{ "info": { "author": "blester125", "author_email": "blester125@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Environment :: Console", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Programming Language :: Python :: 3 :: Only", "Topic :: Scientific/Engineering" ], "description": "# CUR Decomposition\n\n[\"Build](https://travis-ci.com/blester125/CUR_Decomposition)\n\nCUR Decomposition as described in [Mining of Massive Datasets](http://www.mmds.org/), page 406.\n\nCurrently it only works with Numpy arrays but the point of CUR is to keep C and R sparse if M is sparse so I plan to add support for Scipy Sparse arrays.\n\n### Usage\n\n```\nM = np.array([ ... ])\nr = int\nfrom cur import cur_decomposition\nC, U, R = cur_decomposition(M, r)\n```", "description_content_type": "text/markdown", "docs_url": null, "download_url": "https://github.com/blester125/cur/archive/0.0.1.tar.gz", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/blester125/cur", "keywords": "", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "cur", "package_url": "https://pypi.org/project/cur/", "platform": "", "project_url": "https://pypi.org/project/cur/", "project_urls": { "Download": "https://github.com/blester125/cur/archive/0.0.1.tar.gz", "Homepage": "https://github.com/blester125/cur" }, "release_url": "https://pypi.org/project/cur/0.0.1/", "requires_dist": null, "requires_python": ">=3.6", "summary": "CUR Decomposition", "version": "0.0.1" }, "last_serial": 4041989, "releases": { "0.0.0": [ { "comment_text": "", "digests": { "md5": "c4581ab2d76ed57913d06f4dc7ade1cb", "sha256": "c3a692c3500e9f16b98c481541d28a312fc378514a71fa21961a16bde9f05987" }, "downloads": -1, "filename": "cur-0.0.0.tar.gz", "has_sig": false, "md5_digest": "c4581ab2d76ed57913d06f4dc7ade1cb", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.6", "size": 1758, "upload_time": "2018-07-07T14:02:09", "url": "https://files.pythonhosted.org/packages/db/6e/59c01163a1c0def7dbafbe34d0e1c321c0896d848e9e1a1a419648a64c37/cur-0.0.0.tar.gz" } ], "0.0.1": [ { "comment_text": "", "digests": { "md5": "a0363367d0354f90e97891c815d3b283", "sha256": "68097b95327e7e5faade7e2f52abc02e18f7fc05e35f665d5a6bbff9dd62bfa2" }, "downloads": -1, "filename": "cur-0.0.1.tar.gz", "has_sig": false, "md5_digest": "a0363367d0354f90e97891c815d3b283", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.6", "size": 2844, "upload_time": "2018-07-09T01:09:10", "url": "https://files.pythonhosted.org/packages/c9/29/c0f5c82060c685e8df0e74d2ba6568d63d750fdf421dfa84828a28650c86/cur-0.0.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "a0363367d0354f90e97891c815d3b283", "sha256": "68097b95327e7e5faade7e2f52abc02e18f7fc05e35f665d5a6bbff9dd62bfa2" }, "downloads": -1, "filename": "cur-0.0.1.tar.gz", "has_sig": false, "md5_digest": "a0363367d0354f90e97891c815d3b283", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.6", "size": 2844, "upload_time": "2018-07-09T01:09:10", "url": "https://files.pythonhosted.org/packages/c9/29/c0f5c82060c685e8df0e74d2ba6568d63d750fdf421dfa84828a28650c86/cur-0.0.1.tar.gz" } ] }