep 17 00:00:00 2001
From: Andy Xu <xzdandy@gmail.com>
Date: Sat, 28 Oct 2023 18:50:06 -0400
Subject: [PATCH 35/64] Use table for side by side display

---
 README.md | 46 ++++++++++++++++++++++++++++++++--------------
 1 file changed, 32 insertions(+), 14 deletions(-)

diff --git a/README.md b/README.md
index 725dc27417..50c1d3f1ba 100644
--- a/README.md
+++ b/README.md
@@ -72,20 +72,38 @@
 
 EvaDB enables software developers to build AI apps in a few lines of code. Its powerful SQL API simplifies AI app development for both structured and unstructured data. EvaDB's benefits include:
 <details>
-<summary> 🔮 Easy to connect EvaDB with your <a href="https://evadb.readthedocs.io/en/stable/source/reference/databases/index.html">data sources</a>, such as PostgreSQL, S3, and Github, and build AI-powered apps with SQL queries </summary>
-
-- Structured Data Sources
-  - PostgreSQL
-  - SQLite
-  - MySQL
-  - MariaDB
-  - Clickhouse
-  - Snowflake
-- Unstructured Data Sources
-  - Local disk
-  - S3 bucket
-- Application Data Sources
-  - Github
+<summary> 🔮 Easy to <a href="https://evadb.readthedocs.io/en/latest/source/overview/connect-to-data-sources.html">connect EvaDB with your data sources</a>, such as PostgreSQL, S3, and Github, and build AI-powered apps with SQL queries </summary>
+
+<table>
+<tr>
+<th>Structured Data Sources</th>
+<th>Unstructured Data Sources</th>
+<th>Application Data Sources</th>
+</tr>
+<tr>
+<td>
+
+- PostgreSQL
+- SQLite
+- MySQL
+- MariaDB
+- Clickhouse
+- Snowflake
+
+</td>
+<td>
+
+- Local disk
+- S3 bucket
+
+</td>
+<td>
+
+- Github
+
+</td>
+</tr>
+</table>
 </details>
 
 - 🤝 Query your data with a pre-trained AI model from Hugging Face, OpenAI, YOLO, PyTorch, and other AI frameworks

From ed7809ec5e27caab696155b9be4ea88cebd63255 Mon Sep 17 00:00:00 2001
From: Andy Xu <xzdandy@gmail.com>
Date: Sat, 28 Oct 2023 18:53:41 -0400
Subject: [PATCH 36/64] Add link to make it looks better

---
 README.md | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 50c1d3f1ba..7dbab46e6d 100644
--- a/README.md
+++ b/README.md
@@ -73,7 +73,7 @@
 EvaDB enables software developers to build AI apps in a few lines of code. Its powerful SQL API simplifies AI app development for both structured and unstructured data. EvaDB's benefits include:
 <details>
 <summary> 🔮 Easy to <a href="https://evadb.readthedocs.io/en/latest/source/overview/connect-to-data-sources.html">connect EvaDB with your data sources</a>, such as PostgreSQL, S3, and Github, and build AI-powered apps with SQL queries </summary>
-
+<br/>
 <table>
 <tr>
 <th>Structured Data Sources</th>
@@ -104,6 +104,9 @@ EvaDB enables software developers to build AI apps in a few lines of code. Its p
 </td>
 </tr>
 </table>
+
+Check more details on each supported data sources at [Data Sources documentation page](https://evadb.readthedocs.io/en/latest/source/reference/databases/index.html).
+
 </details>
 
 - 🤝 Query your data with a pre-trained AI model from Hugging Face, OpenAI, YOLO, PyTorch, and other AI frameworks

From 40de5312f28fb3ee6c47733e89ed038719cd335c Mon Sep 17 00:00:00 2001
From: Andy Xu <xzdandy@gmail.com>
Date: Sat, 28 Oct 2023 19:03:27 -0400
Subject: [PATCH 37/64] Add all models supported

---
 README.md | 51 ++++++++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 50 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 7dbab46e6d..13de641908 100644
--- a/README.md
+++ b/README.md
@@ -109,7 +109,56 @@ Check more details on each supported data sources at [Data Sources documentation
 
 </details>
 
-- 🤝 Query your data with a pre-trained AI model from Hugging Face, OpenAI, YOLO, PyTorch, and other AI frameworks
+<details>
+<summary> 🤝 Query your data with a pre-trained AI model from Hugging Face, OpenAI, YOLO, and Stable Diffusion. </summary>
+<br/>
+<table>
+<tr>
+<th>Hugging Face</th>
+<th>OpenAI</th>
+<th>YOLO</th>
+</tr>
+<tr>
+<td>
+
+- Audio Classification
+- Automatic Speech Recognition
+- Text Classification
+- Summarization
+- Text2Text Generation
+- Text Generation
+- Image Classification
+- Image Segmentation
+- Image-to-Text
+- Object Detection
+- Depth Estimation
+
+</td>
+<td>
+
+- gpt-4
+- gpt-4-0314
+- gpt-4-32k
+- gpt-4-32k-0314
+- gpt-3.5-turbo
+- gpt-3.5-turbo-0301
+
+</td>
+<td>
+
+- yolov8n.pt
+- yolov8s.pt
+- yolov8m.pt
+- yolov8l.pt
+- yolov8x.pt
+
+</td>
+</tr>
+</table>
+
+Check more details on each supported model at [AI Engines documentation page](https://evadb.readthedocs.io/en/latest/source/reference/ai/index.html)
+</details>
+
 - ⚡️ Faster queries thanks to AI-centric query optimization
 - 💰 Save money spent on running models by efficient CPU/GPU use
 - 🔧 Fine-tune your AI models to achieve better results

From f8c9c5f22bfbe3f7a53ccfa36c3f4e95b7c410e7 Mon Sep 17 00:00:00 2001
From: Andy Xu <xzdandy@gmail.com>
Date: Sat, 28 Oct 2023 19:04:23 -0400
Subject: [PATCH 38/64] Add etc

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 13de641908..411658b5fe 100644
--- a/README.md
+++ b/README.md
@@ -110,7 +110,7 @@ Check more details on each supported data sources at [Data Sources documentation
 </details>
 
 <details>
-<summary> 🤝 Query your data with a pre-trained AI model from Hugging Face, OpenAI, YOLO, and Stable Diffusion. </summary>
+<summary> 🤝 Query your data with a pre-trained AI model from Hugging Face, OpenAI, YOLO, Stable Diffusion, and etc. </summary>
 <br/>
 <table>
 <tr>

From 339e7e087e2f9f3774cb9650e3fc31942106a9a8 Mon Sep 17 00:00:00 2001
From: Andy Xu <xzdandy@gmail.com>
Date: Sat, 28 Oct 2023 19:05:11 -0400
Subject: [PATCH 39/64] Add link

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 411658b5fe..ebb9056aed 100644
--- a/README.md
+++ b/README.md
@@ -110,7 +110,7 @@ Check more details on each supported data sources at [Data Sources documentation
 </details>
 
 <details>
-<summary> 🤝 Query your data with a pre-trained AI model from Hugging Face, OpenAI, YOLO, Stable Diffusion, and etc. </summary>
+<summary> 🤝 <a href="https://evadb.readthedocs.io/en/latest/source/overview/ai-queries.html">Query your data with a pre-trained AI model</a> from Hugging Face, OpenAI, YOLO, Stable Diffusion, and etc. </summary>
 <br/>
 <table>
 <tr>

From 4ca964e0b1ee26081cc3e9de00825ef280f9d856 Mon Sep 17 00:00:00 2001
From: Andy Xu <xzdandy@gmail.com>
Date: Sat, 28 Oct 2023 19:13:58 -0400
Subject: [PATCH 40/64] Add details on optimization

---
 README.md | 13 ++++++++++---
 1 file changed, 10 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index ebb9056aed..489e412203 100644
--- a/README.md
+++ b/README.md
@@ -72,7 +72,7 @@
 
 EvaDB enables software developers to build AI apps in a few lines of code. Its powerful SQL API simplifies AI app development for both structured and unstructured data. EvaDB's benefits include:
 <details>
-<summary> 🔮 Easy to <a href="https://evadb.readthedocs.io/en/latest/source/overview/connect-to-data-sources.html">connect EvaDB with your data sources</a>, such as PostgreSQL, S3, and Github, and build AI-powered apps with SQL queries </summary>
+<summary> 🔮 Easy to <a href="https://evadb.readthedocs.io/en/latest/source/overview/connect-to-data-sources.html">connect EvaDB with your data sources</a>, such as PostgreSQL, S3, and Github, and build AI-powered apps with SQL queries. </summary>
 <br/>
 <table>
 <tr>
@@ -159,8 +159,15 @@ Check more details on each supported data sources at [Data Sources documentation
 Check more details on each supported model at [AI Engines documentation page](https://evadb.readthedocs.io/en/latest/source/reference/ai/index.html)
 </details>
 
-- ⚡️ Faster queries thanks to AI-centric query optimization
-- 💰 Save money spent on running models by efficient CPU/GPU use
+<details>
+<summary> ⚡️ Faster queries thanks to <a href="https://evadb.readthedocs.io/en/latest/source/reference/optimizations.html">AI-centric query optimization </a> such as caching, batching, and parallel processing. </summary>
+
+- Function Result Caching to reuse the results from expensive AI function invocations.
+- LLM Batching to reduce the token usage and dollar spent. 
+- Parallel Query Processing to 💰 save money and time spent on running models by efficient CPU/GPU use.
+- Query Predicate Reordering and Pushdown.
+
+</details>
 - 🔧 Fine-tune your AI models to achieve better results
 
 👋 Hey! If you're excited about our vision of bringing AI inside database systems, show some ❤️ by: 

From c57e36e1897b332e31a2ea015741f12ad384c3c4 Mon Sep 17 00:00:00 2001
From: Andy Xu <xzdandy@gmail.com>
Date: Sat, 28 Oct 2023 19:20:13 -0400
Subject: [PATCH 41/64] Add automl framework

---
 README.md | 37 ++++++++++++++++++++++++++++++++++++-
 1 file changed, 36 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 489e412203..5df77f1b1c 100644
--- a/README.md
+++ b/README.md
@@ -159,6 +159,41 @@ Check more details on each supported data sources at [Data Sources documentation
 Check more details on each supported model at [AI Engines documentation page](https://evadb.readthedocs.io/en/latest/source/reference/ai/index.html)
 </details>
 
+<details>
+<summary> 🔧 Create and Fine-tune your AI models for regression, classification, and time series forecasting</summary>.
+<br/>
+<table>
+<tr>
+<th>Regression</th>
+<th>Classification</th>
+<th>Time Series Forecasting</th>
+</tr>
+<tr>
+<td>
+
+- Ludwig
+- Sklearn
+- Xgboost
+
+</td>
+<td>
+
+- Ludwig
+- Xboost
+
+</td>
+<td>
+
+- Statsforecast
+- Neuralforecast
+
+</td>
+</tr>
+</table>
+
+Check more details on each supported AutoML frameworks at [AI Engines documentation page](https://evadb.readthedocs.io/en/latest/source/reference/ai/index.html)
+</details>
+
 <details>
 <summary> ⚡️ Faster queries thanks to <a href="https://evadb.readthedocs.io/en/latest/source/reference/optimizations.html">AI-centric query optimization </a> such as caching, batching, and parallel processing. </summary>
 
@@ -168,7 +203,7 @@ Check more details on each supported model at [AI Engines documentation page](ht
 - Query Predicate Reordering and Pushdown.
 
 </details>
-- 🔧 Fine-tune your AI models to achieve better results
+<br/>
 
 👋 Hey! If you're excited about our vision of bringing AI inside database systems, show some ❤️ by: 
 <ul>

From affa3cfed832d60508aed5df9f000890196cdecd Mon Sep 17 00:00:00 2001
From: Andy Xu <xzdandy@gmail.com>
Date: Sat, 28 Oct 2023 19:22:26 -0400
Subject: [PATCH 42/64] Move around links

---
 README.md | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 5df77f1b1c..7eaf59143a 100644
--- a/README.md
+++ b/README.md
@@ -160,7 +160,7 @@ Check more details on each supported model at [AI Engines documentation page](ht
 </details>
 
 <details>
-<summary> 🔧 Create and Fine-tune your AI models for regression, classification, and time series forecasting</summary>.
+<summary> 🔧 Create and Fine-tune your AI models for regression, classification, and time series forecasting.</summary>
 <br/>
 <table>
 <tr>
@@ -191,17 +191,19 @@ Check more details on each supported model at [AI Engines documentation page](ht
 </tr>
 </table>
 
-Check more details on each supported AutoML frameworks at [AI Engines documentation page](https://evadb.readthedocs.io/en/latest/source/reference/ai/index.html)
+Check more details on each supported AutoML frameworks at [AI Engines documentation page](https://evadb.readthedocs.io/en/latest/source/reference/ai/index.html).
 </details>
 
 <details>
-<summary> ⚡️ Faster queries thanks to <a href="https://evadb.readthedocs.io/en/latest/source/reference/optimizations.html">AI-centric query optimization </a> such as caching, batching, and parallel processing. </summary>
+<summary> ⚡️ Faster queries thanks to AI-centric query optimization such as caching, batching, and parallel processing. </summary>
 
 - Function Result Caching to reuse the results from expensive AI function invocations.
 - LLM Batching to reduce the token usage and dollar spent. 
 - Parallel Query Processing to 💰 save money and time spent on running models by efficient CPU/GPU use.
 - Query Predicate Reordering and Pushdown.
 
+Check more details on optimizations in EvaDB at [Optimization documentation page](https://evadb.readthedocs.io/en/latest/source/reference/optimizations.html).
+
 </details>
 <br/>
 

From 8dc92836e960e26cfa8e087497f60ab081ac9243 Mon Sep 17 00:00:00 2001
From: Joy Arulraj <arulraj@gatech.edu>
Date: Sun, 29 Oct 2023 23:20:13 -0400
Subject: [PATCH 43/64] checkpoint

---
 docs/source/overview/ai-queries.rst           |  2 +-
 docs/source/overview/roadmap.rst              | 66 +++++++++---------
 .../reference/ai/model-train-xgboost.rst      |  2 +-
 evadb/binder/function_expression_binder.py    |  4 +-
 evadb/binder/statement_binder_context.py      |  4 +-
 script/formatting/spelling.txt                | 67 ++++++++++++++++++-
 6 files changed, 102 insertions(+), 43 deletions(-)

diff --git a/docs/source/overview/ai-queries.rst b/docs/source/overview/ai-queries.rst
index 5a22268a8c..ec61286307 100644
--- a/docs/source/overview/ai-queries.rst
+++ b/docs/source/overview/ai-queries.rst
@@ -9,7 +9,7 @@ This page details how you can use AI models in different ways to construct AI qu
 
 .. note::
 
-   EvaDB ships with a wide range of built-in functions listed in the :ref:`models` page. If your desired AI model is not available, you can also bring your own AI function by referrring to the :ref:`custom_ai_function` page.
+   EvaDB ships with a wide range of built-in functions listed in the :ref:`models` page. If your desired AI model is not available, you can also bring your own AI function by referring to the :ref:`custom_ai_function` page.
 
 SELECT Clause
 -------------
diff --git a/docs/source/overview/roadmap.rst b/docs/source/overview/roadmap.rst
index 6069dad3af..84bd131605 100644
--- a/docs/source/overview/roadmap.rst
+++ b/docs/source/overview/roadmap.rst
@@ -1,60 +1,58 @@
 Roadmap
 =======
 
-The goal of this doc is to align core and community efforts for the project and to share what's the focus for the next 6 months.
+The goal of this roadmap is to align the efforts of the core EvaDB team and community contributors by describing the biggest focus areas for the next 6 months:
 
-What is the core EvaDB team working on right now?
---------------------------------------------------
-
-Our biggest priorities right now are improving the user experience of LLM data wrangling and classical AI tasks (e.g., regression, classification, and forecasting).
+.. note::
+   Please ping us on our `Slack<https://evadb.ai/slack>`_ if you any questions or feedback on these focus areas. 
 
-LLM data wrangling
-~~~~~~~~~~~~~~~~~~
+LLM-based Data Wrangling
+~~~~~~~~~~~~~~~~~~~~~~~~
 
-* Prompt Engineering: more flexibility of constructing prompt and better experience/feedback to tune the prompt. 
-* LLM Cache: reuse the LLM calls based on the model, prompt, and input columns.
-* LLM Batch: intelligently group multiple LLM calls into one to reduce the cost and latency. 
-* Cost Calculation and Estimation: show the cost (i.e., time, token usage, and dollars) of the query at the plan time and after execution.
+* Prompt Engineering: more flexibility of constructing prompt and better developer experience/feedback to tune the prompt.
+* LLM Cache: Reuse the results of LLM calls based on the model, prompt, and input columns.
+* LLM Batching: Intelligently group multiple LLM calls into a single call to reduce cost and latency.
+* LLM Cost Calculation and Estimation: Show the estimated cost metrics (i.e., time, token usage, and dollars) of the query at optimization time and the actual cost metrics after query execution.
 
