{ "info": { "author": "Mat Kallada", "author_email": "matkallada@gmail.com", "bugtrack_url": null, "classifiers": [], "description": "# SBBClassifier\nVX: Python implementation of **Symbiotic Bid-Based (SBB)** framework for problem decomposition using Genetic Programming (GP). Algorithm developed by the NIMS laboratory, Dalhousie University, Canada. This implementation can be used as a library to apply GP to classification tasks.\n\n## 1. References\n**PhD Thesis**\n\nLichodzijewski, P. (2011) A Symbiotic Bid-Based (SBB) framework for problem decomposition using Genetic Programming, PhD Thesis ([link](http://web.cs.dal.ca/~mheywood/Thesis/PLichodzijewski.pdf))\n\n## 2. How to Run\n\nTo run this algorithm in Python:\n```\nfrom vx.SBB.sbb import SBB\nfrom vx.SBB.config import Config\n\nif __name__ == \"__main__\":\n Config.check_parameters()\n SBB().run()\n```\n\nAll configurable options are in the SBB/config.py file, in the variable CONFIG.", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://pypi.org/project/vx/", "keywords": "machine learning,genetic programming,example", "license": "", "maintainer": "", "maintainer_email": "", "name": "vx", "package_url": "https://pypi.org/project/vx/", "platform": "", "project_url": "https://pypi.org/project/vx/", "project_urls": { "Homepage": "https://pypi.org/project/vx/" }, "release_url": "https://pypi.org/project/vx/0.1.3/", "requires_dist": null, "requires_python": "", "summary": "Python implementation of the SBB genetic programming algorithm for classification tasks (library).", "version": "0.1.3" }, "last_serial": 4451685, "releases": { "0.1.2": [ { "comment_text": "", "digests": { "md5": "d90566b40c6b7ca4a7a2f41497c509f8", "sha256": "6cc7d0991359376d2257871c2015bcb72ade3bdee38f513182b7cdf5ffde1321" }, "downloads": -1, "filename": "vx-0.1.2.tar.gz", "has_sig": false, "md5_digest": "d90566b40c6b7ca4a7a2f41497c509f8", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 783, "upload_time": "2018-11-05T05:33:51", "url": "https://files.pythonhosted.org/packages/2d/5e/5728d469363f5851bd32d618c006db8fa03cd72909e6c823413ceff931fe/vx-0.1.2.tar.gz" } ], "0.1.3": [ { "comment_text": "", "digests": { "md5": "3773da419ffc1ad1a82cc179d1999a7a", "sha256": "e3ce8cd3297755d7f05d2bb0fc8c8a2cf95d00be0620fba266dc1a546b9543aa" }, "downloads": -1, "filename": "vx-0.1.3.tar.gz", "has_sig": false, "md5_digest": "3773da419ffc1ad1a82cc179d1999a7a", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1634, "upload_time": "2018-11-05T06:20:58", "url": "https://files.pythonhosted.org/packages/55/7d/05748dfd3f31e63d389bbe832b201605135e1f2b97681d9736e233a97fba/vx-0.1.3.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "3773da419ffc1ad1a82cc179d1999a7a", "sha256": "e3ce8cd3297755d7f05d2bb0fc8c8a2cf95d00be0620fba266dc1a546b9543aa" }, "downloads": -1, "filename": "vx-0.1.3.tar.gz", "has_sig": false, "md5_digest": "3773da419ffc1ad1a82cc179d1999a7a", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1634, "upload_time": "2018-11-05T06:20:58", "url": "https://files.pythonhosted.org/packages/55/7d/05748dfd3f31e63d389bbe832b201605135e1f2b97681d9736e233a97fba/vx-0.1.3.tar.gz" } ] }