Metadata-Version: 1.1
Name: paragami
Version: 0.32
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)](https://travis-ci.org/rgiordan/paragami)
        [![image](https://codecov.io/gh/rgiordan/paragami/branch/master/graph/badge.svg)](https://codecov.io/gh/rgiordan/paragami)
        
        ## Description.
        
        Parameter folding and flattening, parameter origami: `paragami`\*!
        
        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.
        
        For examples and API documentation, see
        [readthedocs](https://paragami.readthedocs.io/).
        
        Alternatively, check out the repo and run `make html` in `docs/`.
        
        \*  Thanks to Stéfan van der Walt for the suggesting the package name.
        
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
