get_luz_dataset

Helper function to create an function that generates R6 instances of 
class dataset

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

get_luz_dataset function

<dl><dt>df_list</dt>
<dd>list; data for the distribution learning model (data for every distributional parameter)</dd>
<dt>target</dt>
<dd>vector; target value</dd>
<dt>length</dt>
<dd>amount of inputs</dd>
<dt>object</dt>
<dd>deepregression object</dd></dl>

Arguments

Helper function to create an function that generates R6 instances of 
class dataset — get_luz_dataset

<dl>

<dt>df_list</dt>
<dd>list; data for the distribution learning model (data for every distributional parameter)</dd>


<dt>target</dt>
<dd>vector; target value</dd>


<dt>length</dt>
<dd>amount of inputs</dd>


<dt>object</dt>
<dd>deepregression object</dd>

</dl>

get_luz_dataset: Helper function to create an function that generates R6 instances of class dataset

Description

Usage

Value

Arguments