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SmartPredict v0.1.1
Overview
This release focuses on improved error handling in the supervised.py and model_registry.py modules.
Key Features
- Enhanced error handling with comprehensive try-except blocks in model training and evaluation
- Improved model name validation to provide helpful error messages
- Better error reporting during model initialization, training, and prediction
- Graceful recovery from failed model training while continuing with other models
- Detailed logging of errors when verbose mode is enabled
Changes
- Added try-except blocks around model initialization, training, and evaluation
- Implemented warning logging for custom metric failures
- Added proper error messages for invalid model names
- Enhanced error handling during prediction phase
- Updated documentation and examples to show proper error handling
Migration Guide
No breaking changes - existing code will continue to work as before, but with better error handling and feedback.
Known Issues
None