Check if all Columns are Present
Check for Missing Values
Apply a Trained Data Recipe
Biomass Data
Raw Cover Type Data
Credit Data
Discretize Numeric Variables
Helper Functions for Profile Data Sets
Manually Add Roles
Add a New Operation to the Current Recipe
Create a Formula from a Prepared Recipe
Role Selection
OkCupid Data
Train a Data Recipe
Objects exported from other packages
Methods for Select Variables in Step Functions
Date Feature Generator
step
sets the class of the step`` and
check` is for checks.
Box-Cox Transformation for Non-Negative Data
High Correlation Filter
Create a Factors from A Dummy Variable
B-Spline Basis Functions
Extract Finalized Training Set
Naming Tools
Centering Numeric Data
Distances to Class Centroids
Data Depths
Add intercept (or constant) column
Inverse Logit Transformation
Create Counts of Patterns using Regular Expressions
Logarithmic Transformation
Logit Transformation
Kernel PCA Signal Extraction
Linear Combination Filter
Nature Spline Basis Functions
Dummy Variables Creation
Convert Factors to Strings
Isomap Embedding
Near-Zero Variance Filter
Convert Ordinal Factors to Numeric Scores
General Variable Filter
Imputation via K-Nearest Neighbors
Collapse Some Categorical Levels
PCA Signal Extraction
Tidy the Result of a Recipe
Scaling Numeric Data
Square Root Transformation
Convert Strings to Factors
Convert Numbers to Factors
Scaling Numeric Data to a Specific Range
Ratio Variable Creation
Summarize a Recipe
Select Terms in a Step Function.
Impute Nominal Data Using the Most Common Value
Simple Value Assignments for Novel Factor Levels
Orthogonal Polynomial Basis Functions
Internal Functions
recipes: A package for computing and preprocessing design matrices.
Yeo-Johnson Transformation
Imputation via Bagged Trees
Holiday Feature Generator
Hyperbolic Transformations
Print a Recipe
Create a Recipe for Preprocessing Data
Discretize Numeric Variables
Create a Profiling Version of a Data Set
Impute Numeric Data Below the Threshold of Measurement
Impute Numeric Data Using the Mean
Shuffle Variables
Down-Sample a Data Set Based on a Factor Variable
ICA Signal Extraction
Create Interaction Variables
Spatial Sign Preprocessing
Moving Window Functions
Zero Variance Filter
Create Dummy Variables using Regular Expressions
Apply (Smoothed) Rectified Linear Transformation
Convert Ordered Factors to Unordered Factors
Up-Sample a Data Set Based on a Factor Variable