prepare_data

prepare_data.categorical

prepare_data.copula

prepare_data.ctree

prepare_data.empirical

prepare_data.gaussian

prepare_data.independence

prepare_data.regression_separate

prepare_data.regression_surrogate

prepare_data.timeseries

prepare_data.vaeac

Generate data used for predictions and Monte Carlo integration

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 function

<dl><dt>internal</dt>
<dd>List.
Not used directly, but passed through from <code>explain()</code>.</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>
<dt>...</dt>
<dd>Currently not used.</dd></dl>

Arguments

Martin Jullum
Annabelle Redelmeier and Lars Henry Berge Olsen
Lars Henry Berge Olsen
Martin Jullum,

Author

Generate data used for predictions and Monte Carlo integration — prepare_data

<dl>

<dt>internal</dt>
<dd>List.
Not used directly, but passed through from <code>explain()</code>.</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>


<dt>...</dt>
<dd>Currently not used.</dd>

</dl>

Generate data used for predictions and Monte Carlo integration

prepare_data: Generate data used for predictions and Monte Carlo integration

Description

Usage

Value

Arguments

Author