feat: enhance training workflow with model metadata loading and refactor data handling
- Introduced a new activity to load model metadata from the model store. - Refactored training logic to utilize new model metadata and improved parameter handling. - Updated the `TrainModelParams` class to include additional fields for model configuration. - Replaced deprecated utility functions with a custom train-test split implementation. - Removed unused utility functions and cleaned up the data manager repository. - Adjusted experiment tracking to include model-specific metadata in notifications.
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@@ -3,7 +3,7 @@ psycopg2-binary==2.9.11
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sqlalchemy==2.0.44
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boto3==1.40.55
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botocore==1.40.55
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git+ssh://git@github.com/Aignosi/sientia-model-library.git@0.7.2
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/home/grezewave/Documents/projects/sientia/sientia-model-library
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git+https://github.com/Aignosi/sientia-dataops-library.git@v1.10.1
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prometheus-client==0.23.1
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beautifulsoup4==4.12.3
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