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Merge pull request recommenders-team#1995 from recommenders-team/bug/…
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…new_tests

BUG in new tests
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miguelgfierro authored Sep 22, 2023
2 parents 399f1c5 + 817d288 commit 6a2b0a3
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5 changes: 0 additions & 5 deletions CONTRIBUTING.md
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Expand Up @@ -68,8 +68,3 @@ Try to be empathic.

</details>

## Microsoft Contributor License Agreement

Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.

When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
2 changes: 1 addition & 1 deletion README.md
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## What's New (August, 2023)

We moved to a new organization! Now to access the repo, instead of going to https://github.com/microsoft/recommenders, you need to go to https://github.com/recommenders-team/recommenders. The old URL will still resolve to the new one, but we recommend you to update your bookmarks.
We moved to a new organization! Now to access the repo, instead of going to https://github.com/microsoft/recommenders, you need to go to https://github.com/recommenders-team/recommenders. The old URL will still resolve to the new one, but we recommend that you update your bookmarks.

Starting with release 0.6.0, Recommenders has been available on PyPI and can be installed using pip!

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35 changes: 0 additions & 35 deletions SECURITY.md

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{
"cell_type": "markdown",
"source": [
"Hyperparameter tuning for Spark based recommender algorithm is important to select a model with the optimal performance. This notebook introduces good practices in performing hyperparameter tuning for building recommender models with the utility functions provided in the [Microsoft/Recommenders](https://github.com/Microsoft/Recommenders.git) repository.\n",
"Hyperparameter tuning for Spark based recommender algorithm is important to select a model with the optimal performance. This notebook introduces good practices in performing hyperparameter tuning for building recommender models with the utility functions provided in the [Microsoft/Recommenders](https://github.com/recommenders-team/recommenders.git) repository.\n",
"\n",
"Three different approaches are introduced and comparatively studied.\n",
"* Spark native/custom constructs (`ParamGridBuilder`, `TrainValidationSplit`).\n",
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6 changes: 3 additions & 3 deletions setup.py
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extras_require = {
"gpu": [
"nvidia-ml-py3>=7.352.0",
# TensorFlow compiled with CUDA 11.2, cudnn 8.1
# TensorFlow compiled with CUDA 11.2, CuDNN 8.1
"tensorflow~=2.6.1;python_version=='3.6'",
"tensorflow~=2.7.0;python_version>='3.7'",
"tf-slim>=1.1.0",
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url="https://github.com/recommenders-team/recommenders",
project_urls={
"Documentation": "https://microsoft-recommenders.readthedocs.io/en/stable/",
"Wiki": "https://github.com/microsoft/recommenders/wiki",
"Wiki": "https://github.com/recommenders-team/recommenders/wiki",
},
author="RecoDev Team at Microsoft",
author="Recommenders contributors",
author_email="[email protected]",
classifiers=[
"Development Status :: 5 - Production/Stable",
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2 changes: 1 addition & 1 deletion tests/ci/azureml_tests/submit_groupwise_azureml_pytest.py
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Expand Up @@ -209,7 +209,7 @@ def create_run_config(
reco_extras = reco_extras + ",spark"

conda_dep.add_pip_package(
f"recommenders[{reco_extras}]@git+https://github.com/microsoft/recommenders.git@{commit_sha}"
f"recommenders[{reco_extras}]@git+https://github.com/recommenders-team/recommenders.git@{commit_sha}"
)

