Function reference • embed

Embed categorical predictors

step_embed() embed_control(): 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_woe(): Weight of evidence transformation

Collapse categorical predictors

step_collapse_cart(): Supervised Collapsing of Factor Levels

step_collapse_stringdist(): collapse factor levels using stringdist

Embed numeric predictors

step_discretize_cart(): Discretize numeric variables with CART

step_discretize_xgb(): Discretize numeric variables with XgBoost

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)

Datasets

solubility: Compound solubility data

Weight of evidence helpers

add_woe(): Add WoE in a data frame

woe_table(): Crosstable with woe between a binary outcome and a predictor variable.

miscellaneous

dictionary(): Weight of evidence dictionary