predict.caretList

object

New data for predictions. It can be NULL, but this is ill-advised.

newdata

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".

Logical. If FALSE no progress bar is printed if TRUE a progress
bar is shown. Default FALSE.

verbose

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