Metadata-Version: 2.1
Name: imodels
Version: 0.2.5
Summary: Implementations of various interpretable models
Home-page: https://github.com/csinva/interpretability-implementations-demos
Author: Chandan Singh
Author-email: chandan_singh@berkeley.edu
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: cvxpy
Requires-Dist: mlxtend
Requires-Dist: pytest

Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).