-Classical AI tasks
+Classical AI Tasks
 ~~~~~~~~~~~~~~~~~~
 
-* Accuracy: show the accuracy of the training.
-* Configuration guidance: provide guidance and suggestion on how to configure the AutoML framework (e.g., which frequency to use for forcasting).
-* Cost calculation and estimation: show the cost (i.e., time) of the query the plan time and after exectuion.
-* Path to Scale: improve the processing pipeline for large datasets.
-
-What areas are great for community contributions?
---------------------------------------------------
+* Accuracy: Show the accuracy of the training loop.
+* Configuration Guidance: Provide guidance on how to configure the AutoML framework (e.g., which frequency to use for forecasting).
+* Task Cost calculation and Estimation: Show the estimated cost metrics (i.e., time) of the query at optimization time and the actual cost metrics after execution.
+* Path to Scalability: Improve the efficiency of the query processing pipeline for large datasets.
 
-.. note::
-   If you are unsure about your idea, feel free to chat with us in the **#community** channel in our `Slack <https://evadb.ai/slack>`_.
 
 We are looking forward to expand our integrations including data sources and AI functions, where we can use them with the rest of the ecosystem of EvaDB. 
 
-Example Data Sources
-~~~~~~~~~~~~~~~~~~~~
+More Application Data Sources
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+`GitHub <https://github.com/georgia-tech-db/evadb/tree/staging/evadb/third_party/databases/github>`_ is an **application data source** already available in EvaDB. Such data sources allow the developer to quickly build AI applications without focusing on extracting, loading, and transforming data from the application. 
 
-`GitHub <https://github.com/georgia-tech-db/evadb/tree/staging/evadb/third_party/databases/github>`_ is one application data sources we have added in EvaDB. These application data sources help the user to develop AI applications without the needs of extracting, loading, and transforming data. Example application data sources that are not in EvaDB yet, but we think can boost the AI applications, include (but not limited to) the following:
+Data sources that are not available in EvaDB yet, but would be super relevant for emerging AI applications, include (but not limited to) the following applications:
 
 * YouTube
 * Google Search
 * Reddit
 * arXiv 
+* Hacker News
+
+When adding a data source to EvaDB, please add a documentation page in your PR  explaining the usage. Here is an `illustrative documentation page <https://evadb.readthedocs.io/en/stable/source/reference/databases/github.html>`_ for the GitHub data source in EvaDB.
+
+More AI functions
+~~~~~~~~~~~~~~~~~
 
-When adding a data source to EvaDB, we do expect a documentation page to explain the usage. This is an `example documentation page <https://evadb.readthedocs.io/en/stable/source/reference/databases/github.html>`_ for the GitHub integration.
+Adding more AI functions in EvaDB will enable more choices for app developers while building AI applications.
 
-Example AI functions
-~~~~~~~~~~~~~~~~~~~~
+`Stable Diffusion <https://github.com/georgia-tech-db/evadb/blob/staging/evadb/functions/stable_diffusion.py>`_ is an illustrative AI function in EvaDB that generates an image given a text prompt.
 
-Adding more AI functions in EvaDB can give users more choices and possibilities for developing AI applications.
-`Stable Diffusion <https://github.com/georgia-tech-db/evadb/blob/staging/evadb/functions/stable_diffusion.py>`_ is an example AI function in EvaDB that generates an image given a prompt.
-Example AI functions that are not in EvaDB yet, but we think can boost the AI applications, include (but not limited to) the following:
+AI functions that are not available in EvaDB yet, but would be super relevant for emerging AI applications, include (but not limited to) the following:
 
-* Sklearn (besides the linear regression)
+* Sklearn (beyond linear regression)
 * OCR (PyTesseract)
-* AWS Rekognition service  
+* AWS Rekognition service
  
-When adding a AI function to EvaDB, we do expect a documentation page to explain the usage. This is an `example documetation page <https://evadb.readthedocs.io/en/latest/source/reference/ai/stablediffusion.html>`_ for Stable Diffusion. Optionally, but highly recommended is also to have a notebook to showcase the use cases.
-Example `notebook <https://colab.research.google.com/github/georgia-tech-db/eva/blob/master/tutorials/18-stable-diffusion.ipynb>`_ for Stable Diffusion.
+When adding an AI function to EvaDB, please add a documentation page in your PR explaining the usage. Here is an `illustrative documentation page <https://evadb.readthedocs.io/en/latest/source/reference/ai/stablediffusion.html>`_ for Stable Diffusion.
 
+Notebooks are also super helpful to showcase use-cases! Here is an illustrative `notebook <https://colab.research.google.com/github/georgia-tech-db/eva/blob/master/tutorials/18-stable-diffusion.ipynb>`_ on using Stable Diffusion in EvaDB queries.
diff --git a/docs/source/reference/ai/model-train-xgboost.rst b/docs/source/reference/ai/model-train-xgboost.rst
index 4f2c18ddde..152dfe07da 100644
--- a/docs/source/reference/ai/model-train-xgboost.rst
+++ b/docs/source/reference/ai/model-train-xgboost.rst
@@ -23,7 +23,7 @@ To use the `Flaml XGBoost AutoML framework <https://microsoft.github.io/FLAML/do
    PREDICT 'rental_price';
 
 In the above query, you are creating a new customized function by training a model from the ``HomeRentals`` table using the ``Flaml XGBoost`` framework.
-The ``rental_price`` column will be the target column for predication, while the rest columns from the ``SELET`` query are the inputs.
+The ``rental_price`` column will be the target column for predication, while the rest columns from the ``SELECT`` query are the inputs.
 
 3. Model Training Parameters
 ----------------------------
diff --git a/evadb/binder/function_expression_binder.py b/evadb/binder/function_expression_binder.py
index c6225e3d11..b6427b533c 100644
--- a/evadb/binder/function_expression_binder.py
+++ b/evadb/binder/function_expression_binder.py
@@ -112,10 +112,10 @@ def bind_func_expr(binder: StatementBinder, node: FunctionExpression):
             if string_comparison_case_insensitive(node.name, "CHATGPT"):
                 # if the user didn't provide any API_KEY, check if we have one in the catalog
                 if "OPENAI_API_KEY" not in properties.keys():
-                    openapi_key = binder._catalog().get_configuration_catalog_value(
+                    OpenAI_key = binder._catalog().get_configuration_catalog_value(
                         "OPENAI_API_KEY"
                     )
-                    properties["openai_api_key"] = openapi_key
+                    properties["openai_api_key"] = openai_key
 
             node.function = lambda: function_class(**properties)
         except Exception as e:
diff --git a/evadb/binder/statement_binder_context.py b/evadb/binder/statement_binder_context.py
index 376d2645aa..05c0931dc2 100644
--- a/evadb/binder/statement_binder_context.py
+++ b/evadb/binder/statement_binder_context.py
@@ -152,10 +152,10 @@ def raise_error():
             res = process.extractOne(col_name, all_columns)
             if res is not None:
                 guess_column, _ = res
-                err_msg = f"Cannnot find column {col_name}. Did you mean {guess_column}? The feasible columns are {all_columns}."
+                err_msg = f"Cannot find column {col_name}. Did you mean {guess_column}? The feasible columns are {all_columns}."
             else:
                 err_msg = (
-                    f"Cannnot find column {col_name}. There are no feasible columns."
+                    f"Cannot find column {col_name}. There are no feasible columns."
                 )
             logger.error(err_msg)
             raise BinderError(err_msg)
diff --git a/script/formatting/spelling.txt b/script/formatting/spelling.txt
index bfc494c945..239b4411da 100644
--- a/script/formatting/spelling.txt
+++ b/script/formatting/spelling.txt
@@ -1,4 +1,4 @@
-personal_ws-1.1 en 1776 
+personal_ws-1.1 en 1845 
 ABCD
 ABCMeta
 ANYDIM
@@ -72,6 +72,7 @@ AutoTheta
 AutoTokenizer
 Autocommit
 AvgPool
+BADCONFIG
 BDD
 BGR
 BH
@@ -94,6 +95,7 @@ BottomUpRewrite
 BoundingBox
 BuildJoinExecutor
 ByteTracker
+BytesIO
 CHROMADB
 CLOB
 CMDClientTest
@@ -108,6 +110,7 @@ CVImageReader
 CacheFunctionExpressionInApply
 CacheFunctionExpressionInFilter
 CacheFunctionExpressionInProject
+Cannnot
 CascadeOptimizer
 CatalogColumnType
 CatalogError
@@ -118,6 +121,8 @@ ChatGPT
 ChatGPTTest
 ChromaDB
 ChromaDBVectorStore
+ClickHouseHandler
+ClickHouseNativeStorageEngineTest
 ColConstraintInfo
 Colab
 ColorSpace
@@ -136,6 +141,10 @@ CommandHandlerTests
 CommonClauses
 ComparisonExpression
 ComparisonExpressionsTest
+Concats
+ConfigurationCatalog
+ConfigurationCatalogEntry
+ConfigurationCatalogService
 ConfigurationFileTests
 ConfigurationManager
 ConfigurationManager's
@@ -184,6 +193,9 @@ DESC
 DETRACVideo
 DFS
 DailyMail
+DallE
+DallEFunction
+DallEFunctionTest
 Dask
 DataFrame
 DataFrameColumn
@@ -306,6 +318,7 @@ FileExistsError
 FileFormatType
 FileNotFoundError
 Finetuning
+Flaml
 FlipTests
 ForecastModel
 ForeignKey
@@ -351,6 +364,7 @@ GenericHuggingfaceModel
 GenericLudwigModel
 GenericSklearnModel
 GenericUtilsTests
+GenericXGBoostModel
 GithubDataSourceTest
 GithubHandler
 GroupBy
@@ -373,6 +387,7 @@ HashJoinBuildPlan
 HashJoinExecutor
 HashJoinPlan
 HashJoinProbePlan
+HelperFunction
 Helvetica
 HomeData
 HomeForecast
@@ -393,10 +408,13 @@ IMAGENET
 INFILE
 IOArgument
 IOColumnArgument
+IODescriptors
 IOs
 ImageColumnName
+ImageDownloadUDF
 ImageDraw
 ImageFeatureExtractor
+ImageGen
 ImageHFModel
 ImageStorageEngine
 ImportError
@@ -533,6 +551,7 @@ LogicalVectorIndexScan
 LogicalVectorIndexScanToPhysical
 LordDarkula
 LudwigModel
+MILVUS
 MLP
 MNIST
 MNISTVid
@@ -551,7 +570,6 @@ MaxPool
 MemeImages
 MemoTest
 MetaData
-MILVUS
 Milvus
 Milvus's
 MilvusClient
@@ -623,6 +641,8 @@ ObjectRef
 ObjectType
 OpenAI
 OpenAIChatCompletion
+OpenAICompletion
+OpenAPI
 OpenCV
 OpenTests
 OperatorType
@@ -677,9 +697,13 @@ PostgresHandler
 PostgresNativeStorageEngineTest
 PredicateExecutor
 PredicatePlan
+PredictEmployee
+PredictEmployeeXgboost
 PredictHouseRent
 PredictHouseRentLudwig
 PredictHouseRentSklearn
+PredictRent
+PredictRentXgboost
 PrivateGPTTest
 ProgrammingError
 ProjectExecutor
@@ -692,6 +716,7 @@ PushDownFilterThroughJoin
 PyGithub
 PyMuPDF
 PyPI
+PyTesseract
 PyTorchTensor
 Pydoc
 Pythonic
@@ -712,6 +737,7 @@ Quadro
 QuerySpecification
 QueueReaderExecutor
 REUSEADDR
+RMSE
 Rajoria
 RayError
 RayTaskError
@@ -719,6 +745,7 @@ ReLU
 ReadTheDocs
 RecursiveCharacterTextSplitter
 Reddit
+Rekognition
 RelationalAPI
 RenameExecutor
 RenameExecutorTest
@@ -776,6 +803,8 @@ ServerTests
 SetExecutor
 SetExecutorTest
 SetStatement
+ShowConfigPlan
+ShowDatabasePlan
 ShowExecutorTest
 ShowFunctionPlan
 ShowInfoExecutor
@@ -791,7 +820,12 @@ SingleDocumentSimilarityTests
 SingletonMeta
 Sklearn's
 SlackCSV
+SnowFlake
+SnowFlakeDbHandler
+SnowFlakeNativeStorageEngineTest
 SpeechRecognizer
+StableDiffusion
+StableDiffusionTest
 StageCompleteSignal
 StatementBinder
 StatementBinderContext
@@ -806,6 +840,7 @@ StatsForecast
 StorageEngine
 StorageExecutor
 StoragePlan
+StrHelperTest
 StreamHandler
 StreamReader
 StreamReaderProtocol
@@ -940,9 +975,11 @@ VideoFormat
 VideoStorageEngineTest
 VideoWriter
 VisionEncoderDecoderModel
+WH
 WIP
 WMV
 WeakValueDictionary
+XGBoost
 XdistTests
 Xeon
 XformExtractObjectToLinearFlow
@@ -962,6 +999,7 @@ aaaa
 aaequality
 abc
 abdfdsfds
+aboe
 abspath
 abstractmethod
 abstractmethods
@@ -982,6 +1020,7 @@ anydim
 api
 apis
 appply
+arXiv
 arange
 arg
 argmax
@@ -1012,6 +1051,7 @@ astype
 async
 asyncio
 atleast
+atof
 attr
 audioless
 autofunction
@@ -1065,6 +1105,7 @@ ci
 classmethod
 classname
 cli
+clickhouse
 cln
 clna
 clova
@@ -1108,6 +1149,7 @@ cv
 cvtColor
 cwd
 cxt
+dalle
 dane
 darwin
 dask
@@ -1115,6 +1157,7 @@ dataclass
 dataclasses
 dataframe
 dataframes
+datapoint
 dataset
 datasets
 datasource
@@ -1234,6 +1277,7 @@ filesystem
 fillna
 finetuned
 fitz
+flaml
 fmt
 fn
 fname
@@ -1277,7 +1321,10 @@ getsizeof
 getsockname
 getsourcefile
 getstarted
+getvalue
 gexpr
+gg
+gif
 gifs
 gists
 github
@@ -1296,6 +1343,7 @@ grp
 grpcio
 gw
 hardcoded
+hardcoding
 hasattr
 hashjoin
 hashlib
@@ -1313,6 +1361,7 @@ hostname
 href
 hstack
 html
+http
 https
 hugGingFaCe
 huggingface
@@ -1344,6 +1393,7 @@ insp
 insrt
 integratedTerminal
 integrations
+intergration
 intp
 invaid
 inviter
@@ -1387,6 +1437,7 @@ lhs
 lineno
 linux
 listdir
+llamadb
 loc
 localhost
 logi
@@ -1430,6 +1481,7 @@ mvit
 mvitactionrecognition
 mxztt
 mydb
+myfiles
 myimages
 mypdf
 mypdfs
@@ -1472,6 +1524,7 @@ openaichatcompletion
 opencv
 opr
 optimizers
+optuna
 oq
 orderby
 orm
@@ -1496,6 +1549,7 @@ philschmid
 pinecone
 pkill
 pkl
+pks
 plangenerator
 pluggable
 png
@@ -1549,11 +1603,13 @@ rb
 rbatch
 rdb
 readlines
+readlink
 readme
 realimport
 rebatch
 recurse
 reddit
+reindex
 releaser
 relu
 repo
@@ -1567,6 +1623,7 @@ return
 rf
 rgb
 rhs
+rmse
 rmtree
 roadmap
 roberta
@@ -1584,6 +1641,8 @@ russia
 saledate
 saliency
 samsum
+scalable
+schemas
 scikit
 sdist
 sep
@@ -1621,6 +1680,7 @@ sqlite
 src
 sshleifer
 sst
+stablediffusion
 statementtoplanconverter
 staticmethod
 statsforecast
@@ -1662,9 +1722,9 @@ testCreateIndexName
 testDeleteOne
 testFaissIndexImageDataset
 testFaissIndexScanRewrite
-testMilvusIndexImageDataset
 testIndex
 testIndexAutoUpdate
+testMilvusIndexImageDataset
 testOpenTable
 testQdrantIndexImageDataset
 testRayErrorHandling
@@ -1766,6 +1826,7 @@ xc
 xdist
 xform
 xformed
+xgboost
 xlm
 xmax
 xmin

From 2ed8448330e5faec2e35c6c08f7df7efc79f8e4f Mon Sep 17 00:00:00 2001
From: Joy Arulraj <arulraj@gatech.edu>
Date: Sun, 29 Oct 2023 23:24:57 -0400
Subject: [PATCH 44/64] checkpoint

---
 docs/source/overview/roadmap.rst | 25 +++++++++++--------------
 1 file changed, 11 insertions(+), 14 deletions(-)

diff --git a/docs/source/overview/roadmap.rst b/docs/source/overview/roadmap.rst
index 84bd131605..a72dedd8fc 100644
--- a/docs/source/overview/roadmap.rst
+++ b/docs/source/overview/roadmap.rst
@@ -4,10 +4,10 @@ Roadmap
 The goal of this roadmap is to align the efforts of the core EvaDB team and community contributors by describing the biggest focus areas for the next 6 months:
 
 .. note::
-   Please ping us on our `Slack<https://evadb.ai/slack>`_ if you any questions or feedback on these focus areas. 
+   Please ping us on our `Slack <https://evadb.ai/slack>`_ if you any questions or feedback on these focus areas. 
 
 LLM-based Data Wrangling
-~~~~~~~~~~~~~~~~~~~~~~~~
+------------------------
 
 * Prompt Engineering: more flexibility of constructing prompt and better developer experience/feedback to tune the prompt.
 * LLM Cache: Reuse the results of LLM calls based on the model, prompt, and input columns.
@@ -15,20 +15,19 @@ LLM-based Data Wrangling
 * LLM Cost Calculation and Estimation: Show the estimated cost metrics (i.e., time, token usage, and dollars) of the query at optimization time and the actual cost metrics after query execution.
 
 Classical AI Tasks
-~~~~~~~~~~~~~~~~~~
+------------------
+
 
 * Accuracy: Show the accuracy of the training loop.
 * Configuration Guidance: Provide guidance on how to configure the AutoML framework (e.g., which frequency to use for forecasting).
 * Task Cost calculation and Estimation: Show the estimated cost metrics (i.e., time) of the query at optimization time and the actual cost metrics after execution.
 * Path to Scalability: Improve the efficiency of the query processing pipeline for large datasets.
 
-
-We are looking forward to expand our integrations including data sources and AI functions, where we can use them with the rest of the ecosystem of EvaDB. 
-
 More Application Data Sources
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+-----------------------------
 
-`GitHub <https://github.com/georgia-tech-db/evadb/tree/staging/evadb/third_party/databases/github>`_ is an **application data source** already available in EvaDB. Such data sources allow the developer to quickly build AI applications without focusing on extracting, loading, and transforming data from the application. 
+
+`GitHub <https://github.com/georgia-tech-db/evadb/tree/staging/evadb/third_party/databases/github>`_ is an application data source already available in EvaDB. Such data sources allow the developer to quickly build AI applications without focusing on extracting, loading, and transforming data from the application. 
 
 Data sources that are not available in EvaDB yet, but would be super relevant for emerging AI applications, include (but not limited to) the following applications:
 
@@ -38,14 +37,12 @@ Data sources that are not available in EvaDB yet, but would be super relevant fo
 * arXiv 
 * Hacker News
 
-When adding a data source to EvaDB, please add a documentation page in your PR  explaining the usage. Here is an `illustrative documentation page <https://evadb.readthedocs.io/en/stable/source/reference/databases/github.html>`_ for the GitHub data source in EvaDB.
+When adding a data source to EvaDB, please add a documentation page in your PR  explaining the usage. Here is the `illustrative documentation page <https://evadb.readthedocs.io/en/stable/source/reference/databases/github.html>`_ for the GitHub data source in EvaDB.
 
 More AI functions
-~~~~~~~~~~~~~~~~~
-
-Adding more AI functions in EvaDB will enable more choices for app developers while building AI applications.
+-----------------
 
-`Stable Diffusion <https://github.com/georgia-tech-db/evadb/blob/staging/evadb/functions/stable_diffusion.py>`_ is an illustrative AI function in EvaDB that generates an image given a text prompt.
+Adding more AI functions in EvaDB will accelerate AI app development using EvaDB. `Stable Diffusion <https://github.com/georgia-tech-db/evadb/blob/staging/evadb/functions/stable_diffusion.py>`_ is an illustrative AI function in EvaDB that generates an image given a text prompt.
 
 AI functions that are not available in EvaDB yet, but would be super relevant for emerging AI applications, include (but not limited to) the following:
 
@@ -53,6 +50,6 @@ AI functions that are not available in EvaDB yet, but would be super relevant fo
 * OCR (PyTesseract)
 * AWS Rekognition service
  
-When adding an AI function to EvaDB, please add a documentation page in your PR explaining the usage. Here is an `illustrative documentation page <https://evadb.readthedocs.io/en/latest/source/reference/ai/stablediffusion.html>`_ for Stable Diffusion.
+When adding an AI function to EvaDB, please add a documentation page in your PR explaining the usage. Here is the `documentation page <https://evadb.readthedocs.io/en/latest/source/reference/ai/stablediffusion.html>`_ for Stable Diffusion.
 
 Notebooks are also super helpful to showcase use-cases! Here is an illustrative `notebook <https://colab.research.google.com/github/georgia-tech-db/eva/blob/master/tutorials/18-stable-diffusion.ipynb>`_ on using Stable Diffusion in EvaDB queries.

From 1c58afe6a694242ae4b8507286546286146477d8 Mon Sep 17 00:00:00 2001
From: Joy Arulraj <arulraj@gatech.edu>
Date: Sun, 29 Oct 2023 23:37:27 -0400
Subject: [PATCH 45/64] docs: Update README.md

---
 README.md | 32 ++++++++++++++++----------------
 1 file changed, 16 insertions(+), 16 deletions(-)

diff --git a/README.md b/README.md
index 7eaf59143a..01f81933ba 100644
--- a/README.md
+++ b/README.md
@@ -72,7 +72,7 @@
 
 EvaDB enables software developers to build AI apps in a few lines of code. Its powerful SQL API simplifies AI app development for both structured and unstructured data. EvaDB's benefits include:
 <details>
-<summary> 🔮 Easy to <a href="https://evadb.readthedocs.io/en/latest/source/overview/connect-to-data-sources.html">connect EvaDB with your data sources</a>, such as PostgreSQL, S3, and Github, and build AI-powered apps with SQL queries. </summary>
+<summary> 🔮 Easy to <a href="https://evadb.readthedocs.io/en/latest/source/overview/connect-to-data-sources.html">connect the EvaDB query engine with your data sources</a>, such as PostgreSQL or S3 buckets, and build AI-powered apps with SQL queries. </summary>
 <br/>
 <table>
 <tr>
@@ -93,8 +93,8 @@ EvaDB enables software developers to build AI apps in a few lines of code. Its p
 </td>
 <td>
 
-- Local disk
-- S3 bucket
+- Local filesystem
+- AWS S3 bucket
 
 </td>
 <td>
@@ -105,12 +105,12 @@ EvaDB enables software developers to build AI apps in a few lines of code. Its p
 </tr>
 </table>
 
-Check more details on each supported data sources at [Data Sources documentation page](https://evadb.readthedocs.io/en/latest/source/reference/databases/index.html).
+More details on the supported data sources is [available here](https://evadb.readthedocs.io/en/latest/source/reference/databases/index.html).
 
 </details>
 
 <details>
-<summary> 🤝 <a href="https://evadb.readthedocs.io/en/latest/source/overview/ai-queries.html">Query your data with a pre-trained AI model</a> from Hugging Face, OpenAI, YOLO, Stable Diffusion, and etc. </summary>
+<summary> 🤝 <a href="https://evadb.readthedocs.io/en/latest/source/overview/ai-queries.html">Query your connected data with a pre-trained AI model</a> from Hugging Face, OpenAI, YOLO, Stable Diffusion, etc. </summary>
 <br/>
 <table>
 <tr>
@@ -156,11 +156,11 @@ Check more details on each supported data sources at [Data Sources documentation
 </tr>
 </table>
 
-Check more details on each supported model at [AI Engines documentation page](https://evadb.readthedocs.io/en/latest/source/reference/ai/index.html)
+More details on the supported AI models is [available here](https://evadb.readthedocs.io/en/latest/source/reference/ai/index.html)
 </details>
 
 <details>
-<summary> 🔧 Create and Fine-tune your AI models for regression, classification, and time series forecasting.</summary>
+<summary> 🔧 Create or fine-tune AI models for regression, classification, and time series forecasting.</summary>
 <br/>
 <table>
 <tr>
@@ -191,19 +191,19 @@ Check more details on each supported model at [AI Engines documentation page](ht
 </tr>
 </table>
 
-Check more details on each supported AutoML frameworks at [AI Engines documentation page](https://evadb.readthedocs.io/en/latest/source/reference/ai/index.html).
+More details on the supported AutoML frameworks is [available here](https://evadb.readthedocs.io/en/latest/source/reference/ai/index.html).
 </details>
 
 <details>
-<summary> ⚡️ Faster queries thanks to AI-centric query optimization such as caching, batching, and parallel processing. </summary>
-
-- Function Result Caching to reuse the results from expensive AI function invocations.
-- LLM Batching to reduce the token usage and dollar spent. 
-- Parallel Query Processing to 💰 save money and time spent on running models by efficient CPU/GPU use.
-- Query Predicate Reordering and Pushdown.
-
-Check more details on optimizations in EvaDB at [Optimization documentation page](https://evadb.readthedocs.io/en/latest/source/reference/optimizations.html).
+<summary> 💰 Faster AI queries thanks to AI-centric query optimizations such as caching, batching, and parallel processing. </summary>
+<br/>
+  
+- Function result caching helps reuse results of expensive AI function calls.
+- LLM batching reduces token usage and dollars spent on LLM calls. 
+- Parallel query processing saves money and time spent on running AI models by better utilizing CPUs and/or GPUs.
+- Query predicate re-ordering and predicate push-down accelerates queries over both structured and unstructured data.
 
+More details on the optimizations in EvaDB is [available here](https://evadb.readthedocs.io/en/latest/source/reference/optimizations.html).
 </details>
 <br/>
 

From 52ff444456770d7a6bcfe610e8496021ac7f2360 Mon Sep 17 00:00:00 2001
From: Joy Arulraj <arulraj@gatech.edu>
Date: Sun, 29 Oct 2023 23:42:14 -0400
Subject: [PATCH 46/64] docs: Update README.md

---
 README.md | 12 ------------
 1 file changed, 12 deletions(-)

diff --git a/README.md b/README.md
index 01f81933ba..e628e57b07 100644
--- a/README.md
+++ b/README.md
@@ -42,17 +42,6 @@
 </a>
 </p>
 
-<p align="center"><b>Share EvaDB</b></p>
-
-<p align="center">
-
-<a href="https://twitter.com/intent/tweet?text=Check%20out%20EvaDB!%20Bring%20AI%20inside%20your%20database%20system%20and%20build%20AI-powered%20apps.%20&url=https://github.com/georgia-tech-db/evadb&hashtags=EvaDB,AI,Database" target="blank">
-<img src="https://img.shields.io/twitter/follow/_superAGI?label=Twitter&style=social" alt="Follow _superAGI"/></a> 
-<a href="https://t.me/share/url?text=Check%20out%20EvaDB!%20Bring%20AI%20inside%20your%20database%20and%20build%20AI-powered%20apps.%20&url=https://github.com/georgia-tech-db/evadb" target="_blank"><img src="https://img.shields.io/twitter/url?label=Telegram&logo=Telegram&style=social&url=https://github.com/georgia-tech-db/evadb" alt="Share on Telegram"/></a>
-<a href="https://api.whatsapp.com/send?text=Check%20out%20EvaDB!%20Bring%20AI%20inside%20your%20database%20and%20build%20AI-powered%20apps.%20https://github.com/georgia-tech-db/evadb"><img src="https://img.shields.io/twitter/url?label=whatsapp&logo=whatsapp&style=social&url=https://github.com/georgia-tech-db/evadb" /></a> <a href="https://www.reddit.com/submit?url=https://github.com/georgia-tech-db/evadb&title=Check%20out%20EvaDB!%20Bring%20AI%20inside%20your%20database%20and%20build%20AI-powered%20apps." target="blank">
-<img src="https://img.shields.io/twitter/url?label=Reddit&logo=Reddit&style=social&url=https://github.com/georgia-tech-db/evadb" alt="Share on Reddit"/>
-</p>
-
 <p align="center">
   <a href="https://colab.research.google.com/github/georgia-tech-db/evadb/blob/master/tutorials/03-emotion-analysis.ipynb">
       <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Launch EvaDB on Colab"/>
@@ -67,7 +56,6 @@
           <img alt="Downloads" src="https://static.pepy.tech/badge/evadb"/>
         </a> -->  
   <br />
-  <a href="https://gitpod.io/#https://github.com/georgia-tech-db/evadb" target="_blank"><img src="https://gitpod.io/button/open-in-gitpod.svg" alt="Open in Gitpod"></a>
 </p>
 
 EvaDB enables software developers to build AI apps in a few lines of code. Its powerful SQL API simplifies AI app development for both structured and unstructured data. EvaDB's benefits include:

From f4090570b9adf59dbc379758bee94c427152993e Mon Sep 17 00:00:00 2001
From: jineetd <35962652+jineetd@users.noreply.github.com>
Date: Thu, 2 Nov 2023 11:02:45 -0400
Subject: [PATCH 47/64] Add the validation score and training time for
 create_function in XGBoost (#1327)

Let us show the validation score and training time for the XGBoost
AutoML model trained. This shall give us fair enough idea on how the
model trained on the training data set.

---------

Co-authored-by: Jineet Desai <jdesai61@gatech.edu>
---
 evadb/binder/function_expression_binder.py    |  2 +-
 evadb/executor/create_function_executor.py    | 21 ++++++++++++++++++-
 .../long/test_model_train.py                  |  8 +++++--
 .../short/test_select_executor.py             |  2 +-
 4 files changed, 28 insertions(+), 5 deletions(-)

diff --git a/evadb/binder/function_expression_binder.py b/evadb/binder/function_expression_binder.py
index b6427b533c..bbc0f6cc53 100644
--- a/evadb/binder/function_expression_binder.py
+++ b/evadb/binder/function_expression_binder.py
@@ -112,7 +112,7 @@ def bind_func_expr(binder: StatementBinder, node: FunctionExpression):
