common_breaks

An object of class <code>multiflashlight</code>.

data

Maxmium number of unique values to evaluate for numeric <code>v</code>.

n_bins

cut_type

Internal function used to find common breaks from different flashlights.

Shed light on black box machine learning models by the help
of model performance, variable importance, global surrogate models,
ICE profiles, partial dependence (Friedman J. H. (2001)
<doi:10.1214/aos/1013203451>), accumulated local effects (Apley D. W.
(2016) <arXiv:1612.08468>), further effects plots, scatter plots,
interaction strength, and variable contribution breakdown (approximate
SHAP) for single observations (Gosiewska and Biecek (2019)
<arxiv:1903.11420>). All tools are implemented to work with case
weights and allow for stratified analysis. Furthermore, multiple
flashlights can be combined and analyzed together.

Michael Mayer

flashlight

Shed Light on Black Box Machine Learning Models

common_breaks function

<dl><dt>x</dt>
<dd>An object of class <code>multiflashlight</code>.</dd>
<dt>v</dt>
<dd>The variable to be profiled.</dd>
<dt>data</dt>
<dd>A <code>data.frame</code>.</dd>
<dt>n_bins</dt>
<dd>Maxmium number of unique values to evaluate for numeric <code>v</code>.</dd>
<dt>cut_type</dt>
<dd>Cut type</dd></dl>

Arguments

Common Breaks for multiflashlight — common_breaks

<dl>

<dt>x</dt>
<dd>An object of class <code>multiflashlight</code>.</dd>


<dt>v</dt>
<dd>The variable to be profiled.</dd>


<dt>data</dt>
<dd>A <code>data.frame</code>.</dd>


<dt>n_bins</dt>
<dd>Maxmium number of unique values to evaluate for numeric <code>v</code>.</dd>


<dt>cut_type</dt>
<dd>Cut type</dd>

</dl>

common_breaks: Common Breaks for multiflashlight

Description

Usage

Value

Arguments