All functions

add_woe()

Add WoE in a data frame

dictionary()

Weight of evidence dictionary

step_discretize_cart() tidy(<step_discretize_cart>)

Discretize numeric variables with CART

step_discretize_xgb() tidy(<step_discretize_xgb>)

Discretize numeric variables with XgBoost

step_embed() tidy(<step_embed>) embed_control()

Encoding Factors into Multiple Columns

step_feature_hash() tidy(<step_feature_hash>)

Dummy Variables Creation via Feature Hashing

step_lencode_bayes() tidy(<step_lencode_bayes>)

Supervised Factor Conversions into Linear Functions using Bayesian Likelihood Encodings

step_lencode_glm() tidy(<step_lencode_glm>)

Supervised Factor Conversions into Linear Functions using Likelihood Encodings

step_lencode_mixed() tidy(<step_lencode_mixed>)

Supervised Factor Conversions into Linear Functions using Bayesian Likelihood Encodings

step_umap() tidy(<step_umap>)

Supervised and unsupervised uniform manifold approximation and projection (UMAP)

step_woe() tidy(<step_woe>)

Weight of evidence transformation

woe_table()

Crosstable with woe between a binary outcome and a predictor variable.