tf_split_multiple

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

tf_split_multiple function

<dl><dt>A</dt>
<dd>tensor</dd>
<dt>len</dt>
<dd>integer; defines the split lengths</dd></dl>

Arguments

Split tensor in multiple parts — tf_split_multiple

<dl>

<dt>A</dt>
<dd>tensor</dd>


<dt>len</dt>
<dd>integer; defines the split lengths</dd>

</dl>

Split tensor in multiple parts

tf_split_multiple: Split tensor in multiple parts

Description

Usage

Value

Arguments