multi_predict._cubist

multi_predict._xrf

<code>multi_predict()</code> methods for rule-based models

Bindings for additional models for use with the 'parsnip'
package. Models include prediction rule ensembles (Friedman and
Popescu, 2008) <doi:10.1214/07-AOAS148>, C5.0 rules (Quinlan, 1992
ISBN: 1558602380), and Cubist (Kuhn and Johnson, 2013)
<doi:10.1007/978-1-4614-6849-3>.

Emil Hvitfeldt

rules

Model Wrappers for Rule-Based Models

Max Kuhn

Posit Software, PBC 

multi_predict._cubist function

<dl><dt>object</dt>
<dd>A <code>model_fit</code> object.</dd>
<dt>new_data</dt>
<dd>A rectangular data object, such as a data frame.</dd>
<dt>type</dt>
<dd>A single character value or <code>NULL</code>. This argument is ignored in
the method for <code>_cubist</code> objects and is handled internally (since
<code>type = "numeric"</code> is always used).</dd>
<dt>neighbors</dt>
<dd>A numeric vector of neighbors values between zero and nine.</dd>
<dt>...</dt>
<dd>Not currently used.</dd>
<dt>penalty</dt>
<dd>Non-negative penalty values.</dd></dl>

Arguments

multi_predict() methods for rule-based models — multi_predict._cubist

<dl>

<dt>object</dt>
<dd>A <code>model_fit</code> object.</dd>


<dt>new_data</dt>
<dd>A rectangular data object, such as a data frame.</dd>


<dt>type</dt>
<dd>A single character value or <code>NULL</code>. This argument is ignored in
the method for <code>_cubist</code> objects and is handled internally (since
<code>type = "numeric"</code> is always used).</dd>


<dt>neighbors</dt>
<dd>A numeric vector of neighbors values between zero and nine.</dd>


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


<dt>penalty</dt>
<dd>Non-negative penalty values.</dd>

</dl>

multi_predict._cubist: `multi_predict()` methods for rule-based models

Description

Usage

Arguments