iml: An R package for Interpretable Machine Learning

R Jupyter Notebook Submitted 19 June 2018Published 27 June 2018
Review

Editor: @leeper (all papers)
Reviewers: @nhejazi (all reviews)

Authors

Christoph Molnar (0000-0003-2331-868X), Giuseppe Casalicchio (0000-0001-5324-5966), Bernd Bischl (0000-0001-6002-6980)

Citation

Molnar et al., (2018). iml: An R package for Interpretable Machine Learning . Journal of Open Source Software, 3(26), 786, https://doi.org/10.21105/joss.00786

@article{Molnar2018, doi = {10.21105/joss.00786}, url = {https://doi.org/10.21105/joss.00786}, year = {2018}, publisher = {The Open Journal}, volume = {3}, number = {26}, pages = {786}, author = {Christoph Molnar and Giuseppe Casalicchio and Bernd Bischl}, title = {iml: An R package for Interpretable Machine Learning}, journal = {Journal of Open Source Software} }
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machine learning interpretability

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ISSN 2475-9066