run_azuremlcompute.environment.python.conda_dependencies = conda_dep
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8 changes: 4 additions & 4 deletions tests/ci/azureml_tests/test_groups.py
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Expand Up @@ -51,9 +51,9 @@
"tests/functional/examples/test_notebooks_python.py::test_lightfm_functional",
],
"group_cpu_003": [ # Total group time: 2253s
"tests/data_validation/recommenders/dataset/test_criteo.py::test_download_criteo_sample", # 1.05s
"tests/data_validation/recommenders/dataset/test_criteo.py::test_extract_criteo_sample", # 1.22s
"tests/data_validation/recommenders/dataset/test_criteo.py::test_criteo_load_pandas_df_sample", # 1.73s
"tests/data_validation/recommenders/datasets/test_criteo.py::test_download_criteo_sample", # 1.05s
"tests/data_validation/recommenders/datasets/test_criteo.py::test_extract_criteo_sample", # 1.22s
"tests/data_validation/recommenders/datasets/test_criteo.py::test_criteo_load_pandas_df_sample", # 1.73s
"tests/data_validation/recommenders/datasets/test_criteo.py::test_criteo_load_pandas_df_full", # 1368.63s
#
"tests/smoke/examples/test_notebooks_python.py::test_sar_single_node_smoke", # 12.58s
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"group_spark_001": [ # Total group time: 987.16s
"tests/data_validation/recommenders/datasets/test_movielens.py::test_load_spark_df", # 4.33s+ 25.58s + 101.99s + 139.23s
#
"tests/data_validation/recommenders/dataset/test_criteo.py::test_criteo_load_spark_df_sample", # 6.83s
"tests/data_validation/recommenders/datasets/test_criteo.py::test_criteo_load_spark_df_sample", # 6.83s
"tests/data_validation/recommenders/datasets/test_criteo.py::test_criteo_load_spark_df_full", # 374.64s
#
"tests/smoke/examples/test_notebooks_pyspark.py::test_mmlspark_lightgbm_criteo_smoke", # 32.45s
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1 change: 1 addition & 0 deletions tests/data_validation/__init__.py
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# Needed to execute the AzureML tests
1 change: 1 addition & 0 deletions tests/data_validation/examples/__init__.py
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# Needed to execute the AzureML tests
1 change: 1 addition & 0 deletions tests/data_validation/recommenders/__init__.py
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# Needed to execute the AzureML tests
1 change: 1 addition & 0 deletions tests/data_validation/recommenders/datasets/__init__.py
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# Needed to execute the AzureML tests
4 changes: 3 additions & 1 deletion tests/functional/examples/test_notebooks_python.py
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Expand Up @@ -214,7 +214,7 @@ def test_cornac_bpr_functional(
[
(
"100k",
10,
3,
dict(
eval_precision=0.131601,
eval_recall=0.038056,
Expand All @@ -224,6 +224,7 @@ def test_cornac_bpr_functional(
),
],
)
@pytest.mark.skip(reason="LightFM notebook takes too long to run. Review issue #1707")
def test_lightfm_functional(
notebooks, output_notebook, kernel_name, size, epochs, expected_values
):
Expand Down Expand Up @@ -261,6 +262,7 @@ def test_geoimc_functional(notebooks, output_notebook, kernel_name, expected_val

@pytest.mark.notebooks
@pytest.mark.experimental
@pytest.mark.skip(reason="xLearn pip package has installation incompatibilities")
def test_xlearn_fm_functional(notebooks, output_notebook, kernel_name):
notebook_path = notebooks["xlearn_fm_deep_dive"]
pm.execute_notebook(
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1 change: 1 addition & 0 deletions tests/integration/__init__.py
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# Needed to execute the AzureML tests
1 change: 1 addition & 0 deletions tests/integration/recommenders/__init__.py
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# Needed to execute the AzureML tests
1 change: 1 addition & 0 deletions tests/integration/recommenders/utils/__init__.py
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# Needed to execute the AzureML tests
1 change: 1 addition & 0 deletions tests/performance/__init__.py
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# Needed to execute the AzureML tests
1 change: 1 addition & 0 deletions tests/performance/recommenders/__init__.py
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# Needed to execute the AzureML tests
1 change: 1 addition & 0 deletions tests/performance/recommenders/evaluation/__init__.py
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# Needed to execute the AzureML tests
1 change: 1 addition & 0 deletions tests/regression/__init__.py
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# Needed to execute the AzureML tests
1 change: 1 addition & 0 deletions tests/responsible_ai/__init__.py
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# Needed to execute the AzureML tests
1 change: 1 addition & 0 deletions tests/responsible_ai/recommenders/__init__.py
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# Needed to execute the AzureML tests
1 change: 1 addition & 0 deletions tests/responsible_ai/recommenders/datasets/__init__.py
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# Needed to execute the AzureML tests
1 change: 1 addition & 0 deletions tests/security/__init__.py
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# Needed to execute the AzureML tests
2 changes: 1 addition & 1 deletion tools/docker/README.md
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Expand Up @@ -86,7 +86,7 @@ docker run -it recommenders:cpu bash -c 'pip install pytest; \
pip install pytest-cov; \
pip install pytest-mock; \
apt-get install -y git; \
git clone https://github.com/microsoft/recommenders.git; \
git clone https://github.com/recommenders-team/recommenders.git; \
cd recommenders; \
pytest tests/unit -m "not spark and not gpu and not notebooks and not experimental"'
```

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