stackedTrainResiduals

This function extracts the predictions, observeds, and residuals from a <code>train</code> object.
It uses the object's stacked predictions from cross-validation.

internal

Functions for creating ensembles of caret models: caretList()
and caretStack(). caretList() is a convenience function for fitting multiple
caret::train() models to the same dataset. caretStack() will make linear or
non-linear combinations of these models, using a caret::train() model as a
meta-model.

Zachary A Mayer

caretEnsemble

Ensembles of Caret Models

Antón López

stackedTrainResiduals function

<dl><dt>object</dt>
<dd>a <code>train</code> object</dd>
<dt>show_class_id</dt>
<dd>For classification only: which class level to use for residuals</dd></dl>

Arguments

Extracted stacked residuals for the autoplot — stackedTrainResiduals

<dl>

<dt>object</dt>
<dd>a <code>train</code> object</dd>


<dt>show_class_id</dt>
<dd>For classification only: which class level to use for residuals</dd>

</dl>

stackedTrainResiduals: Extracted stacked residuals for the autoplot

Description

Usage

Value

Arguments