tf_repeat

TensorFlow repeat function which is not available for TF 2.0

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_repeat function

<dl><dt>a</dt>
<dd>tensor</dd>
<dt>dim</dt>
<dd>dimension for repeating</dd></dl>

Arguments

TensorFlow repeat function which is not available for TF 2.0 — tf_repeat

<dl>

<dt>a</dt>
<dd>tensor</dd>


<dt>dim</dt>
<dd>dimension for repeating</dd>

</dl>

tf_repeat: TensorFlow repeat function which is not available for TF 2.0

Description

Usage

Arguments