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<img src="figures/logo.png?package=embed&version=0.2.0" align="right" alt="logo" width="120">
Predictors can be converted to one or more numeric representations using a variety of methods. Effect encodings using simple generalized linear models &lt;arXiv:1611.09477&gt; or nonlinear models &lt;arXiv:1604.06737&gt; can be used. There are also functions for dimension reduction and other approaches.

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Predictors can be converted to one or more numeric
representations using a variety of methods. Effect encodings using
simple generalized linear models <arXiv:1611.09477> or nonlinear
models <arXiv:1604.06737> can be used. There are also functions for
dimension reduction and other approaches.

Emil Hvitfeldt

Extra Recipes for Encoding Predictors

Max Kuhn

RStudio 

embed-package function

<img src='figures/logo.png' align='right' alt='logo' width='120' />
Predictors can be converted to one or more numeric representations using a variety of methods. Effect encodings using simple generalized linear models &lt;arXiv:1611.09477&gt; or nonlinear models &lt;arXiv:1604.06737&gt; can be used. There are also functions for dimension reduction and other approaches.

embed-package: embed: Extra Recipes for Encoding Predictors

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