get_distribution

Function to return the fitted distribution

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

get_distribution function

<dl><dt>x</dt>
<dd>the fitted deepregression object</dd>
<dt>data</dt>
<dd>an optional data set</dd>
<dt>force_float</dt>
<dd>forces conversion into float tensors</dd></dl>

Arguments

Function to return the fitted distribution — get_distribution

<dl>

<dt>x</dt>
<dd>the fitted deepregression object</dd>


<dt>data</dt>
<dd>an optional data set</dd>


<dt>force_float</dt>
<dd>forces conversion into float tensors</dd>

</dl>

get_distribution: Function to return the fitted distribution

Description

Usage

Arguments