prepare_data_single_coalition

The <code>prepare_data.categorical()</code> function is slow when evaluated for a single coalition.
This is a bottleneck for Causal Shapley values which call said function a lot with single 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 

prepare_data_single_coalition function

<dl><dt>internal</dt>
<dd>List.
Holds all parameters, data, functions and computed objects used within <code>explain()</code>
The list contains one or more of the elements <code>parameters</code>, <code>data</code>, <code>objects</code>, <code>iter_list</code>, <code>timing_list</code>,
<code>main_timing_list</code>, <code>output</code>, and <code>iter_timing_list</code>.</dd></dl>

Arguments

Author

Compute the conditional probabilities for a single coalition for the categorical approach — prepare_data_single_coalition

<dl>

<dt>internal</dt>
<dd>List.
Holds all parameters, data, functions and computed objects used within <code>explain()</code>
The list contains one or more of the elements <code>parameters</code>, <code>data</code>, <code>objects</code>, <code>iter_list</code>, <code>timing_list</code>,
<code>main_timing_list</code>, <code>output</code>, and <code>iter_timing_list</code>.</dd>

</dl>

Compute the conditional probabilities for a single coalition for the categorical approach

prepare_data_single_coalition: Compute the conditional probabilities for a single coalition for the categorical approach

Description

Usage

Arguments

Author