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- Introduced a new thickness data file `widthsH60_B34.txt` for hysteretic curves. - Updated the path for thickness data in `hysteretic_curves.py` to include the base and width parameters. - Modified the loop structure in `hysteretic_curves.py` to ensure thickness data aligns with case folders. - Enhanced the prediction script `predict_hysteretic_curves.py` with cross-validation strategies and improved training logic. - Implemented Leave-One-Out and K-Fold cross-validation based on the number of training cases. - Adjusted model training to handle full training pool without validation and added detailed logging for trials. - Improved memory management and error handling during training and validation processes.
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