             if string_comparison_case_insensitive(node.name, "CHATGPT"):
                 # if the user didn't provide any API_KEY, check if we have one in the catalog
                 if "OPENAI_API_KEY" not in properties.keys():
-                    OpenAI_key = binder._catalog().get_configuration_catalog_value(
+                    openai_key = binder._catalog().get_configuration_catalog_value(
                         "OPENAI_API_KEY"
                     )
                     properties["openai_api_key"] = openai_key
diff --git a/evadb/executor/create_function_executor.py b/evadb/executor/create_function_executor.py
index 52a3f17c9f..cee6035f68 100644
--- a/evadb/executor/create_function_executor.py
+++ b/evadb/executor/create_function_executor.py
@@ -259,12 +259,16 @@ def handle_xgboost_function(self):
 
         impl_path = Path(f"{self.function_dir}/xgboost.py").absolute().as_posix()
         io_list = self._resolve_function_io(None)
+        best_score = model.best_loss
+        train_time = model.best_config_train_time
         return (
             self.node.name,
             impl_path,
             self.node.function_type,
             io_list,
             self.node.metadata,
+            best_score,
+            train_time,
         )
 
     def handle_ultralytics_function(self):
@@ -586,6 +590,8 @@ def exec(self, *args, **kwargs):
         )
 
         overwrite = False
+        best_score = False
+        train_time = False
         # check catalog if it already has this function entry
         if self.catalog().get_function_catalog_entry_by_name(self.node.name):
             if self.node.if_not_exists:
@@ -648,6 +654,8 @@ def exec(self, *args, **kwargs):
                 function_type,
                 io_list,
                 metadata,
+                best_score,
+                train_time,
             ) = self.handle_xgboost_function()
         elif string_comparison_case_insensitive(self.node.function_type, "Forecasting"):
             (
@@ -674,7 +682,18 @@ def exec(self, *args, **kwargs):
             msg = f"Function {self.node.name} overwritten."
         else:
             msg = f"Function {self.node.name} added to the database."
-        yield Batch(pd.DataFrame([msg]))
+        if best_score and train_time:
+            yield Batch(
+                pd.DataFrame(
+                    [
+                        msg,
+                        "Validation Score: " + str(best_score),
+                        "Training time: " + str(train_time),
+                    ]
+                )
+            )
+        else:
+            yield Batch(pd.DataFrame([msg]))
 
     def _try_initializing_function(
         self, impl_path: str, function_args: Dict = {}
diff --git a/test/integration_tests/long/test_model_train.py b/test/integration_tests/long/test_model_train.py
index b1afe562d9..55c5b5a484 100644
--- a/test/integration_tests/long/test_model_train.py
+++ b/test/integration_tests/long/test_model_train.py
@@ -138,7 +138,9 @@ def test_xgboost_regression(self):
             METRIC 'r2'
             TASK 'regression';
         """
-        execute_query_fetch_all(self.evadb, create_predict_function)
+        result = execute_query_fetch_all(self.evadb, create_predict_function)
+        self.assertEqual(len(result.columns), 1)
+        self.assertEqual(len(result), 3)
 
         predict_query = """
             SELECT PredictRentXgboost(number_of_rooms, number_of_bathrooms, days_on_market, rental_price) FROM HomeRentals LIMIT 10;
@@ -158,7 +160,9 @@ def test_xgboost_classification(self):
             METRIC 'accuracy'
             TASK 'classification';
         """
-        execute_query_fetch_all(self.evadb, create_predict_function)
+        result = execute_query_fetch_all(self.evadb, create_predict_function)
+        self.assertEqual(len(result.columns), 1)
+        self.assertEqual(len(result), 3)
 
         predict_query = """
             SELECT PredictEmployeeXgboost(payment_tier, age, gender, experience_in_current_domain, leave_or_not) FROM Employee LIMIT 10;
diff --git a/test/integration_tests/short/test_select_executor.py b/test/integration_tests/short/test_select_executor.py
index b108150458..c2ac348c78 100644
--- a/test/integration_tests/short/test_select_executor.py
+++ b/test/integration_tests/short/test_select_executor.py
@@ -108,7 +108,7 @@ def test_should_raise_binder_error_on_non_existent_column(self):
         with self.assertRaises(BinderError) as ctx:
             execute_query_fetch_all(self.evadb, select_query)
         self.assertEqual(
-            "Cannnot find column b1. Did you mean a1? The feasible columns are ['_row_id', 'a0', 'a1', 'a2'].",
+            "Cannot find column b1. Did you mean a1? The feasible columns are ['_row_id', 'a0', 'a1', 'a2'].",
             str(ctx.exception),
         )
 

From 21aee56022143c36dae9e224683cfd464ba77ae7 Mon Sep 17 00:00:00 2001
From: Aubhro Sengupta <hello@aubhro.com>
Date: Thu, 2 Nov 2023 20:37:10 -0700
Subject: [PATCH 48/64] Add test_eva_db to gitignore (#1336)

The environment created in the setup instructions in the documentation
calls the environment `test_eva_db`
---
 .gitignore | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.gitignore b/.gitignore
index 1a091b9894..697a42a819 100644
--- a/.gitignore
+++ b/.gitignore
@@ -101,6 +101,7 @@ env.bak/
 venv.bak/
 env38/
 env_eva/
+test_eva_db/
 
 # Spyder project settings
 .spyderproject

From f56ef82f2e0dcdbd559ab138b395da68ea28c102 Mon Sep 17 00:00:00 2001
From: kumeagidi <54588820+kumeagidi@users.noreply.github.com>
Date: Fri, 3 Nov 2023 11:35:20 -0400
Subject: [PATCH 49/64] Fix #1333 dependency and CMD in DockerFile (#1335)

Update the DockerFile in order to resolve dependency issues along with
fixing the invalid CMD that was previously passed in.
---
 docker/Dockerfile | 9 +++++++--
 1 file changed, 7 insertions(+), 2 deletions(-)

diff --git a/docker/Dockerfile b/docker/Dockerfile
index 325cc2ffcb..630b1dcb19 100644
--- a/docker/Dockerfile
+++ b/docker/Dockerfile
@@ -15,6 +15,11 @@ RUN apt-get update && \
     apt-get autoclean -y && \
     rm -rf /var/cache/apt/* /var/lib/apt/lists/*
 
+# Install gcc and python3.9-dev
+RUN apt-get update && apt-get install -y \
+    gcc \
+    python3.9-dev
+    
 # Install pip
 RUN curl -O https://bootstrap.pypa.io/get-pip.py && \
     python3.9 get-pip.py && \
@@ -32,5 +37,5 @@ RUN python3.9 -m pip install evadb
 # Expose the default port EvaDB runs on 
 EXPOSE 8803
 
-# Start EvaDB
-CMD ["eva_server"]
\ No newline at end of file
+# Start EvaDB server
+CMD ["evadb_server"]
\ No newline at end of file

From c296318c742ee431040b38487467d9632577f083 Mon Sep 17 00:00:00 2001
From: Chitti Ankith <chittiankith@gmail.com>
Date: Fri, 3 Nov 2023 12:19:39 -0400
Subject: [PATCH 50/64] CREATE INDEX IF NOT EXISTS is broken. (#1337)

This PR fixes an issue in CREATE INDEX IF NOT EXISTS command wherein if
'IF NOT EXISTS' is passed, we had an unreferenced variable issue. Added
Unit Tests to check the correctness of both the cases.

Also reverted the index changes while merging dataframes after vector
scan, as it's failing for some cases where indexes can be undefined.
---
 evadb/executor/insert_executor.py              |  4 +++-
 evadb/executor/vector_index_scan_executor.py   |  9 +++------
 test/integration_tests/long/test_similarity.py | 17 ++++++++++++-----
 3 files changed, 18 insertions(+), 12 deletions(-)

diff --git a/evadb/executor/insert_executor.py b/evadb/executor/insert_executor.py
index 8e38aea918..d2dccd96a3 100644
--- a/evadb/executor/insert_executor.py
+++ b/evadb/executor/insert_executor.py
@@ -59,8 +59,10 @@ def exec(self, *args, **kwargs):
             for column in table_catalog_entry.columns:
                 if column == index.feat_column:
                     is_index_on_current_table = True
+                    break
             if is_index_on_current_table:
-                create_index_query_list = index.index_def.split(" ")
+                create_index_query = index.index_def
+                create_index_query_list = create_index_query.split(" ")
                 if_not_exists = " ".join(create_index_query_list[2:5]).lower()
                 if if_not_exists != "if not exists":
                     create_index_query = (
diff --git a/evadb/executor/vector_index_scan_executor.py b/evadb/executor/vector_index_scan_executor.py
index 0d6ee58c4f..57697236e4 100644
--- a/evadb/executor/vector_index_scan_executor.py
+++ b/evadb/executor/vector_index_scan_executor.py
@@ -142,16 +142,13 @@ def _evadb_vector_index_scan(self, *args, **kwargs):
                 res_data_list.append(row_dict)
 
         result_df = pd.DataFrame(res_data_list)
-        result_df.set_index(row_num_col_name, inplace=True)
-        result_df = result_df.reindex(row_num_np)
-        row_num_df.set_index(pd.Index(row_num_np), inplace=True)
 
         final_df = pd.merge(
             row_num_df,
             result_df,
-            left_index=True,
-            right_index=True,
-            how="left",
+            left_on="row_num_np",
+            right_on=row_num_col_name,
+            how="inner",
         )
 
         if "row_num_np" in final_df:
diff --git a/test/integration_tests/long/test_similarity.py b/test/integration_tests/long/test_similarity.py
index 15a0b087dc..81d6054fe8 100644
--- a/test/integration_tests/long/test_similarity.py
+++ b/test/integration_tests/long/test_similarity.py
@@ -428,17 +428,15 @@ def test_end_to_end_index_scan_should_work_correctly_on_image_dataset_faiss(self
             drop_query = "DROP INDEX testFaissIndexImageDataset"
             execute_query_fetch_all(self.evadb, drop_query)
 
-    def test_index_auto_update_on_structured_table_during_insertion_with_faiss(self):
-        create_query = "CREATE TABLE testIndexAutoUpdate (img_path TEXT(100))"
-        execute_query_fetch_all(self.evadb, create_query)
-
+    def _helper_for_auto_update_during_insertion_with_faiss(self, if_exists: bool):
         for i, img_path in enumerate(self.img_path_list):
             insert_query = (
                 f"INSERT INTO testIndexAutoUpdate (img_path) VALUES ('{img_path}')"
             )
             execute_query_fetch_all(self.evadb, insert_query)
             if i == 0:
-                create_index_query = "CREATE INDEX testIndex ON testIndexAutoUpdate(DummyFeatureExtractor(Open(img_path))) USING FAISS"
+                if_exists_str = "IF NOT EXISTS " if if_exists else ""
+                create_index_query = f"CREATE INDEX {if_exists_str}testIndex ON testIndexAutoUpdate(DummyFeatureExtractor(Open(img_path))) USING FAISS"
                 execute_query_fetch_all(self.evadb, create_index_query)
 
         select_query = """SELECT _row_id FROM testIndexAutoUpdate
@@ -452,6 +450,15 @@ def test_index_auto_update_on_structured_table_during_insertion_with_faiss(self)
         res_batch = execute_query_fetch_all(self.evadb, select_query)
         self.assertEqual(res_batch.frames["testindexautoupdate._row_id"][0], 5)
 
+    def test_index_auto_update_on_structured_table_during_insertion_with_faiss(self):
+        create_query = "CREATE TABLE testIndexAutoUpdate (img_path TEXT(100))"
+        drop_query = "DROP TABLE testIndexAutoUpdate"
+        execute_query_fetch_all(self.evadb, create_query)
+        self._helper_for_auto_update_during_insertion_with_faiss(False)
+        execute_query_fetch_all(self.evadb, drop_query)
+        execute_query_fetch_all(self.evadb, create_query)
+        self._helper_for_auto_update_during_insertion_with_faiss(True)
+
     @qdrant_skip_marker
     def test_end_to_end_index_scan_should_work_correctly_on_image_dataset_qdrant(self):
         for _ in range(2):

From 6929103221ad58924e2a6ebbe72d1b867a450c5d Mon Sep 17 00:00:00 2001
From: Pramod Chunduri <43007047+pchunduri6@users.noreply.github.com>
Date: Sun, 5 Nov 2023 21:11:18 -0500
Subject: [PATCH 51/64] Support semicolon and escaped strings in lark (#1339)

Support semi-colons in string literals for queries of the form:
```
"""SELECT ChatGPT("Here's a; question", "This is the context") FROM TAIPAI;"""
```

Also support string escape to run ChatGPT queries more easily:
```
"""SELECT ChatGPT('Here\\'s a question', 'This is the context') FROM TAIPAI;"""
```
---
 evadb/parser/evadb.lark               |  4 ++--
 test/unit_tests/parser/test_parser.py | 34 +++++++++++++++++++++++++++
 2 files changed, 36 insertions(+), 2 deletions(-)

diff --git a/evadb/parser/evadb.lark b/evadb/parser/evadb.lark
index 73474e5e74..ab4cdb6772 100644
--- a/evadb/parser/evadb.lark
+++ b/evadb/parser/evadb.lark
@@ -580,8 +580,8 @@ GLOBAL_ID:                           "@" "@" (/[A-Z0-9._$]+/ | BQUOTA_STRING)
 
 EXPONENT_NUM_PART:          /"E" "-"? DEC_DIGIT+/
 ID_LITERAL:                 /[A-Za-z_$0-9]*?[A-Za-z_$]+?[A-Za-z_$0-9]*/
-DQUOTA_STRING:              /"[^";]*"/
-SQUOTA_STRING:              /'[^';]*'/
+DQUOTA_STRING:              "\"" /(?:[^"\\]|\\.)*"/
+SQUOTA_STRING:              "'" /(?:[^'\\]|\\.)*'/
 BQUOTA_STRING:              /`[^'`]*`/
 QUERY_STRING:               /[^{};]+/
 DEC_DIGIT:                  /[0-9]/
diff --git a/test/unit_tests/parser/test_parser.py b/test/unit_tests/parser/test_parser.py
index b7b7a21978..60624b825d 100644
--- a/test/unit_tests/parser/test_parser.py
+++ b/test/unit_tests/parser/test_parser.py
@@ -12,6 +12,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
+import json
 import unittest
 from pathlib import Path
 
@@ -464,6 +465,39 @@ def test_select_with_empty_string_literal(self):
         self.assertEqual(len(evadb_statement_list), 1)
         self.assertEqual(evadb_statement_list[0].stmt_type, StatementType.SELECT)
 
+    def test_string_literal_with_escaped_single_quote(self):
+        parser = Parser()
+
+        select_query = """SELECT ChatGPT('Here\\'s a question', 'This is the context') FROM TAIPAI;"""
+
+        evadb_statement_list = parser.parse(select_query)
+        self.assertIsInstance(evadb_statement_list, list)
+        self.assertEqual(len(evadb_statement_list), 1)
+        self.assertEqual(evadb_statement_list[0].stmt_type, StatementType.SELECT)
+
+    def test_string_literal_with_semi_colon(self):
+        parser = Parser()
+
+        select_query = """SELECT ChatGPT("Here's a; question", "This is the context") FROM TAIPAI;"""
+
+        evadb_statement_list = parser.parse(select_query)
+        self.assertIsInstance(evadb_statement_list, list)
+        self.assertEqual(len(evadb_statement_list), 1)
+        self.assertEqual(evadb_statement_list[0].stmt_type, StatementType.SELECT)
+
+    def test_string_literal_with_single_quotes_from_variable(self):
+        parser = Parser()
+
+        question = json.dumps("Here's a question")
+        answer = json.dumps('This is "the" context')
+
+        select_query = f"""SELECT ChatGPT({question}, {answer}) FROM TAIPAI;"""
+
+        evadb_statement_list = parser.parse(select_query)
+        self.assertIsInstance(evadb_statement_list, list)
+        self.assertEqual(len(evadb_statement_list), 1)
+        self.assertEqual(evadb_statement_list[0].stmt_type, StatementType.SELECT)
+
     def test_select_union_statement(self):
         parser = Parser()
         select_union_query = "SELECT CLASS, REDNESS FROM TAIPAI \

From bd344ed2c6a0a6ece31342748d4b1d76bcbf40c8 Mon Sep 17 00:00:00 2001
From: Kaushik <108662423+kaushikravichandran@users.noreply.github.com>
Date: Sun, 5 Nov 2023 21:11:48 -0500
Subject: [PATCH 52/64] feat: third party app support in EVADB (#1033)

This PR introduces a generic interface to support 3rd party apps in
EVADB. As an example. the template for integrating slack has been added.
In a subsequent PR the integration with slack will be completed.

---------

Co-authored-by: Gaurav Tarlok Kakkar <gaurav21776@gmail.com>
Co-authored-by: Joy Arulraj <jjamesaj@gmail.com>
Co-authored-by: Joy Arulraj <arulraj@gatech.edu>
Co-authored-by: Kaushik Ravichandran <kravicha3@ada-01.cc.gatech.edu>
---
 evadb/third_party/databases/interface.py      |   2 +
 evadb/third_party/databases/slack/__init__.py |  15 ++
 .../databases/slack/slack_handler.py          | 129 ++++++++++++++++++
 3 files changed, 146 insertions(+)
 create mode 100644 evadb/third_party/databases/slack/__init__.py
 create mode 100644 evadb/third_party/databases/slack/slack_handler.py

diff --git a/evadb/third_party/databases/interface.py b/evadb/third_party/databases/interface.py
index e4cd86151c..5f8c4c2ac1 100644
--- a/evadb/third_party/databases/interface.py
+++ b/evadb/third_party/databases/interface.py
@@ -48,6 +48,8 @@ def _get_database_handler(engine: str, **kwargs):
         return mod.SnowFlakeDbHandler(engine, **kwargs)
     elif engine == "github":
         return mod.GithubHandler(engine, **kwargs)
+    elif engine == "slack":
+        return mod.SlackHandler(engine, **kwargs)
     else:
         raise NotImplementedError(f"Engine {engine} is not supported")
 
diff --git a/evadb/third_party/databases/slack/__init__.py b/evadb/third_party/databases/slack/__init__.py
new file mode 100644
index 0000000000..cb882e32b4
--- /dev/null
+++ b/evadb/third_party/databases/slack/__init__.py
@@ -0,0 +1,15 @@
+# coding=utf-8
+# Copyright 2018-2023 EvaDB
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""third party/applications/slack"""
diff --git a/evadb/third_party/databases/slack/slack_handler.py b/evadb/third_party/databases/slack/slack_handler.py
new file mode 100644
index 0000000000..4022efb619
--- /dev/null
+++ b/evadb/third_party/databases/slack/slack_handler.py
@@ -0,0 +1,129 @@
+# coding=utf-8
+# Copyright 2018-2023 EvaDB
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import pandas as pd
+from slack_sdk import WebClient
+from slack_sdk.errors import SlackApiError
+
+from evadb.third_party.types import DBHandler, DBHandlerResponse, DBHandlerStatus
+
+
+class SlackHandler(DBHandler):
+    def __init__(self, name: str, **kwargs):
+        super().__init__(name)
+        self.token = kwargs.get("token")
+        self.channel_name = kwargs.get("channel")
+
+    def connect(self):
+        try:
+            self.client = WebClient(token=self.token)
+            return DBHandlerStatus(status=True)
+        except Exception as e:
+            return DBHandlerStatus(status=False, error=str(e))
+
+    def disconnect(self):
+        """
+        TODO: integrate code for disconnecting from slack
+        """
+        raise NotImplementedError()
+
+    def check_connection(self) -> DBHandlerStatus:
+        try:
+            self.client.api_test()
+        except SlackApiError as e:
+            assert e.response["ok"] is False
+            return False
+        return True
+
+    def get_tables(self) -> DBHandlerResponse:
+        if self.client:
+            channels = self.client.conversations_list(
+                types="public_channel,private_channel"
+            )["channels"]
+            self.channel_names = [c["name"] for c in channels]
+            tables_df = pd.DataFrame(self.channel_names, columns=["table_name"])
+            return DBHandlerResponse(data=tables_df)
+
+    def get_columns(self, table_name: str) -> DBHandlerResponse:
+        columns = [
+            "ts",
+            "text",
+            "message_created_at",
+            "user",
+            "channel",
+            "reactions",
+            "attachments",
+            "thread_ts",
+            "reply_count",
+            "reply_users_count",
+            "latest_reply",
+            "subtype",
+            "hidden",
+        ]
+        columns_df = pd.DataFrame(columns, columns=["column_name"])
+        return DBHandlerResponse(data=columns_df)
+
+    def post_message(self, message) -> DBHandlerResponse:
+        try:
+            response = self.client.chat_postMessage(channel=self.channel, text=message)
+            return DBHandlerResponse(data=response["message"]["text"])
+        except SlackApiError as e:
+            assert e.response["ok"] is False
+            assert e.response["error"]
+            return DBHandlerResponse(data=None, error=e.response["error"])
+
+    def _convert_json_response_to_DataFrame(self, json_response):
+        messages = json_response["messages"]
+        columns = ["text", "ts", "user"]
+        data_df = pd.DataFrame(columns=columns)
+        for message in messages:
+            if message["text"] and message["ts"] and message["user"]:
+                data_df.loc[len(data_df.index)] = [
+                    message["text"],
+                    message["ts"],
+                    message["user"],
+                ]
+        return data_df
+
+    def get_messages(self) -> DBHandlerResponse:
+        try:
+            channels = self.client.conversations_list(
+                types="public_channel,private_channel"
+            )["channels"]
+            channel_ids = {c["name"]: c["id"] for c in channels}
+            response = self.client.conversations_history(
+                channel=channel_ids[self.channel_name]
+            )
+            data_df = self._convert_json_response_to_DataFrame(response)
+            return data_df
+
+        except SlackApiError as e:
+            assert e.response["ok"] is False
+            assert e.response["error"]
+            return DBHandlerResponse(data=None, error=e.response["error"])
+
+    def del_message(self, timestamp) -> DBHandlerResponse:
+        try:
+            self.client.chat_delete(channel=self.channel, ts=timestamp)
+        except SlackApiError as e:
+            assert e.response["ok"] is False
+            assert e.response["error"]
+            return DBHandlerResponse(data=None, error=e.response["error"])
+
+    def execute_native_query(self, query_string: str) -> DBHandlerResponse:
+        """
+        TODO: integrate code for executing query on slack
+        """
+        raise NotImplementedError()

From 35b772b8723fbe242579a6620d20cb6f82e719be Mon Sep 17 00:00:00 2001
From: Hersh Dhillon <hershdhillon23@gmail.com>
Date: Sun, 5 Nov 2023 22:04:09 -0500
Subject: [PATCH 53/64] [WIP] Improving error handling messages for Custom
 Functions (#1330)

Added separate error handling for ModuleNotFoundError and
FileNotFoundError
	modified:   evadb/utils/generic_utils.py
---
 evadb/utils/generic_utils.py                    | 17 ++++++++++++++---
 .../short/test_generic_utils.py                 | 17 ++++++++++++++---
 2 files changed, 28 insertions(+), 6 deletions(-)

diff --git a/evadb/utils/generic_utils.py b/evadb/utils/generic_utils.py
index b190e748db..d9af319103 100644
--- a/evadb/utils/generic_utils.py
+++ b/evadb/utils/generic_utils.py
@@ -75,15 +75,26 @@ def load_function_class_from_file(filepath, classname=None):
         The class instance.
 
     Raises:
-        RuntimeError: If the class name is not found or there is more than one class in the file.
+        ImportError: If the module cannot be loaded.
+        FileNotFoundError: If the file cannot be found.
+        RuntimeError: Any othe type of runtime error.
     """
     try:
         abs_path = Path(filepath).resolve()
         spec = importlib.util.spec_from_file_location(abs_path.stem, abs_path)
         module = importlib.util.module_from_spec(spec)
         spec.loader.exec_module(module)
+    except ImportError as e:
+        # ImportError in the case when we are able to find the file but not able to load the module
+        err_msg = f"ImportError : Couldn't load function from {filepath} : {str(e)}. Not able to load the code provided in the file {abs_path}. Please ensure that the file contains the implementation code for the function."
+        raise ImportError(err_msg)
+    except FileNotFoundError as e:
+        # FileNotFoundError in the case when we are not able to find the file at all at the path.
+        err_msg = f"FileNotFoundError : Couldn't load function from {filepath} : {str(e)}. This might be because the function implementation file does not exist. Please ensure the file exists at {abs_path}"
+        raise FileNotFoundError(err_msg)
     except Exception as e:
-        err_msg = f"Couldn't load function from {filepath} : {str(e)}. This might be due to a missing Python package, or because the function implementation file does not exist, or it is not a valid Python file."
+        # Default exception, we don't know what exactly went wrong so we just output the error message
+        err_msg = f"Couldn't load function from {filepath} : {str(e)}."
         raise RuntimeError(err_msg)
 
     # Try to load the specified class by name
@@ -97,7 +108,7 @@ def load_function_class_from_file(filepath, classname=None):
         if obj.__module__ == module.__name__
     ]
     if len(classes) != 1:
-        raise RuntimeError(
+        raise ImportError(
             f"{filepath} contains {len(classes)} classes, please specify the correct class to load by naming the function with the same name in the CREATE query."
         )
     return classes[0]
diff --git a/test/integration_tests/short/test_generic_utils.py b/test/integration_tests/short/test_generic_utils.py
index bc78af0d8a..b44d171ecf 100644
--- a/test/integration_tests/short/test_generic_utils.py
+++ b/test/integration_tests/short/test_generic_utils.py
@@ -14,6 +14,7 @@
 # limitations under the License.
 
 import unittest
+from pathlib import Path
 from test.markers import windows_skip_marker
 
 from evadb.configuration.constants import EvaDB_DATASET_DIR
@@ -50,17 +51,27 @@ def test_should_return_correct_class_for_path_without_classname(self):
         assert vl.__qualname__ == DecordReader.__qualname__
 
     def test_should_raise_on_missing_file(self):
-        with self.assertRaises(RuntimeError):
+        # Asserting on the error message, but that's brittle
+        with self.assertRaises(FileNotFoundError):
             load_function_class_from_file("evadb/readers/opencv_reader_abdfdsfds.py")
 
+    def test_should_raise_on_empty_file(self):
+        # Asserting on the error message, but that's brittle
+        Path("/tmp/empty_file.py").touch()
+        with self.assertRaises(ImportError):
+            load_function_class_from_file("/tmp/empty_file.py")
+
+        # Cleanup
+        Path("/tmp/empty_file.py").unlink()
+
     def test_should_raise_if_class_does_not_exists(self):
-        with self.assertRaises(RuntimeError):
+        with self.assertRaises(ImportError):
             # evadb/utils/s3_utils.py has no class in it
             # if this test fails due to change in s3_utils.py, change the file to something else
             load_function_class_from_file("evadb/utils/s3_utils.py")
 
     def test_should_raise_if_multiple_classes_exist_and_no_class_mentioned(self):
-        with self.assertRaises(RuntimeError):
+        with self.assertRaises(ImportError):
             # evadb/utils/generic_utils.py has multiple classes in it
             # if this test fails due to change in generic_utils.py, change the file to something else
             load_function_class_from_file("evadb/utils/generic_utils.py")

From 64219f10ee0ef2bd69b32f3b07d060d6ab1916ee Mon Sep 17 00:00:00 2001
From: rohith mulumudy <mulumudyrohith@gmail.com>
Date: Mon, 6 Nov 2023 10:56:34 -0500
Subject: [PATCH 54/64] logging an error message for invalid files while
 loading (#1334)

Issue - [721](https://github.com/georgia-tech-db/evadb/issues/721)

Currently, we abort the entire process when the load executor encounters
a corrupted file.
---
 evadb/executor/load_multimedia_executor.py    |   2 +-
 .../long/test_load_executor.py                | 153 +++++++++++++-----
 2 files changed, 114 insertions(+), 41 deletions(-)

diff --git a/evadb/executor/load_multimedia_executor.py b/evadb/executor/load_multimedia_executor.py
index 03f1f7fb64..61af070069 100644
--- a/evadb/executor/load_multimedia_executor.py
