Model Tuner 0.0.26b
Model Tuner Version 0.0.26b Changelog
Release Notes Summary
- Optimal threshold: Users can now specify target precision or recall and an optimal threshold is computed for that
- Finalised testing: coverage is now at 86% total
- New
get_feature_names()helper function for extracting features n_estimatorscalculation for boosting algorithms is now fixed
What's Changed
- Fix: AttributeError in
get_feature_selection_pipelinewith RFE andcalibrate=Trueby @lshpaner in #144 - Fix: Incorrect Iteration Over
scoreString incalibrateModelby @lshpaner in #146 - Add Printout of Rebalanced Classes in KFold Outputs by @lshpaner in #148
- Fix Inaccurate Confusion Matrix Counts Across Folds by @lshpaner in #150
- Pp tests ii by @panas89 in #153
- AF Tests by @elemets in #154
- GroupKFold by @elemets in #155
- added new logic for calc. fold metrics in report_model_metrics by @lshpaner in #156
- Pp tests iii by @panas89 in #159
- Account for Threshold Tuning in K-Fold Classification and Metrics Reporting by @lshpaner in #162
- Updated
return_dictlogic inreturn_metricsby @lshpaner in #165 - updated dict logic in
return_metricsby @lshpaner in #168 - Pp tests iv by @panas89 in #167
- Modified
aggregated_y_predtoaggregated_y_probinsidebrier_score_lossby @lshpaner in #164 - updated bin class. test; (+) multilabel test by @lshpaner in #169
- AF tests IV by @elemets in #170
- updated threshold print logic by @lshpaner in #172
- added unittest for catboost_n_iterations, upd. (+1) inside model_tuner… by @lshpaner in #175
- Tests for feature selection pipeline by @elemets in #177
- Pp tests v by @panas89 in #176
- added shap script by @lshpaner in #178
- Calibrate report remove by @elemets in #179
- Adding tests for early stopping fit with and without a score by @elemets in #180
- Calculate Metrics by @elemets in #181
- Move logo to different script; streamlined by @lshpaner in #182
- added new method and script for threshold optimization by @lshpaner in #184
- get_feature_names by @elemets in #185
Full Changelog: 0.0.24a...0.0.26b