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…mework - Introduced main script for running experiments with configurable options. - Added .gitignore to exclude logs and environment files. - Created configuration files for default and quick test setups. - Implemented the Van der Pol dynamics and associated classes for system identification. - Developed training and evaluation utilities for Function Encoder and DPC. - Included visualization functions for plotting results and trajectories. - Established a logging utility for experiment tracking. - Removed legacy mfe_dpc.py file to streamline the codebase.
- Updated default and quick experiment configurations to include diversity regularization options. - Modified training logic in the Function Encoder and Grouped Hierarchical FE to support weighted ridge regression and diversity loss computation. - Added a new function to compute diversity loss, promoting functional distinctness among basis functions. - Adjusted training procedures to conditionally apply diversity penalties based on configuration settings.
…ns and related functions in Function Encoder and Grouped Hierarchical FE. - Introduced a new evaluation function for truncated coefficients, allowing for performance assessment with varying basis counts. - Updated comparison script to include a new variant (GFE) and adjusted output visualizations to reflect a 6-way comparison. - Enhanced logging and plotting capabilities for better analysis of truncation effects on model performance.
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mfe_dpc.py