+++ b/evadb/executor/load_multimedia_executor.py
@@ -83,7 +83,7 @@ def exec(self, *args, **kwargs):
 
                 invalid_files_str = "\n".join(invalid_files)
                 err_msg = f"no valid file found at -- '{invalid_files_str}'."
-                raise ValueError(err_msg)
+                logger.error(err_msg)
 
             # Get valid files.
             valid_files = [
diff --git a/test/integration_tests/long/test_load_executor.py b/test/integration_tests/long/test_load_executor.py
index 0ca421cf1a..8400eba942 100644
--- a/test/integration_tests/long/test_load_executor.py
+++ b/test/integration_tests/long/test_load_executor.py
@@ -208,17 +208,16 @@ def test_should_fail_to_load_invalid_files_as_video(self):
                 self.evadb, "SELECT name FROM MyVideos", do_not_print_exceptions=True
             )
 
-    def test_should_rollback_if_video_load_fails(self):
+    def test_should_rollback_or_skip_if_video_load_fails(self):
         path_regex = Path(f"{EvaDB_ROOT_DIR}/data/sample_videos/1/*.mp4")
         valid_videos = glob.glob(str(path_regex.expanduser()), recursive=True)
 
         tempfile_name = os.urandom(24).hex()
         tempfile_path = os.path.join(tempfile.gettempdir(), tempfile_name)
         with open(tempfile_path, "wb") as empty_file:
-            # Load one correct file and one empty file
+            # Load  one empty file
             # nothing should be added
             with tempfile.TemporaryDirectory() as tmp_dir:
-                shutil.copy2(str(valid_videos[0]), tmp_dir)
                 shutil.copy2(str(empty_file.name), tmp_dir)
                 path = Path(tmp_dir) / "*"
                 query = f"""LOAD VIDEO "{path}" INTO MyVideos;"""
@@ -233,24 +232,32 @@ def test_should_rollback_if_video_load_fails(self):
                         do_not_print_exceptions=True,
                     )
 
+            # Load one correct file and one empty file
+            # one file should get added
+            with tempfile.TemporaryDirectory() as tmp_dir:
+                shutil.copy2(str(valid_videos[0]), tmp_dir)
+                shutil.copy2(str(empty_file.name), tmp_dir)
+                path = Path(tmp_dir) / "*"
+                query = f"""LOAD VIDEO "{path}" INTO MyVideos;"""
+                result = execute_query_fetch_all(self.evadb, query)
+                expected = Batch(
+                    pd.DataFrame([f"Number of loaded {FileFormatType.VIDEO.name}: 1"])
+                )
+                self.assertEqual(result, expected)
+
             # Load two correct file and one empty file
-            # nothing should be added
+            # two files should get added
             with tempfile.TemporaryDirectory() as tmp_dir:
                 shutil.copy2(str(valid_videos[0]), tmp_dir)
                 shutil.copy2(str(valid_videos[1]), tmp_dir)
                 shutil.copy2(str(empty_file.name), tmp_dir)
                 path = Path(tmp_dir) / "*"
                 query = f"""LOAD VIDEO "{path}" INTO MyVideos;"""
-                with self.assertRaises(Exception):
-                    execute_query_fetch_all(
-                        self.evadb, query, do_not_print_exceptions=True
-                    )
-                with self.assertRaises(BinderError):
-                    execute_query_fetch_all(
-                        self.evadb,
-                        "SELECT name FROM MyVideos",
-                        do_not_print_exceptions=True,
-                    )
+                result = execute_query_fetch_all(self.evadb, query)
+                expected = Batch(
+                    pd.DataFrame([f"Number of loaded {FileFormatType.VIDEO.name}: 2"])
+                )
+                self.assertEqual(result, expected)
 
     def test_should_rollback_and_preserve_previous_state(self):
         path_regex = Path(f"{EvaDB_ROOT_DIR}/data/sample_videos/1/*.mp4")
@@ -262,13 +269,12 @@ def test_should_rollback_and_preserve_previous_state(self):
             self.evadb, f"""LOAD VIDEO "{load_file}" INTO MyVideos;"""
         )
 
-        # Load one correct file and one empty file
-        # original file should remain
         tempfile_name = os.urandom(24).hex()
         tempfile_path = os.path.join(tempfile.gettempdir(), tempfile_name)
         with open(tempfile_path, "wb") as empty_file:
+            # Load one empty file
+            # original file should remain
             with tempfile.TemporaryDirectory() as tmp_dir:
-                shutil.copy2(str(valid_videos[1]), tmp_dir)
                 shutil.copy2(str(empty_file.name), tmp_dir)
                 path = Path(tmp_dir) / "*"
                 query = f"""LOAD VIDEO "{path}" INTO MyVideos;"""
@@ -282,6 +288,25 @@ def test_should_rollback_and_preserve_previous_state(self):
                 file_names = np.unique(result.frames)
                 self.assertEqual(len(file_names), 1)
 
+            # Load one correct file and one empty file
+            # original file should remain and the correct file should get added
+            with tempfile.TemporaryDirectory() as tmp_dir:
+                shutil.copy2(str(valid_videos[1]), tmp_dir)
+                shutil.copy2(str(empty_file.name), tmp_dir)
+                path = Path(tmp_dir) / "*"
+                query = f"""LOAD VIDEO "{path}" INTO MyVideos;"""
+                result = execute_query_fetch_all(self.evadb, query)
+                expected = Batch(
+                    pd.DataFrame([f"Number of loaded {FileFormatType.VIDEO.name}: 1"])
+                )
+                self.assertEqual(result, expected)
+
+                result = execute_query_fetch_all(
+                    self.evadb, "SELECT name FROM MyVideos"
+                )
+                file_names = np.unique(result.frames)
+                self.assertEqual(len(file_names), 2)
+
     ###########################################
     # integration testcases for load image
 
@@ -342,7 +367,7 @@ def test_should_fail_to_load_invalid_files_as_image(self):
                 self.evadb, "SELECT name FROM MyImages;", do_not_print_exceptions=True
             )
 
-    def test_should_rollback_if_image_load_fails(self):
+    def test_should_rollback_or_pass_if_image_load_fails(self):
         valid_images = glob.glob(
             str(self.image_files_path.expanduser()), recursive=True
         )
@@ -350,10 +375,9 @@ def test_should_rollback_if_image_load_fails(self):
         tempfile_name = os.urandom(24).hex()
         tempfile_path = os.path.join(tempfile.gettempdir(), tempfile_name)
         with open(tempfile_path, "wb") as empty_file:
-            # Load one correct file and one empty file
+            # Load one empty file
             # nothing should be added
             with tempfile.TemporaryDirectory() as tmp_dir:
-                shutil.copy2(str(valid_images[0]), tmp_dir)
                 shutil.copy2(str(empty_file.name), tmp_dir)
                 path = Path(tmp_dir) / "*"
                 query = f"""LOAD IMAGE "{path}" INTO MyImages;"""
@@ -368,26 +392,34 @@ def test_should_rollback_if_image_load_fails(self):
                         do_not_print_exceptions=True,
                     )
 
+            # Load one correct file and one empty file
+            # correct file should be added
+            with tempfile.TemporaryDirectory() as tmp_dir:
+                shutil.copy2(str(valid_images[0]), tmp_dir)
+                shutil.copy2(str(empty_file.name), tmp_dir)
+                path = Path(tmp_dir) / "*"
+                query = f"""LOAD IMAGE "{path}" INTO MyImages;"""
+                result = execute_query_fetch_all(self.evadb, query)
+                expected = Batch(
+                    pd.DataFrame([f"Number of loaded {FileFormatType.IMAGE.name}: 1"])
+                )
+                self.assertEqual(result, expected)
+
             # Load two correct file and one empty file
-            # nothing should be added
+            # two correct files should be added
             with tempfile.TemporaryDirectory() as tmp_dir:
                 shutil.copy2(str(valid_images[0]), tmp_dir)
                 shutil.copy2(str(valid_images[1]), tmp_dir)
                 shutil.copy2(str(empty_file.name), tmp_dir)
                 path = Path(tmp_dir) / "*"
                 query = f"""LOAD IMAGE "{path}" INTO MyImages;"""
-                with self.assertRaises(Exception):
-                    execute_query_fetch_all(
-                        self.evadb, query, do_not_print_exceptions=True
-                    )
-                with self.assertRaises(BinderError):
-                    execute_query_fetch_all(
-                        self.evadb,
-                        "SELECT name FROM MyImages;",
-                        do_not_print_exceptions=True,
-                    )
+                result = execute_query_fetch_all(self.evadb, query)
+                expected = Batch(
+                    pd.DataFrame([f"Number of loaded {FileFormatType.IMAGE.name}: 2"])
+                )
+                self.assertEqual(result, expected)
 
-    def test_should_rollback_and_preserve_previous_state_for_load_images(self):
+    def test_should_rollback_or_pass_and_preserve_previous_state_for_load_images(self):
         valid_images = glob.glob(
             str(self.image_files_path.expanduser()), recursive=True
         )
@@ -397,13 +429,12 @@ def test_should_rollback_and_preserve_previous_state_for_load_images(self):
             self.evadb, f"""LOAD IMAGE "{valid_images[0]}" INTO MyImages;"""
         )
 
-        # Load one correct file and one empty file
-        # original file should remain
         tempfile_name = os.urandom(24).hex()
         tempfile_path = os.path.join(tempfile.gettempdir(), tempfile_name)
         with open(tempfile_path, "wb") as empty_file:
+            # Load one empty file
+            # original file should remain
             with tempfile.TemporaryDirectory() as tmp_dir:
-                shutil.copy2(str(valid_images[1]), tmp_dir)
                 shutil.copy2(str(empty_file.name), tmp_dir)
                 path = Path(tmp_dir) / "*"
                 query = f"""LOAD IMAGE "{path}" INTO MyImages;"""
@@ -418,6 +449,37 @@ def test_should_rollback_and_preserve_previous_state_for_load_images(self):
                 expected = Batch(pd.DataFrame([{"myimages.name": valid_images[0]}]))
                 self.assertEqual(expected, result)
 
+            # Load one empty and one correct file
+            # original file should remaina and correct file should get added
+            with tempfile.TemporaryDirectory() as tmp_dir:
+                shutil.copy2(str(valid_images[1]), tmp_dir)
+                shutil.copy2(str(empty_file.name), tmp_dir)
+                path = Path(tmp_dir) / "*"
+                query = f"""LOAD IMAGE "{path}" INTO MyImages;"""
+                result = execute_query_fetch_all(self.evadb, query)
+                expected = Batch(
+                    pd.DataFrame([f"Number of loaded {FileFormatType.IMAGE.name}: 1"])
+                )
+                self.assertEqual(result, expected)
+
+                result = execute_query_fetch_all(
+                    self.evadb, "SELECT name FROM MyImages"
+                )
+                self.assertEqual(len(result), 2)
+                expected = Batch(
+                    pd.DataFrame(
+                        [
+                            {"myimages.name": valid_images[0]},
+                            {
+                                "myimages.name": os.path.join(
+                                    tmp_dir, os.path.basename(valid_images[1])
+                                )
+                            },
+                        ]
+                    )
+                )
+                self.assertEqual(expected, result)
+
     ###################################
     # integration tests for csv
     def test_should_load_csv_with_columns_in_table(self):
@@ -471,7 +533,7 @@ def test_should_use_parallel_load(self):
         # Clean up large scale image directory.
         shutil.rmtree(large_scale_image_files_path)
 
-    def test_parallel_load_should_raise_exception(self):
+    def test_parallel_load_should_raise_exception_or_pass(self):
         # Create images.
         large_scale_image_files_path = create_large_scale_image_dataset(
             mp.cpu_count() * 10
@@ -481,11 +543,22 @@ def test_parallel_load_should_raise_exception(self):
         with open(os.path.join(large_scale_image_files_path, "img0.jpg"), "w") as f:
             f.write("aa")
 
-        with self.assertRaises(ExecutorError):
-            load_query = f"LOAD IMAGE '{large_scale_image_files_path}/**/*.jpg' INTO MyLargeScaleImages;"
-            execute_query_fetch_all(
-                self.evadb, load_query, do_not_print_exceptions=True
+        load_query = f"LOAD IMAGE '{large_scale_image_files_path}/**/*.jpg' INTO MyLargeScaleImages;"
+        result = execute_query_fetch_all(self.evadb, load_query)
+
+        file_count = len(
+            [
+                entry
+                for entry in os.listdir(large_scale_image_files_path)
+                if os.path.isfile(os.path.join(large_scale_image_files_path, entry))
+            ]
+        )
+        expected = Batch(
+            pd.DataFrame(
+                [f"Number of loaded {FileFormatType.IMAGE.name}: {file_count-1}"]
             )
+        )
+        self.assertEqual(result, expected)
 
         drop_query = "DROP TABLE IF EXISTS MyLargeScaleImages;"
         execute_query_fetch_all(self.evadb, drop_query)

From bb45db40c7c92d38a5a4574c00f02a6bcff64f45 Mon Sep 17 00:00:00 2001
From: Joy Arulraj <arulraj@gatech.edu>
Date: Tue, 7 Nov 2023 09:51:51 -0500
Subject: [PATCH 55/64] checkpoint

---
 docs/source/reference/databases/github.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/source/reference/databases/github.rst b/docs/source/reference/databases/github.rst
index 00e706d49a..71cc9e546b 100644
--- a/docs/source/reference/databases/github.rst
+++ b/docs/source/reference/databases/github.rst
@@ -19,7 +19,7 @@ Required:
 
 Optional:
 
-* ``github_token`` is not required for public repositories. However, the rate limit is lower without a valid github_token. Check `Rate limits page <https://docs.github.com/en/rest/overview/resources-in-the-rest-api?apiVersion=2022-11-28#rate-limits>`_ to learn more about how to check your rate limit status. Check `Managing your personal access tokens page <https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/managing-your-personal-access-tokens>`_ to learn how to create personal access tokens.
+* ``github_token`` is not required for public repositories. However, the rate limit is lower without a valid github_token. Check the `Rate limits page <https://docs.github.com/en/rest/overview/resources-in-the-rest-api>`_ to learn more about how to check your rate limit status. Check `Managing your personal access tokens page <https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/managing-your-personal-access-tokens>`_ to learn how to create personal access tokens.
 
 Create Connection
 -----------------

From 7a49bec8bf7f5a47b37d471f0c22b8e4ef643b21 Mon Sep 17 00:00:00 2001
From: Lohith <32676813+kslohith@users.noreply.github.com>
Date: Tue, 7 Nov 2023 10:25:21 -0500
Subject: [PATCH 56/64] Verified that issue #1067 is resolved and added
 documentation for load pdf functionality. (#1343)

Issue #1067 about not being able to load pdf files, was verified to be
working with evadb documentation pdf and a new page for loading pdf is
added to the documentation.
<img width="1310" alt="Screenshot 2023-11-07 at 1 33 01 AM"
src="https://github.com/georgia-tech-db/evadb/assets/32676813/af2fa40b-c8c1-4f3d-b93f-98d0bf278a5b">

Co-authored-by: Lohith K S <lohithks@Lohiths-MacBook-Pro-2.local>
---
 docs/_toc.yml                            |  1 +
 docs/source/reference/evaql/load_pdf.rst | 16 ++++++++++++++++
 2 files changed, 17 insertions(+)
 create mode 100644 docs/source/reference/evaql/load_pdf.rst

diff --git a/docs/_toc.yml b/docs/_toc.yml
index a50c653579..ca191ce42d 100644
--- a/docs/_toc.yml
+++ b/docs/_toc.yml
@@ -45,6 +45,7 @@ parts:
           - file: source/reference/evaql/load_csv
           - file: source/reference/evaql/load_image
           - file: source/reference/evaql/load_video
+          - file: source/reference/evaql/load_pdf
           - file: source/reference/evaql/select
           - file: source/reference/evaql/explain
           - file: source/reference/evaql/show_functions
diff --git a/docs/source/reference/evaql/load_pdf.rst b/docs/source/reference/evaql/load_pdf.rst
new file mode 100644
index 0000000000..8ced9aeb3f
--- /dev/null
+++ b/docs/source/reference/evaql/load_pdf.rst
@@ -0,0 +1,16 @@
+LOAD PDF
+==========
+
+.. _load-pdf:
+
+.. code:: mysql
+
+   LOAD PDF 'test_pdf.pdf' INTO MyPDFs;
+
+PDFs can be directly imported into a table, where the PDF document is segmented into pages and paragraphs.
+Each row in the table corresponds to a paragraph extracted from the PDF, and the resulting table includes columns for ``name`` , ``page``, ``paragraph``, and ``data``.
+
+| ``name`` signifies the title of the uploaded PDF.
+| ``page`` signifies the specific page number from which the data is retrieved.
+| ``paragraph`` signifies the individual paragraph within a page from which the data is extracted.
+| ``data``  refers to the text extracted from the paragraph on the given page.

From 1c78b221ff3541a74934915237d9f4756509696b Mon Sep 17 00:00:00 2001
From: jineetd <35962652+jineetd@users.noreply.github.com>
Date: Fri, 10 Nov 2023 02:09:20 -0500
Subject: [PATCH 57/64] Add train scores for ludwig in the create function
 handler. (#1342)

In the previous commit, we added the changes for displaying the train
scores and train times for XGBoost. We plan to add similar changes to
Ludwig integration as well.

---------

Co-authored-by: Jineet Desai <jdesai61@gatech.edu>
Co-authored-by: Andy Xu <xzdandy@gmail.com>
---
 docs/source/overview/concepts.rst             |  4 ++--
 .../source/reference/ai/model-forecasting.rst |  4 ++--
 docs/source/reference/databases/github.rst    |  2 +-
 evadb/executor/create_function_executor.py    | 20 +++++++++++++++++--
 4 files changed, 23 insertions(+), 7 deletions(-)

diff --git a/docs/source/overview/concepts.rst b/docs/source/overview/concepts.rst
index f2905b640f..4b559e24c6 100644
--- a/docs/source/overview/concepts.rst
+++ b/docs/source/overview/concepts.rst
@@ -92,6 +92,6 @@ After registering ``MnistImageClassifier`` function, you can call the function i
 AI-Centric Query Optimization
 -----------------------------
 
-EvaDB optimizes the AI queries to save money spent on running models and reduce query execution time. It contains a novel `Cascades-style query optimizer <https://www.cse.iitb.ac.in/infolab/Data/Courses/CS632/Papers/Cascades-graefe.pdf>`__  tailored for AI queries.
+EvaDB optimizes the AI queries to save money spent on running models and reduce query execution time. It contains a novel `Cascades-style query optimizer <https://faculty.cc.gatech.edu/~jarulraj/courses/8803-s21/slides/22-cascades.pdf>`__  tailored for AI queries.
 
-Query optimization has powered SQL database systems for several decades. It is the bridge that connects the declarative query language to efficient query execution on hardware. EvaDB accelerates AI queries using a collection of optimizations detailed in the :ref:`optimizations<optimizations>` page.
\ No newline at end of file
+Query optimization has powered SQL database systems for several decades. It is the bridge that connects the declarative query language to efficient query execution on hardware. EvaDB accelerates AI queries using a collection of optimizations detailed in the :ref:`optimizations<optimizations>` page.
diff --git a/docs/source/reference/ai/model-forecasting.rst b/docs/source/reference/ai/model-forecasting.rst
index 610461223e..48f644e690 100644
--- a/docs/source/reference/ai/model-forecasting.rst
+++ b/docs/source/reference/ai/model-forecasting.rst
@@ -58,7 +58,7 @@ EvaDB's default forecast framework is `statsforecast <https://nixtla.github.io/s
    * - LIBRARY (str, default: 'statsforecast')
      - We can select one of `statsforecast` (default) or `neuralforecast`. `statsforecast` provides access to statistical forecasting methods, while `neuralforecast` gives access to deep-learning based forecasting methods.
    * - MODEL (str, default: 'ARIMA')
-     - If LIBRARY is `statsforecast`, we can select one of ARIMA, ting, ETS, Theta. The default is ARIMA. Check `Automatic Forecasting <https://nixtla.github.io/statsforecast/src/core/models_intro.html#automatic-forecasting>`_ to learn details about these models. If LIBRARY is `neuralforecast`, we can select one of NHITS or NBEATS. The default is NBEATS. Check `NBEATS docs <https://nixtla.github.io/neuralforecast/models.nbeats.html>`_ for details.
+     - If LIBRARY is `statsforecast`, we can select one of ARIMA, ting, ETS, Theta. The default is ARIMA. Check `Automatic Forecasting <https://nixtla.mintlify.app/statsforecast/index.html#automatic-forecasting>`_ to learn details about these models. If LIBRARY is `neuralforecast`, we can select one of NHITS or NBEATS. The default is NBEATS. Check `NBEATS docs <https://nixtla.github.io/neuralforecast/models.nbeats.html>`_ for details.
    * - AUTO (str, default: 'T')
      - If set to 'T', it enables automatic hyperparameter optimization. Must be set to 'T' for `statsforecast` library. One may set this parameter to `false` if LIBRARY is `neuralforecast` for faster (but less reliable) results.
    * - Frequency (str, default: 'auto')
@@ -90,4 +90,4 @@ Below is an example query with `neuralforecast` with `trend` column as exogenous
     PREDICT 'y'
     LIBRARY 'neuralforecast'
     AUTO 'f'
-    FREQUENCY 'M';
\ No newline at end of file
+    FREQUENCY 'M';
diff --git a/docs/source/reference/databases/github.rst b/docs/source/reference/databases/github.rst
index 71cc9e546b..14aaa9fd8e 100644
--- a/docs/source/reference/databases/github.rst
+++ b/docs/source/reference/databases/github.rst
@@ -19,7 +19,7 @@ Required:
 
 Optional:
 
-* ``github_token`` is not required for public repositories. However, the rate limit is lower without a valid github_token. Check the `Rate limits page <https://docs.github.com/en/rest/overview/resources-in-the-rest-api>`_ to learn more about how to check your rate limit status. Check `Managing your personal access tokens page <https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/managing-your-personal-access-tokens>`_ to learn how to create personal access tokens.
+* ``github_token`` is not required for public repositories. However, the rate limit is lower without a valid github_token. Check the `Rate limits page <https://docs.github.com/en/rest/overview/rate-limits-for-the-rest-api?apiVersion=2022-11-28>`_ to learn more about how to check your rate limit status. Check `Managing your personal access tokens page <https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/managing-your-personal-access-tokens>`_ to learn how to create personal access tokens.
 
 Create Connection
 -----------------
diff --git a/evadb/executor/create_function_executor.py b/evadb/executor/create_function_executor.py
index cee6035f68..dc57bbc283 100644
--- a/evadb/executor/create_function_executor.py
+++ b/evadb/executor/create_function_executor.py
@@ -18,6 +18,7 @@
 import os
 import pickle
 import re
+import time
 from pathlib import Path
 from typing import Dict, List
 
@@ -125,6 +126,7 @@ def handle_ludwig_function(self):
         aggregated_batch.drop_column_alias()
 
         arg_map = {arg.key: arg.value for arg in self.node.metadata}
+        start_time = int(time.time())
         auto_train_results = auto_train(
             dataset=aggregated_batch.frames,
             target=arg_map["predict"],
@@ -134,11 +136,13 @@ def handle_ludwig_function(self):
                 "tmp_dir"
             ),
         )
+        train_time = int(time.time()) - start_time
         model_path = os.path.join(
             self.db.catalog().get_configuration_catalog_value("model_dir"),
             self.node.name,
         )
         auto_train_results.best_model.save(model_path)
+        best_score = auto_train_results.experiment_analysis.best_result["metric_score"]
         self.node.metadata.append(
             FunctionMetadataCatalogEntry("model_path", model_path)
         )
@@ -151,6 +155,8 @@ def handle_ludwig_function(self):
             self.node.function_type,
             io_list,
             self.node.metadata,
+            best_score,
+            train_time,
         )
 
     def handle_sklearn_function(self):
@@ -178,7 +184,10 @@ def handle_sklearn_function(self):
         model = LinearRegression()
         Y = aggregated_batch.frames[arg_map["predict"]]
         aggregated_batch.frames.drop([arg_map["predict"]], axis=1, inplace=True)
+        start_time = int(time.time())
         model.fit(X=aggregated_batch.frames, y=Y)
+        train_time = int(time.time()) - start_time
+        score = model.score(X=aggregated_batch.frames, y=Y)
         model_path = os.path.join(
             self.db.catalog().get_configuration_catalog_value("model_dir"),
             self.node.name,
@@ -200,6 +209,8 @@ def handle_sklearn_function(self):
             self.node.function_type,
             io_list,
             self.node.metadata,
+            score,
+            train_time,
         )
 
     def convert_to_numeric(self, x):
@@ -241,9 +252,11 @@ def handle_xgboost_function(self):
             "estimator_list": ["xgboost"],
             "task": arg_map.get("task", DEFAULT_XGBOOST_TASK),
         }
+        start_time = int(time.time())
         model.fit(
             dataframe=aggregated_batch.frames, label=arg_map["predict"], **settings
         )
+        train_time = int(time.time()) - start_time
         model_path = os.path.join(
             self.db.catalog().get_configuration_catalog_value("model_dir"),
             self.node.name,
@@ -260,7 +273,6 @@ def handle_xgboost_function(self):
         impl_path = Path(f"{self.function_dir}/xgboost.py").absolute().as_posix()
         io_list = self._resolve_function_io(None)
         best_score = model.best_loss
-        train_time = model.best_config_train_time
         return (
             self.node.name,
             impl_path,
@@ -638,6 +650,8 @@ def exec(self, *args, **kwargs):
                 function_type,
                 io_list,
                 metadata,
+                best_score,
+                train_time,
             ) = self.handle_ludwig_function()
         elif string_comparison_case_insensitive(self.node.function_type, "Sklearn"):
             (
@@ -646,6 +660,8 @@ def exec(self, *args, **kwargs):
                 function_type,
                 io_list,
                 metadata,
+                best_score,
+                train_time,
             ) = self.handle_sklearn_function()
         elif string_comparison_case_insensitive(self.node.function_type, "XGBoost"):
             (
@@ -688,7 +704,7 @@ def exec(self, *args, **kwargs):
                     [
                         msg,
                         "Validation Score: " + str(best_score),
-                        "Training time: " + str(train_time),
+                        "Training time: " + str(train_time) + " secs.",
                     ]
                 )
             )

From 995f7fe1d5a6713e1b20e5719c3d96a5965ac251 Mon Sep 17 00:00:00 2001
From: Andy Xu <xzdandy@gmail.com>
Date: Tue, 14 Nov 2023 09:25:32 -0800
Subject: [PATCH 58/64] Make Logic Operators Case Insensitve (#1352)

- Fix the following queries:

