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