predict.data_stack

The data stack must be evaluated with <code>blend_predictions()</code> and its member
models fitted with <code>fit_members()</code> to predict on new data.

Model stacking is an ensemble technique
that involves training a model to combine the outputs of many
diverse statistical models, and has been shown to improve
predictive performance in a variety of settings. 'stacks'
implements a grammar for 'tidymodels'-aligned model stacking.

Simon P. Couch

stacks

Tidy Model Stacking

Simon Couch

Max Kuhn

RStudio 

predict.data_stack function

<dl><dt>object</dt>
<dd>A data stack.</dd>
<dt>...</dt>
<dd>Additional arguments. Currently ignored.</dd></dl>

Arguments

Predicting with a model stack — predict.data_stack

<dl>

<dt>object</dt>
<dd>A data stack.</dd>


<dt>...</dt>
<dd>Additional arguments. Currently ignored.</dd>

</dl>

predict.data_stack: Predicting with a model stack

Description

Usage

Arguments