Welcome to kuplift’s documentation!¶
Description¶
It’s a User Parameter-free Bayesian Framework for Uplift Modeling.
How to use kuplift ?¶
- Documentation
- kuplift.bayesian_decision_tree module
- kuplift.bayesian_random_forest module
- kuplift.feature_selection module
- kuplift.univariate_encoding module
- kuplift.optimized_univariate_encoding module
IntervalIntervalPartitionOptimizedUnivariateEncodingOptimizedUnivariateEncoding.fit()OptimizedUnivariateEncoding.fit_transform()OptimizedUnivariateEncoding.get_level()OptimizedUnivariateEncoding.get_levels()OptimizedUnivariateEncoding.get_partition()OptimizedUnivariateEncoding.get_target_frequencies()OptimizedUnivariateEncoding.get_target_probabilities()OptimizedUnivariateEncoding.get_uplift()OptimizedUnivariateEncoding.informative_input_variablesOptimizedUnivariateEncoding.input_variablesOptimizedUnivariateEncoding.levelsOptimizedUnivariateEncoding.modelOptimizedUnivariateEncoding.noninformative_input_variablesOptimizedUnivariateEncoding.target_modalitiesOptimizedUnivariateEncoding.target_nameOptimizedUnivariateEncoding.target_treatment_pairsOptimizedUnivariateEncoding.transform()OptimizedUnivariateEncoding.treatment_modalitiesOptimizedUnivariateEncoding.treatment_name
PartitionTargetTreatmentPairValGrpValGrpPartition