Metadata-Version: 1.1
Name: wechinelearn
Version: 0.0.1
Summary: Weather data based machine learning R&D framework
Home-page: https://github.com/MacHu-GWU/wechinelearn-project
Author: Sanhe Hu
Author-email: husanhe@gmail.com
License: MIT
Download-URL: https://github.com/MacHu-GWU/wechinelearn-project/tarball/2016-09-12
Description: .. image:: https://travis-ci.org/MacHu-GWU/wechinelearn-project.svg?branch=master

        

        .. image:: https://img.shields.io/pypi/v/wechinelearn.svg

        

        .. image:: https://img.shields.io/pypi/l/wechinelearn.svg

        

        .. image:: https://img.shields.io/pypi/pyversions/wechinelearn.svg

        

        

        Welcome to wechinelearn Documentation

        ===============================================================================

        ``wechinelearn`` is a Weather data based machine learning R&D framework. Basically, if you want to use weather data to build a classification/prediction model, this framework could help.

        

        The first major problem in model R&D is handling big dataset. ``wechinelearn`` can use any relational database as back-end, and easy to extend for adding more data or data point. Using database can greatly reduce the average time cost for trying your idea.

        

        Your target object, could be a user, a region or anything associated with local weather by location. One major problem ``wechinelearn`` solved is finding best weather data for your target, and also takes `missing data points`, `unreliable data points`, `multiple data source choice` into account.

        

        

        **Quick Links**

        -------------------------------------------------------------------------------

        - `GitHub Homepage <https://github.com/MacHu-GWU/wechinelearn-project>`_

        - `Online Documentation <http://pythonhosted.org/wechinelearn>`_

        - `PyPI download <https://pypi.python.org/pypi/wechinelearn>`_

        - `Install <install_>`_

        - `Issue submit and feature request <https://github.com/MacHu-GWU/wechinelearn-project/issues>`_

        - `API reference and source code <http://pythonhosted.org/wechinelearn/py-modindex.html>`_

        

        

        .. _install:

        

        Install

        -------------------------------------------------------------------------------

        

        ``wechinelearn`` is released on PyPI, so all you need is:

        

        .. code-block:: console

        

        	$ pip install wechinelearn

        

        To upgrade to latest version:

        

        .. code-block:: console

        

        	$ pip install --upgrade wechinelearn

        

        If you have problem with installing ``numpy`` in Windows, download the compiled wheel file `here <http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy>`_, and install it with pip.
Platform: Windows
Platform: MacOS
Platform: Unix
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: MacOS
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
