Detect if a particular step or check is used in a recipe
check that newly created variable names don't overlap
Check Range Consistency
Apply a Trained Data Recipe
Check Variable Class
Check for New Values
Check for Missing Values
Check if all Columns are Present
Quantitatively check on variables
Add a New Operation to the Current Recipe
Extract Finalized Training Set
Naming Tools
Helpers for printing step functions
Internal Functions
Create a Formula from a Prepared Recipe
recipes: A package for computing and preprocessing design matrices.
Role Selection
Box-Cox Transformation for Non-Negative Data
Update packages
Check to see if a recipe is trained/prepared
Convert Factors to Strings
Dummy Variables Creation
Yeo-Johnson Transformation
Discretize Numeric Variables
Filter rows using dplyr
Train a Data Recipe
High Correlation Filter
Create a Recipe for Preprocessing Data
Wrapper function for preparing recipes within resampling
Methods for Select Variables in Step Functions
Hyperbolic Transformations
step
sets the class of the step
and check
is for checks.
Sort rows using dplyr
Kernel PCA Signal Extraction
Inverse Logit Transformation
Helper Functions for Profile Data Sets
Impute Numeric Data Using the Median
Polynomial Kernel PCA Signal Extraction
Impute Numeric Data Using the Mean
Print a Recipe
Objects exported from other packages
B-Spline Basis Functions
Create Counts of Patterns using Regular Expressions
Convert Ordinal Factors to Numeric Scores
Make a random identification field for steps
Imputation via K-Nearest Neighbors
NNMF Signal Extraction
Data Depths
Create a lagged predictor
Isomap Embedding
Date Feature Generator
Radial Basis Function Kernel PCA Signal Extraction
Imputation via Bagged Trees
Create Interaction Variables
Create a Factors from A Dummy Variable
Linear Combination Filter
Impute Numeric Data Below the Threshold of Measurement
Create a Profiling Version of a Data Set
tunable methods for recipes
Near-Zero Variance Filter
Convert values to predefined integers
Holiday Feature Generator
Logit Transformation
Rename multiple columns
ICA Signal Extraction
Collapse Some Categorical Levels
Convert Numbers to Factors
General Variable Filter
Distances to Class Centroids
Update a recipe step
Orthogonal Polynomial Basis Functions
Centering numeric data
Manually Alter Roles
Square Root Transformation
Discretize Numeric Variables
Add intercept (or constant) column
Mutate multiple columns
Center and scale numeric data
PCA Signal Extraction
Down-Sample a Data Set Based on a Factor Variable
Create Dummy Variables using Regular Expressions
Partial Least Squares Feature Extraction
Logarithmic Transformation
Scaling Numeric Data
Distance between two locations
Add new variables using mutate
Inverse Transformation
Sample rows using dplyr
Shuffle Variables
Impute Nominal Data Using the Most Common Value
Scaling Numeric Data to a Specific Range
Summarize a Recipe
Zero Variance Filter
Ratio Variable Creation
Simple Value Assignments for Novel Factor Levels
Nature Spline Basis Functions
Rename variables by name
Convert Strings to Factors
Select Terms in a Step Function.
Tidy the Result of a Recipe
Remove observations with missing values
Relevel factors to a desired level
Impute Numeric Data Using a Rolling Window Statistic
Filter rows by position using dplyr
Moving Window Functions
Up-Sample a Data Set Based on a Factor Variable
Spatial Sign Preprocessing
Apply (Smoothed) Rectified Linear Transformation
Convert Ordered Factors to Unordered Factors
Assign missing categories to "unknown"