Metadata-Version: 1.1
Name: CROC
Version: 1.0b.54
Summary: A package for calculating ROC curves and Concentrated ROC (CROC) curves.
Home-page: http://www.ics.uci.edu/~sswamida/CROC
Author: S. Joshua Swamidass
Author-email: swamidass@gmail.com
License: UNKNOWN
Description: ================
        The CROC Package
        ================
        
        This pure-python package is designed to be a standard implementation of performance curves
        and metrics for use either in python scripts or through a simple commandline interface.
        
        With this package, one can easily:
        
        #. Compute the coordinates of both Accumulation Curves and ROC curves.
        #. Handle ties appropriately using several methods.
        #. Compute the BEDROC metric.
        #. Vertically add and average the performance curves of several cross-validation folds.
        #. Focus on the early part of the ROC curve by using several soon to be published x-axis transforms.
        
        Please email the author if you discover any bugs. Currently, this package is officially in BETA
        status. Full documentation can be found at http://www.ics.uci.edu/~sswamida/CROC
        
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Science/Research
Classifier: License :: Free for non-commercial use
Classifier: Natural Language :: English
Classifier: Environment :: Console
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Classifier: Topic :: Scientific/Engineering :: Visualization
Requires: sympy
