stop_iter_cv_result

Function to get the stoppting iteration from CV

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

stop_iter_cv_result function

<dl><dt>res</dt>
<dd>result of cv call</dd>
<dt>thisFUN</dt>
<dd>aggregating function applied over folds</dd>
<dt>loss</dt>
<dd>which loss to use for decision</dd>
<dt>whichFUN</dt>
<dd>which function to use for decision</dd></dl>

Arguments

Function to get the stoppting iteration from CV — stop_iter_cv_result

<dl>

<dt>res</dt>
<dd>result of cv call</dd>


<dt>thisFUN</dt>
<dd>aggregating function applied over folds</dd>


<dt>loss</dt>
<dd>which loss to use for decision</dd>


<dt>whichFUN</dt>
<dd>which function to use for decision</dd>

</dl>

stop_iter_cv_result: Function to get the stoppting iteration from CV

Description

Usage

Arguments