1299059
doi
10.5281/zenodo.1299059
oai:zenodo.org:1299059
iml: An R package for Interpretable Machine Learning
Molnar, Christoph
LMU Munich
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Interpretable Machine Learning
Machine Learning
R
<p>Interpretability methods to analyze the behavior and predictions of any machine learning model.<br>
Implemented methods are:</p>
<ul>
<li>Feature importance described by Fisher et al. (2018)<arXiv:1801.01489></li>
<li>Partial dependence plots described by Friedman (2001) <http://www.jstor.org/stable/2699986></li>
<li>Individual conditional expectation ('ice') plots described by Goldstein et al. (2013)<doi:10.1080/10618600.2014.907095></li>
<li>Local models (variant of 'lime') described by Ribeiro et. al (2016) <arXiv:1602.04938></li>
<li>Shapley Value described by Strumbelj et. al (2014) <doi:10.1007/s10115-013-0679-x></li>
<li>Feature interactions described by Friedman et. al <doi:10.1214/07-AOAS148></li>
<li>Tree surrogate models.</li>
</ul>
Zenodo
2018-06-27
info:eu-repo/semantics/other
1299058
v0.5.2
1579980166.536705
537520
md5:de10f17f47d895bef3df78cfa62893ce
https://zenodo.org/records/1299059/files/iml-JOSS.tar.gz
public
10.5281/zenodo.1299058
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doi