Metadata-Version: 2.0
Name: easypredict
Version: 0.0.1
Summary: generic predictive framework to evaluate predictive power of arbitrary feature to target mapping
Home-page: https://github.com/raamana/easypredict
Author: Pradeep Reddy Raamana
Author-email: raamana@gmail.com
License: Apache Software License 2.0
Keywords: easypredict
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software 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

===========
easypredict
===========


.. image:: https://img.shields.io/pypi/v/easypredict.svg
        :target: https://pypi.python.org/pypi/easypredict

.. image:: https://img.shields.io/travis/raamana/easypredict.svg
        :target: https://travis-ci.org/raamana/easypredict

.. image:: https://readthedocs.org/projects/easypredict/badge/?version=latest
        :target: https://easypredict.readthedocs.io/en/latest/?badge=latest
        :alt: Documentation Status




generic predictive framework to evaluate predictive power of arbitrary feature to target mapping


* Free software: Apache Software License 2.0
* Documentation: https://easypredict.readthedocs.io.


Features
--------

* TODO

Credits
-------

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 (2018-05-16)
------------------

* First release on PyPI.


