CROCpy3 1.1.26

Description:

CROCpy3 1.1.26

================The CROCpy3 Package (the original CROC package adapted for Python 3.7)================A package for calculating ROC curves and Concentrated ROC (CROC) curves written by `Dr. S. Joshua Swamidass <http://swami.wustl.edu>`_.Citation-------- | **A CROC Stronger than ROC: Measuring, Visualizing, and Optimizing Early Retrieval** | S. Joshua Swamidass, Chloe-Agathe Azencott, Kenny Daily and Pierre Baldi | *Bioinformatics*, April 2010, `doi:10.1093/bioinformatics/btq140 <http://bioinformatics.oxfordjournals.org/cgi/content/abstract/btq140>`_Description-----------This pure-python package is designed to be a standardized implementation of performance curvesand metrics for use either in python scripts or through a simple commandline interface. As a standardized implementationits output is robust enough to be using in publishable scientific work.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 x-axis transforms.The docstrings in this module are fairly complete and the scripts provide simple access tothe most common functions. Further documentation can be found at http://swami.wustl.edu/CROC/