tidy.step_lencode_bayes

tidy.step_discretize_cart

tidy.step_discretize_xgb

tidy.step_lencode_glm

tidy.step_feature_hash

tidy.step_lencode_mixed

tidy.step_pca_sparse

tidy.step_pca_sparse_bayes

tidy.step_embed

tidy.recipe

tidy.step_umap

tidy.step_woe

<p><code>tidy</code> will return a data frame that contains information
regarding a recipe or operation within the recipe (when a <code>tidy</code>
method for the operation exists). See <a rd-options="recipes:tidy.recipe" href="/link/recipes%3A%3Atidy.recipe?package=embed&version=0.2.0&to=recipes%3Atidy.recipe" data-mini-rdoc="recipes:tidy.recipe::recipes::tidy.recipe">recipes::tidy.recipe</a> for
more information.</p>

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

embed

Extra Recipes for Encoding Predictors

Max Kuhn

RStudio 

tidy.step_lencode_bayes function

<p><code>tidy</code> will return a data frame that contains information
regarding a recipe or operation within the recipe (when a <code>tidy</code>
method for the operation exists). See <a rd-options='recipes:tidy.recipe' href='recipes::tidy.recipe'>recipes::tidy.recipe</a> for
more information.</p>

Tidy the Result of a Recipe — tidy.step_lencode_bayes

Tidy the Result of a Recipe

tidy.step_lencode_bayes: Tidy the Result of a Recipe

Description

Usage

Arguments