0.5.0
- Added supported for python 3.13
- Added cost-sensitive models
- CSLogitClassifier
- CSBoostClassifier
- RobustCSClassifier
- CSThresholdClassifier
- Added cost-sensitive metrics
- cost_loss
- expected_cost_loss
- expected_log_cost_loss
- savings_score
- expected_savings_score
- Added cost-sensitive sampler
- CostSensitiveSampler
- Added datasets module
- rename metric arguments which expect target score from y_pred to y_score and
target probabilities from y_pred to y_proba. - Allow all cost-sensitive models and samplers to accept cost parameters during initialization
Full Changelog: 0.4.6...0.5.0