check_input_args_fit

Function to check if inputs are supported by corresponding fit function

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

check_input_args_fit function

<dl><dt>args</dt>
<dd>list; list of arguments used in fit process</dd>
<dt>fit_fun</dt>
<dd>used fit function (e.g. fit.keras.engine.training.Model)</dd></dl>

Arguments

Function to check if inputs are supported by corresponding fit function — check_input_args_fit

<dl>

<dt>args</dt>
<dd>list; list of arguments used in fit process</dd>


<dt>fit_fun</dt>
<dd>used fit function (e.g. fit.keras.engine.training.Model)</dd>

</dl>

check_input_args_fit: Function to check if inputs are supported by corresponding fit function

Description

Usage

Value

Arguments