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| add_woe | Add WoE in a data frame |
| dictionary | Weight of evidence dictionary |
| embed_control | Encoding Factors into Multiple Columns |
| is_tf_available | Test to see if tensorflow is available |
| solubility | Compound solubility data |
| 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_umap | Supervised and unsupervised uniform manifold approximation and projection (UMAP) |
| step_woe | Weight of evidence transformation |
| tidy.recipe | Tidy the Result of a Recipe |
| tidy.step_discretize_cart | Tidy the Result of a Recipe |
| tidy.step_discretize_xgb | Tidy the Result of a Recipe |
| tidy.step_embed | Tidy the Result of a Recipe |
| tidy.step_feature_hash | Tidy the Result of a Recipe |
| tidy.step_lencode_bayes | Tidy the Result of a Recipe |
| tidy.step_lencode_glm | Tidy the Result of a Recipe |
| tidy.step_lencode_mixed | Tidy the Result of a Recipe |
| tidy.step_pca_sparse | Tidy the Result of a Recipe |
| tidy.step_pca_sparse_bayes | Tidy the Result of a Recipe |
| tidy.step_umap | Tidy the Result of a Recipe |
| tidy.step_woe | Tidy the Result of a Recipe |
| woe_table | Crosstable with woe between a binary outcome and a predictor variable. |