add_woe                 Add WoE in a data frame
dictionary              Weight of evidence dictionary
solubility              Compound solubility data
step_collapse_cart      Supervised Collapsing of Factor Levels
step_collapse_stringdist
                        collapse factor levels using stringdist
step_discretize_cart    Discretize numeric variables with CART
step_discretize_xgb     Discretize numeric variables with XgBoost
step_embed              Encoding Factors into Multiple Columns
step_feature_hash       Dummy Variables Creation via Feature Hashing
step_lencode_bayes      Supervised Factor Conversions into Linear
                        Functions using Bayesian Likelihood Encodings
step_lencode_glm        Supervised Factor Conversions into Linear
                        Functions using Likelihood Encodings
step_lencode_mixed      Supervised Factor Conversions into Linear
                        Functions using Bayesian Likelihood Encodings
step_pca_sparse         Sparse PCA Signal Extraction
step_pca_sparse_bayes   Sparse Bayesian PCA Signal Extraction
step_pca_truncated      Truncated PCA Signal Extraction
step_umap               Supervised and unsupervised uniform manifold
                        approximation and projection (UMAP)
step_woe                Weight of evidence transformation
woe_table               Crosstable with woe between a binary outcome
                        and a predictor variable.
