a721e52909
- Introduced `poster_model_comparison.py` for generating model comparison figures. - Added `plot_poster_roc_comparison.py` for creating ROC comparison figures for PAPILA binary classification. - Created new JSON configuration files for clinical solo models with and without geometry injection. - Implemented batch dispatch updates in `batch_dispatch.py` to utilize run names from configurations. - Added analysis scripts: `compare_grid.py`, `inspect_embeddings.py`, and `summarize_run.py` for evaluating model performance and feature embeddings. - Created experiment configurations for various training scenarios, including warm sweeps and promoting successful runs. - Added binary ROC comparison and model comparison figures to the results directory.
17 lines
391 B
JSON
17 lines
391 B
JSON
[
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{
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"_note": "Promote grid winner bcd75_cw1_nt25 (3-rep test AUC 0.910) to 10 reps. First 3 reps will be skipped (already on disk).",
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"run_name": "experiments/tri_v1/grid/bcd75_cw1_nt25",
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"reps": 10,
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"overrides": {
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"training": {
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"bcd_prob": 0.75,
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"class_weighted": true
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}
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},
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"stage_overrides": {
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"nt": { "epochs": 25 }
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}
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}
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]
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