{ "info": { "author": "Mark Zhou", "author_email": "zhouyao0808@gmail.com", "bugtrack_url": null, "classifiers": [], "description": "# MLCLAS\nMLCLAS is a Python module for multi-label classification built on Scipy.\n\nThe project is built during my graduation project for bachelor's degree.\n\n## Dependencies\nMLCLAS is tested to work under Python 3.5, and on the systems of OS X and Linux.\n\nIt is promised to work as intended with these pakages:\n\n- NumPy >= 1.10\n\n- SciPy >= 0.17.0\n\n- scikit-learn >= 0.17.0\n\n- cvxpy >= 0.4.0\n\nLower version of dependencies may cause unexpected problems, so it is strongly recommended to update these packages.\n\n## Documentation\nThe functions provided by this library is quite concise. You may view the examples in the `examples` folder for reference.\n\nIf you are reading this from Pypi, please visit github page to download the `examples` folder.\n\n", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/markzy/multi-label-classification", "keywords": "multi label classification", "license": "MIT", "maintainer": null, "maintainer_email": null, "name": "MLCLAS", "package_url": "https://pypi.org/project/MLCLAS/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/MLCLAS/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/markzy/multi-label-classification" }, "release_url": "https://pypi.org/project/MLCLAS/0.0.3/", "requires_dist": null, "requires_python": null, "summary": "Multi-label classification algorithms implemented in Python", "version": "0.0.3" }, "last_serial": 2251471, "releases": { "0.0.2": [ { "comment_text": "", "digests": { "md5": "6b4d90fe168807d5d7b5d903134d18a9", "sha256": "ae5e8a8595009616c77a3e612d28f2ebb2b1a7c70b074bb118a5e9e1e377a755" }, "downloads": -1, "filename": "MLCLAS-0.0.2.tar.gz", "has_sig": false, "md5_digest": "6b4d90fe168807d5d7b5d903134d18a9", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 45486, "upload_time": "2016-07-29T04:21:31", "url": "https://files.pythonhosted.org/packages/11/ef/cff2b670aafe3db2924bb74bfc16c6a678feba1d214ff50d422c8b8f1e64/MLCLAS-0.0.2.tar.gz" } ], "0.0.3": [ { "comment_text": "", "digests": { "md5": "c60667857bb1bc65ff6d209f0770d8dd", "sha256": "f927a48d9b03efdbdbd2bfb346b93ad436060427e1cdf5670b6d9810758e24ca" }, "downloads": -1, "filename": "MLCLAS-0.0.3.tar.gz", "has_sig": false, "md5_digest": "c60667857bb1bc65ff6d209f0770d8dd", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 45525, "upload_time": "2016-07-29T15:10:07", "url": "https://files.pythonhosted.org/packages/7e/e7/5cf61c2b35f07c50fbe6847079277895857168903014de6ee7dc24c3fa1a/MLCLAS-0.0.3.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "c60667857bb1bc65ff6d209f0770d8dd", "sha256": "f927a48d9b03efdbdbd2bfb346b93ad436060427e1cdf5670b6d9810758e24ca" }, "downloads": -1, "filename": "MLCLAS-0.0.3.tar.gz", "has_sig": false, "md5_digest": "c60667857bb1bc65ff6d209f0770d8dd", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 45525, "upload_time": "2016-07-29T15:10:07", "url": "https://files.pythonhosted.org/packages/7e/e7/5cf61c2b35f07c50fbe6847079277895857168903014de6ee7dc24c3fa1a/MLCLAS-0.0.3.tar.gz" } ] }