{ "info": { "author": "MITHAGI", "author_email": "skdaccess@mit.edu", "bugtrack_url": null, "classifiers": [ "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3 :: Only", "Topic :: Scientific/Engineering" ], "description": "

\n \"Scikit\n

\n\n- Explore scientific data with a set of tools for human-guided or automated discovery\n- Design & configure data processing pipelines\n- Define the parameter ranges for your algorithms, available algorithmic choices, and the framework will generate pipeline instances for you \n- Use automatically perturbed data processing pipelines to create different data products.\n- Easy to use with [scikit-dataaccess](https://github.com/MITHaystack/scikit-dataaccess) for integration of a variety of scientific data sets\n\n\n

\n \"Scikit\n

\n\n### Install\n```\npip install scikit-discovery\n```\n\n### Documentation\n\nSee \n\n### Contributors\n\nProject lead: [Victor Pankratius (MIT)](http://www.victorpankratius.com)
\nContributors: Cody M. Rude, Justin D. Li, David M. Blair, Michael G. Gowanlock, Evan Wojciechowski, Victor Pankratius\n\n### Acknowledgements\n\nWe acknowledge support from NASA AIST14-NNX15AG84G, NASA AIST16-80NSSC17K0125, NSF ACI-1442997, NSF AGS-1343967, and Amazon AWS computing access support.\n\n## Examples\n\nExample code with complete science case studies are available as Jupyter Notebooks at: \n\n[/MITHaystack/science-casestudies](https://github.com/MITHaystack/science-casestudies)", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/MITHaystack/scikit-discovery", "keywords": "", "license": "", "maintainer": "", "maintainer_email": "", "name": "scikit-discovery", "package_url": "https://pypi.org/project/scikit-discovery/", "platform": "", "project_url": "https://pypi.org/project/scikit-discovery/", "project_urls": { "Homepage": "https://github.com/MITHaystack/scikit-discovery" }, "release_url": 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