multioptimizer

Function to define an optimizer combining multiple optimizers

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

multioptimizer function

<dl><dt>optimizers_and_layers</dt>
<dd>a list if <code>tuple</code>s of optimizer
and respective layers</dd></dl>

Arguments

Function to define an optimizer combining multiple optimizers — multioptimizer

<dl>

<dt>optimizers_and_layers</dt>
<dd>a list if <code>tuple</code>s of optimizer
and respective layers</dd>

</dl>

multioptimizer: Function to define an optimizer combining multiple optimizers

Description

Usage

Value

Arguments