Metadata-Version: 2.1
Name: rfpimp
Version: 1.3.6
Summary: Permutation and drop-column importance for scikit-learn random forests and other models
Home-page: https://github.com/parrt/random-forest-importances
Author: Terence Parr, Kerem Turgutlu
Author-email: parrt@antlr.org, kcturgutlu@dons.usfca.edu
License: MIT
Description: A library that provides feature importances, based upon
        the permutation importance strategy, for general scikit-learn
        models and implementations specifically for random forest out-of-bag scores.
        Built by Terence Parr and Kerem Turgutlu.
        See <a href="http://explained.ai/rf-importance/index.html">Beware Default
        Random Forest Importances</a> for a deeper discussion of the issues surrounding
        feature importances in random forests.
        
Keywords: scikit-learn random forest feature permutation importances
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Developers
Requires-Python: >=3.6
Description-Content-Type: text/markdown
