varImp.caretEnsemble

This function wraps the <code>varImp</code> function in the
<code>caret</code> package to provide a weighted estimate of the importance of
variables in the ensembled models in a <code>caretEnsemble</code> object. Variable
importance for each model is calculated and then averaged by the weight of the overall model
in the ensembled object.

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, and caretEnsemble() will make a robust linear combination of
models using a GLM.

Zachary A Mayer

caretEnsemble

Ensembles of Caret Models

varImp.caretEnsemble function

<dl><dt>object</dt>
<dd>a <code>caretEnsemble</code> to make predictions from.</dd>
<dt>...</dt>
<dd>other arguments to be passed to varImp</dd></dl>

Arguments

Calculate the variable importance of variables in a caretEnsemble. — varImp.caretEnsemble

<dl>

<dt>object</dt>
<dd>a <code>caretEnsemble</code> to make predictions from.</dd>


<dt>...</dt>
<dd>other arguments to be passed to varImp</dd>

</dl>

varImp.caretEnsemble: Calculate the variable importance of variables in a caretEnsemble.

Description

Usage

Value

Arguments