```
SELECT * FROM postgres_data.home_rentals where neighborhood='downtown' and number_of_rooms=2;
```

- Improve the error message: Instead of throwing arbitrary mask error,
now we raise `Unsupported Logical Operator: ...`.
---
 evadb/parser/lark_visitor/_expressions.py |  7 ++-
 setup.py                                  |  2 +-
 test/unit_tests/parser/test_parser.py     | 72 +++++++++++++++++++++++
 3 files changed, 78 insertions(+), 3 deletions(-)

diff --git a/evadb/parser/lark_visitor/_expressions.py b/evadb/parser/lark_visitor/_expressions.py
index 6ec01cf991..ff53ed4e1a 100644
--- a/evadb/parser/lark_visitor/_expressions.py
+++ b/evadb/parser/lark_visitor/_expressions.py
@@ -20,6 +20,7 @@
 from evadb.expression.comparison_expression import ComparisonExpression
 from evadb.expression.constant_value_expression import ConstantValueExpression
 from evadb.expression.logical_expression import LogicalExpression
+from evadb.utils.generic_utils import string_comparison_case_insensitive
 
 
 ##################################################################
@@ -101,10 +102,12 @@ def comparison_operator(self, tree):
     def logical_operator(self, tree):
         op = str(tree.children[0])
 
-        if op == "OR":
+        if string_comparison_case_insensitive(op, "OR"):
             return ExpressionType.LOGICAL_OR
-        elif op == "AND":
+        elif string_comparison_case_insensitive(op, "AND"):
             return ExpressionType.LOGICAL_AND
+        else:
+            raise NotImplementedError("Unsupported logical operator: {}".format(op))
 
     def expressions_with_defaults(self, tree):
         expr_list = []
diff --git a/setup.py b/setup.py
index ae5d6fdbb4..3334fa8361 100644
--- a/setup.py
+++ b/setup.py
@@ -80,7 +80,7 @@ def read(path, encoding="utf-8"):
     "sentence-transformers",
     "protobuf",
     "bs4",
-    "openai>=0.27.4",  # CHATGPT
+    "openai==0.28",  # CHATGPT
     "gpt4all",  # PRIVATE GPT
     "sentencepiece",  # TRANSFORMERS
 ]
diff --git a/test/unit_tests/parser/test_parser.py b/test/unit_tests/parser/test_parser.py
index 60624b825d..6241323d44 100644
--- a/test/unit_tests/parser/test_parser.py
+++ b/test/unit_tests/parser/test_parser.py
@@ -21,6 +21,7 @@
 from evadb.expression.comparison_expression import ComparisonExpression
 from evadb.expression.constant_value_expression import ConstantValueExpression
 from evadb.expression.function_expression import FunctionExpression
+from evadb.expression.logical_expression import LogicalExpression
 from evadb.expression.tuple_value_expression import TupleValueExpression
 from evadb.parser.alias import Alias
 from evadb.parser.create_function_statement import CreateFunctionStatement
@@ -531,6 +532,77 @@ def test_select_statement_class(self):
         self.assertEqual(select_stmt_new.from_table, select_stmt.from_table)
         self.assertEqual(str(select_stmt_new), str(select_stmt))
 
+    def test_select_statement_where_class(self):
+        """
+        Unit test for logical operators in the where clause.
+        """
+
+        def _verify_select_statement(evadb_statement_list):
+            self.assertIsInstance(evadb_statement_list, list)
+            self.assertEqual(len(evadb_statement_list), 1)
+            self.assertEqual(evadb_statement_list[0].stmt_type, StatementType.SELECT)
+
+            select_stmt = evadb_statement_list[0]
+
+            # target list
+            self.assertIsNotNone(select_stmt.target_list)
+            self.assertEqual(len(select_stmt.target_list), 2)
+            self.assertEqual(
+                select_stmt.target_list[0].etype, ExpressionType.TUPLE_VALUE
+            )
+            self.assertEqual(select_stmt.target_list[0].name, "CLASS")
+            self.assertEqual(
+                select_stmt.target_list[1].etype, ExpressionType.TUPLE_VALUE
+            )
+            self.assertEqual(select_stmt.target_list[1].name, "REDNESS")
+
+            # from table
+            self.assertIsNotNone(select_stmt.from_table)
+            self.assertIsInstance(select_stmt.from_table, TableRef)
+            self.assertEqual(select_stmt.from_table.table.table_name, "TAIPAI")
+
+            # where clause
+            self.assertIsNotNone(select_stmt.where_clause)
+            self.assertIsInstance(select_stmt.where_clause, LogicalExpression)
+            self.assertEqual(select_stmt.where_clause.etype, ExpressionType.LOGICAL_AND)
+            self.assertEqual(len(select_stmt.where_clause.children), 2)
+            left = select_stmt.where_clause.children[0]
+            right = select_stmt.where_clause.children[1]
+            self.assertEqual(left.etype, ExpressionType.COMPARE_EQUAL)
+            self.assertEqual(right.etype, ExpressionType.COMPARE_LESSER)
+
+            self.assertEqual(len(left.children), 2)
+            self.assertEqual(left.children[0].etype, ExpressionType.TUPLE_VALUE)
+            self.assertEqual(left.children[0].name, "CLASS")
+            self.assertEqual(left.children[1].etype, ExpressionType.CONSTANT_VALUE)
+            self.assertEqual(left.children[1].value, "VAN")
+
+            self.assertEqual(len(right.children), 2)
+            self.assertEqual(right.children[0].etype, ExpressionType.TUPLE_VALUE)
+            self.assertEqual(right.children[0].name, "REDNESS")
+            self.assertEqual(right.children[1].etype, ExpressionType.CONSTANT_VALUE)
+            self.assertEqual(right.children[1].value, 400)
+
+        parser = Parser()
+        select_query = (
+            "SELECT CLASS, REDNESS FROM TAIPAI WHERE CLASS = 'VAN' AND REDNESS < 400;"
+        )
+        _verify_select_statement(parser.parse(select_query))
+
+        # Case insensitive test
+        select_query = (
+            "select CLASS, REDNESS from TAIPAI where CLASS = 'VAN' and REDNESS < 400;"
+        )
+        _verify_select_statement(parser.parse(select_query))
+
+        # Unsupported logical operator
+        select_query = (
+            "SELECT CLASS, REDNESS FROM TAIPAI WHERE CLASS = 'VAN' XOR REDNESS < 400;"
+        )
+        with self.assertRaises(NotImplementedError) as cm:
+            parser.parse(select_query)
+        self.assertEqual(str(cm.exception), "Unsupported logical operator: XOR")
+
     def test_select_statement_groupby_class(self):
         """Testing sample frequency"""
 

From 1fbb74f6069c308582add2466ab3fb86c6701e63 Mon Sep 17 00:00:00 2001
From: Shashank Suman <shashanksuman47@gmail.com>
Date: Tue, 14 Nov 2023 12:25:47 -0500
Subject: [PATCH 59/64] Job scheduler implementation (#1308)

This PR adds support for creating and dropping jobs in evadb based on
this [task](https://github.com/georgia-tech-db/evadb/issues/1248).

1.  Jobs can be created using the create job query:


> CREATE JOB {job_name} AS {
>             {job_queries; ...}
>     }
>     START {start_time}
>     END {end_time}
>     EVERY {repeat_period} {repeat_unit}

2. Created jobs can be dropped using:

> DROP JOB {job_name}

3. The scheduled jobs will only be triggered if the job scheduler
process is started explicitly using:

> EvaDBConnection.start_jobs()

4. The job scheduler process can be stopped using:

> EvaDBConnection.stop_jobs()

---------

Co-authored-by: Gaurav Tarlok Kakkar <gaurav21776@gmail.com>
---
 evadb/catalog/catalog_manager.py              | 140 +++++++++++++++
 evadb/catalog/models/job_catalog.py           |  92 ++++++++++
 evadb/catalog/models/job_history_catalog.py   |  73 ++++++++
 evadb/catalog/models/utils.py                 |  55 ++++++
 evadb/catalog/services/job_catalog_service.py | 163 ++++++++++++++++++
 .../services/job_history_catalog_service.py   | 100 +++++++++++
 evadb/catalog/sql_config.py                   |   2 +
 evadb/executor/create_job_executor.py         | 139 +++++++++++++++
 evadb/executor/drop_object_executor.py        |  24 +++
 evadb/executor/plan_executor.py               |   5 +-
 evadb/interfaces/relational/db.py             |  20 +++
 evadb/parser/create_statement.py              |  44 ++++-
 evadb/parser/evadb.lark                       |  35 +++-
 evadb/parser/lark_visitor/__init__.py         |  10 ++
 .../parser/lark_visitor/_create_statements.py |  47 +++++
 evadb/parser/lark_visitor/_drop_statement.py  |  14 ++
 evadb/parser/select_statement.py              |   6 +-
 evadb/parser/types.py                         |   2 +
 evadb/parser/utils.py                         |   7 +-
 evadb/utils/job_scheduler.py                  | 120 +++++++++++++
 .../long/test_job_scheduler_execution.py      |  94 ++++++++++
 .../short/test_create_job_executor.py         | 126 ++++++++++++++
 .../short/test_drop_executor.py               |  36 ++++
 test/unit_tests/parser/test_parser.py         |  27 +++
 test/unit_tests/utils/test_job_scheduler.py   |  81 +++++++++
 25 files changed, 1452 insertions(+), 10 deletions(-)
 create mode 100644 evadb/catalog/models/job_catalog.py
 create mode 100644 evadb/catalog/models/job_history_catalog.py
 create mode 100644 evadb/catalog/services/job_catalog_service.py
 create mode 100644 evadb/catalog/services/job_history_catalog_service.py
 create mode 100644 evadb/executor/create_job_executor.py
 create mode 100644 evadb/utils/job_scheduler.py
 create mode 100644 test/integration_tests/long/test_job_scheduler_execution.py
 create mode 100644 test/integration_tests/short/test_create_job_executor.py
 create mode 100644 test/unit_tests/utils/test_job_scheduler.py

diff --git a/evadb/catalog/catalog_manager.py b/evadb/catalog/catalog_manager.py
index 20c50c9dfb..62ad30a59e 100644
--- a/evadb/catalog/catalog_manager.py
+++ b/evadb/catalog/catalog_manager.py
@@ -12,6 +12,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
+import datetime
 import shutil
 from pathlib import Path
 from typing import Any, List
@@ -39,6 +40,8 @@
     FunctionIOCatalogEntry,
     FunctionMetadataCatalogEntry,
     IndexCatalogEntry,
+    JobCatalogEntry,
+    JobHistoryCatalogEntry,
     TableCatalogEntry,
     drop_all_tables_except_catalog,
     init_db,
@@ -61,6 +64,8 @@
     FunctionMetadataCatalogService,
 )
 from evadb.catalog.services.index_catalog_service import IndexCatalogService
+from evadb.catalog.services.job_catalog_service import JobCatalogService
+from evadb.catalog.services.job_history_catalog_service import JobHistoryCatalogService
 from evadb.catalog.services.table_catalog_service import TableCatalogService
 from evadb.catalog.sql_config import IDENTIFIER_COLUMN, SQLConfig
 from evadb.expression.function_expression import FunctionExpression
@@ -85,6 +90,10 @@ def __init__(self, db_uri: str):
         self._config_catalog_service = ConfigurationCatalogService(
             self._sql_config.session
         )
+        self._job_catalog_service = JobCatalogService(self._sql_config.session)
+        self._job_history_catalog_service = JobHistoryCatalogService(
+            self._sql_config.session
+        )
         self._table_catalog_service = TableCatalogService(self._sql_config.session)
         self._column_service = ColumnCatalogService(self._sql_config.session)
         self._function_service = FunctionCatalogService(self._sql_config.session)
@@ -215,6 +224,137 @@ def check_native_table_exists(self, table_name: str, database_name: str):
 
         return True
 
+    "Job catalog services"
+
+    def insert_job_catalog_entry(
+        self,
+        name: str,
+        queries: str,
+        start_time: datetime,
+        end_time: datetime,
+        repeat_interval: int,
+        active: bool,
+        next_schedule_run: datetime,
+    ) -> JobCatalogEntry:
+        """A new entry is persisted in the job catalog.
+
+        Args:
+            name: job name
+            queries: job's queries
+            start_time: job start time
+            end_time: job end time
+            repeat_interval: job repeat interval
+            active: job status
+            next_schedule_run: next run time as per schedule
+        """
+        job_entry = self._job_catalog_service.insert_entry(
+            name,
+            queries,
+            start_time,
+            end_time,
+            repeat_interval,
+            active,
+            next_schedule_run,
+        )
+
+        return job_entry
+
+    def get_job_catalog_entry(self, job_name: str) -> JobCatalogEntry:
+        """
+        Returns the job catalog entry for the given database_name
+        Arguments:
+            job_name (str): name of the job
+
+        Returns:
+            JobCatalogEntry
+        """
+
+        table_entry = self._job_catalog_service.get_entry_by_name(job_name)
+
+        return table_entry
+
+    def drop_job_catalog_entry(self, job_entry: JobCatalogEntry) -> bool:
+        """
+        This method deletes the job from  catalog.
+
+        Arguments:
+           job_entry: job catalog entry to remove
+
+        Returns:
+           True if successfully deleted else False
+        """
+        return self._job_catalog_service.delete_entry(job_entry)
+
+    def get_next_executable_job(self, only_past_jobs: bool = False) -> JobCatalogEntry:
+        """Get the oldest job that is ready to be triggered by trigger time
+        Arguments:
+            only_past_jobs: boolean flag to denote if only jobs with trigger time in
+                past should be considered
+        Returns:
+            Returns the first job to be triggered
+        """
+        return self._job_catalog_service.get_next_executable_job(only_past_jobs)
+
+    def update_job_catalog_entry(
+        self, job_name: str, next_scheduled_run: datetime, active: bool
+    ):
+        """Update the next_scheduled_run and active column as per the provided values
+        Arguments:
+            job_name (str): job which should be updated
+
+            next_run_time (datetime): the next trigger time for the job
+
+            active (bool): the active status for the job
+        """
+        self._job_catalog_service.update_next_scheduled_run(
+            job_name, next_scheduled_run, active
+        )
+
+    "Job history catalog services"
+
+    def insert_job_history_catalog_entry(
+        self,
+        job_id: str,
+        job_name: str,
+        execution_start_time: datetime,
+        execution_end_time: datetime,
+    ) -> JobCatalogEntry:
+        """A new entry is persisted in the job history catalog.
+
+        Args:
+            job_id: job id for the execution entry
+            job_name: job name for the execution entry
+            execution_start_time: job execution start time
+            execution_end_time: job execution end time
+        """
+        job_history_entry = self._job_history_catalog_service.insert_entry(
+            job_id, job_name, execution_start_time, execution_end_time
+        )
+
+        return job_history_entry
+
+    def get_job_history_by_job_id(self, job_id: int) -> list[JobHistoryCatalogEntry]:
+        """Returns all the entries present for this job_id on in the history.
+
+        Args:
+            job_id: the id of job whose history should be fetched
+        """
+        return self._job_history_catalog_service.get_entry_by_job_id(job_id)
+
+    def update_job_history_end_time(
+        self, job_id: int, execution_start_time: datetime, execution_end_time: datetime
+    ) -> list[JobHistoryCatalogEntry]:
+        """Updates the execution_end_time for this job history matching job_id and execution_start_time.
+
+        Args:
+            job_id: id of the job whose history entry which should be updated
+            execution_start_time: the start time for the job history entry
+            execution_end_time: the end time for the job history entry
+        """
+        return self._job_history_catalog_service.update_entry_end_time(
+            job_id, execution_start_time, execution_end_time
+        )
+
     "Table catalog services"
 
     def insert_table_catalog_entry(
diff --git a/evadb/catalog/models/job_catalog.py b/evadb/catalog/models/job_catalog.py
new file mode 100644
index 0000000000..07a66f622b
--- /dev/null
+++ b/evadb/catalog/models/job_catalog.py
@@ -0,0 +1,92 @@
+# coding=utf-8
+# Copyright 2018-2023 EvaDB
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import datetime
+import json
+
+from sqlalchemy import Boolean, Column, DateTime, Index, Integer, String
+from sqlalchemy.orm import relationship
+
+from evadb.catalog.models.base_model import BaseModel
+from evadb.catalog.models.utils import JobCatalogEntry
+
+
+class JobCatalog(BaseModel):
+    """The `JobCatalog` catalog stores information about all the created Jobs.
+    `_row_id:` an autogenerated unique identifier.
+    `_name:` the job name.
+    `_queries:` the queries to run as part of this job
+    `_start_time:` the job's start time
+    `_end_time:` the job's end time
+    `_repeat_interval:` the job's repeat interval
+    `_repeat_period:` the job's repeat period
+    `_active:` is the job active/deleted
+    `_next_scheduled_run:` the next trigger time for the job as per the schedule
+    `_created_at:` entry creation time
+    `_updated_at:` entry last update time
+    """
+
+    __tablename__ = "job_catalog"
+
+    _name = Column("name", String(100), unique=True)
+    _queries = Column("queries", String, nullable=False)
+    _start_time = Column("start_time", DateTime, default=datetime.datetime.now)
+    _end_time = Column("end_ts", DateTime)
+    _repeat_interval = Column("repeat_interval", Integer)
+    _active = Column("active", Boolean, default=True)
+    _next_scheduled_run = Column("next_scheduled_run", DateTime)
+
+    _created_at = Column("created_at", DateTime, default=datetime.datetime.now)
+    _updated_at = Column(
+        "updated_at",
+        DateTime,
+        default=datetime.datetime.now,
+        onupdate=datetime.datetime.now,
+    )
+
+    _next_run_index = Index("_next_run_index", _next_scheduled_run)
+    _job_history_catalog = relationship("JobHistoryCatalog", cascade="all, delete")
+
+    def __init__(
+        self,
+        name: str,
+        queries: str,
+        start_time: datetime,
+        end_time: datetime,
+        repeat_interval: Integer,
+        active: bool,
+        next_schedule_run: datetime,
+    ):
+        self._name = name
+        self._queries = queries
+        self._start_time = start_time
+        self._end_time = end_time
+        self._repeat_interval = repeat_interval
+        self._active = active
+        self._next_scheduled_run = next_schedule_run
+
+    def as_dataclass(self) -> "JobCatalogEntry":
+        return JobCatalogEntry(
+            row_id=self._row_id,
+            name=self._name,
+            queries=json.loads(self._queries),
+            start_time=self._start_time,
+            end_time=self._end_time,
+            repeat_interval=self._repeat_interval,
+            active=self._active,
+            next_scheduled_run=self._next_scheduled_run,
+            created_at=self._created_at,
+            updated_at=self._updated_at,
+        )
diff --git a/evadb/catalog/models/job_history_catalog.py b/evadb/catalog/models/job_history_catalog.py
new file mode 100644
index 0000000000..c6c21ba3f2
--- /dev/null
+++ b/evadb/catalog/models/job_history_catalog.py
@@ -0,0 +1,73 @@
+# coding=utf-8
+# Copyright 2018-2023 EvaDB
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import datetime
+
+from sqlalchemy import Column, DateTime, ForeignKey, Integer, String, UniqueConstraint
+
+from evadb.catalog.models.base_model import BaseModel
+from evadb.catalog.models.utils import JobHistoryCatalogEntry
+
+
+class JobHistoryCatalog(BaseModel):
+    """The `JobHistoryCatalog` stores the execution history of jobs .
+    `_row_id:` an autogenerated unique identifier.
+    `_job_id:` job id.
+    `_job_name:` job name.
+    `_execution_start_time:` start time of this run
+    `_execution_end_time:` end time for this run
+    `_created_at:` entry creation time
+    `_updated_at:` entry last update time
+    """
+
+    __tablename__ = "job_history_catalog"
+
+    _job_id = Column(
+        "job_id", Integer, ForeignKey("job_catalog._row_id", ondelete="CASCADE")
+    )
+    _job_name = Column("job_name", String(100))
+    _execution_start_time = Column("execution_start_time", DateTime)
+    _execution_end_time = Column("execution_end_time", DateTime)
+    _created_at = Column("created_at", DateTime, default=datetime.datetime.now)
+    _updated_at = Column(
+        "updated_at",
+        DateTime,
+        default=datetime.datetime.now,
+        onupdate=datetime.datetime.now,
+    )
+
+    __table_args__ = (UniqueConstraint("job_id", "execution_start_time"), {})
+
+    def __init__(
+        self,
+        job_id: int,
+        job_name: str,
+        execution_start_time: datetime,
+        execution_end_time: datetime,
+    ):
+        self._job_id = job_id
+        self._job_name = job_name
+        self._execution_start_time = execution_start_time
+        self._execution_end_time = execution_end_time
+
+    def as_dataclass(self) -> "JobHistoryCatalogEntry":
+        return JobHistoryCatalogEntry(
+            row_id=self._row_id,
+            job_id=self._job_id,
+            job_name=self._job_name,
+            execution_start_time=self._execution_start_time,
+            execution_end_time=self._execution_end_time,
+            created_at=self._created_at,
+            updated_at=self._updated_at,
+        )
diff --git a/evadb/catalog/models/utils.py b/evadb/catalog/models/utils.py
index 5da3a2eef5..2c2271f4bc 100644
--- a/evadb/catalog/models/utils.py
+++ b/evadb/catalog/models/utils.py
@@ -13,6 +13,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 import contextlib
+import datetime
 import json
 from dataclasses import dataclass, field
 from typing import List, Tuple
@@ -275,3 +276,57 @@ def display_format(self):
             "key": self.key,
             "value": self.value,
         }
+
+
+@dataclass(unsafe_hash=True)
+class JobCatalogEntry:
+    """Dataclass representing an entry in the `JobCatalog`."""
+
+    name: str
+    queries: list
+    start_time: datetime
+    end_time: datetime
+    repeat_interval: int
+    active: bool
+    next_scheduled_run: datetime
+    created_at: datetime
+    updated_at: datetime
+    row_id: int = None
+
+    def display_format(self):
+        return {
+            "row_id": self.row_id,
+            "name": self.name,
+            "queries": self.queries,
+            "start_time": self.start_time,
+            "end_time": self.end_time,
+            "repeat_interval": self.repeat_interval,
+            "active": self.active,
+            "next_schedule_run": self.next_scheduled_run,
+            "created_at": self.created_at,
+            "updated_at": self.updated_at,
+        }
+
+
+@dataclass(unsafe_hash=True)
+class JobHistoryCatalogEntry:
+    """Dataclass representing an entry in the `JobHistoryCatalog`."""
+
+    job_id: int
+    job_name: str
+    execution_start_time: datetime
+    execution_end_time: datetime
+    created_at: datetime
+    updated_at: datetime
+    row_id: int = None
+
+    def display_format(self):
+        return {
+            "row_id": self.row_id,
+            "job_id": self.job_name,
+            "job_name": self.job_name,
+            "execution_start_time": self.execution_start_time,
+            "execution_end_time": self.execution_end_time,
+            "created_at": self.created_at,
+            "updated_at": self.updated_at,
+        }
diff --git a/evadb/catalog/services/job_catalog_service.py b/evadb/catalog/services/job_catalog_service.py
new file mode 100644
index 0000000000..1c8ad554b9
--- /dev/null
+++ b/evadb/catalog/services/job_catalog_service.py
@@ -0,0 +1,163 @@
+# coding=utf-8
+# Copyright 2018-2023 EvaDB
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import datetime
+import json
+
+from sqlalchemy import and_, true
+from sqlalchemy.orm import Session
+from sqlalchemy.sql.expression import select
+
+from evadb.catalog.models.job_catalog import JobCatalog
+from evadb.catalog.models.utils import JobCatalogEntry
+from evadb.catalog.services.base_service import BaseService
+from evadb.utils.errors import CatalogError
+from evadb.utils.logging_manager import logger
+
+
+class JobCatalogService(BaseService):
+    def __init__(self, db_session: Session):
+        super().__init__(JobCatalog, db_session)
+
+    def insert_entry(
+        self,
+        name: str,
+        queries: list,
+        start_time: datetime,
+        end_time: datetime,
+        repeat_interval: int,
+        active: bool,
+        next_schedule_run: datetime,
+    ) -> JobCatalogEntry:
+        try:
+            job_catalog_obj = self.model(
+                name=name,
+                queries=json.dumps(queries),
+                start_time=start_time,
+                end_time=end_time,
+                repeat_interval=repeat_interval,
+                active=active,
+                next_schedule_run=next_schedule_run,
+            )
+            job_catalog_obj = job_catalog_obj.save(self.session)
+
+        except Exception as e:
+            logger.exception(
+                f"Failed to insert entry into job catalog with exception {str(e)}"
+            )
+            raise CatalogError(e)
+
