{ "info": { "author": "Sanhe Hu", "author_email": "husanhe@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Operating System :: MacOS", "Operating System :: Microsoft :: Windows", "Operating System :: Unix", "Programming Language :: Python", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5" ], "description": ".. image:: https://travis-ci.org/MacHu-GWU/wechinelearn-project.svg?branch=master\r\n\r\n.. image:: https://img.shields.io/pypi/v/wechinelearn.svg\r\n\r\n.. image:: https://img.shields.io/pypi/l/wechinelearn.svg\r\n\r\n.. image:: https://img.shields.io/pypi/pyversions/wechinelearn.svg\r\n\r\n\r\nWelcome to wechinelearn Documentation\r\n===============================================================================\r\n``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.\r\n\r\nThe 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.\r\n\r\nYour 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.\r\n\r\n\r\n**Quick Links**\r\n-------------------------------------------------------------------------------\r\n- `GitHub Homepage `_\r\n- `Online Documentation `_\r\n- `PyPI download `_\r\n- `Install `_\r\n- `Issue submit and feature request `_\r\n- `API reference and source code `_\r\n\r\n\r\n.. _install:\r\n\r\nInstall\r\n-------------------------------------------------------------------------------\r\n\r\n``wechinelearn`` is released on PyPI, so all you need is:\r\n\r\n.. code-block:: console\r\n\r\n\t$ pip install wechinelearn\r\n\r\nTo upgrade to latest version:\r\n\r\n.. code-block:: console\r\n\r\n\t$ pip install --upgrade wechinelearn\r\n\r\nIf you have problem with installing ``numpy`` in Windows, download the compiled wheel file `here `_, and install it with pip.", "description_content_type": null, "docs_url": "https://pythonhosted.org/wechinelearn/", "download_url": "https://github.com/MacHu-GWU/wechinelearn-project/tarball/2016-09-12", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/MacHu-GWU/wechinelearn-project", "keywords": null, "license": "MIT", "maintainer": null, "maintainer_email": null, "name": "wechinelearn", "package_url": "https://pypi.org/project/wechinelearn/", "platform": "Windows,MacOS,Unix", "project_url": "https://pypi.org/project/wechinelearn/", "project_urls": { "Download": "https://github.com/MacHu-GWU/wechinelearn-project/tarball/2016-09-12", "Homepage": "https://github.com/MacHu-GWU/wechinelearn-project" }, "release_url": "https://pypi.org/project/wechinelearn/0.0.1/", "requires_dist": null, "requires_python": null, "summary": "Weather data based machine learning R&D framework", "version": "0.0.1" }, "last_serial": 2339131, "releases": { "0.0.1": [ { "comment_text": "", "digests": { "md5": "e4f97801c26d48aac69e41155b3c02bb", "sha256": "2bb53d4284a0c371eedf52f6063b58644ff7a320ea8981d52460696a8cd0f7ee" }, "downloads": -1, "filename": "wechinelearn-0.0.1.zip", "has_sig": false, "md5_digest": "e4f97801c26d48aac69e41155b3c02bb", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 17553, "upload_time": "2016-09-12T23:10:17", "url": "https://files.pythonhosted.org/packages/57/60/a95743aaba252840428fb41aa6469aa80805f4c9924127461bf390b186c7/wechinelearn-0.0.1.zip" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "e4f97801c26d48aac69e41155b3c02bb", "sha256": "2bb53d4284a0c371eedf52f6063b58644ff7a320ea8981d52460696a8cd0f7ee" }, "downloads": -1, "filename": "wechinelearn-0.0.1.zip", "has_sig": false, "md5_digest": "e4f97801c26d48aac69e41155b3c02bb", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 17553, "upload_time": "2016-09-12T23:10:17", "url": "https://files.pythonhosted.org/packages/57/60/a95743aaba252840428fb41aa6469aa80805f4c9924127461bf390b186c7/wechinelearn-0.0.1.zip" } ] }