extractCaretTarget.default

This function extracts the y variable from a set of arguments headed to a caret::train.default model.

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

extractCaretTarget.default function

<dl><dt>x</dt>
<dd>an object where samples are in rows and features are in columns. This could be a simple matrix, data frame or other type (e.g. sparse matrix). See Details below.</dd>
<dt>y</dt>
<dd>a numeric or factor vector containing the outcome for each sample.</dd>
<dt>...</dt>
<dd>ignored</dd></dl>

Arguments

Extracts the target variable from a set of arguments headed to the caret::train.default function. — extractCaretTarget.default

<dl>

<dt>x</dt>
<dd>an object where samples are in rows and features are in columns. This could be a simple matrix, data frame or other type (e.g. sparse matrix). See Details below.</dd>


<dt>y</dt>
<dd>a numeric or factor vector containing the outcome for each sample.</dd>


<dt>...</dt>
<dd>ignored</dd>

</dl>

extractCaretTarget.default: Extracts the target variable from a set of arguments headed to the caret::train.default function.

Description

Usage

Arguments