fitted.drEnsemble

Method for extracting the fitted values of an ensemble

Allows for the specification of semi-structured deep distributional regression models which are fitted in a neural network as
proposed by Ruegamer et al. (2023) <doi:10.18637/jss.v105.i02>.
Predictors can be modeled using structured (penalized) linear effects, structured non-linear effects or using an unstructured deep network model.

David Ruegamer

deepregression

Fitting Deep Distributional Regression

Christopher Marquardt

Laetitia Frost

Florian Pfisterer

Philipp Baumann

Chris Kolb

Lucas Kook

fitted.drEnsemble function

<dl><dt>object</dt>
<dd>a deepregression model</dd>
<dt>apply_fun</dt>
<dd>function applied to fitted distribution,
per default <code>tfd_mean</code></dd>
<dt>...</dt>
<dd>arguments passed to the <code>predict</code> function</dd></dl>

Arguments

Method for extracting the fitted values of an ensemble — fitted.drEnsemble

<dl>

<dt>object</dt>
<dd>a deepregression model</dd>


<dt>apply_fun</dt>
<dd>function applied to fitted distribution,
per default <code>tfd_mean</code></dd>


<dt>...</dt>
<dd>arguments passed to the <code>predict</code> function</dd>

</dl>

fitted.drEnsemble: Method for extracting the fitted values of an ensemble

Description

Usage

Value

Arguments