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TreeIG

Fuente: Zenodo

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Bibliographische Detailangaben
1. Verfasser:	Hentschel, Ludger
Format:	Recurso digital
Veröffentlicht:	Zenodo 2026
Schlagworte:	machine learning interpretability integrated gradients feature attribution explainable ai xgboost lightgbm tree ensembles
Online-Zugang:	Acceder al recurso
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_version_	1866902132494434304
author	Hentschel, Ludger
author_facet	Hentschel, Ludger
contents	TreeIG computes exact Integrated Gradients feature attributions for tree ensembles, including XGBoost, LightGBM, and selected scikit-learn tree models.
format	Recurso digital
id	zenodo_https___doi_org_10_5281_zenodo_20367241
institution	Zenodo
language
publishDate	2026
publisher	Zenodo
record_format	zenodo
spellingShingle	TreeIG Hentschel, Ludger machine learning interpretability integrated gradients feature attribution explainable ai xgboost lightgbm tree ensembles TreeIG computes exact Integrated Gradients feature attributions for tree ensembles, including XGBoost, LightGBM, and selected scikit-learn tree models.
title	TreeIG
topic	machine learning interpretability integrated gradients feature attribution explainable ai xgboost lightgbm tree ensembles
url	https://doi.org/10.5281/zenodo.20367241