Metadata-Version: 1.1
Name: forestci
Version: 0.3
Summary: forestci: confidence intervals for scikit-learn forest algorithms
Home-page: http://github.com/scikit-learn-contrib/forest-confidence-interval
Author: Ariel Rokem
Author-email: arokem@uw.edu
License: MIT
Description-Content-Type: UNKNOWN
Description: 
        
        sklearn forest ci
        =================
        
        `forest-confidence-interval` is a Python module for calculating variance and
        adding confidence intervals to scikit-learn random forest regression or
        classification objects. The core functions calculate an in-bag and error bars
        for random forest objects
        
        Please read the repository README_ on Github or our documentation_
        
        .. _README: https://github.com/scikit-learn-contrib/forest-confidence-interval/blob/master/README.md
        
        .. _documentation: http://contrib.scikit-learn.org/forest-confidence-interval/
        
        
Platform: OS Independent
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
