Metadata-Version: 1.1
Name: predeval
Version: 0.0.6
Summary: Identify changes in model outputs at prediction time.
Home-page: https://github.com/dvatterott/predeval
Author: Dan Vatterott
Author-email: dvatterott@gmail.com
License: MIT license
Description: ========
        predeval
        ========
        
        
        .. image:: https://img.shields.io/pypi/v/predeval.svg
                :target: https://pypi.python.org/pypi/predeval
        
        .. image:: https://img.shields.io/travis/dvatterott/predeval.svg
                :target: https://travis-ci.org/dvatterott/predeval
        
        .. |appveyor| image:: https://ci.appveyor.com/api/projects/status/github/dvatterott/predeval?branch=master&svg=true
            :alt: AppVeyor Build Status
            :target: https://ci.appveyor.com/project/dvatterott/predeval
        
        .. image:: https://readthedocs.org/projects/predeval/badge/?version=latest
                :target: https://predeval.readthedocs.io/en/latest/?badge=latest
                :alt: Documentation Status
        
        .. image:: https://codecov.io/gh/dvatterott/predeval/branch/master/graph/badge.svg
          :target: https://codecov.io/gh/dvatterott/predeval
        
        .. image:: https://pyup.io/repos/github/dvatterott/predeval/shield.svg
             :target: https://pyup.io/repos/github/dvatterott/predeval/
             :alt: Updates
        
        .. |supported-versions| image:: https://img.shields.io/pypi/pyversions/predeval.svg
           :alt: Supported versions
           :target: https://pypi.python.org/pypi/predeval
        
        
        This software is built to identify changes in a model output before evaluation data becomes available.
        
        For example, if you create a churn model, you will have to wait X number of weeks before learning whether users churned (and can evaluate your churn model predictions).
        
        This software will not guarantee that your model is accurate, but it will alert you if your model's outputs (i.e., predictions) are different from what they have been in the past. A model's output can pass predeval tests and be inaccurate and a model's output can fail predeval and be accurate. That said, unexpected changes in model outputs likely represent a change in accuracy.
        
        
        * Free software: MIT license
        * Documentation: https://predeval.readthedocs.io.
        
        Installation
        -------
        
        Installation is described here: https://predeval.readthedocs.io/en/latest/installation.html
        
        Example Usage
        -------
        
        Examples can be found here: https://predeval.readthedocs.io/en/latest/usage.html
        
        
        API Documentation
        -------
        
        Documentation of the software can be found here: https://predeval.readthedocs.io/en/latest/api.html
        
        Contributing
        -------
        
        Info about contributing can be found here: https://predeval.readthedocs.io/en/latest/contributing.html
        
        Changelog
        -------
        
        Changelog can be found here: https://predeval.readthedocs.io/en/latest/history.html
        
        Credits
        -------
        
        Info about contributors can be found here: https://predeval.readthedocs.io/en/latest/authors.html
        
        This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.
        
        .. _Cookiecutter: https://github.com/audreyr/cookiecutter
        .. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
        
        
        =======
        History
        =======
        
        0.0.1 (2019-01-06)
        ------------------
        
        * First release on PyPI.
        
        0.0.2 (2019-01-06)
        ------------------
        
        * Adding pypi deploy to travis.
        
        0.0.3 (2019-01-06)
        ------------------
        
        * Only one travis version publishes to pypi.
        
Keywords: predeval
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
