embed v0.0.2

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Extra Recipes for Encoding Categorical Predictors

Factor predictors can be converted to one or more numeric representations using simple generalized linear models <arXiv:1611.09477> or nonlinear models <arXiv:1604.06737>. All encoding methods are supervised.

Functions in embed

Name Description
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
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License GPL-2
Encoding UTF-8
LazyData true
RoxygenNote 6.1.1
ByteCompile true
URL https://tidymodels.github.io/embed
BugReports https://github.com/tidymodels/embed/issues
NeedsCompilation no
Packaged 2018-11-19 18:30:36 UTC; max
Repository CRAN
Date/Publication 2018-11-19 19:00:15 UTC

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