predict.caretList

Make a matrix of predictions from a list of caret models

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

predict.caretList function

<dl><dt>object</dt>
<dd>an object of class caretList</dd>
<dt>newdata</dt>
<dd>New data for predictions. It can be NULL, but this is ill-advised.</dd>
<dt>...</dt>
<dd>additional arguments to pass to predict.train. Pass the <code>newdata</code>
argument here, DO NOT PASS the "type" argument. Classification models will
return probabilities if possible, and regression models will return "raw".</dd>
<dt>verbose</dt>
<dd>Logical. If FALSE no progress bar is printed if TRUE a progress
bar is shown. Default FALSE.</dd></dl>

Arguments

Create a matrix of predictions for each of the models in a caretList — predict.caretList

<dl>

<dt>object</dt>
<dd>an object of class caretList</dd>


<dt>newdata</dt>
<dd>New data for predictions. It can be NULL, but this is ill-advised.</dd>


<dt>...</dt>
<dd>additional arguments to pass to predict.train. Pass the <code>newdata</code>
argument here, DO NOT PASS the "type" argument. Classification models will
return probabilities if possible, and regression models will return "raw".</dd>


<dt>verbose</dt>
<dd>Logical. If FALSE no progress bar is printed if TRUE a progress
bar is shown. Default FALSE.</dd>

</dl>

predict.caretList: Create a matrix of predictions for each of the models in a caretList

Description

Usage

Arguments