- Updated bootstrapper - `evaluate_bootstrap_metrics` - Added `notebooks/xgb_early_bootstrap_test.py` to test it - Updated `requirements.txt` file for dev testing - Fixed sampling error on low number of samples inside bootstrapper
0.0.12a
- `Xgboost` bug fixes - Zenodo updates - Pickle model fixes with `np` import - `ADASYN` and `SMOTE` fix with no fit happening when calibrating
0.0.11a
- updated readme for `PyPI` - previous version not saved on setup; re-release to 0.0.11a
0.0.10a
- updated readme for `PyPI`
0.0.09a
- number of estimators now extracted from `XGBoost` model object - early stopping fixed
0.0.08a
AutoKerasClassifier` - Changed 'layers' key to store count instead of list to avoid exceeding MLflow's 500-char limit. - Simplified function by removing key filtering loop.