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fix: extend xlim in plot_ml_vs_dl to prevent clipping of value labels

4744538 9 days ago

__init__.py

87 Bytes
feat: add AURIS training pipeline module for dataset loading and model training about 2 months ago
compute_feature_stats.py

3.21 kB
feat: update excluded columns in feature statistics computation to prevent data leakage about 1 month ago
dataset_loader.py

4.98 kB
feat: add SONICS dataset loader for AURIS training pipeline about 2 months ago
evaluate.py

5.74 kB
Add Gradio dependency to requirements.txt with version constraints about 1 month ago
extract_features_batch.py

10.7 kB
feat: implement resume functionality in batch feature extraction to skip processed samples about 1 month ago
generate_deep_figures.py

17.5 kB
feat: update model parameters for Random Forest, Gradient Boosting, XGBoost, and LightGBM to enhance performance about 1 month ago
generate_figures.py

15.7 kB
feat: update output directory for generated figures to docs/academic/figures about 1 month ago
generate_paper_figures.py

25 kB
fix: extend xlim in plot_ml_vs_dl to prevent clipping of value labels 9 days ago
run_full_pipeline.py

6.47 kB
feat: add full training and evaluation pipeline for AURIS about 2 months ago
train_classifier.py

20.5 kB
feat: define families dictionary for candidate classifiers in _build_candidate_families function 25 days ago
train_deep_classifiers.py

14.8 kB
fix: update evaluation to use optimal threshold and adjust BCEWithLogitsLoss for class imbalance 25 days ago
visualize_results.py

40.6 kB
feat: enhance visualization pipeline with additional figures and manifest support about 1 month ago
wav2vec2_classifier.py

10.8 kB
feat: implement mixed precision training and gradient accumulation in training loop about 1 month ago