Helpers for steps with case weights
Check if all Columns are Present
Check Variable Class
Check for Missing Values
Apply a trained preprocessing recipe
check that newly created variable names don't overlap
Helper Functions for Profile Data Sets
Helpers for printing step functions
Check to see if a recipe is trained/prepared
Create a Formula from a Prepared Recipe
Check Range Consistency
Get the keep_original_cols
value of a recipe step
Get types for use in recipes
Check for New Values
Check for required column at bake-time
Wrapper function for preparing recipes within resampling
Quantitatively check on variables
Detect if a particular step or check is used in a recipe
Extract transformed training set
Print a Recipe
Role Selection
Internal Functions
Naming Tools
Discretize Numeric Variables
S3 methods for tracking which additional packages are needed for steps.
Create a recipe for preprocessing data
Manually Alter Roles
recipes: A package for computing and preprocessing design matrices.
Make a random identification field for steps
Evaluate a selection with tidyselect semantics specific to recipes
Checks that steps have all S3 methods
Box-Cox Transformation for Non-Negative Data
Yeo-Johnson Transformation
Methods for selecting variables in step functions
Estimate a preprocessing recipe
Update packages
B-Spline Basis Functions
Objects exported from other packages
Cut a numeric variable into a factor
Create Counts of Patterns using Regular Expressions
Create a Factors from A Dummy Variable
Sort rows using dplyr
step
sets the class of the step
and check
is for checks.
Date Feature Generator
Distances to Class Centroids
Data Depths
Centering numeric data
High Correlation Filter
Add sin and cos terms for harmonic analysis
Discretize Numeric Variables
Extract patterns from nominal data
Handle levels in multiple predictors together
Missing Value Column Filter
Holiday Feature Generator
Create traditional dummy variables
Impute nominal data using the most common value
Filter rows using dplyr
Impute numeric variables via a linear model
Convert Factors to Strings
Impute numeric data below the threshold of measurement
Hyperbolic Transformations
Impute numeric data using a rolling window statistic
Impute via k-nearest neighbors
Impute via bagged trees
Distance between two locations
Impute numeric data using the mean
Impute numeric data using the median
Create Missing Data Column Indicators
Add intercept (or constant) column
Create Interaction Variables
Isomap Embedding
Inverse Logit Transformation
Inverse Transformation
ICA Signal Extraction
Kernel PCA Signal Extraction
Non-Negative Matrix Factorization Signal Extraction with lasso Penalization
Convert values to predefined integers
Logit Transformation
Logarithmic Transformation
Polynomial Kernel PCA Signal Extraction
Create a lagged predictor
Radial Basis Function Kernel PCA Signal Extraction
Center and scale numeric data
Mutate multiple columns using dplyr
Add new variables using dplyr
Remove observations with missing values
Collapse Some Categorical Levels
Convert Ordinal Factors to Numeric Scores
Partial Least Squares Feature Extraction
Non-Negative Matrix Factorization Signal Extraction
Natural Spline Basis Functions
Simple Value Assignments for Novel Factor Levels
Near-Zero Variance Filter
Convert Numbers to Factors
Rename variables by name using dplyr
Apply (Smoothed) Rectified Linear Transformation
Detect a regular expression
Linear Combination Filter
PCA Signal Extraction
Percentile Transformation
Orthogonal Polynomial Basis Functions
Relevel factors to a desired level
Ratio Variable Creation
Scaling Numeric Data to a Specific Range
Select variables using dplyr
Shuffle Variables
Rename multiple columns using dplyr
Sample rows using dplyr
General Variable Filter
Scaling Numeric Data
Basis Splines
Create a Profiling Version of a Data Set
Generalized Bernstein Polynomial Basis
Convex Splines
Monotone Splines
Spatial Sign Preprocessing
Natural Splines
Summarize a recipe
Moving Window Functions
Select Terms in a Step Function.
Non-Negative Splines
Square Root Transformation
Time Feature Generator
Update role specific requirements
Filter rows by position using dplyr
Convert Strings to Factors
Assign missing categories to "unknown"
Update a recipe step
Tidy the Result of a Recipe
Convert Ordered Factors to Unordered Factors
Zero Variance Filter
Add a New Operation to the Current Recipe
Using case weights with recipes