run_netmhcpan_script added #1
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…ectly onto the disk in a csv file
…ectly onto the disk in a csv file
…ectly onto the disk in a csv file
…e dataset handling
…e training configuration
…utoEncoder, enhance training metrics and codebook usage tracking
…g configuration, and add UMAP visualization for quantized latent space
…ove codebook initialization, and adjust training parameters
Improved the SCQ layer with added support for resetting unused codebook vectors, better error handling, and parameter clarity. Updated training script with changes to batch size handling, latent space extraction, and added detailed visualization methods for cluster and codebook distributions. The changes improve model functionality, usability, and performance monitoring.
- Introduced BinaryMLP, TabularTransformer, and EmbeddingCNN models for diverse classification tasks. - Modified run_pMHC_DL.py to support new model types and attention-based features. - Added functionality to process and save quantized outputs with detailed logging.
…, streamline binding label addition, and enhance dataset preparation for NetMHCpan
…Block: streamline model architecture, enhance clustering handling, and implement a new classifier structure
… k-fold cross-validation, improve data loading with consistent sequence lengths, and add evaluation metrics visualization for test datasets
…s for clarity, adjust attention mask dimensions, and modify dropout rate for improved performance
…ng functions and adjust output directory type hint
…ional embedding handling, and improve attention mechanisms
…ndling, add prediction probability distribution, and refine training curve plots
…mma in test2_results evaluation
…sampling augmentation
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