+        return job_catalog_obj.as_dataclass()
+
+    def get_entry_by_name(self, job_name: str) -> JobCatalogEntry:
+        """
+        Get the job catalog entry with given job name.
+        Arguments:
+            job_name  (str): Job name
+        Returns:
+            JobCatalogEntry - catalog entry for given job name
+        """
+        entry = self.session.execute(
+            select(self.model).filter(self.model._name == job_name)
+        ).scalar_one_or_none()
+        if entry:
+            return entry.as_dataclass()
+        return entry
+
+    def delete_entry(self, job_entry: JobCatalogEntry):
+        """Delete Job from the catalog
+        Arguments:
+            job  (JobCatalogEntry): job to delete
+        Returns:
+            True if successfully removed else false
+        """
+        try:
+            job_catalog_obj = self.session.execute(
+                select(self.model).filter(self.model._row_id == job_entry.row_id)
+            ).scalar_one_or_none()
+            job_catalog_obj.delete(self.session)
+            return True
+        except Exception as e:
+            err_msg = f"Delete Job failed for {job_entry} with error {str(e)}."
+            logger.exception(err_msg)
+            raise CatalogError(err_msg)
+
+    def get_all_overdue_jobs(self) -> list:
+        """Get the list of jobs that are overdue to be triggered
+        Arguments:
+            None
+        Returns:
+            Returns the list of all active overdue jobs
+        """
+        entries = (
+            self.session.execute(
+                select(self.model).filter(
+                    and_(
+                        self.model._next_scheduled_run <= datetime.datetime.now(),
+                        self.model._active == true(),
+                    )
+                )
+            )
+            .scalars()
+            .all()
+        )
+        entries = [row.as_dataclass() for row in entries]
+        return entries
+
+    def get_next_executable_job(self, only_past_jobs: bool) -> JobCatalogEntry:
+        """Get the oldest job that is ready to be triggered by trigger time
+        Arguments:
+            only_past_jobs (bool): boolean flag to denote if only jobs with trigger time in
+                past should be considered
+        Returns:
+            Returns the first job to be triggered
+        """
+        entry = self.session.execute(
+            select(self.model)
+            .filter(
+                and_(
+                    self.model._next_scheduled_run <= datetime.datetime.now(),
+                    self.model._active == true(),
+                )
+                if only_past_jobs
+                else self.model._active == true()
+            )
+            .order_by(self.model._next_scheduled_run.asc())
+            .limit(1)
+        ).scalar_one_or_none()
+        if entry:
+            return entry.as_dataclass()
+        return entry
+
+    def update_next_scheduled_run(
+        self, job_name: str, next_scheduled_run: datetime, active: bool
+    ):
+        """Update the next_scheduled_run and active column as per the provided values
+        Arguments:
+            job_name (str): job which should be updated
+
+            next_run_time (datetime): the next trigger time for the job
+
+            active (bool): the active status for the job
+        Returns:
+            void
+        """
+        job = (
+            self.session.query(self.model).filter(self.model._name == job_name).first()
+        )
+        if job:
+            job._next_scheduled_run = next_scheduled_run
+            job._active = active
+            self.session.commit()
diff --git a/evadb/catalog/services/job_history_catalog_service.py b/evadb/catalog/services/job_history_catalog_service.py
new file mode 100644
index 0000000000..bd1b27c8b9
--- /dev/null
+++ b/evadb/catalog/services/job_history_catalog_service.py
@@ -0,0 +1,100 @@
+# coding=utf-8
+# Copyright 2018-2023 EvaDB
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import datetime
+
+from sqlalchemy import and_
+from sqlalchemy.orm import Session
+from sqlalchemy.sql.expression import select
+
+from evadb.catalog.models.job_history_catalog import JobHistoryCatalog
+from evadb.catalog.models.utils import JobHistoryCatalogEntry
+from evadb.catalog.services.base_service import BaseService
+from evadb.utils.errors import CatalogError
+from evadb.utils.logging_manager import logger
+
+
+class JobHistoryCatalogService(BaseService):
+    def __init__(self, db_session: Session):
+        super().__init__(JobHistoryCatalog, db_session)
+
+    def insert_entry(
+        self,
+        job_id: str,
+        job_name: str,
+        execution_start_time: datetime,
+        execution_end_time: datetime,
+    ) -> JobHistoryCatalogEntry:
+        try:
+            job_history_catalog_obj = self.model(
+                job_id=job_id,
+                job_name=job_name,
+                execution_start_time=execution_start_time,
+                execution_end_time=execution_end_time,
+            )
+            job_history_catalog_obj = job_history_catalog_obj.save(self.session)
+
+        except Exception as e:
+            logger.exception(
+                f"Failed to insert entry into job history catalog with exception {str(e)}"
+            )
+            raise CatalogError(e)
+
+        return job_history_catalog_obj.as_dataclass()
+
+    def get_entry_by_job_id(self, job_id: int) -> list[JobHistoryCatalogEntry]:
+        """
+        Get all the job history catalog entry with given job id.
+        Arguments:
+            job_id (int): Job id
+        Returns:
+            list[JobHistoryCatalogEntry]: all history catalog entries for given job id
+        """
+        entries = (
+            self.session.execute(
+                select(self.model).filter(self.model._job_id == job_id)
+            )
+            .scalars()
+            .all()
+        )
+        entries = [row.as_dataclass() for row in entries]
+        return entries
+
+    def update_entry_end_time(
+        self, job_id: int, execution_start_time: datetime, execution_end_time: datetime
+    ):
+        """Update the execution_end_time of the entry as per the provided values
+        Arguments:
+            job_id (int): id of the job whose history entry which should be updated
+
+            execution_start_time (datetime): the start time for the job history entry
+
+            execution_end_time (datetime): the end time for the job history entry
+        Returns:
+            void
+        """
+        job_history_entry = (
+            self.session.query(self.model)
+            .filter(
+                and_(
+                    self.model._job_id == job_id,
+                    self.model._execution_start_time == execution_start_time,
+                )
+            )
+            .first()
+        )
+        if job_history_entry:
+            job_history_entry._execution_end_time = execution_end_time
+            self.session.commit()
diff --git a/evadb/catalog/sql_config.py b/evadb/catalog/sql_config.py
index 0a460a899d..fed6630f3e 100644
--- a/evadb/catalog/sql_config.py
+++ b/evadb/catalog/sql_config.py
@@ -38,6 +38,8 @@
     "functionio_catalog",
     "function_cost_catalog",
     "function_metadata_catalog",
+    "job_catalog",
+    "job_history_catalog",
 ]
 # Add all keywords that are restricted by EvaDB
 
diff --git a/evadb/executor/create_job_executor.py b/evadb/executor/create_job_executor.py
new file mode 100644
index 0000000000..1a614635fe
--- /dev/null
+++ b/evadb/executor/create_job_executor.py
@@ -0,0 +1,139 @@
+# coding=utf-8
+# Copyright 2018-2023 EvaDB
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import re
+from datetime import datetime
+
+import pandas as pd
+
+from evadb.database import EvaDBDatabase
+from evadb.executor.abstract_executor import AbstractExecutor
+from evadb.executor.executor_utils import ExecutorError
+from evadb.models.storage.batch import Batch
+from evadb.parser.create_statement import CreateJobStatement
+from evadb.parser.parser import Parser
+from evadb.utils.logging_manager import logger
+
+
+class CreateJobExecutor(AbstractExecutor):
+    def __init__(self, db: EvaDBDatabase, node: CreateJobStatement):
+        super().__init__(db, node)
+
+    def _parse_datetime_str(self, datetime_str: str) -> datetime:
+        datetime_format = "%Y-%m-%d %H:%M:%S"
+        date_format = "%Y-%m-%d"
+
+        if re.match(r"\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}", datetime_str):
+            try:
+                return datetime.strptime(datetime_str, datetime_format)
+            except ValueError:
+                raise ExecutorError(
+                    f"{datetime_str} is not in the correct datetime format. expected format: {datetime_format}."
+                )
+        elif re.match(r"\d{4}-\d{2}-\d{2}", datetime_str):
+            try:
+                return datetime.strptime(datetime_str, date_format)
+            except ValueError:
+                raise ExecutorError(
+                    f"{datetime_str} is not in the correct date format. expected format: {date_format}."
+                )
+        else:
+            raise ValueError(
+                f"{datetime_str} does not match the expected date or datetime format"
+            )
+
+    def _get_repeat_time_interval_seconds(
+        self, repeat_interval: int, repeat_period: str
+    ) -> int:
+        unit_to_seconds = {
+            "seconds": 1,
+            "minute": 60,
+            "minutes": 60,
+            "min": 60,
+            "hour": 3600,
+            "hours": 3600,
+            "day": 86400,
+            "days": 86400,
+            "week": 604800,
+            "weeks": 604800,
+            "month": 2592000,
+            "months": 2592000,
+        }
+        assert (repeat_period is None) or (
+            repeat_period in unit_to_seconds
+        ), "repeat period should be one of these values: seconds | minute | minutes | min | hour | hours | day | days | week | weeks | month | months"
+
+        repeat_interval = 1 if repeat_interval is None else repeat_interval
+        return repeat_interval * unit_to_seconds.get(repeat_period, 0)
+
+    def exec(self, *args, **kwargs):
+        # Check if the job already exists.
+        job_catalog_entry = self.catalog().get_job_catalog_entry(self.node.job_name)
+
+        if job_catalog_entry is not None:
+            if self.node.if_not_exists:
+                msg = f"A job with name {self.node.job_name} already exists, nothing added."
+                yield Batch(pd.DataFrame([msg]))
+                return
+            else:
+                raise ExecutorError(
+                    f"A job with name {self.node.job_name} already exists."
+                )
+
+        logger.debug(f"Creating job {self.node}")
+
+        job_name = self.node.job_name
+        queries = []
+        parser = Parser()
+
+        for q in self.node.queries:
+            try:
+                curr_query = str(q)
+                parser.parse(curr_query)
+                queries.append(curr_query)
+            except Exception:
+                error_msg = f"Failed to parse the job query: {curr_query}"
+                logger.exception(error_msg)
+                raise ExecutorError(error_msg)
+        start_time = (
+            self._parse_datetime_str(self.node.start_time)
+            if self.node.start_time is not None
+            else datetime.datetime.now()
+        )
+        end_time = (
+            self._parse_datetime_str(self.node.end_time)
+            if self.node.end_time is not None
+            else None
+        )
+        repeat_interval = self._get_repeat_time_interval_seconds(
+            self.node.repeat_interval, self.node.repeat_period
+        )
+        active = True
+        next_schedule_run = start_time
+
+        self.catalog().insert_job_catalog_entry(
+            job_name,
+            queries,
+            start_time,
+            end_time,
+            repeat_interval,
+            active,
+            next_schedule_run,
+        )
+
+        yield Batch(
+            pd.DataFrame(
+                [f"The job {self.node.job_name} has been successfully created."]
+            )
+        )
diff --git a/evadb/executor/drop_object_executor.py b/evadb/executor/drop_object_executor.py
index a857f15eae..c4f108052e 100644
--- a/evadb/executor/drop_object_executor.py
+++ b/evadb/executor/drop_object_executor.py
@@ -46,6 +46,9 @@ def exec(self, *args, **kwargs):
         elif self.node.object_type == ObjectType.DATABASE:
             yield self._handle_drop_database(self.node.name, self.node.if_exists)
 
+        elif self.node.object_type == ObjectType.JOB:
+            yield self._handle_drop_job(self.node.name, self.node.if_exists)
+
     def _handle_drop_table(self, table_name: str, if_exists: bool):
         if not self.catalog().check_table_exists(table_name):
             err_msg = "Table: {} does not exist".format(table_name)
@@ -160,3 +163,24 @@ def _handle_drop_database(self, database_name: str, if_exists: bool):
                 index=[0],
             )
         )
+
+    def _handle_drop_job(self, job_name: str, if_exists: bool):
+        job_catalog_entry = self.catalog().get_job_catalog_entry(job_name)
+        if not job_catalog_entry:
+            err_msg = f"Job {job_name} does not exist, therefore cannot be dropped."
+            if if_exists:
+                logger.warning(err_msg)
+                return Batch(pd.DataFrame([err_msg]))
+            else:
+                raise RuntimeError(err_msg)
+
+        logger.debug(f"Dropping Job {job_name}")
+
+        self.catalog().drop_job_catalog_entry(job_catalog_entry)
+
+        return Batch(
+            pd.DataFrame(
+                {f"Job {job_name} successfully dropped"},
+                index=[0],
+            )
+        )
diff --git a/evadb/executor/plan_executor.py b/evadb/executor/plan_executor.py
index 94d290bdb3..a2921f3cbb 100644
--- a/evadb/executor/plan_executor.py
+++ b/evadb/executor/plan_executor.py
@@ -21,6 +21,7 @@
 from evadb.executor.create_executor import CreateExecutor
 from evadb.executor.create_function_executor import CreateFunctionExecutor
 from evadb.executor.create_index_executor import CreateIndexExecutor
+from evadb.executor.create_job_executor import CreateJobExecutor
 from evadb.executor.delete_executor import DeleteExecutor
 from evadb.executor.drop_object_executor import DropObjectExecutor
 from evadb.executor.exchange_executor import ExchangeExecutor
@@ -48,7 +49,7 @@
 from evadb.executor.use_executor import UseExecutor
 from evadb.executor.vector_index_scan_executor import VectorIndexScanExecutor
 from evadb.models.storage.batch import Batch
-from evadb.parser.create_statement import CreateDatabaseStatement
+from evadb.parser.create_statement import CreateDatabaseStatement, CreateJobStatement
 from evadb.parser.set_statement import SetStatement
 from evadb.parser.statement import AbstractStatement
 from evadb.parser.use_statement import UseStatement
@@ -93,6 +94,8 @@ def _build_execution_tree(
             return UseExecutor(db=self._db, node=plan)
         elif isinstance(plan, SetStatement):
             return SetExecutor(db=self._db, node=plan)
+        elif isinstance(plan, CreateJobStatement):
+            return CreateJobExecutor(db=self._db, node=plan)
 
         # Get plan node type
         plan_opr_type = plan.opr_type
diff --git a/evadb/interfaces/relational/db.py b/evadb/interfaces/relational/db.py
index a8d66a22bf..428d0878f5 100644
--- a/evadb/interfaces/relational/db.py
+++ b/evadb/interfaces/relational/db.py
@@ -13,6 +13,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 import asyncio
+import multiprocessing
 
 import pandas
 
@@ -43,6 +44,7 @@
 )
 from evadb.server.command_handler import execute_statement
 from evadb.utils.generic_utils import find_nearest_word, is_ray_enabled_and_installed
+from evadb.utils.job_scheduler import JobScheduler
 from evadb.utils.logging_manager import logger
 
 
@@ -53,6 +55,7 @@ def __init__(self, evadb: EvaDBDatabase, reader, writer):
         self._cursor = None
         self._result: Batch = None
         self._evadb = evadb
+        self._jobs_process = None
 
     def cursor(self):
         """Retrieves a cursor associated with the connection.
@@ -80,6 +83,23 @@ def cursor(self):
             self._cursor = EvaDBCursor(self)
         return self._cursor
 
+    def start_jobs(self):
+        if self._jobs_process and self._jobs_process.is_alive():
+            logger.debug("The job scheduler is already running")
+            return
+
+        job_scheduler = JobScheduler(self._evadb)
+        self._jobs_process = multiprocessing.Process(target=job_scheduler.execute)
+        self._jobs_process.daemon = True
+        self._jobs_process.start()
+        logger.debug("Job scheduler process started")
+
+    def stop_jobs(self):
+        if self._jobs_process is not None and self._jobs_process.is_alive():
+            self._jobs_process.terminate()
+            self._jobs_process.join()
+            logger.debug("Job scheduler process stopped")
+
 
 class EvaDBCursor(object):
     def __init__(self, connection):
diff --git a/evadb/parser/create_statement.py b/evadb/parser/create_statement.py
index ca79a9eac4..89aee64cfa 100644
--- a/evadb/parser/create_statement.py
+++ b/evadb/parser/create_statement.py
@@ -12,7 +12,8 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from typing import List, Tuple
+from dataclasses import dataclass
+from typing import List, Optional, Tuple
 
 from evadb.catalog.catalog_type import ColumnType, NdArrayType
 from evadb.parser.select_statement import SelectStatement
@@ -226,3 +227,44 @@ def __str__(self) -> str:
             f"WITH ENGINE '{self.engine}' , \n"
             f"PARAMETERS = {self.param_dict};"
         )
+
+
+@dataclass
+class CreateJobStatement(AbstractStatement):
+    job_name: str
+    queries: list
+    if_not_exists: bool
+    start_time: Optional[str] = None
+    end_time: Optional[str] = None
+    repeat_interval: Optional[int] = None
+    repeat_period: Optional[str] = None
+
+    def __hash__(self):
+        return hash(
+            (
+                super().__hash__(),
+                self.job_name,
+                tuple(self.queries),
+                self.start_time,
+                self.end_time,
+                self.repeat_interval,
+                self.repeat_period,
+            )
+        )
+
+    def __post_init__(self):
+        super().__init__(StatementType.CREATE_JOB)
+
+    def __str__(self):
+        start_str = f"\nSTART {self.start_time}" if self.start_time is not None else ""
+        end_str = f"\nEND {self.end_time}" if self.end_time is not None else ""
+        repeat_str = (
+            f"\nEVERY {self.repeat_interval} {self.repeat_period}"
+            if self.repeat_interval is not None
+            else ""
+        )
+        return (
+            f"CREATE JOB {self.job_name} AS\n"
+            f"({(str(q) for q in self.queries)})"
+            f"{start_str} {end_str} {repeat_str}"
+        )
diff --git a/evadb/parser/evadb.lark b/evadb/parser/evadb.lark
index ab4cdb6772..86798df6c0 100644
--- a/evadb/parser/evadb.lark
+++ b/evadb/parser/evadb.lark
@@ -1,11 +1,15 @@
 // Top Level Description
 
-start: (sql_statement? ";")+
+// create_job is intentionally not treated as an sql_statement to keep the parser clean 
+// because we assume that inside the job, the user can specify multiple sql_statements
+// but not a create_job within a create_job.
+
+start: (sql_statement? ";")+ | (create_job ";")
 
 sql_statement: ddl_statement | dml_statement | utility_statement | context_statement
-        
-ddl_statement: create_database | create_table | create_index | create_function
-    | drop_database | drop_table | drop_function | drop_index | rename_table
+
+ddl_statement: create_database | create_table | create_index | create_function |  drop_database
+    | drop_table | drop_function | drop_index | drop_job | rename_table
     
 dml_statement: select_statement | insert_statement | update_statement
     | delete_statement | load_statement | set_statement
@@ -14,6 +18,9 @@ utility_statement: describe_statement | show_statement | help_statement | explai
 
 context_statement: use_statement
 
+job_sql_statements: query_string (";" query_string)* ";"?
+
+
 // Data Definition Language
 
 //    Create statements
@@ -29,7 +36,18 @@ create_database_engine_clause: WITH ENGINE "=" string_literal "," PARAMETERS "="
 create_index: CREATE INDEX if_not_exists? uid ON table_name index_elem vector_store_type?
 
 create_table: CREATE TABLE if_not_exists? table_name (create_definitions | (AS select_statement))
-    
+
+create_job: CREATE JOB if_not_exists? uid AS "{" job_sql_statements "}" (start_time)? (end_time)? (repeat_clause)?
+
+start_time: START string_literal
+
+end_time: END string_literal
+
+repeat_clause: EVERY decimal_literal simple_id
+
+
+
+
 // Rename statements
 
 rename_table: RENAME TABLE table_name TO table_name
@@ -78,6 +96,8 @@ drop_index: DROP INDEX if_exists? uid
 drop_table: DROP TABLE if_exists? uid
     
 drop_function: DROP FUNCTION if_exists? uid
+
+drop_job: DROP JOB if_exists? uid
     
 // SET statements (configuration)
 set_statement: SET config_name (EQUAL_SYMBOL | TO) config_value
@@ -348,7 +368,9 @@ DESC:                                "DESC"i
 DESCRIBE:                            "DESCRIBE"i
 DISTINCT:                            "DISTINCT"i
 DROP:                                "DROP"i
+END:                                 "END"i
 ENGINE:                              "ENGINE"i
+EVERY:                               "EVERY"i
 EXIT:                                "EXIT"i
 EXISTS:                              "EXISTS"i
 EXPLAIN:                             "EXPLAIN"i
@@ -364,6 +386,7 @@ INTO:                                "INTO"i
 INDEX:                               "INDEX"i
 INSERT:                              "INSERT"i
 IS:                                  "IS"i
+JOB:                                 "JOB"i
 JOIN:                                "JOIN"i
 KEY:                                 "KEY"i
 LATERAL:                             "LATERAL"i
@@ -392,6 +415,7 @@ SET:                                 "SET"i
 SHUTDOWN:                            "SHUTDOWN"i
 SHOW:                                "SHOW"i
 SOME:                                "SOME"i
+START:                               "START"i
 TABLE:                               "TABLE"i
 TABLES:                              "TABLES"i
 TO:                                  "TO"i
@@ -567,7 +591,6 @@ REAL_LITERAL:                        (DEC_DIGIT+)? "." DEC_DIGIT+
 DOT_ID:                              "." ID_LITERAL
 
 
-
 // Identifiers
 
 ID:                                  ID_LITERAL
diff --git a/evadb/parser/lark_visitor/__init__.py b/evadb/parser/lark_visitor/__init__.py
index 9ed0a1b6fe..911e886a2d 100644
--- a/evadb/parser/lark_visitor/__init__.py
+++ b/evadb/parser/lark_visitor/__init__.py
@@ -20,6 +20,7 @@
 from evadb.parser.lark_visitor._create_statements import (
     CreateDatabase,
     CreateIndex,
+    CreateJob,
     CreateTable,
 )
 from evadb.parser.lark_visitor._delete_statement import Delete
@@ -66,6 +67,7 @@ class LarkInterpreter(
     CreateTable,
     CreateIndex,
     CreateDatabase,
+    CreateJob,
     Expressions,
     Functions,
     Insert,
@@ -89,3 +91,11 @@ def start(self, tree):
 
     def sql_statement(self, tree):
         return self.visit(tree.children[0])
+
+    def job_sql_statements(self, tree):
+        sql_statements = []
+        for child in tree.children:
+            if isinstance(child, Tree):
+                if child.data == "query_string":
+                    sql_statements.append(self.visit(child))
+        return sql_statements
diff --git a/evadb/parser/lark_visitor/_create_statements.py b/evadb/parser/lark_visitor/_create_statements.py
index a24f1eafc9..72066b294c 100644
--- a/evadb/parser/lark_visitor/_create_statements.py
+++ b/evadb/parser/lark_visitor/_create_statements.py
@@ -22,6 +22,7 @@
     ColConstraintInfo,
     ColumnDefinition,
     CreateDatabaseStatement,
+    CreateJobStatement,
     CreateTableStatement,
 )
 from evadb.parser.table_ref import TableRef
@@ -336,3 +337,49 @@ def create_database_engine_clause(self, tree):
                     param_dict = self.visit(child)
 
         return engine, param_dict
+
+
+class CreateJob:
+    def create_job(self, tree):
+        job_name = None
+        queries = []
+        start_time = None
+        end_time = None
+        repeat_interval = None
+        repeat_period = None
+        if_not_exists = False
+        for child in tree.children:
+            if isinstance(child, Tree):
+                if child.data == "if_not_exists":
+                    if_not_exists = True
+                if child.data == "uid":
+                    job_name = self.visit(child)
+                if child.data == "job_sql_statements":
+                    queries = self.visit(child)
+                elif child.data == "start_time":
+                    start_time = self.visit(child)
