required_pkgs.step_collapse_cart

required_pkgs.step_collapse_stringdist

required_pkgs.step_discretize_cart

required_pkgs.step_discretize_xgb

required_pkgs.step_embed

required_pkgs.step_feature_hash

required_pkgs.step_lencode_bayes

required_pkgs.step_lencode_glm

required_pkgs.step_lencode_mixed

required_pkgs.step_pca_sparse

required_pkgs.step_pca_sparse_bayes

required_pkgs.step_pca_truncated

required_pkgs.step_umap

required_pkgs.step_woe

Recipe-adjacent packages always list themselves as a required package so that
the steps can function properly within parallel processing schemes.

internal

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

Posit Software, PBC 

required_pkgs.step_collapse_cart function

<dl><dt>x</dt>
<dd>A recipe step</dd></dl>

Arguments

S3 methods for tracking which additional packages are needed for steps. — required_pkgs.step_collapse_cart

<dl>

<dt>x</dt>
<dd>A recipe step</dd>

</dl>

S3 methods for tracking which additional packages are needed for steps.

required_pkgs.step_collapse_cart: S3 methods for tracking which additional packages are needed for steps.

Description

Usage

Value

Arguments