imodels: a python package for fitting interpretable models

Python Jupyter Notebook Submitted 17 February 2021Published 04 May 2021
Review

Editor: @vissarion (all papers)
Reviewers: @jungtaekkim (all reviews), @yxoos (all reviews)

Authors

Chandan Singh (0000-0003-0318-2340), Keyan Nasseri, Yan Shuo Tan, Tiffany Tang, Bin Yu

Citation

Singh et al., (2021). imodels: a python package for fitting interpretable models. Journal of Open Source Software, 6(61), 3192, https://doi.org/10.21105/joss.03192

@article{Singh2021, doi = {10.21105/joss.03192}, url = {https://doi.org/10.21105/joss.03192}, year = {2021}, publisher = {The Open Journal}, volume = {6}, number = {61}, pages = {3192}, author = {Chandan Singh and Keyan Nasseri and Yan Shuo Tan and Tiffany Tang and Bin Yu}, title = {imodels: a python package for fitting interpretable models}, journal = {Journal of Open Source Software} }
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python machine learning interpretability explainability transparency decision rules

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