- Added a section to display test metrics for model performance on the held-out test set. - Implemented confusion matrix visualization to analyze prediction breakdown. - Refactored sidebar settings to streamline metric selection and improve user experience. - Updated cross-validation statistics to compare CV performance with test metrics. - Enhanced DatasetEnsemble methods to handle empty data scenarios gracefully. - Introduced debug scripts to assist in identifying feature mismatches and validating dataset preparation. - Added comprehensive tests for DatasetEnsemble to ensure feature consistency and correct behavior across various scenarios. |
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|---|---|---|
| .. | ||
| 00grids.sh | ||
| 01darts.sh | ||
| 02alphaearth.sh | ||
| 03era5.sh | ||
| 04arcticdem.sh | ||
| 05train.sh | ||
| fix_xgboost_importance.py | ||
| recalculate_test_metrics.py | ||
| rechunk_zarr.py | ||
| rerun_missing_inference.py | ||