{ "info": { "author": "Matthew Rocklin", "author_email": "mrocklin@gmail.com", "bugtrack_url": null, "classifiers": [], "description": "Multivariate Polynomial Fit\n===========================\n\nHolds a python function to perform multivariate polynomial regression in Python\nusing NumPy\n\n[See related question on\nstackoverflow](http://stackoverflow.com/questions/10988082/multivariate-polynomial-regression-with-numpy)\n\nThis is similar to numpy's polyfit function but works on multiple covariates\n\nOrigin\n------\n\nThis code originated from the following question on StackOverflow\n\n[http://stackoverflow.com/questions/10988082/multivariate-polynomial-regression-with-numpy](http://stackoverflow.com/questions/10988082/multivariate-polynomial-regression-with-numpy)\n\nAuthor\n------\n\n[Matthew Rocklin](http://matthewrocklin.com)\n\nLicense\n-------\n\nNew BSD license. See LICENSE.txt\n\nDisclaimer\n----------\n\nThis is not commonly used method. \nProbably you should look into some sort of L1 regularization.", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "http://github.com/mrocklin/multipolyfit", "keywords": null, "license": "BSD", "maintainer": null, "maintainer_email": null, "name": "multipolyfit", "package_url": "https://pypi.org/project/multipolyfit/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/multipolyfit/", "project_urls": { "Download": "UNKNOWN", "Homepage": "http://github.com/mrocklin/multipolyfit" }, "release_url": "https://pypi.org/project/multipolyfit/0.0.1/", "requires_dist": null, "requires_python": null, "summary": "Multivariate Polynomial fitting with NumPy", "version": "0.0.1" }, "last_serial": 795088, "releases": { "0.0.1": [ { "comment_text": "", "digests": { "md5": "55872f10558df7fa04af3fbb189c6a34", "sha256": "c2f32a737dc9f4fc7b48e4e2db7cc464e02a64c9df05617844f3b0376477a9c1" }, "downloads": -1, "filename": "multipolyfit-0.0.1.tar.gz", "has_sig": false, "md5_digest": "55872f10558df7fa04af3fbb189c6a34", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 2520, "upload_time": "2013-04-30T20:52:16", "url": "https://files.pythonhosted.org/packages/ab/81/ec8d2f4a11e5131b45059f7664338defb531de346bebc51330a625ba59b1/multipolyfit-0.0.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "55872f10558df7fa04af3fbb189c6a34", "sha256": "c2f32a737dc9f4fc7b48e4e2db7cc464e02a64c9df05617844f3b0376477a9c1" }, "downloads": -1, "filename": "multipolyfit-0.0.1.tar.gz", "has_sig": false, "md5_digest": "55872f10558df7fa04af3fbb189c6a34", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 2520, "upload_time": "2013-04-30T20:52:16", "url": "https://files.pythonhosted.org/packages/ab/81/ec8d2f4a11e5131b45059f7664338defb531de346bebc51330a625ba59b1/multipolyfit-0.0.1.tar.gz" } ] }