{ "info": { "author": "Keiichi SHIMA", "author_email": "keiichi@iijlab.net", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Environment :: Console", "Intended Audience :: Information Technology", "Intended Audience :: Science/Research", "License :: OSI Approved :: BSD License", "Programming Language :: Python :: 2.7", "Topic :: Scientific/Engineering :: Information Analysis", "Topic :: Software Development :: Libraries :: Python Modules" ], "description": "# CPDAG Estimation using PC-Algorithm\n\n## Overview\n\nThis package provides functions to estimate a skeleton graph and a\ncompleted partially acyclic graph (CPDAG) from a data matrix that\ndescribes the appearance patterns of the graph nodes. The detailed\nalgorithm is written in [Kalisch2007].\n\n## Code\n\nThe source code is available at https://github.com/keiichishima/pcalg\n\n## Bug Reports\n\nPlease submit bug reports or patches through the GitHub interface.\n\n## Contributors\n\n- Satoru Kobayashi, https://github.com/cpflat\n- basilnsaeed, https://github.com/basilnsaeed\n- Dr. Georg M. Goerg\n\n## References\n\n[Kalisch2007] Markus Kalisch and Peter Bhlmann. Estimating\nhigh-dimensional directed acyclic graphs with the pc-algorithm. In The\nJournal of Machine Learning Research, Vol. 8, pp. 613-636, 2007.\n\n## Author\n\nKeiichi SHIMA\n/ IIJ Innovation Institute Inc.\n/ WIDE project", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/keiichishima/pcalg/", "keywords": "", "license": "BSD License", "maintainer": "", "maintainer_email": "", "name": "pcalg", "package_url": "https://pypi.org/project/pcalg/", "platform": "", "project_url": "https://pypi.org/project/pcalg/", "project_urls": { "Homepage": "https://github.com/keiichishima/pcalg/" }, "release_url": "https://pypi.org/project/pcalg/0.1.9/", "requires_dist": null, "requires_python": "", "summary": "CPDAG Estimation using PC-Algorithm", "version": "0.1.9" }, "last_serial": 4780689, "releases": { "0.1.1": [ { "comment_text": "", "digests": { "md5": "fe8d0e33fd7e1cf578ca19e0930df0ff", "sha256": 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