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recipes (version 0.1.2)

Preprocessing Tools to Create Design Matrices

Description

An extensible framework to create and preprocess design matrices. Recipes consist of one or more data manipulation and analysis "steps". Statistical parameters for the steps can be estimated from an initial data set and then applied to other data sets. The resulting design matrices can then be used as inputs into statistical or machine learning models.

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Install

install.packages('recipes')

Monthly Downloads

158,337

Version

0.1.2

License

GPL-2

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Repository

https://github.com/topepo/recipes

Maintainer

Max Kuhn

Last Published

January 11th, 2018

Functions in recipes (0.1.2)

Check if all Columns are Present

Check for Missing Values

Apply a Trained Data Recipe

Raw Cover Type 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

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`` andcheck` is for checks.

Box-Cox Transformation for Non-Negative Data

High Correlation Filter

step_bin2factor

Create a Factors from A Dummy Variable

B-Spline Basis Functions

Extract Finalized Training Set

Centering Numeric Data

Distances to Class Centroids

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

step_factor2string

Convert Factors to Strings

Isomap Embedding

Near-Zero Variance Filter

step_ordinalscore

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

step_string2factor

Convert Strings to Factors

step_num2factor

Convert Numbers to Factors

Scaling Numeric Data to a Specific Range

Ratio Variable Creation

Summarize a Recipe

Select Terms in a Step Function.

step_modeimpute

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.

step_YeoJohnson

Yeo-Johnson Transformation

Imputation via Bagged Trees

Holiday Feature Generator

step_hyperbolic

Hyperbolic Transformations

Create a Recipe for Preprocessing Data

step_discretize

Discretize Numeric Variables

Create a Profiling Version of a Data Set

step_lowerimpute

Impute Numeric Data Below the Threshold of Measurement

step_meanimpute

Impute Numeric Data Using the Mean

Shuffle Variables

step_downsample

Down-Sample a Data Set Based on a Factor Variable

ICA Signal Extraction

Create Interaction Variables

step_spatialsign

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