fit_regularized_linear

fit_regularized_quad

internal

Bindings for additional classification models for use with
the 'parsnip' package. Models include flavors of discriminant
analysis, such as linear (Fisher (1936)
<doi:10.1111/j.1469-1809.1936.tb02137.x>), regularized (Friedman
(1989) <doi:10.1080/01621459.1989.10478752>), and flexible (Hastie,
Tibshirani, and Buja (1994) <doi:10.1080/01621459.1994.10476866>), as
well as naive Bayes classifiers (Hand and Yu (2007)
<doi:10.1111/j.1751-5823.2001.tb00465.x>).

Emil Hvitfeldt

discrim

Model Wrappers for Discriminant Analysis

Max Kuhn

Posit Software, PBC 

fit_regularized_linear function

<dl><dt>x</dt>
<dd>A matrix or data frame.</dd>
<dt>y</dt>
<dd>A factor column.</dd>
<dt>method</dt>
<dd>A character string.</dd>
<dt>...</dt>
<dd>Not currently used.</dd></dl>

Arguments

Wrapper for sparsediscrim models — fit_regularized_linear

<dl>

<dt>x</dt>
<dd>A matrix or data frame.</dd>


<dt>y</dt>
<dd>A factor column.</dd>


<dt>method</dt>
<dd>A character string.</dd>


<dt>...</dt>
<dd>Not currently used.</dd>

</dl>

Wrapper for sparsediscrim models

fit_regularized_linear: Wrapper for sparsediscrim models

Description

Usage

Value

Arguments