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install.packages('recipes')
Monthly Downloads
148,540
Version
0.1.0
License
GPL-2
Issues
60
Pull Requests
1
Stars
353
Forks
88
Repository
https://github.com/topepo/recipes
Maintainer
Max Kuhn
Last Published
July 27th, 2017
Functions in recipes (0.1.0)
Search functions
juice
Extract Finalized Training Set
names0
Sequences of Names with Padded Zeros
add_role
Manually Add Roles
add_step
Add a New Step to Current Recipe
discretize
Discretize Numeric Variables
has_role
Role Selection
bake
Apply a Trained Data Recipe
biomass
Biomass Data
covers
Raw Cover Type Data
credit_data
Credit Data
print.recipe
Print a Recipe
recipe
Create a Recipe for Preprocessing Data
step
A General Step Wrapper
step_BoxCox
Box-Cox Transformation for Non-Negative Data
step_dummy
Dummy Variables Creation
step_classdist
Distances to Class Centroids
step_corr
High Correlation Filter
step_lincomb
Linear Combination Filter
step_log
Logarithmic Transformation
step_logit
Logit Transformation
step_meanimpute
Impute Numeric Data Using the Mean
step_rm
General Variable Filter
step_scale
Scaling Numeric Data
reexports
Objects exported from other packages
selections
Methods for Select Variables in Step Functions
step_bin2factor
Create a Factors from A Dummy Variable
step_center
Centering Numeric Data
step_isomap
Isomap Embedding
step_nzv
Near-Zero Variance Filter
step_holiday
Holiday Feature Generator
step_knnimpute
Imputation via K-Nearest Neighbors
step_kpca
Kernel PCA Signal Extraction
step_other
Collapse Some Categorical Levels
step_invlogit
Inverse Logit Transformation
step_ordinalscore
Convert Ordinal Factors to Numeric Scores
step_ratio
Ratio Variable Creation
step_regex
Create Dummy Variables using Regular Expressions
yj_trans
Internal Functions
recipes
recipes: A package for computing and preprocessing design matrices.
step_date
Date Feature Generator
okc
OkCupid Data
prep
Train a Data Recipe
step_YeoJohnson
Yeo-Johnson Transformation
step_depth
Data Depths
step_hyperbolic
Hyperbolic Transformations
step_ica
ICA Signal Extraction
step_poly
Orthogonal Polynomial Basis Functions
step_range
Scaling Numeric Data to a Specific Range
step_sqrt
Square Root Transformation
step_window
Moving Window Functions
step_bagimpute
Imputation via Bagged Trees
step_interact
Create Interaction Variables
step_intercept
Add intercept (or constant) column
step_modeimpute
Impute Nominal Data Using the Most Common Value
step_pca
PCA Signal Extraction
summary.recipe
Summarize a Recipe
terms_select
Select Terms in a Step Function.
step_ns
Nature Spline Basis Functions
step_shuffle
Shuffle Variables
step_spatialsign
Spatial Sign Preprocessing