reinit_weights.deepregression

Method to re-initialize weights of a <code>"deepregression"</code> model

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

reinit_weights.deepregression function

<dl><dt>object</dt>
<dd>object of class <code>"deepregression"</code></dd>
<dt>seed</dt>
<dd>seed for reproducibility</dd></dl>

Arguments

Method to re-initialize weights of a "deepregression" model — reinit_weights.deepregression

<dl>

<dt>object</dt>
<dd>object of class <code>"deepregression"</code></dd>


<dt>seed</dt>
<dd>seed for reproducibility</dd>

</dl>

reinit_weights.deepregression: Method to re-initialize weights of a `"deepregression"` model

Description

Usage

Value

Arguments