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