{ "info": { "author": "Geoffrey Kasenbacher", "author_email": "gkasenbacher@gmail.com", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3" ], "description": "![Kiku](Images/spongegar.png)\n\n# cavemanstats!\n\nUnnecessarily slow, brute-force search method for highest R^2 of (specified or unspecified) Linear Regression Models. \n\n## Getting Started\n\nThese instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.\n\n### Prerequisites\n\nWhat things you need to install the software and how to install them\n\n```\nGive examples\n```\n\n### Installing\n\nA step by step series of examples that tell you how to get a development env running\n\nSay what the step will be\n\n```\npip install cavemanstats\n```\nEnd with an example of getting some data out of the system or using it for a little demo\n\n## Built With\n\n* [Dropwizard](http://www.dropwizard.io/1.0.2/docs/) - The web framework used\n* [Maven](https://maven.apache.org/) - Dependency Management\n* [ROME](https://rometools.github.io/rome/) - Used to generate RSS Feeds\n\n## Authors\n\n* **Geoffrey Kasenbacher** - *Initial work* - [PurpleBooth](https://github.com/kgeoffrey)\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details\n\n## Acknowledgments\n\n* This is a spawn of the frustration caused by the R-Package leaps\n* Tip my fedora to the ascii art creators\n\n\n", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/kgeoffrey/cavemanstats", "keywords": "", "license": "", "maintainer": "", "maintainer_email": "", "name": "caveman-stats", "package_url": "https://pypi.org/project/caveman-stats/", "platform": "", "project_url": "https://pypi.org/project/caveman-stats/", "project_urls": { "Homepage": "https://github.com/kgeoffrey/cavemanstats" }, "release_url": "https://pypi.org/project/caveman-stats/0.1/", "requires_dist": [ "numpy", "pandas", "scikit-learn", "tabulate", "scipy" ], "requires_python": "", "summary": "Brute force, Exhaustive-Search for best R^2 in Linear Regression Models", "version": "0.1" }, "last_serial": 4130106, "releases": { "0.1": [ { "comment_text": "", "digests": { "md5": "4d7f7f736da9ac4c69923cae00e36cbf", "sha256": "0694b693ca7692e709bc64019bdd7422f33bf7123d189b2fbca51a5e8669414f" }, "downloads": -1, "filename": "caveman_stats-0.1-py3-none-any.whl", "has_sig": false, "md5_digest": "4d7f7f736da9ac4c69923cae00e36cbf", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 1942, "upload_time": "2018-08-02T20:16:35", "url": "https://files.pythonhosted.org/packages/3b/f1/a4dc6552e980bb826446a0dc3d40e3a8523fdb1c1a12754cb766ad14d79d/caveman_stats-0.1-py3-none-any.whl" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "4d7f7f736da9ac4c69923cae00e36cbf", "sha256": "0694b693ca7692e709bc64019bdd7422f33bf7123d189b2fbca51a5e8669414f" }, "downloads": -1, "filename": "caveman_stats-0.1-py3-none-any.whl", "has_sig": false, "md5_digest": "4d7f7f736da9ac4c69923cae00e36cbf", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 1942, "upload_time": "2018-08-02T20:16:35", "url": "https://files.pythonhosted.org/packages/3b/f1/a4dc6552e980bb826446a0dc3d40e3a8523fdb1c1a12754cb766ad14d79d/caveman_stats-0.1-py3-none-any.whl" } ] }