trControlCheck

This function checks the user-supplied trainControl object and makes sure it has all the required fields. If the resampling indexes are missing, it adds them to the model. If savePredictions=FALSE or "none", this function sets it to "final".

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

trControlCheck function

<dl><dt>x</dt>
<dd>a trainControl object.</dd>
<dt>y</dt>
<dd>the target for the model. Used to determine resampling indexes.</dd></dl>

Arguments

Check that the trainControl object supplied by the user is valid and has defined re-sampling indexes. — trControlCheck

<dl>

<dt>x</dt>
<dd>a trainControl object.</dd>


<dt>y</dt>
<dd>the target for the model. Used to determine resampling indexes.</dd>

</dl>

trControlCheck: Check that the trainControl object supplied by the user is valid and has defined re-sampling indexes.

Description

Usage

Arguments