caretPredict

This is a prediction wrapper for <code><a href="/link/train?package=caretEnsemble&version=4.0.1" data-mini-rdoc="caretEnsemble::train">train</a></code> with several features:
- If newdata is null, return stacked predictions from the training job, rather than in-sample predictions.
- Always returns probabilities for classification models.
- Optionally drops one predicted class for classification models.
- Always returns a <code><a href="https://rdatatable.gitlab.io/data.table/reference/data.table.html">data.table</a></code>

internal

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.

Zachary A Mayer

caretEnsemble

Ensembles of Caret Models

Antón López

caretPredict function

<dl><dt>object</dt>
<dd>a <code><a href="/link/train?package=caretEnsemble&version=4.0.1" data-mini-rdoc="caretEnsemble::train">train</a></code> object</dd>
<dt>newdata</dt>
<dd>New data to use for predictions. If NULL, stacked predictions from the training data are returned.</dd>
<dt>excluded_class_id</dt>
<dd>an integer indicating the class to exclude. If 0L, no class is excluded</dd>
<dt>...</dt>
<dd>additional arguments to pass to <code><a href="/link/predict.train?package=caretEnsemble&version=4.0.1" data-mini-rdoc="caretEnsemble::predict.train">predict.train</a></code>, if newdata is not NULL</dd></dl>

Arguments

This is a prediction wrapper for <code><a href='https://rdrr.io/pkg/caret/man/train.html'>train</a></code> with several features:
- If newdata is null, return stacked predictions from the training job, rather than in-sample predictions.
- Always returns probabilities for classification models.
- Optionally drops one predicted class for classification models.
- Always returns a <code><a href='https://rdatatable.gitlab.io/data.table/reference/data.table.html'>data.table</a></code>

Prediction wrapper for train — caretPredict

<dl>

<dt>object</dt>
<dd>a <code><a href='https://rdrr.io/pkg/caret/man/train.html'>train</a></code> object</dd>


<dt>newdata</dt>
<dd>New data to use for predictions. If NULL, stacked predictions from the training data are returned.</dd>


<dt>excluded_class_id</dt>
<dd>an integer indicating the class to exclude. If 0L, no class is excluded</dd>


<dt>...</dt>
<dd>additional arguments to pass to <code><a href='https://rdrr.io/pkg/caret/man/predict.train.html'>predict.train</a></code>, if newdata is not NULL</dd>

</dl>

caretPredict: Prediction wrapper for `train`

Description

Usage

Value

Arguments