+                elif child.data == "end_time":
+                    end_time = self.visit(child)
+                elif child.data == "repeat_clause":
+                    repeat_interval, repeat_period = self.visit(child)
+
+        create_job = CreateJobStatement(
+            job_name,
+            queries,
+            if_not_exists,
+            start_time,
+            end_time,
+            repeat_interval,
+            repeat_period,
+        )
+
+        return create_job
+
+    def start_time(self, tree):
+        return self.visit(tree.children[1]).value
+
+    def end_time(self, tree):
+        return self.visit(tree.children[1]).value
+
+    def repeat_clause(self, tree):
+        return self.visit(tree.children[1]), self.visit(tree.children[2])
diff --git a/evadb/parser/lark_visitor/_drop_statement.py b/evadb/parser/lark_visitor/_drop_statement.py
index 0b397378ae..7fc96298ed 100644
--- a/evadb/parser/lark_visitor/_drop_statement.py
+++ b/evadb/parser/lark_visitor/_drop_statement.py
@@ -73,3 +73,17 @@ def drop_database(self, tree):
                     database_name = self.visit(child)
 
         return DropObjectStatement(ObjectType.DATABASE, database_name, if_exists)
+
+    # Drop Job
+    def drop_job(self, tree):
+        job_name = None
+        if_exists = False
+
+        for child in tree.children:
+            if isinstance(child, Tree):
+                if child.data == "if_exists":
+                    if_exists = True
+                elif child.data == "uid":
+                    job_name = self.visit(child)
+
+        return DropObjectStatement(ObjectType.JOB, job_name, if_exists)
diff --git a/evadb/parser/select_statement.py b/evadb/parser/select_statement.py
index b04c7148bb..69270a6b84 100644
--- a/evadb/parser/select_statement.py
+++ b/evadb/parser/select_statement.py
@@ -141,7 +141,11 @@ def __str__(self) -> str:
                 orderby_list_str += str(expr[0]) + " " + sort_str + ", "
             orderby_list_str = orderby_list_str.rstrip(", ")
 
-        select_str = f"SELECT {target_list_str} FROM {str(self._from_table)}"
+        select_str = f"SELECT {target_list_str}"
+
+        if self._from_table is not None:
+            select_str += " FROM " + str(self._from_table)
+
         if self._where_clause is not None:
             select_str += " WHERE " + str(self._where_clause)
 
diff --git a/evadb/parser/types.py b/evadb/parser/types.py
index 751d2b5f31..227a768c7b 100644
--- a/evadb/parser/types.py
+++ b/evadb/parser/types.py
@@ -42,6 +42,7 @@ class StatementType(EvaDBEnum):
     CREATE_DATABASE  # noqa: F821
     USE  # noqa: F821
     SET  # noqa: F821
+    CREATE_JOB  # noqa: F821
     # add other types
 
 
@@ -83,3 +84,4 @@ class ObjectType(EvaDBEnum):
     FUNCTION  # noqa: F821
     INDEX  # noqa: F821
     DATABASE  # noqa: F821
+    JOB  # noqa: F821
diff --git a/evadb/parser/utils.py b/evadb/parser/utils.py
index a2be06ec16..dd4567cf4b 100644
--- a/evadb/parser/utils.py
+++ b/evadb/parser/utils.py
@@ -13,7 +13,11 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 from evadb.parser.create_function_statement import CreateFunctionStatement
-from evadb.parser.create_statement import CreateDatabaseStatement, CreateTableStatement
+from evadb.parser.create_statement import (
+    CreateDatabaseStatement,
+    CreateJobStatement,
+    CreateTableStatement,
+)
 from evadb.parser.drop_object_statement import DropObjectStatement
 from evadb.parser.explain_statement import ExplainStatement
 from evadb.parser.insert_statement import InsertTableStatement
@@ -30,6 +34,7 @@
 # directly to the executor.
 SKIP_BINDER_AND_OPTIMIZER_STATEMENTS = (
     CreateDatabaseStatement,
+    CreateJobStatement,
     UseStatement,
     SetStatement,
 )
diff --git a/evadb/utils/job_scheduler.py b/evadb/utils/job_scheduler.py
new file mode 100644
index 0000000000..74ee99b7fc
--- /dev/null
+++ b/evadb/utils/job_scheduler.py
@@ -0,0 +1,120 @@
+# coding=utf-8
+# Copyright 2018-2023 EvaDB
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import datetime
+import sys
+import time
+
+from evadb.catalog.models.utils import JobCatalogEntry
+from evadb.database import EvaDBDatabase
+from evadb.server.command_handler import execute_query
+from evadb.utils.logging_manager import logger
+
+
+class JobScheduler:
+    def __init__(self, evadb: EvaDBDatabase) -> None:
+        self.poll_interval_seconds = 30
+        self._evadb = evadb
+
+    def _update_next_schedule_run(self, job_catalog_entry: JobCatalogEntry) -> bool:
+        job_end_time = job_catalog_entry.end_time
+        active_status = False
+        if job_catalog_entry.repeat_interval and job_catalog_entry.repeat_interval > 0:
+            next_trigger_time = datetime.datetime.now() + datetime.timedelta(
+                seconds=job_catalog_entry.repeat_interval
+            )
+            if not job_end_time or next_trigger_time < job_end_time:
+                active_status = True
+
+        next_trigger_time = (
+            next_trigger_time if active_status else job_catalog_entry.next_scheduled_run
+        )
+        self._evadb.catalog().update_job_catalog_entry(
+            job_catalog_entry.name,
+            next_trigger_time,
+            active_status,
+        )
+        return active_status, next_trigger_time
+
+    def _get_sleep_time(self, next_job_entry: JobCatalogEntry) -> int:
+        sleep_time = self.poll_interval_seconds
+        if next_job_entry:
+            sleep_time = min(
+                sleep_time,
+                (
+                    next_job_entry.next_scheduled_run - datetime.datetime.now()
+                ).total_seconds(),
+            )
+        sleep_time = max(0, sleep_time)
+        return sleep_time
+
+    def _scan_and_execute_jobs(self):
+        while True:
+            try:
+                for next_executable_job in iter(
+                    lambda: self._evadb.catalog().get_next_executable_job(
+                        only_past_jobs=True
+                    ),
+                    None,
+                ):
+                    execution_time = datetime.datetime.now()
+
+                    # insert a job history record to mark start of this execution
+                    self._evadb.catalog().insert_job_history_catalog_entry(
+                        next_executable_job.row_id,
+                        next_executable_job.name,
+                        execution_time,
+                        None,
+                    )
+
+                    # execute the queries of the job
+                    execution_results = [
+                        execute_query(self._evadb, query)
+                        for query in next_executable_job.queries
+                    ]
+                    logger.debug(
+                        f"Exection result for job: {next_executable_job.name} results: {execution_results}"
+                    )
+
+                    # update the next trigger time for this job
+                    self._update_next_schedule_run(next_executable_job)
+
+                    # update the previosly inserted job history record with endtime
+                    self._evadb.catalog().update_job_history_end_time(
+                        next_executable_job.row_id,
+                        execution_time,
+                        datetime.datetime.now(),
+                    )
+
+                next_executable_job = self._evadb.catalog().get_next_executable_job(
+                    only_past_jobs=False
+                )
+
+                sleep_time = self._get_sleep_time(next_executable_job)
+                if sleep_time > 0:
+                    logger.debug(
+                        f"Job scheduler process sleeping for {sleep_time} seconds"
+                    )
+                    time.sleep(sleep_time)
+            except Exception as e:
+                logger.error(f"Got an exception in job scheduler: {str(e)}")
+                time.sleep(self.poll_interval_seconds * 0.2)
+
+    def execute(self):
+        try:
+            self._scan_and_execute_jobs()
+        except KeyboardInterrupt:
+            logger.debug("Exiting the job scheduler process due to interrupt")
+            sys.exit()
diff --git a/test/integration_tests/long/test_job_scheduler_execution.py b/test/integration_tests/long/test_job_scheduler_execution.py
new file mode 100644
index 0000000000..e00b3ce537
--- /dev/null
+++ b/test/integration_tests/long/test_job_scheduler_execution.py
@@ -0,0 +1,94 @@
+# coding=utf-8
+# Copyright 2018-2023 EvaDB
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import time
+import unittest
+from datetime import datetime, timedelta
+from test.util import get_evadb_for_testing, shutdown_ray
+
+from mock import MagicMock
+
+from evadb.interfaces.relational.db import EvaDBConnection
+from evadb.server.command_handler import execute_query_fetch_all
+
+
+class JobSchedulerIntegrationTests(unittest.TestCase):
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+
+    @classmethod
+    def setUpClass(cls):
+        cls.evadb = get_evadb_for_testing()
+        # reset the catalog manager before running each test
+        cls.evadb.catalog().reset()
+        cls.job_name_1 = "test_async_job_1"
+        cls.job_name_2 = "test_async_job_2"
+
+    def setUp(self):
+        execute_query_fetch_all(self.evadb, f"DROP JOB IF EXISTS {self.job_name_1};")
+        execute_query_fetch_all(self.evadb, f"DROP JOB IF EXISTS {self.job_name_2};")
+
+    @classmethod
+    def tearDownClass(cls):
+        shutdown_ray()
+        execute_query_fetch_all(cls.evadb, f"DROP JOB IF EXISTS {cls.job_name_1};")
+        execute_query_fetch_all(cls.evadb, f"DROP JOB IF EXISTS {cls.job_name_2};")
+
+    def create_jobs(self):
+        datetime_format = "%Y-%m-%d %H:%M:%S"
+        start_time = (datetime.now() - timedelta(seconds=10)).strftime(datetime_format)
+        end_time = (datetime.now() + timedelta(seconds=60)).strftime(datetime_format)
+
+        create_csv_query = """CREATE TABLE IF NOT EXISTS MyCSV (
+                                    id INTEGER UNIQUE,
+                                    frame_id INTEGER,
+                                    video_id INTEGER
+                                );
+                            """
+        job_1_query = f"""CREATE JOB IF NOT EXISTS {self.job_name_1} AS {{
+                                SELECT * FROM MyCSV;
+                            }}
+                            START '{start_time}'
+                            END '{end_time}'
+                            EVERY 4 seconds;
+                        """
+        job_2_query = f"""CREATE JOB IF NOT EXISTS {self.job_name_2} AS {{
+                            SHOW FUNCTIONS;
+                        }}
+                        START '{start_time}'
+                        END '{end_time}'
+                        EVERY 2 seconds;
+                    """
+
+        execute_query_fetch_all(self.evadb, create_csv_query)
+        execute_query_fetch_all(self.evadb, job_1_query)
+        execute_query_fetch_all(self.evadb, job_2_query)
+
+    def test_should_execute_the_scheduled_jobs(self):
+        self.create_jobs()
+        connection = EvaDBConnection(self.evadb, MagicMock(), MagicMock())
+
+        # start the job scheduler
+        connection.start_jobs()
+
+        # let the job scheduler run for 10 seconds
+        time.sleep(15)
+        connection.stop_jobs()
+
+        job_1_execution_count = len(self.evadb.catalog().get_job_history_by_job_id(1))
+        job_2_execution_count = len(self.evadb.catalog().get_job_history_by_job_id(2))
+
+        self.assertGreater(job_2_execution_count, job_1_execution_count)
+        self.assertGreater(job_2_execution_count, 2)
+        self.assertGreater(job_1_execution_count, 2)
diff --git a/test/integration_tests/short/test_create_job_executor.py b/test/integration_tests/short/test_create_job_executor.py
new file mode 100644
index 0000000000..9a9ce18c1b
--- /dev/null
+++ b/test/integration_tests/short/test_create_job_executor.py
@@ -0,0 +1,126 @@
+# coding=utf-8
+# Copyright 2018-2023 EvaDB
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import unittest
+from datetime import datetime
+from test.util import get_evadb_for_testing, shutdown_ray
+
+from evadb.executor.executor_utils import ExecutorError
+from evadb.server.command_handler import execute_query_fetch_all
+
+
+class CreateJobTest(unittest.TestCase):
+    @classmethod
+    def setUpClass(cls):
+        cls.evadb = get_evadb_for_testing()
+        # reset the catalog manager before running each test
+        cls.evadb.catalog().reset()
+        cls.job_name = "test_async_job"
+
+    def setUp(self):
+        execute_query_fetch_all(self.evadb, f"DROP JOB IF EXISTS {self.job_name};")
+
+    @classmethod
+    def tearDownClass(cls):
+        shutdown_ray()
+        execute_query_fetch_all(cls.evadb, f"DROP JOB IF EXISTS {cls.job_name};")
+
+    def test_invalid_query_in_job_should_raise_exception(self):
+        # missing closing paranthesis in the query
+        query = f"""CREATE JOB {self.job_name} AS {{
+                    CREATE OR REPLACE FUNCTION HomeSalesForecast FROM
+                        ( SELECT * FROM postgres_data.home_sales
+                    TYPE Forecasting
+                    PREDICT 'price';
+                }}
+                START '2023-04-01 01:10:00'
+                END '2023-05-01'
+                EVERY 2 week;
+            """
+        with self.assertRaisesRegex(Exception, "Failed to parse the job query"):
+            execute_query_fetch_all(self.evadb, query)
+
+    def test_create_job_should_add_the_entry(self):
+        queries = [
+            """CREATE OR REPLACE FUNCTION HomeSalesForecast FROM
+                ( SELECT * FROM postgres_data.home_sales )
+                TYPE Forecasting
+                PREDICT 'price';""",
+            "Select HomeSalesForecast(10);",
+        ]
+        start = "2023-04-01 01:10:00"
+        end = "2023-05-01"
+        repeat_interval = 2
+        repeat_period = "week"
+
+        all_queries = "".join(queries)
+        query = f"""CREATE JOB {self.job_name} AS {{
+                   {all_queries}
+                }}
+                START '{start}'
+                END '{end}'
+                EVERY {repeat_interval} {repeat_period};"""
+
+        execute_query_fetch_all(self.evadb, query)
+
+        datetime_format = "%Y-%m-%d %H:%M:%S"
+        date_format = "%Y-%m-%d"
+        job_entry = self.evadb.catalog().get_job_catalog_entry(self.job_name)
+        self.assertEqual(job_entry.name, self.job_name)
+        self.assertEqual(
+            job_entry.start_time, datetime.strptime(start, datetime_format)
+        )
+        self.assertEqual(job_entry.end_time, datetime.strptime(end, date_format))
+        self.assertEqual(job_entry.repeat_interval, 2 * 7 * 24 * 60 * 60)
+        self.assertEqual(job_entry.active, True)
+        self.assertEqual(len(job_entry.queries), len(queries))
+
+    def test_should_create_job_with_if_not_exists(self):
+        if_not_exists = "IF NOT EXISTS"
+
+        queries = [
+            """CREATE OR REPLACE FUNCTION HomeSalesForecast FROM
+                ( SELECT * FROM postgres_data.home_sales )
+                TYPE Forecasting
+                PREDICT 'price';""",
+            "Select HomeSalesForecast(10);",
+        ]
+
+        query = """CREATE JOB {} {} AS {{
+                    {}
+                }}
+                START '2023-04-01'
+                END '2023-05-01'
+                EVERY 2 week;
+            """
+
+        # Create the database.
+        execute_query_fetch_all(
+            self.evadb, query.format(if_not_exists, self.job_name, "".join(queries))
+        )
+
+        # Trying to create the same database should raise an exception.
+        with self.assertRaises(ExecutorError):
+            execute_query_fetch_all(
+                self.evadb, query.format("", self.job_name, "".join(queries))
+            )
+
+        # Trying to create the same database should warn if "IF NOT EXISTS" is provided.
+        execute_query_fetch_all(
+            self.evadb, query.format(if_not_exists, self.job_name, "".join(queries))
+        )
+
+
+if __name__ == "__main__":
+    unittest.main()
diff --git a/test/integration_tests/short/test_drop_executor.py b/test/integration_tests/short/test_drop_executor.py
index 632aa4a008..53dc1211eb 100644
--- a/test/integration_tests/short/test_drop_executor.py
+++ b/test/integration_tests/short/test_drop_executor.py
@@ -245,3 +245,39 @@ def test_should_drop_database(self):
         result = execute_query_fetch_all(
             self.evadb, f"DROP DATABASE IF EXISTS {database_name}"
         )
+
+    def test_should_drop_job(self):
+        # Create database.
+        job_name = "test_async_job"
+
+        query = f"""CREATE JOB {job_name} AS {{
+            SELECT * from job_catalog;
+        }}
+        START '2023-04-01'
+        END '2023-05-01'
+        EVERY 2 week;"""
+
+        execute_query_fetch_all(self.evadb, query)
+        self.assertIsNotNone(self.evadb.catalog().get_job_catalog_entry(job_name))
+
+        # DROP JOB
+        execute_query_fetch_all(self.evadb, f"DROP JOB {job_name}")
+        self.assertIsNone(self.evadb.catalog().get_job_catalog_entry(job_name))
+
+        # DROP should pass with warning
+        result = execute_query_fetch_all(self.evadb, f"DROP JOB IF EXISTS {job_name}")
+        self.assertTrue("does not exist" in result.frames.to_string())
+
+        # DROP should throw error
+        with self.assertRaises(ExecutorError):
+            execute_query_fetch_all(
+                self.evadb,
+                f"DROP JOB {job_name}",
+                do_not_print_exceptions=True,
+            )
+
+        # We should be able to add the database again
+        execute_query_fetch_all(self.evadb, query)
+
+        # clean up
+        result = execute_query_fetch_all(self.evadb, f"DROP JOB IF EXISTS {job_name}")
diff --git a/test/unit_tests/parser/test_parser.py b/test/unit_tests/parser/test_parser.py
index 6241323d44..6086db088e 100644
--- a/test/unit_tests/parser/test_parser.py
+++ b/test/unit_tests/parser/test_parser.py
@@ -1243,3 +1243,30 @@ def test_class_equality(self):
         self.assertNotEqual(tuple_frame, table_ref)
         self.assertNotEqual(join_node, table_ref)
         self.assertNotEqual(table_ref, table_info)
+
+    def test_create_job(self):
+        queries = [
+            """CREATE OR REPLACE FUNCTION HomeSalesForecast FROM
+                ( SELECT * FROM postgres_data.home_sales )
+                TYPE Forecasting
+                PREDICT 'price';""",
+            "Select HomeSalesForecast(10);",
+        ]
+        job_query = f"""CREATE JOB my_job AS {{
+            {''.join(queries)}
+        }}
+        START '2023-04-01'
+        END '2023-05-01'
+        EVERY 2 hour
+        """
+
+        parser = Parser()
+        job_stmt = parser.parse(job_query)[0]
+        self.assertEqual(job_stmt.job_name, "my_job")
+        self.assertEqual(len(job_stmt.queries), 2)
+        self.assertTrue(queries[0].rstrip(";") == str(job_stmt.queries[0]))
+        self.assertTrue(queries[1].rstrip(";") == str(job_stmt.queries[1]))
+        self.assertEqual(job_stmt.start_time, "2023-04-01")
+        self.assertEqual(job_stmt.end_time, "2023-05-01")
+        self.assertEqual(job_stmt.repeat_interval, 2)
+        self.assertEqual(job_stmt.repeat_period, "hour")
diff --git a/test/unit_tests/utils/test_job_scheduler.py b/test/unit_tests/utils/test_job_scheduler.py
new file mode 100644
index 0000000000..36f54cd9b6
--- /dev/null
+++ b/test/unit_tests/utils/test_job_scheduler.py
@@ -0,0 +1,81 @@
+# coding=utf-8
+# Copyright 2018-2023 EvaDB
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import unittest
+from datetime import datetime, timedelta
+
+from mock import MagicMock
+
+from evadb.catalog.models.utils import JobCatalogEntry
+from evadb.utils.job_scheduler import JobScheduler
+
+
+class JobSchedulerTests(unittest.TestCase):
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+
+    def get_dummy_job_catalog_entry(self, active, job_name, next_run):
+        return JobCatalogEntry(
+            name=job_name,
+            queries=None,
+            start_time=None,
+            end_time=None,
+            repeat_interval=None,
+            active=active,
+            next_scheduled_run=next_run,
+            created_at=None,
+            updated_at=None,
+        )
+
+    def test_sleep_time_calculation(self):
+        past_job = self.get_dummy_job_catalog_entry(
+            True, "past_job", datetime.now() - timedelta(seconds=10)
+        )
+        future_job = self.get_dummy_job_catalog_entry(
+            True, "future_job", datetime.now() + timedelta(seconds=20)
+        )
+
+        job_scheduler = JobScheduler(MagicMock())
+
+        self.assertEqual(job_scheduler._get_sleep_time(past_job), 0)
+        self.assertGreaterEqual(job_scheduler._get_sleep_time(future_job), 10)
+        self.assertEqual(job_scheduler._get_sleep_time(None), 30)
+
+    def test_update_next_schedule_run(self):
+        future_time = datetime.now() + timedelta(seconds=1000)
+        job_scheduler = JobScheduler(MagicMock())
+        job_entry = self.get_dummy_job_catalog_entry(True, "job", datetime.now())
+
+        # job which runs just once
+        job_entry.end_time = future_time
+        status, next_run = job_scheduler._update_next_schedule_run(job_entry)
+        self.assertEqual(status, False, "status for one time job should be false")
+
+        # recurring job with valid end date
+        job_entry.end_time = future_time
+        job_entry.repeat_interval = 120
+        expected_next_run = datetime.now() + timedelta(seconds=120)
+        status, next_run = job_scheduler._update_next_schedule_run(job_entry)
+        self.assertEqual(status, True, "status for recurring time job should be true")
+        self.assertGreaterEqual(next_run, expected_next_run)
+
+        # recurring job with expired end date
+        job_entry.end_time = datetime.now() + timedelta(seconds=60)
+        job_entry.repeat_interval = 120
+        expected_next_run = datetime.now() + timedelta(seconds=120)
+        status, next_run = job_scheduler._update_next_schedule_run(job_entry)
+        self.assertEqual(
+            status, False, "status for rexpired ecurring time job should be false"
+        )
+        self.assertLessEqual(next_run, datetime.now())

From 2575f4f75735de95143dea697526bfcf612be590 Mon Sep 17 00:00:00 2001
From: Andy Xu <xzdandy@gmail.com>
Date: Thu, 16 Nov 2023 09:53:45 -0800
Subject: [PATCH 60/64] Fix python3.8 failing testcases due to type hint
 (#1364)

---
 evadb/catalog/catalog_manager.py                      | 4 ++--
 evadb/catalog/services/job_history_catalog_service.py | 3 ++-
 2 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/evadb/catalog/catalog_manager.py b/evadb/catalog/catalog_manager.py
index 62ad30a59e..8482bf1bd6 100644
--- a/evadb/catalog/catalog_manager.py
+++ b/evadb/catalog/catalog_manager.py
@@ -333,7 +333,7 @@ def insert_job_history_catalog_entry(
 
         return job_history_entry
 
-    def get_job_history_by_job_id(self, job_id: int) -> list[JobHistoryCatalogEntry]:
+    def get_job_history_by_job_id(self, job_id: int) -> List[JobHistoryCatalogEntry]:
         """Returns all the entries present for this job_id on in the history.
 
         Args:
@@ -343,7 +343,7 @@ def get_job_history_by_job_id(self, job_id: int) -> list[JobHistoryCatalogEntry]
 
     def update_job_history_end_time(
         self, job_id: int, execution_start_time: datetime, execution_end_time: datetime
-    ) -> list[JobHistoryCatalogEntry]:
+    ) -> List[JobHistoryCatalogEntry]:
         """Updates the execution_end_time for this job history matching job_id and execution_start_time.
 
         Args:
diff --git a/evadb/catalog/services/job_history_catalog_service.py b/evadb/catalog/services/job_history_catalog_service.py
index bd1b27c8b9..7082c3f3e4 100644
--- a/evadb/catalog/services/job_history_catalog_service.py
+++ b/evadb/catalog/services/job_history_catalog_service.py
@@ -14,6 +14,7 @@
 # limitations under the License.
 
 import datetime
+from typing import List
 
 from sqlalchemy import and_
 from sqlalchemy.orm import Session
@@ -54,7 +55,7 @@ def insert_entry(
 
         return job_history_catalog_obj.as_dataclass()
 
-    def get_entry_by_job_id(self, job_id: int) -> list[JobHistoryCatalogEntry]:
+    def get_entry_by_job_id(self, job_id: int) -> List[JobHistoryCatalogEntry]:
         """
         Get all the job history catalog entry with given job id.
         Arguments:

From 69b39b82139821776a37e3ddede1f14857562155 Mon Sep 17 00:00:00 2001
From: Sayan Sinha <sayan.sinha@cc.gatech.edu>
Date: Thu, 16 Nov 2023 12:54:01 -0500
Subject: [PATCH 61/64] Add feedback for forecasting (#1258)

Provide feedback when `Forecasting` UDF is called in the following ways:

- [x] Reporting confidence intervals
- [x] Returning a metric for the forecasting performance.
- [x] Providing suggestions in simple special cases, such as during Flat
predictions.

Eg:
```sql
SELECT HomeForecast();
```

