update_miniconda_deepregression

Function to update miniconda and packages

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

update_miniconda_deepregression function

<dl><dt>python</dt>
<dd>string; version of python</dd>
<dt>uninstall</dt>
<dd>logical; whether to uninstall previous conda env</dd>
<dt>also_packages</dt>
<dd>logical; whether to install also all required packages</dd></dl>

Arguments

Function to update miniconda and packages — update_miniconda_deepregression

<dl>

<dt>python</dt>
<dd>string; version of python</dd>


<dt>uninstall</dt>
<dd>logical; whether to uninstall previous conda env</dd>


<dt>also_packages</dt>
<dd>logical; whether to install also all required packages</dd>

</dl>

update_miniconda_deepregression: Function to update miniconda and packages

Description

Usage

Arguments