weight_matrix_cpp

internal

It was developed as a tool for exploring 'PPTreereg' (Projection Pursuit TREE of REGression).
It uses various projection pursuit indexes and 'XAI' (eXplainable Artificial Intelligence) methods to help
understand the model by finding connections between the input variables and prediction values of the model.
The 'KernelSHAP' (Aas, Jullum and Løland (2019) <arXiv:1903.10464>) algorithm was modified to fit ‘PPTreereg’,
and some codes were modified from the 'shapr' package (Sellereite, Nikolai, and Martin Jullum (2020) <doi:10.21105/joss.02027>).
The implemented methods help to explore the model at the single instance level as well as at the whole dataset level.
Users can compare with other machine learning models by applying it to the 'DALEX' package of 'R'.

HyunSun Cho

PPtreeregViz

Projection Pursuit Regression Tree Visualization

Eun-Kyung Lee

Nikolai Sellereite

Martin Jullum

Annabelle Redelmeier

Norsk Regnesentral 

weight_matrix_cpp function

<dl><dt>subsets</dt>
<dd>List. Each of the elements equals an integer
vector representing a valid combination of features/feature groups.</dd>
<dt>m</dt>
<dd>Integer. Number of features/feature groups</dd>
<dt>n</dt>
<dd>Integer. Number of combinations</dd>
<dt>w</dt>
<dd>Numeric vector of length <code>n</code>, i.e. <code>w[i]</code> equals
the Shapley weight of feature/feature group combination <code>i</code>, represented by
<code>subsets[[i]]</code>.</dd></dl>

Arguments

Author

Calculate weight matrix — weight_matrix_cpp

<dl>

<dt>subsets</dt>
<dd>List. Each of the elements equals an integer
vector representing a valid combination of features/feature groups.</dd>


<dt>m</dt>
<dd>Integer. Number of features/feature groups</dd>


<dt>n</dt>
<dd>Integer. Number of combinations</dd>


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

</dl>

Calculate weight matrix

weight_matrix_cpp: Calculate weight matrix

Description

Usage

Value

Arguments

Author