Metadata-Version: 1.1
Name: paragami
Version: 0.2
Summary: Python pacakge to flatten and fold parameter data structures.
Home-page: https://github.com/rgiordan/paragami
Author: Ryan Giordano
Author-email: rgiordan@gmail.com
License: UNKNOWN
Description-Content-Type: UNKNOWN
Description: #####################################
        "Parameter origami": ``paragami``.
        #####################################
        
        .. image:: https://travis-ci.org/rgiordan/paragami.svg?branch=master
            :target: https://travis-ci.org/rgiordan/paragami
        
        .. image:: https://codecov.io/gh/rgiordan/paragami/branch/master/graph/badge.svg
          :target: https://codecov.io/gh/rgiordan/paragami
        
        Description.
        ==========================
        
        This is a library (very much still in development) intended to make sensitivity
        analysis easier for optimization problems. The core functionality consists of
        tools for "folding" and "flattening" collections of parameters -- i.e., for
        converting data structures of constrained parameters to and from vectors
        of unconstrained parameters.
        
        For background and motivation, see the following papers:
        
        | Covariances, Robustness, and Variational Bayes
        | Ryan Giordano, Tamara Broderick, Michael I. Jordan
        | https://arxiv.org/abs/1709.02536
        
        |
        
        | A Swiss Army Infinitesimal Jackknife
        | Ryan Giordano, Will Stephenson, Runjing Liu, Michael I. Jordan, Tamara Broderick
        | https://arxiv.org/abs/1806.00550
        
        |
        
        | Evaluating Sensitivity to the Stick Breaking Prior in Bayesian Nonparametrics
        | Runjing Liu, Ryan Giordano, Michael I. Jordan, Tamara Broderick
        | https://arxiv.org/abs/1810.06587
        
        
        Using the package.
        ==========================
        
        We welcome new users!  However, please be aware that the package is still in
        development.  We encourage users to contact the author (github user
        ``rgiordan``) for advice, bugs, or if you're using the package for something
        important.
        
        
        Installation.
        -------------------------
        
        To install the latest tagged version, install with ``pip``:
        
        ``python3 -m pip install paragami``.
        
        Note that ``paragami`` is under rapid development, so you may want to
        clone the respository and use the master branch instead.
        
        
        Documentation and Examples.
        ----------------------------------
        
        .. _readthedocs: https://paragami.readthedocs.io/
        
        For examples and API documentation, see readthedocs_.
        
        Alternatively, check out the repo and run ``make html`` in ``docs/``.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Topic :: Scientific/Engineering :: Mathematics
