isClassifierAndValidate

Validate the model type from a <code><a href="/link/train?package=caretEnsemble&version=4.0.1" data-mini-rdoc="caretEnsemble::train">train</a></code> object.
For classification, validates that the model can predict probabilities, and,
 if stacked predictions are requested, that classProbs = TRUE.

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

isClassifierAndValidate 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>validate_for_stacking</dt>
<dd>a logical indicating whether to validate the object for stacked predictions</dd></dl>

Arguments

Validate the model type from a <code><a href='https://rdrr.io/pkg/caret/man/train.html'>train</a></code> object.
For classification, validates that the model can predict probabilities, and,
 if stacked predictions are requested, that classProbs = TRUE.

Validate a model type — isClassifierAndValidate

<dl>

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


<dt>validate_for_stacking</dt>
<dd>a logical indicating whether to validate the object for stacked predictions</dd>

</dl>

isClassifierAndValidate: Validate a model type

Description

Usage

Value

Arguments