Metadata-Version: 1.1
Name: uncertainty_wrapper
Version: 0.2.1
Summary: Uncertainty wrapper using estimate Jacobian
Home-page: https://github.com/SunPower/UncertaintyWrapper
Author: Mark Mikofski
Author-email: mark.mikofski@sunpowercorp.com
License: UNKNOWN
Description: UncertaintyWrapper
        ==================
        
        Use ``@unc_wrapper`` decorator to wrap any Python callable to append the
        covariance and Jacobian matrices to the return values. See documentation and
        tests for usage and examples.
        
        Installation
        ------------
        
        Use ``pip install uncertainty_wrapper`` to install from
        `PyPI <https://pypi.python.org/pypi/uncertainty_wrapper>`_ or download a source
        distribution, extract and use ``python setup.py install``.
        
        Requirements
        ------------
        
        * `NumPy <http://www.numpy.org/>`_
        * `Nose <https://nose.readthedocs.org/en/latest/index.html>`_ for testing.
        * `Sphinx <http://www.sphinx-doc.org/en/stable/>`_ to build documentation.
        
        History
        -------
        
        `v0.2 <https://github.com/SunPower/UncertaintyWrapper/releases/tag/v0.2>`_ `Archean Eon <https://en.wikipedia.org/wiki/Archean>`_
        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
        
        Releases are named after
        `geological eons, periods and epochs <https://en.wikipedia.org/wiki/Geologic_time_scale>`_.
        
        * Fix nargs and nf order mixup in Jacobian
        * add more complex test
        * fix tile cov by nobs
        * move partial derivative to subfunction
        * try threading, but same speed, and would only work with NumPy anyway
        
        `v0.1 <https://github.com/SunPower/UncertaintyWrapper/releases/tag/v0.1>`_ `Hadean Eon <https://en.wikipedia.org/wiki/Hadean>`_
        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
        
        * adds covariance to output
        * allows __covariance__ to be passed as input
        * uses estimate Jacobian based on central finite difference method
        
Platform: UNKNOWN
Requires: numpy (>=1.8)
Requires: nose
Requires: sphinx
