empulse.models

The models module contains a collection of cost-sensitive and profit-driven models.

Cost-Sensitive and Value-driven Models

B2BoostClassifier	Cost-sensitive gradient boosting classifier for B2B customer churn.
CSBaggingClassifier	Cost-sensitive Bagging classifier.
CSBoostClassifier	Cost-sensitive gradient boosting classifier.
CSForestClassifier	Cost-sensitive random forest classifier.
CSLogitClassifier	Cost-sensitive logistic regression classifier.
CSThresholdClassifier	Binary Classifier that sets the decision threshold to optimize cost-sensitive metric.
CSTreeClassifier	Cost-sensitive decision tree classifier.
RobustCSClassifier	Cost-sensitive classifier that is robust to outliers in the instance-dependent costs.
ProfLogitClassifier	Profit-driven logistic regression classifier.

Bias Mitigation Models

BiasRelabelingClassifier	Classifier which relabels instances during training to remove bias against a subgroup.
BiasResamplingClassifier	Classifier which resamples instances during training to remove bias against a subgroup.
BiasReweighingClassifier	Classifier which reweighs instances during training to remove bias against a subgroup.