Add custom FSA multiclass implementation with enhanced features#19
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hincaltopcuoglu wants to merge 1 commit intobarbua:masterfrom
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Add custom FSA multiclass implementation with enhanced features#19hincaltopcuoglu wants to merge 1 commit intobarbua:masterfrom
hincaltopcuoglu wants to merge 1 commit intobarbua:masterfrom
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- Add fsa_custom.py: Enhanced FSA implementation with full multiclass support - Add demo_custom.py: Demo script for binary and multiclass classification - Add README_CUSTOM.md: Documentation for custom implementation Features: - Full multiclass classification support using cross-entropy loss - GPU acceleration with CUDA - Gradient clipping for stability - Improved annealing schedule - Flexible interface for NumPy/PyTorch/Pandas inputs
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This PR adds a custom FSA (Feature Selection with Annealing) implementation with enhanced multiclass support.
Changes
Features
Testing
Includes demo script with synthetic datasets demonstrating both binary and multiclass classification scenarios.