build_linear_predictor

build_linear_predictor._elnet

build_linear_predictor._lognet

build_linear_predictor._multnet

Creates an R expression for a linear predictor from a data frame of terms and
coefficients

internal

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 

build_linear_predictor function

<dl><dt>x</dt>
<dd>An object that uses a <code>glmnet::glmnet()</code> model and all numeric predictors.</dd>
<dt>...</dt>
<dd>Not currently used.</dd></dl>

Arguments

Creates an R expression for a linear predictor from a data frame of terms and
coefficients — build_linear_predictor

<dl>

<dt>x</dt>
<dd>An object that uses a <code>glmnet::glmnet()</code> model and all numeric predictors.</dd>


<dt>...</dt>
<dd>Not currently used.</dd>

</dl>

build_linear_predictor: Creates an R expression for a linear predictor from a data frame of terms and coefficients

Description

Usage

Value

Arguments