regression.cv_message

Produce message about which batch prepare_data is working on

internal

Complex machine learning models are often hard to interpret. However, in
many situations it is crucial to understand and explain why a model made a specific
prediction. Shapley values is the only method for such prediction explanation framework
with a solid theoretical foundation. Previously known methods for estimating the Shapley
values do, however, assume feature independence. This package implements methods which accounts for any feature
dependence, and thereby produces more accurate estimates of the true Shapley values.
An accompanying 'Python' wrapper ('shaprpy') is available through the GitHub repository.

Martin Jullum

shapr

Prediction Explanation with Dependence-Aware Shapley Values

Lars Henry Berge Olsen

Annabelle Redelmeier

Jon Lachmann

Nikolai Sellereite

Anders Løland

Jens Christian Wahl

Camilla Lingjærde

Norsk Regnesentral 

regression.cv_message function

<dl><dt>regression.results</dt>
<dd>The results of the CV procedures.</dd>
<dt>regression.grid</dt>
<dd>Object containing the hyperparameter values.</dd>
<dt>n_cv</dt>
<dd>Integer (default is 10) specifying the number of CV hyperparameter configurations to print.</dd>
<dt>current_comb</dt>
<dd>Integer vector. The current combination of features, passed to verbosity printing function.</dd></dl>

Arguments

Author

Produce message about which batch prepare_data is working on — regression.cv_message

<dl>

<dt>regression.results</dt>
<dd>The results of the CV procedures.</dd>


<dt>regression.grid</dt>
<dd>Object containing the hyperparameter values.</dd>


<dt>n_cv</dt>
<dd>Integer (default is 10) specifying the number of CV hyperparameter configurations to print.</dd>


<dt>current_comb</dt>
<dd>Integer vector. The current combination of features, passed to verbosity printing function.</dd>

</dl>

Produce message about which batch prepare_data is working on

regression.cv_message: Produce message about which batch prepare_data is working on

Description

Usage

Arguments

Author