recipes-package | recipes: A package for computing and preprocessing design matrices. |
add_role | Manually Add Roles |
add_step | Add a New Step to Current Recipe |
all_nominal | Role Selection |
all_numeric | Role Selection |
all_outcomes | Role Selection |
all_predictors | Role Selection |
bake | Apply a Trained Data Recipe |
bake.recipe | Apply a Trained Data Recipe |
biomass | Biomass Data |
covers | Raw Cover Type Data |
credit_data | Credit Data |
current_info | Role Selection |
denom_vars | Ratio Variable Creation |
discretize | Discretize Numeric Variables |
discretize.default | Discretize Numeric Variables |
discretize.numeric | Discretize Numeric Variables |
has_role | Role Selection |
has_type | Role Selection |
imp_vars | Imputation via Bagged Trees |
juice | Extract Finalized Training Set |
names0 | Sequences of Names with Padded Zeros |
okc | OkCupid Data |
predict.discretize | Discretize Numeric Variables |
prep | Train a Data Recipe |
prep.recipe | Train a Data Recipe |
print.recipe | Print a Recipe |
recipe | Create a Recipe for Preprocessing Data |
recipe.data.frame | Create a Recipe for Preprocessing Data |
recipe.default | Create a Recipe for Preprocessing Data |
recipe.formula | Create a Recipe for Preprocessing Data |
recipe.matrix | Create a Recipe for Preprocessing Data |
recipes | recipes: A package for computing and preprocessing design matrices. |
selections | Methods for Select Variables in Step Functions |
step | A General Step Wrapper |
step_bagimpute | Imputation via Bagged Trees |
step_bin2factor | Create a Factors from A Dummy Variable |
step_BoxCox | Box-Cox Transformation for Non-Negative Data |
step_center | Centering Numeric Data |
step_classdist | Distances to Class Centroids |
step_corr | High Correlation Filter |
step_date | Date Feature Generator |
step_depth | Data Depths |
step_discretize | Discretize Numeric Variables |
step_dummy | Dummy Variables Creation |
step_holiday | Holiday Feature Generator |
step_hyperbolic | Hyperbolic Transformations |
step_ica | ICA Signal Extraction |
step_interact | Create Interaction Variables |
step_intercept | Add intercept (or constant) column |
step_invlogit | Inverse Logit Transformation |
step_isomap | Isomap Embedding |
step_knnimpute | Imputation via K-Nearest Neighbors |
step_kpca | Kernel PCA Signal Extraction |
step_lincomb | Linear Combination Filter |
step_log | Logarithmic Transformation |
step_logit | Logit Transformation |
step_meanimpute | Impute Numeric Data Using the Mean |
step_modeimpute | Impute Nominal Data Using the Most Common Value |
step_ns | Nature Spline Basis Functions |
step_nzv | Near-Zero Variance Filter |
step_ordinalscore | Convert Ordinal Factors to Numeric Scores |
step_other | Collapse Some Categorical Levels |
step_pca | PCA Signal Extraction |
step_poly | Orthogonal Polynomial Basis Functions |
step_range | Scaling Numeric Data to a Specific Range |
step_ratio | Ratio Variable Creation |
step_regex | Create Dummy Variables using Regular Expressions |
step_rm | General Variable Filter |
step_scale | Scaling Numeric Data |
step_shuffle | Shuffle Variables |
step_spatialsign | Spatial Sign Preprocessing |
step_sqrt | Square Root Transformation |
step_window | Moving Window Functions |
step_YeoJohnson | Yeo-Johnson Transformation |
summary.recipe | Summarize a Recipe |
terms_select | Select Terms in a Step Function. |