vaeac_get_x_explain_extended

Function to extend the explicands and apply all relevant masks/coalitions

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 

vaeac_get_x_explain_extended function

<dl><dt>x_explain</dt>
<dd>Matrix or data.frame/data.table.
Features for which predictions should be explained.</dd>
<dt>S</dt>
<dd>The <code>internal$objects$S</code> matrix containing the possible coalitions.</dd>
<dt>index_features</dt>
<dd>Positive integer vector. Specifies the id_coalition to
apply to the present method. <code>NULL</code> means all coalitions. Only used internally.</dd></dl>

Arguments

Author

Function to extend the explicands and apply all relevant masks/coalitions — vaeac_get_x_explain_extended

<dl>

<dt>x_explain</dt>
<dd>Matrix or data.frame/data.table.
Features for which predictions should be explained.</dd>


<dt>S</dt>
<dd>The <code>internal$objects$S</code> matrix containing the possible coalitions.</dd>


<dt>index_features</dt>
<dd>Positive integer vector. Specifies the id_coalition to
apply to the present method. <code>NULL</code> means all coalitions. Only used internally.</dd>

</dl>

Function to extend the explicands and apply all relevant masks/coalitions

vaeac_get_x_explain_extended: Function to extend the explicands and apply all relevant masks/coalitions

Description

Usage

Value

Arguments

Author