```
SUGGESTION: Predictions are flat. Consider using LIBRARY 'neuralforecast' for more accrate predictions.
```

Partially fixes #1257 and #1243.

---------

Co-authored-by: Andy Xu <xzdandy@gmail.com>
---
 .../source/reference/ai/model-forecasting.rst |  22 ++-
 evadb/binder/statement_binder.py              |  17 +++
 evadb/executor/create_function_executor.py    | 127 ++++++++++++++++--
 evadb/functions/forecast.py                   |  61 ++++++++-
 .../long/test_model_forecasting.py            |  30 ++++-
 .../binder/test_statement_binder.py           |  36 ++++-
 6 files changed, 269 insertions(+), 24 deletions(-)

diff --git a/docs/source/reference/ai/model-forecasting.rst b/docs/source/reference/ai/model-forecasting.rst
index 48f644e690..f339342c6d 100644
--- a/docs/source/reference/ai/model-forecasting.rst
+++ b/docs/source/reference/ai/model-forecasting.rst
@@ -3,6 +3,7 @@
 Time Series Forecasting
 ========================
 
+A Time Series is a series of data points recorded at different time intervals. Time series forecasting involves estimating future values of a time series by analyzing historical data.
 You can train a forecasting model easily in EvaDB.
 
 .. note::
@@ -28,15 +29,14 @@ Next, we create a function of `TYPE Forecasting`. We must enter the column name
    CREATE FUNCTION IF NOT EXISTS Forecast FROM
    (SELECT y FROM AirData)
    TYPE Forecasting
+   HORIZON 12
    PREDICT 'y';
 
 This trains a forecasting model. The model can be called by providing the horizon for forecasting.
 
 .. code-block:: sql
 
-   SELECT Forecast(12);
-
-Here, the horizon is `12`, which represents the forecast 12 steps into the future.
+   SELECT Forecast();
 
 
 Forecast Parameters
@@ -61,10 +61,22 @@ EvaDB's default forecast framework is `statsforecast <https://nixtla.github.io/s
      - If LIBRARY is `statsforecast`, we can select one of ARIMA, ting, ETS, Theta. The default is ARIMA. Check `Automatic Forecasting <https://nixtla.mintlify.app/statsforecast/index.html#automatic-forecasting>`_ to learn details about these models. If LIBRARY is `neuralforecast`, we can select one of NHITS or NBEATS. The default is NBEATS. Check `NBEATS docs <https://nixtla.github.io/neuralforecast/models.nbeats.html>`_ for details.
    * - AUTO (str, default: 'T')
      - If set to 'T', it enables automatic hyperparameter optimization. Must be set to 'T' for `statsforecast` library. One may set this parameter to `false` if LIBRARY is `neuralforecast` for faster (but less reliable) results.
-   * - Frequency (str, default: 'auto')
+   * - CONF (int, default: 90)
+     - Sets the confidence interval in percentage for the forecast. Must be a number between 0 and 100. The lower and upper bounds of the confidence interval are returned in two separate columns, named as the PREDICT column with `-lo` and `-hi` suffixes.
+   * - FREQUENCY (str, default: 'auto')
      - A string indicating the frequency of the data. The common used ones are D, W, M, Y, which respectively represents day-, week-, month- and year- end frequency. The default value is M. Check `pandas available frequencies <https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`_ for all available frequencies. If it is not provided, the frequency is attempted to be determined automatically.
+   * - METRICS (str, default: 'True')
+     - Compute NRMSE by performing cross-validation. It is `False` by default if `LIBRARY` is `neuralforecast` as it can take an extensively long time. The metrics are logged locally.
+
+.. note::
+
+    If columns other than the ones required as mentioned above are passed while creating the function, they will be treated as exogenous variables if LIBRARY is `neuralforecast`. Otherwise, they would be ignored.
+
+
+.. note::
+  
+   `Forecasting` function also logs suggestions. Logged information, such as metrics and suggestions, is sent to STDOUT by default. If you wish not to print it, please send `FALSE` as an optional argument while calling the function. Eg. `SELECT Forecast(FALSE);`
 
-Note: If columns other than the ones required as mentioned above are passed while creating the function, they will be treated as exogenous variables if LIBRARY is `neuralforecast`. Otherwise, they would be ignored.
 
 Below is an example query specifying the above parameters:
 
diff --git a/evadb/binder/statement_binder.py b/evadb/binder/statement_binder.py
index e08085a1d8..07e720335d 100644
--- a/evadb/binder/statement_binder.py
+++ b/evadb/binder/statement_binder.py
@@ -89,6 +89,7 @@ def _bind_create_function_statement(self, node: CreateFunctionStatement):
                 for column in all_column_list:
                     if column.name in predict_columns:
                         column.name = column.name + "_predictions"
+
                         outputs.append(column)
                     else:
                         inputs.append(column)
@@ -122,6 +123,22 @@ def _bind_create_function_statement(self, node: CreateFunctionStatement):
                 assert (
                     len(required_columns) == 0
                 ), f"Missing required {required_columns} columns for forecasting function."
+                outputs.extend(
+                    [
+                        ColumnDefinition(
+                            arg_map.get("predict", "y") + "-lo",
+                            ColumnType.FLOAT,
+                            None,
+                            None,
+                        ),
+                        ColumnDefinition(
+                            arg_map.get("predict", "y") + "-hi",
+                            ColumnType.FLOAT,
+                            None,
+                            None,
+                        ),
+                    ]
+                )
             else:
                 raise BinderError(
                     f"Unsupported type of function: {node.function_type}."
diff --git a/evadb/executor/create_function_executor.py b/evadb/executor/create_function_executor.py
index dc57bbc283..9488195927 100644
--- a/evadb/executor/create_function_executor.py
+++ b/evadb/executor/create_function_executor.py
@@ -22,6 +22,7 @@
 from pathlib import Path
 from typing import Dict, List
 
+import numpy as np
 import pandas as pd
 
 from evadb.catalog.catalog_utils import get_metadata_properties
@@ -55,6 +56,10 @@
 from evadb.utils.logging_manager import logger
 
 
+def root_mean_squared_error(y_true, y_pred):
+    return np.sqrt(np.mean(np.square(y_pred - y_true)))
+
+
 # From https://stackoverflow.com/a/34333710
 @contextlib.contextmanager
 def set_env(**environ):
@@ -354,6 +359,20 @@ def handle_forecasting_function(self):
             aggregated_batch.rename(columns={arg_map["time"]: "ds"})
         if "id" in arg_map.keys():
             aggregated_batch.rename(columns={arg_map["id"]: "unique_id"})
+        if "conf" in arg_map.keys():
+            try:
+                conf = round(arg_map["conf"])
+            except Exception:
+                err_msg = "Confidence must be a number."
+                logger.error(err_msg)
+                raise FunctionIODefinitionError(err_msg)
+        else:
+            conf = 90
+
+        if conf > 100:
+            err_msg = "Confidence must <= 100."
+            logger.error(err_msg)
+            raise FunctionIODefinitionError(err_msg)
 
         data = aggregated_batch.frames
         if "unique_id" not in list(data.columns):
@@ -396,18 +415,51 @@ def handle_forecasting_function(self):
         if library == "neuralforecast":
             try_to_import_neuralforecast()
             from neuralforecast import NeuralForecast
-            from neuralforecast.auto import AutoNBEATS, AutoNHITS
-            from neuralforecast.models import NBEATS, NHITS
+            from neuralforecast.auto import (
+                AutoDeepAR,
+                AutoFEDformer,
+                AutoInformer,
+                AutoNBEATS,
+                AutoNHITS,
+                AutoPatchTST,
+                AutoTFT,
+            )
+
+            # from neuralforecast.auto import AutoAutoformer as AutoAFormer
+            from neuralforecast.losses.pytorch import MQLoss
+            from neuralforecast.models import (
+                NBEATS,
+                NHITS,
+                TFT,
+                DeepAR,
+                FEDformer,
+                Informer,
+                PatchTST,
+            )
+
+            # from neuralforecast.models import Autoformer as AFormer
 
             model_dict = {
                 "AutoNBEATS": AutoNBEATS,
                 "AutoNHITS": AutoNHITS,
                 "NBEATS": NBEATS,
                 "NHITS": NHITS,
+                "PatchTST": PatchTST,
+                "AutoPatchTST": AutoPatchTST,
+                "DeepAR": DeepAR,
+                "AutoDeepAR": AutoDeepAR,
+                "FEDformer": FEDformer,
+                "AutoFEDformer": AutoFEDformer,
+                # "AFormer": AFormer,
+                # "AutoAFormer": AutoAFormer,
+                "Informer": Informer,
+                "AutoInformer": AutoInformer,
+                "TFT": TFT,
+                "AutoTFT": AutoTFT,
             }
 
             if "model" not in arg_map.keys():
-                arg_map["model"] = "NBEATS"
+                arg_map["model"] = "TFT"
 
             if "auto" not in arg_map.keys() or (
                 arg_map["auto"].lower()[0] == "t"
@@ -441,13 +493,16 @@ def handle_forecasting_function(self):
                 else:
                     model_args_config["hist_exog_list"] = exogenous_columns
 
-                    def get_optuna_config(trial):
-                        return model_args_config
+            if "auto" in arg_map["model"].lower():
 
-                    model_args["config"] = get_optuna_config
-                    model_args["backend"] = "optuna"
+                def get_optuna_config(trial):
+                    return model_args_config
+
+                model_args["config"] = get_optuna_config
+                model_args["backend"] = "optuna"
 
             model_args["h"] = horizon
+            model_args["loss"] = MQLoss(level=[conf])
 
             model = NeuralForecast(
                 [model_here(**model_args)],
@@ -492,7 +547,11 @@ def get_optuna_config(trial):
 
         data["ds"] = pd.to_datetime(data["ds"])
 
-        model_save_dir_name = library + "_" + arg_map["model"] + "_" + new_freq
+        model_save_dir_name = (
+            library + "_" + arg_map["model"] + "_" + new_freq
+            if "statsforecast" in library
+            else library + "_" + str(conf) + "_" + arg_map["model"] + "_" + new_freq
+        )
         if len(data.columns) >= 4 and library == "neuralforecast":
             model_save_dir_name += "_exogenous_" + str(sorted(exogenous_columns))
 
@@ -524,6 +583,7 @@ def get_optuna_config(trial):
                     data[column] = data.apply(
                         lambda x: self.convert_to_numeric(x[column]), axis=1
                     )
+            rmses = []
             if library == "neuralforecast":
                 cuda_devices_here = "0"
                 if "CUDA_VISIBLE_DEVICES" in os.environ:
@@ -532,6 +592,26 @@ def get_optuna_config(trial):
                 with set_env(CUDA_VISIBLE_DEVICES=cuda_devices_here):
                     model.fit(df=data, val_size=horizon)
                     model.save(model_path, overwrite=True)
+                    if "metrics" in arg_map and arg_map["metrics"].lower()[0] == "t":
+                        crossvalidation_df = model.cross_validation(
+                            df=data, val_size=horizon
+                        )
+                        for uid in crossvalidation_df.unique_id.unique():
+                            crossvalidation_df_here = crossvalidation_df[
+                                crossvalidation_df.unique_id == uid
+                            ]
+                            rmses.append(
+                                root_mean_squared_error(
+                                    crossvalidation_df_here.y,
+                                    crossvalidation_df_here[
+                                        arg_map["model"] + "-median"
+                                    ],
+                                )
+                                / np.mean(crossvalidation_df_here.y)
+                            )
+                            mean_rmse = np.mean(rmses)
+                            with open(model_path + "_rmse", "w") as f:
+                                f.write(str(mean_rmse) + "\n")
             else:
                 # The following lines of code helps eliminate the math error encountered in statsforecast when only one datapoint is available in a time series
                 for col in data["unique_id"].unique():
@@ -541,14 +621,40 @@ def get_optuna_config(trial):
                         )
 
                 model.fit(df=data[["ds", "y", "unique_id"]])
+                hypers = ""
+                if "arima" in arg_map["model"].lower():
+                    from statsforecast.arima import arima_string
+
+                    hypers += arima_string(model.fitted_[0, 0].model_)
                 f = open(model_path, "wb")
                 pickle.dump(model, f)
                 f.close()
+                if "metrics" not in arg_map or arg_map["metrics"].lower()[0] == "t":
+                    crossvalidation_df = model.cross_validation(
+                        df=data[["ds", "y", "unique_id"]],
+                        h=horizon,
+                        step_size=24,
+                        n_windows=1,
+                    ).reset_index()
+                    for uid in crossvalidation_df.unique_id.unique():
+                        crossvalidation_df_here = crossvalidation_df[
+                            crossvalidation_df.unique_id == uid
+                        ]
+                        rmses.append(
+                            root_mean_squared_error(
+                                crossvalidation_df_here.y,
+                                crossvalidation_df_here[arg_map["model"]],
+                            )
+                            / np.mean(crossvalidation_df_here.y)
+                        )
+                    mean_rmse = np.mean(rmses)
+                    with open(model_path + "_rmse", "w") as f:
+                        f.write(str(mean_rmse) + "\n")
+                        f.write(hypers + "\n")
         elif not Path(model_path).exists():
             model_path = os.path.join(model_dir, existing_model_files[-1])
-
         io_list = self._resolve_function_io(None)
-
+        data["ds"] = data.ds.astype(str)
         metadata_here = [
             FunctionMetadataCatalogEntry("model_name", arg_map["model"]),
             FunctionMetadataCatalogEntry("model_path", model_path),
@@ -563,6 +669,7 @@ def get_optuna_config(trial):
             ),
             FunctionMetadataCatalogEntry("horizon", horizon),
             FunctionMetadataCatalogEntry("library", library),
+            FunctionMetadataCatalogEntry("conf", conf),
         ]
 
         return (
diff --git a/evadb/functions/forecast.py b/evadb/functions/forecast.py
index 46376852d2..6041e6b499 100644
--- a/evadb/functions/forecast.py
+++ b/evadb/functions/forecast.py
@@ -14,6 +14,7 @@
 # limitations under the License.
 
 
+import os
 import pickle
 
 import pandas as pd
@@ -37,6 +38,7 @@ def setup(
         id_column_rename: str,
         horizon: int,
         library: str,
+        conf: int,
     ):
         self.library = library
         if "neuralforecast" in self.library:
@@ -53,18 +55,69 @@ def setup(
         self.time_column_rename = time_column_rename
         self.id_column_rename = id_column_rename
         self.horizon = int(horizon)
+        self.library = library
+        self.suggestion_dict = {
+            1: "Predictions are flat. Consider using LIBRARY 'neuralforecast' for more accrate predictions.",
+        }
+        self.conf = conf
+        self.hypers = None
+        self.rmse = None
+        if os.path.isfile(model_path + "_rmse"):
+            with open(model_path + "_rmse", "r") as f:
+                self.rmse = float(f.readline())
+                if "arima" in model_name.lower():
+                    self.hypers = "p,d,q: " + f.readline()
 
     def forward(self, data) -> pd.DataFrame:
+        log_str = ""
         if self.library == "statsforecast":
-            forecast_df = self.model.predict(h=self.horizon)
+            forecast_df = self.model.predict(
+                h=self.horizon, level=[self.conf]
+            ).reset_index()
         else:
-            forecast_df = self.model.predict()
-        forecast_df.reset_index(inplace=True)
+            forecast_df = self.model.predict().reset_index()
+
+        # Feedback
+        if len(data) == 0 or list(list(data.iloc[0]))[0] is True:
+            # Suggestions
+            suggestion_list = []
+            # 1: Flat predictions
+            if self.library == "statsforecast":
+                for type_here in forecast_df["unique_id"].unique():
+                    if (
+                        forecast_df.loc[forecast_df["unique_id"] == type_here][
+                            self.model_name
+                        ].nunique()
+                        == 1
+                    ):
+                        suggestion_list.append(1)
+
+            for suggestion in set(suggestion_list):
+                log_str += "\nSUGGESTION: " + self.suggestion_dict[suggestion]
+
+            # Metrics
+            if self.rmse is not None:
+                log_str += "\nMean normalized RMSE: " + str(self.rmse)
+            if self.hypers is not None:
+                log_str += "\nHyperparameters: " + self.hypers
+
+            print(log_str)
+
         forecast_df = forecast_df.rename(
             columns={
                 "unique_id": self.id_column_rename,
                 "ds": self.time_column_rename,
-                self.model_name: self.predict_column_rename,
+                self.model_name
+                if self.library == "statsforecast"
+                else self.model_name + "-median": self.predict_column_rename,
+                self.model_name
+                + "-lo-"
+                + str(self.conf): self.predict_column_rename
+                + "-lo",
+                self.model_name
+                + "-hi-"
+                + str(self.conf): self.predict_column_rename
+                + "-hi",
             }
         )[: self.horizon * forecast_df["unique_id"].nunique()]
         return forecast_df
diff --git a/test/integration_tests/long/test_model_forecasting.py b/test/integration_tests/long/test_model_forecasting.py
index 47ffe65a83..c376f7610c 100644
--- a/test/integration_tests/long/test_model_forecasting.py
+++ b/test/integration_tests/long/test_model_forecasting.py
@@ -94,9 +94,21 @@ def test_forecast(self):
         result = execute_query_fetch_all(self.evadb, predict_query)
         self.assertEqual(len(result), 12)
         self.assertEqual(
-            result.columns, ["airforecast.unique_id", "airforecast.ds", "airforecast.y"]
+            result.columns,
+            [
+                "airforecast.unique_id",
+                "airforecast.ds",
+                "airforecast.y",
+                "airforecast.y-lo",
+                "airforecast.y-hi",
+            ],
         )
 
+    @pytest.mark.skip(
+        reason="Neuralforecast intergration test takes too long to complete without GPU."
+    )
+    @forecast_skip_marker
+    def test_forecast_neuralforecast(self):
         create_predict_udf = """
             CREATE FUNCTION AirPanelForecast FROM
             (SELECT unique_id, ds, y, trend FROM AirDataPanel)
@@ -116,7 +128,13 @@ def test_forecast(self):
         self.assertEqual(len(result), 24)
         self.assertEqual(
             result.columns,
-            ["airpanelforecast.unique_id", "airpanelforecast.ds", "airpanelforecast.y"],
+            [
+                "airpanelforecast.unique_id",
+                "airpanelforecast.ds",
+                "airpanelforecast.y",
+                "airpanelforecast.y-lo",
+                "airpanelforecast.y-hi",
+            ],
         )
 
     @forecast_skip_marker
@@ -143,7 +161,13 @@ def test_forecast_with_column_rename(self):
         self.assertEqual(len(result), 24)
         self.assertEqual(
             result.columns,
-            ["homeforecast.type", "homeforecast.saledate", "homeforecast.ma"],
+            [
+                "homeforecast.type",
+                "homeforecast.saledate",
+                "homeforecast.ma",
+                "homeforecast.ma-lo",
+                "homeforecast.ma-hi",
+            ],
         )
 
 
diff --git a/test/unit_tests/binder/test_statement_binder.py b/test/unit_tests/binder/test_statement_binder.py
index ee2e9305e4..fb7b148beb 100644
--- a/test/unit_tests/binder/test_statement_binder.py
+++ b/test/unit_tests/binder/test_statement_binder.py
@@ -475,6 +475,16 @@ def test_bind_create_function_should_bind_forecast_with_default_columns(self):
                 array_type=MagicMock(),
                 array_dimensions=MagicMock(),
             )
+            y_lo_col_obj = ColumnCatalogEntry(
+                name="y-lo",
+                type=ColumnType.FLOAT,
+                array_type=None,
+            )
+            y_hi_col_obj = ColumnCatalogEntry(
+                name="y-hi",
+                type=ColumnType.FLOAT,
+                array_type=None,
+            )
             create_function_statement.query.target_list = [
                 TupleValueExpression(
                     name=id_col_obj.name, table_alias="a", col_object=id_col_obj
@@ -506,7 +516,13 @@ def test_bind_create_function_should_bind_forecast_with_default_columns(self):
                         col_obj.array_type,
                         col_obj.array_dimensions,
                     )
-                    for col_obj in (id_col_obj, ds_col_obj, y_col_obj)
+                    for col_obj in (
+                        id_col_obj,
+                        ds_col_obj,
+                        y_col_obj,
+                        y_lo_col_obj,
+                        y_hi_col_obj,
+                    )
                 ]
             )
             self.assertEqual(create_function_statement.inputs, expected_inputs)
@@ -534,6 +550,16 @@ def test_bind_create_function_should_bind_forecast_with_renaming_columns(self):
                 array_type=MagicMock(),
                 array_dimensions=MagicMock(),
             )
+            y_lo_col_obj = ColumnCatalogEntry(
+                name="ma-lo",
+                type=ColumnType.FLOAT,
+                array_type=None,
+            )
+            y_hi_col_obj = ColumnCatalogEntry(
+                name="ma-hi",
+                type=ColumnType.FLOAT,
+                array_type=None,
+            )
             create_function_statement.query.target_list = [
                 TupleValueExpression(
                     name=id_col_obj.name, table_alias="a", col_object=id_col_obj
@@ -569,7 +595,13 @@ def test_bind_create_function_should_bind_forecast_with_renaming_columns(self):
                         col_obj.array_type,
                         col_obj.array_dimensions,
                     )
-                    for col_obj in (id_col_obj, ds_col_obj, y_col_obj)
+                    for col_obj in (
+                        id_col_obj,
+                        ds_col_obj,
+                        y_col_obj,
+                        y_lo_col_obj,
+                        y_hi_col_obj,
+                    )
                 ]
             )
             self.assertEqual(create_function_statement.inputs, expected_inputs)

From 0c25a4429d23ddbe65d3a5aaf474d3838a03dd6a Mon Sep 17 00:00:00 2001
From: jineetd <35962652+jineetd@users.noreply.github.com>
Date: Fri, 17 Nov 2023 05:16:00 -0500
Subject: [PATCH 62/64] Adding changes for Flaml Sklearn integration (#1361)

Flaml provides support for Sklearn models like Random Forests, KNN,
Extra Trees Regressor, and Logistic Regression with regularization. We
plan to integrate these ML models into EVADB.
Link for Flaml documentation:
https://microsoft.github.io/FLAML/docs/Use-Cases/Task-Oriented-AutoML

---------

Co-authored-by: Jineet Desai <jdesai61@gatech.edu>
---
 evadb/configuration/constants.py              |  2 ++
 evadb/executor/create_function_executor.py    | 33 +++++++++++++------
 evadb/functions/sklearn.py                    |  4 +--
 evadb/functions/xgboost.py                    |  4 +--
 evadb/utils/generic_utils.py                  | 27 +++------------
 .../long/test_model_train.py                  |  4 ++-
 test/markers.py                               |  7 ++--
 7 files changed, 39 insertions(+), 42 deletions(-)

diff --git a/evadb/configuration/constants.py b/evadb/configuration/constants.py
index 3665a28727..126e6bcfca 100644
--- a/evadb/configuration/constants.py
+++ b/evadb/configuration/constants.py
@@ -36,3 +36,5 @@
 DEFAULT_DOCUMENT_CHUNK_OVERLAP = 200
 DEFAULT_TRAIN_REGRESSION_METRIC = "rmse"
 DEFAULT_XGBOOST_TASK = "regression"
+DEFAULT_SKLEARN_TRAIN_MODEL = "rf"
+SKLEARN_SUPPORTED_MODELS = ["rf", "extra_tree", "kneighbor"]
diff --git a/evadb/executor/create_function_executor.py b/evadb/executor/create_function_executor.py
index 9488195927..f686794184 100644
--- a/evadb/executor/create_function_executor.py
+++ b/evadb/executor/create_function_executor.py
@@ -30,9 +30,11 @@
 from evadb.catalog.models.function_io_catalog import FunctionIOCatalogEntry
 from evadb.catalog.models.function_metadata_catalog import FunctionMetadataCatalogEntry
 from evadb.configuration.constants import (
+    DEFAULT_SKLEARN_TRAIN_MODEL,
     DEFAULT_TRAIN_REGRESSION_METRIC,
     DEFAULT_TRAIN_TIME_LIMIT,
     DEFAULT_XGBOOST_TASK,
+    SKLEARN_SUPPORTED_MODELS,
     EvaDB_INSTALLATION_DIR,
 )
 from evadb.database import EvaDBDatabase
@@ -45,13 +47,12 @@
 from evadb.utils.generic_utils import (
     load_function_class_from_file,
     string_comparison_case_insensitive,
+    try_to_import_flaml_automl,
     try_to_import_ludwig,
     try_to_import_neuralforecast,
-    try_to_import_sklearn,
     try_to_import_statsforecast,
     try_to_import_torch,
     try_to_import_ultralytics,
-    try_to_import_xgboost,
 )
 from evadb.utils.logging_manager import logger
 
@@ -169,8 +170,7 @@ def handle_sklearn_function(self):
 
         Use Sklearn's regression to train models.
         """
-        try_to_import_sklearn()
-        from sklearn.linear_model import LinearRegression
+        try_to_import_flaml_automl()
 
         assert (
             len(self.children) == 1
@@ -186,13 +186,26 @@ def handle_sklearn_function(self):
         aggregated_batch.drop_column_alias()
 
         arg_map = {arg.key: arg.value for arg in self.node.metadata}
-        model = LinearRegression()
-        Y = aggregated_batch.frames[arg_map["predict"]]
-        aggregated_batch.frames.drop([arg_map["predict"]], axis=1, inplace=True)
+        from flaml import AutoML
+
+        model = AutoML()
+        sklearn_model = arg_map.get("model", DEFAULT_SKLEARN_TRAIN_MODEL)
+        if sklearn_model not in SKLEARN_SUPPORTED_MODELS:
+            raise ValueError(
+                f"Sklearn Model {sklearn_model} provided as input is not supported."
+            )
+        settings = {
+            "time_budget": arg_map.get("time_limit", DEFAULT_TRAIN_TIME_LIMIT),
+            "metric": arg_map.get("metric", DEFAULT_TRAIN_REGRESSION_METRIC),
+            "estimator_list": [sklearn_model],
+            "task": arg_map.get("task", DEFAULT_XGBOOST_TASK),
+        }
         start_time = int(time.time())
-        model.fit(X=aggregated_batch.frames, y=Y)
+        model.fit(
+            dataframe=aggregated_batch.frames, label=arg_map["predict"], **settings
+        )
         train_time = int(time.time()) - start_time
-        score = model.score(X=aggregated_batch.frames, y=Y)
+        score = model.best_loss
         model_path = os.path.join(
             self.db.catalog().get_configuration_catalog_value("model_dir"),
             self.node.name,
@@ -232,7 +245,7 @@ def handle_xgboost_function(self):
 
         We use the Flaml AutoML model for training xgboost models.
         """
-        try_to_import_xgboost()
+        try_to_import_flaml_automl()
 
         assert (
             len(self.children) == 1
diff --git a/evadb/functions/sklearn.py b/evadb/functions/sklearn.py
index 4ab2b0abfe..1333004b09 100644
--- a/evadb/functions/sklearn.py
+++ b/evadb/functions/sklearn.py
@@ -17,7 +17,7 @@
 import pandas as pd
 
 from evadb.functions.abstract.abstract_function import AbstractFunction
-from evadb.utils.generic_utils import try_to_import_sklearn
+from evadb.utils.generic_utils import try_to_import_flaml_automl
 
 
 class GenericSklearnModel(AbstractFunction):
@@ -26,7 +26,7 @@ def name(self) -> str:
         return "GenericSklearnModel"
 
     def setup(self, model_path: str, predict_col: str, **kwargs):
-        try_to_import_sklearn()
+        try_to_import_flaml_automl()
 
         self.model = pickle.load(open(model_path, "rb"))
         self.predict_col = predict_col
diff --git a/evadb/functions/xgboost.py b/evadb/functions/xgboost.py
index 0635294116..9705d09e4b 100644
--- a/evadb/functions/xgboost.py
+++ b/evadb/functions/xgboost.py
@@ -17,7 +17,7 @@
 import pandas as pd
 
 from evadb.functions.abstract.abstract_function import AbstractFunction
-from evadb.utils.generic_utils import try_to_import_xgboost
+from evadb.utils.generic_utils import try_to_import_flaml_automl
 
 
 class GenericXGBoostModel(AbstractFunction):
@@ -26,7 +26,7 @@ def name(self) -> str:
         return "GenericXGBoostModel"
 
     def setup(self, model_path: str, predict_col: str, **kwargs):
-        try_to_import_xgboost()
+        try_to_import_flaml_automl()
 
         self.model = pickle.load(open(model_path, "rb"))
         self.predict_col = predict_col
diff --git a/evadb/utils/generic_utils.py b/evadb/utils/generic_utils.py
index d9af319103..8f362e8cb5 100644
--- a/evadb/utils/generic_utils.py
+++ b/evadb/utils/generic_utils.py
@@ -369,39 +369,20 @@ def is_forecast_available() -> bool:
         return False
 
 
-def try_to_import_sklearn():
-    try:
-        import sklearn  # noqa: F401
-        from sklearn.linear_model import LinearRegression  # noqa: F401
-    except ImportError:
-        raise ValueError(
-            """Could not import sklearn.
-                Please install it with `pip install scikit-learn`."""
-        )
-
-
-def is_sklearn_available() -> bool:
-    try:
-        try_to_import_sklearn()
-        return True
-    except ValueError:  # noqa: E722
-        return False
-
-
-def try_to_import_xgboost():
+def try_to_import_flaml_automl():
     try:
         import flaml  # noqa: F401
         from flaml import AutoML  # noqa: F401
     except ImportError:
         raise ValueError(
-            """Could not import Flaml AutoML.
+            """Could not import Flaml AutML.
                 Please install it with `pip install "flaml[automl]"`."""
         )
 
 
-def is_xgboost_available() -> bool:
+def is_flaml_automl_available() -> bool:
     try:
-        try_to_import_xgboost()
+        try_to_import_flaml_automl()
         return True
     except ValueError:  # noqa: E722
         return False
diff --git a/test/integration_tests/long/test_model_train.py b/test/integration_tests/long/test_model_train.py
index 55c5b5a484..be610674a9 100644
--- a/test/integration_tests/long/test_model_train.py
+++ b/test/integration_tests/long/test_model_train.py
@@ -116,7 +116,9 @@ def test_sklearn_regression(self):
             CREATE OR REPLACE FUNCTION PredictHouseRentSklearn FROM
             ( SELECT number_of_rooms, number_of_bathrooms, days_on_market, rental_price FROM HomeRentals )
             TYPE Sklearn
-            PREDICT 'rental_price';
+            PREDICT 'rental_price'
+            MODEL 'extra_tree'
+            METRIC 'r2';
         """
         execute_query_fetch_all(self.evadb, create_predict_function)
 
diff --git a/test/markers.py b/test/markers.py
index 6fdd2ad3c7..8273f5f0fb 100644
--- a/test/markers.py
+++ b/test/markers.py
@@ -20,6 +20,7 @@
 
 from evadb.utils.generic_utils import (
     is_chromadb_available,
+    is_flaml_automl_available,
     is_forecast_available,
     is_gpu_available,
     is_ludwig_available,
@@ -27,8 +28,6 @@
     is_pinecone_available,
     is_qdrant_available,
     is_replicate_available,
-    is_sklearn_available,
-    is_xgboost_available,
 )
 
 asyncio_skip_marker = pytest.mark.skipif(
@@ -93,11 +92,11 @@
 )
 
 sklearn_skip_marker = pytest.mark.skipif(
-    is_sklearn_available() is False, reason="Run only if sklearn is available"
+    is_flaml_automl_available() is False, reason="Run only if Flaml AutoML is available"
 )
 
 xgboost_skip_marker = pytest.mark.skipif(
-    is_xgboost_available() is False, reason="Run only if xgboost is available"
+    is_flaml_automl_available() is False, reason="Run only if Flaml AutoML is available"
 )
 
 chatgpt_skip_marker = pytest.mark.skip(

From 5aaa447dbabf89236177081672603ccae23c4437 Mon Sep 17 00:00:00 2001
From: Pramod Chunduri <43007047+pchunduri6@users.noreply.github.com>
Date: Fri, 17 Nov 2023 17:46:01 -0500
Subject: [PATCH 63/64] Migrate ChatGPT function to openai v1.0 (#1368)

Migrate ChatGPT function to openai v1.0.

The test is skipped in circleCI because we must supply the
`OPENAI_API_KEY`. The test passes on local machine.

- [x] Upgrade ChatGPT function.
- [x] Upgrade Dall-e function.
- [x] Update unit test cases.
- [x] Verify that notebooks work correctly.
---
 evadb/functions/chatgpt.py                    | 20 ++++++-----
 evadb/functions/dalle.py                      | 19 +++++-----
 setup.py                                      |  2 +-
 .../long/functions/test_chatgpt.py            | 13 +++----
 test/unit_tests/test_dalle.py                 | 35 ++++++++++++++++---
 5 files changed, 59 insertions(+), 30 deletions(-)

diff --git a/evadb/functions/chatgpt.py b/evadb/functions/chatgpt.py
index fadc61191a..bf0d338689 100644
--- a/evadb/functions/chatgpt.py
+++ b/evadb/functions/chatgpt.py
@@ -115,19 +115,21 @@ def setup(
     )
     def forward(self, text_df):
         try_to_import_openai()
-        import openai
+        from openai import OpenAI
 
-        @retry(tries=6, delay=20)
-        def completion_with_backoff(**kwargs):
-            return openai.ChatCompletion.create(**kwargs)
-
-        openai.api_key = self.openai_api_key
-        if len(openai.api_key) == 0:
-            openai.api_key = os.environ.get("OPENAI_API_KEY", "")
+        api_key = self.openai_api_key
+        if len(self.openai_api_key) == 0:
+            api_key = os.environ.get("OPENAI_API_KEY", "")
         assert (
-            len(openai.api_key) != 0
+            len(api_key) != 0
         ), "Please set your OpenAI API key using SET OPENAI_API_KEY = 'sk-' or environment variable (OPENAI_API_KEY)"
 
+        client = OpenAI(api_key=api_key)
+
+        @retry(tries=6, delay=20)
+        def completion_with_backoff(**kwargs):
+            return client.chat.completions.create(**kwargs)
+
         queries = text_df[text_df.columns[0]]
         content = text_df[text_df.columns[0]]
         if len(text_df.columns) > 1:
diff --git a/evadb/functions/dalle.py b/evadb/functions/dalle.py
index 7c1dc39dd0..03c2e77f88 100644
--- a/evadb/functions/dalle.py
+++ b/evadb/functions/dalle.py
@@ -56,24 +56,25 @@ def setup(self, openai_api_key="") -> None:
     )
     def forward(self, text_df):
         try_to_import_openai()
-        import openai
+        from openai import OpenAI
 
-        openai.api_key = self.openai_api_key
-        # If not found, try OS Environment Variable
-        if len(openai.api_key) == 0:
-            openai.api_key = os.environ.get("OPENAI_API_KEY", "")
+        api_key = self.openai_api_key
+        if len(self.openai_api_key) == 0:
+            api_key = os.environ.get("OPENAI_API_KEY", "")
         assert (
-            len(openai.api_key) != 0
-        ), "Please set your OpenAI API key using SET OPENAI_API_KEY = 'sk-'  or environment variable (OPENAI_API_KEY)"
+            len(api_key) != 0
+        ), "Please set your OpenAI API key using SET OPENAI_API_KEY = 'sk-' or environment variable (OPENAI_API_KEY)"
+
+        client = OpenAI(api_key=api_key)
 
         def generate_image(text_df: PandasDataframe):
             results = []
             queries = text_df[text_df.columns[0]]
             for query in queries:
-                response = openai.Image.create(prompt=query, n=1, size="1024x1024")
+                response = client.images.generate(prompt=query, n=1, size="1024x1024")
 
                 # Download the image from the link
-                image_response = requests.get(response["data"][0]["url"])
+                image_response = requests.get(response.data[0].url)
                 image = Image.open(BytesIO(image_response.content))
 
                 # Convert the image to an array format suitable for the DataFrame
diff --git a/setup.py b/setup.py
index 3334fa8361..61dc0b8c66 100644
--- a/setup.py
+++ b/setup.py
@@ -80,7 +80,7 @@ def read(path, encoding="utf-8"):
     "sentence-transformers",
     "protobuf",
     "bs4",
-    "openai==0.28",  # CHATGPT
+    "openai>=1.0",  # CHATGPT
     "gpt4all",  # PRIVATE GPT
     "sentencepiece",  # TRANSFORMERS
 ]
diff --git a/test/integration_tests/long/functions/test_chatgpt.py b/test/integration_tests/long/functions/test_chatgpt.py
index b72612d050..3f8cd9a92e 100644
--- a/test/integration_tests/long/functions/test_chatgpt.py
+++ b/test/integration_tests/long/functions/test_chatgpt.py
@@ -13,6 +13,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import os
 import unittest
 from test.markers import chatgpt_skip_marker
 from test.util import get_evadb_for_testing
@@ -22,9 +23,8 @@
 from evadb.server.command_handler import execute_query_fetch_all
 
 
-def create_dummy_csv_file(config) -> str:
-    tmp_dir_from_config = config.get_value("storage", "tmp_dir")
-
+def create_dummy_csv_file(catalog) -> str:
+    tmp_dir_from_config = catalog.get_configuration_catalog_value("tmp_dir")
     df_dict = [
         {
             "prompt": "summarize",
@@ -49,17 +49,18 @@ def setUp(self) -> None:
             );"""
         execute_query_fetch_all(self.evadb, create_table_query)
 
-        self.csv_file_path = create_dummy_csv_file(self.evadb.config)
+        self.csv_file_path = create_dummy_csv_file(self.evadb.catalog())
 
         csv_query = f"""LOAD CSV '{self.csv_file_path}' INTO MyTextCSV;"""
         execute_query_fetch_all(self.evadb, csv_query)
+        os.environ["OPENAI_API_KEY"] = "sk-..."
 
     def tearDown(self) -> None:
         execute_query_fetch_all(self.evadb, "DROP TABLE IF EXISTS MyTextCSV;")
 
     @chatgpt_skip_marker
     def test_openai_chat_completion_function(self):
-        function_name = "OpenAIChatCompletion"
+        function_name = "ChatGPT"
         execute_query_fetch_all(self.evadb, f"DROP FUNCTION IF EXISTS {function_name};")
 
         create_function_query = f"""CREATE FUNCTION IF NOT EXISTS{function_name}
@@ -69,4 +70,4 @@ def test_openai_chat_completion_function(self):
 
         gpt_query = f"SELECT {function_name}('summarize', content) FROM MyTextCSV;"
         output_batch = execute_query_fetch_all(self.evadb, gpt_query)
-        self.assertEqual(output_batch.columns, ["openaichatcompletion.response"])
+        self.assertEqual(output_batch.columns, ["chatgpt.response"])
diff --git a/test/unit_tests/test_dalle.py b/test/unit_tests/test_dalle.py
index c434a4db4a..373e90e44c 100644
--- a/test/unit_tests/test_dalle.py
+++ b/test/unit_tests/test_dalle.py
@@ -16,13 +16,26 @@
 import unittest
 from io import BytesIO
 from test.util import get_evadb_for_testing
+from typing import List, Optional
 from unittest.mock import MagicMock, patch
 
-from PIL import Image
+from PIL import Image as PILImage
+from pydantic import AnyUrl, BaseModel
 
 from evadb.server.command_handler import execute_query_fetch_all
 
 
+class Image(BaseModel):
+    b64_json: Optional[str]  # Replace with the actual type if different
+    revised_prompt: Optional[str]  # Replace with the actual type if different
+    url: AnyUrl
+
+
+class ImagesResponse(BaseModel):
+    created: Optional[int]  # Replace with the actual type if different
+    data: List[Image]
+
+
 class DallEFunctionTest(unittest.TestCase):
     def setUp(self) -> None:
         self.evadb = get_evadb_for_testing()
@@ -43,10 +56,10 @@ def tearDown(self) -> None:
 
     @patch.dict("os.environ", {"OPENAI_API_KEY": "mocked_openai_key"})
     @patch("requests.get")
-    @patch("openai.Image.create", return_value={"data": [{"url": "mocked_url"}]})
-    def test_dalle_image_generation(self, mock_openai_create, mock_requests_get):
+    @patch("openai.OpenAI")
+    def test_dalle_image_generation(self, mock_openai, mock_requests_get):
         # Generate a 1x1 white pixel PNG image in memory
-        img = Image.new("RGB", (1, 1), color="white")
+        img = PILImage.new("RGB", (1, 1), color="white")
         img_byte_array = BytesIO()
         img.save(img_byte_array, format="PNG")
         mock_image_content = img_byte_array.getvalue()
@@ -55,6 +68,18 @@ def test_dalle_image_generation(self, mock_openai_create, mock_requests_get):
         mock_response.content = mock_image_content
         mock_requests_get.return_value = mock_response
 
+        # Set up the mock for OpenAI instance
+        mock_openai_instance = mock_openai.return_value
+        mock_openai_instance.images.generate.return_value = ImagesResponse(
+            data=[
+                Image(
+                    b64_json=None,
+                    revised_prompt=None,
+                    url="https://images.openai.com/1234.png",
+                )
+            ]
+        )
+
         function_name = "DallE"
 
         execute_query_fetch_all(self.evadb, f"DROP FUNCTION IF EXISTS {function_name};")
@@ -67,6 +92,6 @@ def test_dalle_image_generation(self, mock_openai_create, mock_requests_get):
         gpt_query = f"SELECT {function_name}(prompt) FROM ImageGen;"
         execute_query_fetch_all(self.evadb, gpt_query)
 
-        mock_openai_create.assert_called_once_with(
+        mock_openai_instance.images.generate.assert_called_once_with(
             prompt="a surreal painting of a cat", n=1, size="1024x1024"
         )

From 8a8fc46fd4056abfc1558af52d5ae6d71fd92eb7 Mon Sep 17 00:00:00 2001
From: Gaurav Tarlok Kakkar <gaurav21776@gmail.com>
Date: Sun, 19 Nov 2023 11:28:37 -0500
Subject: [PATCH 64/64] v0.3.9 - new release (#1367)

---
 evadb/version.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/evadb/version.py b/evadb/version.py
index c6ac2fe6fb..c483bdf47d 100644
--- a/evadb/version.py
+++ b/evadb/version.py
@@ -1,6 +1,6 @@
 _MAJOR = "0"
 _MINOR = "3"
-_REVISION = "9+dev"
+_REVISION = "9"
 
 VERSION_SHORT = f"{_MAJOR}.{_MINOR}"
 VERSION = f"{_MAJOR}.{_MINOR}.{_REVISION}"