Improve Compatibility and Consistency for macOS (Apple Silicon) #18
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- Added comprehensive rules for macOS-generated files and directories: - .DS_Store, .AppleDouble, .Spotlight-V100, .Trashes, etc. - Included iCloud-related files (*.icloud). - Ensured better compatibility and cleanliness when using macOS environments.
- Renamed the conda environment from `download_file` to `train_val_test_split` in `conda.yml`. - Ensures alignment between the environment name and the corresponding component.
- Renamed the project name in `MLproject` from `download_file` to `train_val_test_split`. - Ensures consistency with the component's purpose and conda environment name.
- Updated `conda.yml` for the `test_regression_model` component to address compatibility issues: - Upgraded `scikit-learn` to 1.5.2 to match the version used during model saving. - Updated `mlflow` to 2.18.0 for improved support. - This fixes the `TypeError: ColSpec.__init__() got an unexpected keyword argument 'required'` error encountered during model loading.
ruddyscent
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This PR introduces several improvements to enhance compatibility with macOS, particularly on Apple Silicon devices. It also addresses component naming consistency and resolves critical dependency issues.
macOS-Specific Updates:
.DS_StoreFiles:.DS_Storefiles from the repository to maintain a cleaner codebase..DS_Store,.AppleDouble,.Spotlight-V100,.Trashes,*.icloud.Component Improvements:
conda.ymlfromdownload_filetotrain_val_test_splitfor clarity and alignment with the component’s purpose.MLprojecttotrain_val_test_splitto reflect the updated naming convention.