print.break_down_description

Print Generic for Break Down Objects

Model agnostic tool for decomposition of predictions from black boxes.
Supports additive attributions and attributions with interactions.
The Break Down Table shows contributions of every variable to a final prediction.
The Break Down Plot presents variable contributions in a concise graphical way.
This package works for classification and regression models.
It is an extension of the 'breakDown' package (Staniak and Biecek 2018) <doi:10.32614/RJ-2018-072>,
with new and faster strategies for orderings.
It supports interactions in explanations and has interactive visuals (implemented with 'D3.js' library).
The methodology behind is described in the 'iBreakDown' article (Gosiewska and Biecek 2019) <arXiv:1903.11420>
This package is a part of the 'DrWhy.AI' universe (Biecek 2018) <arXiv:1806.08915>.

Przemyslaw Biecek

iBreakDown

Model Agnostic Instance Level Variable Attributions

Alicja Gosiewska

Hubert Baniecki

Adam Izdebski

Dariusz Komosinski

print.break_down_description function

<dl><dt>x</dt>
<dd>a description of <code>break_down_description</code> class.</dd>
<dt>...</dt>
<dd>other parameters.</dd></dl>

Arguments

Print Generic for Break Down Objects — print.break_down_description

<dl>

<dt>x</dt>
<dd>a description of <code>break_down_description</code> class.</dd>


<dt>...</dt>
<dd>other parameters.</dd>

</dl>

print.break_down_description: Print Generic for Break Down Objects

Description

Usage

Value

Arguments

References