shap.importance

Variable importance as measured by mean absolute SHAP value.

Aid in visual data investigations
using SHAP (SHapley Additive exPlanation) visualization plots for 'XGBoost' and 'LightGBM'.
It provides summary plot, dependence plot, interaction plot, and force plot and relies on
the SHAP implementation provided by 'XGBoost' and 'LightGBM'.
Please refer to 'slundberg/shap' for the original implementation of SHAP in 'Python'.

Yang Liu

SHAPforxgboost

SHAP Plots for 'XGBoost'

Allan Just

Michael Mayer

shap.importance function

<dl><dt>data_long</dt>
<dd>a long format data of SHAP values from
<code>shap.prep</code></dd>
<dt>names_only</dt>
<dd>If <code>TRUE</code>, returns variable names only.</dd>
<dt>top_n</dt>
<dd>How many variables to be returned?</dd></dl>

Arguments

Variable importance as measured by mean absolute SHAP value. — shap.importance

<dl>

<dt>data_long</dt>
<dd>a long format data of SHAP values from
<code>shap.prep</code></dd>


<dt>names_only</dt>
<dd>If <code>TRUE</code>, returns variable names only.</dd>


<dt>top_n</dt>
<dd>How many variables to be returned?</dd>

</dl>

shap.importance: Variable importance as measured by mean absolute SHAP value.

Description

Usage

Value

Arguments

Examples