Metadata-Version: 1.1
Name: pyDiscreteProbability
Version: 0.6.dev.4722cdf
Summary: Discrete probability learning and inference in Python.
Home-page: http://pypi.python.org/pypi/pyDiscreteProbability/
Author: Viet Nguyen
Author-email: vnguyen@cs.ucla.edu
License: LICENSE.txt
Description: =====================
        pyDiscreteProbability
        =====================
        
        Description
        -----------
        
        pyDiscreteProbability provides a number of classes and functions for dealing
        with discrete probabilities. These include joint probability tables
        (``JointTable``), conditional probability tables (``ConditionalTable``), and
        Bayesian networks.
        
        This module is not intended for any production and/or scientific use. It is
        developed primarily for education purposes. The demands of production or
        scientific use, such as good numerical conditioning and good verification and
        validation coverage are not guaranteed.
        
        Examples
        --------
        
        A simple example can be found at http://nbviewer.ipython.org/5883568.
        
        
Platform: UNKNOWN
Classifier: Topic :: Education
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
