Add a New Operation to the Current Recipe
check that newly created variable names don't overlap
Check that options argument contain the right elements
Detect if a particular step or check is used in a recipe
Developer functions for creating recipes steps
Check to see if a recipe is trained/prepared
Get the 'keep_original_cols' value of a recipe step
Wrapper function for preparing recipes within resampling
Make a random identification field for steps
recipes: A package for computing and preprocessing design matrices.
Evaluate a selection with tidyselect semantics for arguments
Evaluate a selection with tidyselect semantics specific to recipes
Removes original columns if options apply
S3 methods for tracking which additional packages are needed for steps.
Methods for selecting variables in step functions
'step()' sets the class of the 'step' and 'check()' is for checks.
Box-Cox transformation for non-negative data
Compute shrunken centroid distances for classification models
Create counts of patterns using regular expressions
Handle levels in multiple predictors together
Add sin and cos terms for harmonic analysis
Impute numeric variables via a linear model
Impute numeric data below the threshold of measurement
Impute nominal data using the most common value
Impute numeric data using a rolling window statistic
Radial basis function kernel PCA signal extraction
Non-negative matrix factorization signal extraction
Non-negative matrix factorization signal extraction with lasso penalization
Simple value assignments for novel factor levels
Convert ordinal factors to numeric scores
Partial least squares feature extraction
Create a profiling version of a data set
Scaling numeric data to a specific range
Apply (smoothed) rectified linear transformation
Convert ordered factors to unordered factors