weight_matrix_cpp

<p>List. Each of the elements equals an integer
vector representing a valid combination of features.</p>

features

<p>Numeric vector of length <code>n</code>, i.e. <code>w[i]</code> equals
the Shapley weight of feature combination <code>i</code>, represented by
<code>features[[i]]</code>.</p>

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 the method
described in Aas, Jullum and L<c3><b8>land (2019) <arXiv:1903.10464>, which accounts for any feature
dependence, and thereby produces more accurate estimates of the true Shapley values.

Martin Jullum

shapr

Prediction Explanation with Dependence-Aware Shapley Values

Nikolai Sellereite

Anders L<c3><b8>land

Jens Christian Wahl

Camilla Lingj<c3><a6>rde

Norsk Regnesentral 

weight_matrix_cpp function

Calculate weight matrix — weight_matrix_cpp

Calculate weight matrix

weight_matrix_cpp: Calculate weight matrix

Description

Usage

Arguments

Value