exact_coalition_table

Get table with all (exact) 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 

exact_coalition_table function

<dl><dt>m</dt>
<dd>Positive integer.
Total number of features/groups.</dd>
<dt>dt_valid_causal_coalitions</dt>
<dd>data.table. Only applicable for asymmetric Shapley
values explanations, and is <code>NULL</code> for symmetric Shapley values.
The data.table contains information about the coalitions that respects the causal ordering.</dd>
<dt>weight_zero_m</dt>
<dd>Numeric.
The value to use as a replacement for infinite coalition weights when doing numerical operations.</dd></dl>

Arguments

Get table with all (exact) coalitions — exact_coalition_table

<dl>

<dt>m</dt>
<dd>Positive integer.
Total number of features/groups.</dd>


<dt>dt_valid_causal_coalitions</dt>
<dd>data.table. Only applicable for asymmetric Shapley
values explanations, and is <code>NULL</code> for symmetric Shapley values.
The data.table contains information about the coalitions that respects the causal ordering.</dd>


<dt>weight_zero_m</dt>
<dd>Numeric.
The value to use as a replacement for infinite coalition weights when doing numerical operations.</dd>

</dl>

Get table with all (exact) coalitions

exact_coalition_table: Get table with all (exact) coalitions

Description

Usage

Arguments