{ "info": { "author": "", "author_email": "", "bugtrack_url": null, "classifiers": [], "description": "pyAnno 2.0 with 2to3 applied\n\nThis copy is made thanks to the BSD license of pyanno\n\npyAnno 2.0\n=====================================================\n\npyAnno 2.0 is a Python library for the analysis and\ndiagnostic testing of annotation and curation\nefforts. pyAnno implements statistical models for\ninferring from categorical data annotated by multiple\nannotators\n\n * annotator accuracies and biases,\n * gold standard categories of items,\n * prevalence of categories in population, and\n * population distribution of annotator accuracies\n and biases.\n\nThe models include a generalization of Dawid and\nSkene's (1979) multinomial model with Dirichlet\npriors on prevalence and estimator accuracy, and\nthe two models introduces in Rzhetsky et al.'s (2009).\nThe implementation allows Maximum Likelihood and\nMaximum A Posteriori estimation of parameters,\nand to draw samples from the full posterior\ndistribution over annotator accuracy.\n\n\nLICENSING\n-----------------------------------------------------\npyAnno is licensed under a modified BSD license\n(2-clause). For more information, see\n\n LICENSE.txt\n\n\nDOCUMENTATION\n-----------------------------------------------------\nThe documentation is hosted at\nhttp://docs.enthought.com/uchicago-pyanno/ .\n\n\nCONTRIBUTORS\n------------------------------------------------------------\n* Pietro Berkes (Enthought, Ltd.)\n* Bob Carpenter (Columbia University, Statistics)\n* Andrey Rzhetsky (University of Chicago, Medicine)\n* James Evans (University of Chicago, Sociology)\n", "description_content_type": null, "docs_url": null, "download_url": "https://github.com/reidmcy/uchicago-pyanno/archive/0.1.tar.gz", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/reidmcy/uchicago-pyanno", "keywords": "", "license": "BSD", "maintainer": "", "maintainer_email": "", "name": "pyanno3", "package_url": "https://pypi.org/project/pyanno3/", "platform": "Any", "project_url": "https://pypi.org/project/pyanno3/", "project_urls": { "Download": "https://github.com/reidmcy/uchicago-pyanno/archive/0.1.tar.gz", "Homepage": "https://github.com/reidmcy/uchicago-pyanno" }, "release_url": "https://pypi.org/project/pyanno3/2.0.2/", "requires_dist": null, "requires_python": "", "summary": "Package for curating data annotation efforts.", "version": "2.0.2" }, "last_serial": 2608925, "releases": { "2.0.2": [ { "comment_text": "", "digests": { "md5": "f0f3d405cf00889b192a6ef8e0202f75", "sha256": "cc34bda34b9ce96f5ceff17fce624cbf10246b0df32ed0ca0871be577f03a77d" }, "downloads": -1, "filename": "pyanno3-2.0.2.tar.gz", "has_sig": false, "md5_digest": "f0f3d405cf00889b192a6ef8e0202f75", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 76791, "upload_time": "2017-01-31T11:15:27", "url": "https://files.pythonhosted.org/packages/c5/1a/ee2b136ea0283adb2a9302c29594127f84b6e34cb0b02b91c63bed0a534b/pyanno3-2.0.2.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "f0f3d405cf00889b192a6ef8e0202f75", "sha256": "cc34bda34b9ce96f5ceff17fce624cbf10246b0df32ed0ca0871be577f03a77d" }, "downloads": -1, "filename": "pyanno3-2.0.2.tar.gz", "has_sig": false, "md5_digest": "f0f3d405cf00889b192a6ef8e0202f75", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 76791, "upload_time": "2017-01-31T11:15:27", "url": "https://files.pythonhosted.org/packages/c5/1a/ee2b136ea0283adb2a9302c29594127f84b6e34cb0b02b91c63bed0a534b/pyanno3-2.0.2.tar.gz" } ] }