Metadata-Version: 1.0
Name: pyanno
Version: 2.0.1
Summary: Package for curating data annotation efforts.
Home-page: https://github.com/enthought/uchicago-pyanno
Author: UNKNOWN
Author-email: UNKNOWN
License: BSD
Download-URL: https://github.com/enthought/uchicago-pyanno
Description: pyAnno 2.0
        =====================================================
        
        pyAnno 2.0 is a Python library for the analysis and
        diagnostic testing of annotation and curation
        efforts. pyAnno implements statistical models for
        inferring from categorical data annotated by multiple
        annotators
        
            * annotator accuracies and biases,
            * gold standard categories of items,
            * prevalence of categories in population, and
            * population distribution of annotator accuracies
              and biases.
        
        The models include a generalization of Dawid and
        Skene's (1979) multinomial model with Dirichlet
        priors on prevalence and  estimator accuracy, and
        the two models introduces in Rzhetsky et al.'s (2009).
        The implementation allows Maximum Likelihood and
        Maximum A Posteriori estimation of parameters,
        and to draw samples from the full posterior
        distribution over annotator accuracy.
        
        
        LICENSING
        -----------------------------------------------------
        pyAnno is licensed under a modified BSD license
        (2-clause). For more information, see
        
             LICENSE.txt
        
        
        DOCUMENTATION
        -----------------------------------------------------
        The documentation is hosted at
        http://github.enthought.com/uchicago-pyanno/ .
        
        
        CONTRIBUTORS
        ------------------------------------------------------------
        * Pietro Berkes    (Enthought, Ltd.)
        * Bob Carpenter    (Columbia University,   Statistics)
        * Andrey Rzhetsky  (University of Chicago, Medicine)
        * James Evans      (University of Chicago, Sociology)
        
Platform: Any
