strongest_interaction

internal

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

strongest_interaction function

<dl><dt>X0</dt>
<dd>Data set corresponding to data0.</dd>
<dt>Xlong</dt>
<dd>Data set corresponding to data_long.</dd></dl>

Arguments

Finds variable with presumably strongest interaction effect. — strongest_interaction

<dl>

<dt>X0</dt>
<dd>Data set corresponding to data0.</dd>


<dt>Xlong</dt>
<dd>Data set corresponding to data_long.</dd>

</dl>

strongest_interaction: Finds variable with presumably strongest interaction effect.

Description

Usage

Arguments