print.broken

Model agnostic tool for decomposition of predictions from black boxes.
Break Down Table shows contributions of every variable to a final prediction.
Break Down Plot presents variable contributions in a concise graphical way.
This package work for binary classifiers and general regression models.

Przemyslaw Biecek

breakDown

Model Agnostic Explainers for Individual Predictions

Aleksandra Grudziaz

print.broken function

<dl><dt>x</dt>
<dd>the model model of 'broken' class</dd>
<dt>...</dt>
<dd>other parameters</dd>
<dt>digits</dt>
<dd>number of decimal places (round) or significant digits (signif) to be used.
See the <code>rounding_function</code> argument</dd>
<dt>rounding_function</dt>
<dd>function that is to used for rounding numbers.
It may be <code><a href="/link/signif()?package=breakDown&version=0.2.2" data-mini-rdoc="breakDown::signif()">signif()</a></code> which keeps a specified number of significant digits.
Or the default <code><a href="/link/round()?package=breakDown&version=0.2.2" data-mini-rdoc="breakDown::round()">round()</a></code> to have the same precision for all components</dd></dl>

Arguments

Break Down Print — print.broken

<dl>

<dt>x</dt>
<dd>the model model of 'broken' class</dd>


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


<dt>digits</dt>
<dd>number of decimal places (round) or significant digits (signif) to be used.
See the <code>rounding_function</code> argument</dd>


<dt>rounding_function</dt>
<dd>function that is to used for rounding numbers.
It may be <code><a href='https://rdrr.io/r/base/Round.html'>signif()</a></code> which keeps a specified number of significant digits.
Or the default <code><a href='https://rdrr.io/r/base/Round.html'>round()</a></code> to have the same precision for all components</dd>

</dl>

print.broken: Break Down Print

Description

Usage

Value

Arguments