Adding new/updated copick_train-model-xgboost-copick_0.0.3

cellcanvas · Oct 22, 2024 · 854be82 · 854be82
1 parent 57b6dad
commit 854be82
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Showing 4 changed files with 10 additions and 7 deletions.
diff --git a/album_catalog_index.db b/album_catalog_index.db
diff --git a/solutions/copick/train-model-xgboost-copick/CHANGELOG.md b/solutions/copick/train-model-xgboost-copick/CHANGELOG.md
@@ -4,6 +4,9 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## [0.0.3] - 2024-10-22
+Reduce logging
+
 ## [0.0.2] - 2024-10-21
 bump
 

diff --git a/solutions/copick/train-model-xgboost-copick/solution.py b/solutions/copick/train-model-xgboost-copick/solution.py
@@ -35,7 +35,7 @@ def run():
     import numcodecs
 
     # Set up logging
-    logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+    logging.basicConfig(level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s')
     logger = logging.getLogger(__name__)
 
     args = get_args()
@@ -264,7 +264,7 @@ def load_features_and_labels_from_copick(root, run_names):
 setup(
     group="copick",
     name="train-model-xgboost-copick",
-    version="0.0.2",
+    version="0.0.3",
     title="Train XGBoost on Copick Data with Cross-Validation",
     description="A solution that processes Copick runs, filters runs with only one label, and trains an XGBoost model with 10-fold cross-validation.",
     solution_creators=["Kyle Harrington"],
@@ -288,7 +288,7 @@ def load_features_and_labels_from_copick(root, run_names):
         {"name": "subsample", "type": "float", "required": False, "description": "Subsample ratio of the training instances.", "default": 1.0},
         {"name": "colsample_bytree", "type": "float", "required": False, "description": "Subsample ratio of columns when constructing each tree.", "default": 1.0},
         {"name": "reg_lambda", "type": "float", "required": False, "description": "L2 regularization term on weights.", "default": 1.0},
-        {"name": "reg_alpha", "type": "float", "required": False, "description": "L1 regularization term on weights.", "default": 0.0},
+        {"name": "reg_alpha", "type": "float", "required": False, "description": "L1 regularization term on wights.", "default": 0.0},
         {"name": "max_bin", "type": "integer", "required": False, "description": "Maximum number of discrete bins to bucket continuous features.", "default": 256},
         {"name": "class_weights", "type": "string", "required": False, "description": "Class weights for the XGBoost model as a comma-separated list.", "default": ""},
         {"name": "output_model_path", "type": "string", "required": True, "description": "Path for the output joblib file containing the trained XGBoost model."}

diff --git a/solutions/copick/train-model-xgboost-copick/solution.yml b/solutions/copick/train-model-xgboost-copick/solution.yml
@@ -77,7 +77,7 @@ args:
   required: false
   type: float
 - default: 0.0
-  description: L1 regularization term on weights.
+  description: L1 regularization term on wights.
   name: reg_alpha
   required: false
   type: float
@@ -95,7 +95,7 @@ args:
   name: output_model_path
   required: true
   type: string
-changelog: bump
+changelog: Reduce logging
 description: A solution that processes Copick runs, filters runs with only one label,
   and trains an XGBoost model with 10-fold cross-validation.
 group: copick
@@ -110,6 +110,6 @@ tags:
 - training
 - cross-validation
 - copick
-timestamp: '2024-10-21T21:10:14.118981'
+timestamp: '2024-10-22T13:08:01.051768'
 title: Train XGBoost on Copick Data with Cross-Validation
-version: 0.0.2
+version: 0.0.3