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embed (version 0.0.2)

Extra Recipes for Encoding Categorical Predictors

Description

Factor predictors can be converted to one or more numeric representations using simple generalized linear models or nonlinear models . All encoding methods are supervised.

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Version

Install

install.packages('embed')

Monthly Downloads

1,183

Version

0.0.2

License

GPL-2

Maintainer

Max Kuhn

Last Published

November 19th, 2018

Functions in embed (0.0.2)

reexports

Objects exported from other packages
step_embed

Encoding Factors into Multiple Columns
step_lencode_bayes

Supervised Factor Conversions into Linear Functions using Bayesian Likelihood Encodings
step_lencode_glm

Supervised Factor Conversions into Linear Functions using Likelihood Encodings
step_lencode_mixed

Supervised Factor Conversions into Linear Functions using Bayesian Likelihood Encodings