{ "info": { "author": "", "author_email": "", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: OSI Approved :: BSD License", "Natural Language :: English", "Operating System :: OS Independent", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Topic :: Scientific/Engineering :: Mathematics", "Topic :: Software Development :: Libraries :: Python Modules" ], "description": "Functional Data Analysis, or FDA, is the field of Statistics that analyses\ndata that depend on a continuous parameter.\n\nThis package offers classes, methods and functions to give support to FDA\nin Python. Includes a wide range of utils to work with functional data, and its\nrepresentation, exploratory analysis, or preprocessing, among other tasks\nsuch as inference, classification, regression or clustering of functional data.\nSee documentation or visit the\n`github page `_ of the project for\nfurther information on the features included in the package.\n\nThe documentation is available at\n`fda.readthedocs.io/en/stable/ `_, which\nincludes detailed information of the different modules, classes and methods of\nthe package, along with several examples showing different funcionalities.", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://fda.readthedocs.io", "keywords": "", "license": "BSD", "maintainer": "Carlos Ramos Carre\u00f1o", "maintainer_email": "vnmabus@gmail.com", "name": "scikit-fda", "package_url": "https://pypi.org/project/scikit-fda/", "platform": "any", "project_url": "https://pypi.org/project/scikit-fda/", "project_urls": { "Homepage": "https://fda.readthedocs.io" }, "release_url": "https://pypi.org/project/scikit-fda/0.3/", "requires_dist": null, "requires_python": ">=3.6, <4", "summary": "Functional Data Analysis Python package.", "version": "0.3" }, "last_serial": 5913739, "releases": { "0.2": [ { "comment_text": "", "digests": { "md5": "83439f9c949651ac6b6b52b26d745b5b", "sha256": "1a4c8ab7826fae9f78cd8edfbe5df20867208123f2af62d534d192d3c483233b" }, "downloads": -1, "filename": "scikit-fda-0.2.tar.gz", "has_sig": false, "md5_digest": "83439f9c949651ac6b6b52b26d745b5b", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.6, <4", "size": 186791, "upload_time": "2019-05-19T23:19:56", "url": "https://files.pythonhosted.org/packages/52/3b/f117b85c83b3ca69ed0603809a66876654af85f5d319daaec581f8b6e165/scikit-fda-0.2.tar.gz" } ], "0.2.1": [ { "comment_text": "", "digests": { "md5": "3688386fd1c3e1ebed00ccaa2928e0aa", "sha256": "a8d815cec5b6f15af9db7bde858afbf9d9df6517bdf214ecde2c54c174a5846f" }, "downloads": -1, "filename": "scikit-fda-0.2.1.tar.gz", "has_sig": false, "md5_digest": "3688386fd1c3e1ebed00ccaa2928e0aa", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.6, <4", "size": 188097, "upload_time": "2019-05-19T23:53:37", "url": "https://files.pythonhosted.org/packages/e4/13/3a8466e47b1d79354d7a7723d4db2163a28d2508f1b2ac934b77dfe955cd/scikit-fda-0.2.1.tar.gz" } ], "0.2.2": [ { "comment_text": "", "digests": { "md5": "a4302f3876ef3260db39492b7feb9c0d", "sha256": "78d967857718230998a296ab9990c8b4a4d630bebd5213879e8bc831a87fea5f" }, "downloads": -1, "filename": "scikit-fda-0.2.2.tar.gz", "has_sig": false, "md5_digest": "a4302f3876ef3260db39492b7feb9c0d", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.6, <4", "size": 191495, "upload_time": "2019-05-20T00:11:54", "url": "https://files.pythonhosted.org/packages/be/1c/ffa1fafaa2b8672394bffa2e50b26df94777e55dce3d16fca944462c55f8/scikit-fda-0.2.2.tar.gz" } ], "0.2.3": [ { "comment_text": "", "digests": { "md5": "8aa5ff660ae6a245c261688f9cfbbb99", "sha256": "f42af721a1e49cc6754b7e946596ac1cd783126364f707d31b6ead1458a0a8fb" }, "downloads": -1, "filename": "scikit-fda-0.2.3.tar.gz", "has_sig": false, "md5_digest": "8aa5ff660ae6a245c261688f9cfbbb99", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.6, <4", "size": 191506, "upload_time": "2019-05-20T08:19:33", "url": "https://files.pythonhosted.org/packages/d5/98/9304b217ac4bf2ca1ccecfdf6e8cfcee8bb88377dbfd0e0dc5dd63aeeba4/scikit-fda-0.2.3.tar.gz" } ], "0.3": [ { "comment_text": "", "digests": { "md5": "307b6a2448639e5862a376ae5f966b91", "sha256": "4e557b7a522b51f4b93cb607c2e960fafbe4c61b66769b32bea8b4d3290be8ba" }, "downloads": -1, "filename": "scikit-fda-0.3.tar.gz", "has_sig": false, "md5_digest": "307b6a2448639e5862a376ae5f966b91", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.6, <4", "size": 230844, "upload_time": "2019-10-01T17:00:17", "url": "https://files.pythonhosted.org/packages/56/51/f80a6b6bf6220c35141517a3e7c7db2ff408a8d652ca06d2970610bb407a/scikit-fda-0.3.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "307b6a2448639e5862a376ae5f966b91", "sha256": "4e557b7a522b51f4b93cb607c2e960fafbe4c61b66769b32bea8b4d3290be8ba" }, "downloads": -1, "filename": "scikit-fda-0.3.tar.gz", "has_sig": false, "md5_digest": "307b6a2448639e5862a376ae5f966b91", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.6, <4", "size": 230844, "upload_time": "2019-10-01T17:00:17", "url": "https://files.pythonhosted.org/packages/56/51/f80a6b6bf6220c35141517a3e7c7db2ff408a8d652ca06d2970610bb407a/scikit-fda-0.3.tar.gz" } ] }