Metadata-Version: 1.0
Name: pyroc
Version: 0.1.0
Summary: Python tools for working with the AUROC
Home-page: https://github.com/alistairew/pyroc
Author: Alistair Johnson, Lucas Bulgarelli
Author-email: aewj@mit.edu
License: MIT
Description: pyroc
        =========
        
        pyroc is a package for analyzing receiver operator characteristic (ROC) curves.
        It includes the ability to statistically compare the area under the ROC (AUROC) for two or more classifiers.
        
        Quick start
        -----------
        
        Install:
        
            pip install pyroc
        
        Use:
        
            import pyroc
            import numpy as np
            
            pred = np.random.rand(100) 
            target = np.round(pred)
            # flip 10% of labels
            target[0:10] = 1 - target[0:10]
            W = pyroc.auroc(target, pred)
        
            # second prediction
            pred2 = pred
            pred2[10:20] = 1 - pred2[10:20]
            auroc, ci = pyroc.auroc_ci(target, [pred, pred2])
            print(auroc)
            print(ci)
        
        Documentation
        -------------
        
        Documentation is available on `readthedocs <http://pyroc.readthedocs.io/en/latest/>`_. An executable demonstration of the package is available on `GitHub as a Jupyter Notebook <https://github.com/alistairewj/pyroc/blob/master/usage.ipynb>`_.
        
        Installation
        ------------
        
        To install the package with pip, run::
        
            pip install pyroc
        
        To install this package with conda, run::
            
            conda install -c conda-forge pyroc
Keywords: AUROC AUC DeLong p-value
Platform: UNKNOWN
