{ "info": { "author": "Paul English", "author_email": "paulnglsh@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 2 - Pre-Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.6", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5" ], "description": "===============================\nPredictive Imputer\n===============================\n\n\n.. image:: https://img.shields.io/pypi/v/predictive_imputer.svg\n :target: https://pypi.python.org/pypi/predictive_imputer\n\n.. image:: https://img.shields.io/travis/log0ymxm/predictive_imputer.svg\n :target: https://travis-ci.org/log0ymxm/predictive_imputer\n\n.. image:: https://readthedocs.org/projects/predictive-imputer/badge/?version=latest\n :target: https://predictive-imputer.readthedocs.io/en/latest/?badge=latest\n :alt: Documentation Status\n\n.. image:: https://pyup.io/repos/github/log0ymxm/predictive_imputer/shield.svg\n :target: https://pyup.io/repos/github/log0ymxm/predictive_imputer/\n :alt: Updates\n\n\nPredictive imputation of missing values with sklearn interface. This is a simple implementation of the idea presented in the MissForest R package.\n\n\n* Free software: MIT license\n* Documentation: https://predictive-imputer.readthedocs.io.\n\n\nFeatures\n--------\n\n* Basic imputation using RandomForestRegressor\n\nCredits\n---------\n\nThis package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.\n\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\n\n\n\n=======\nHistory\n=======\n\n0.2.0 (2017-04-01)\n------------------\n\n* Add new models that can be used for imputation: KNN and PCA (@founderfan)\n* Add early stopping (@founderfan)\n\n0.1.0 (2016-11-28)\n------------------\n\n* First release on PyPI.\n", "description_content_type": null, "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/log0ymxm/predictive_imputer", "keywords": "predictive_imputer", "license": "MIT license", "maintainer": "", "maintainer_email": "", "name": "predictive_imputer", "package_url": "https://pypi.org/project/predictive_imputer/", "platform": "", "project_url": "https://pypi.org/project/predictive_imputer/", "project_urls": { "Homepage": "https://github.com/log0ymxm/predictive_imputer" }, "release_url": "https://pypi.org/project/predictive_imputer/0.2.0/", "requires_dist": null, "requires_python": "", "summary": "Predictive imputation of missing values with sklearn interface. This is a simple implementation of the idea presented in the MissForest R package.", "version": "0.2.0" }, "last_serial": 2746633, "releases": { "0.1.0": [ { "comment_text": "", "digests": { "md5": "e3568f548461a73e62387dadf8b53716", "sha256": "aa3a8e5ee5ecd9bb5d1214ea50787f5d0beac9cbfe065c7082124572cac75ebd" }, "downloads": -1, "filename": "predictive_imputer-0.1.0-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "e3568f548461a73e62387dadf8b53716", "packagetype": "bdist_wheel", "python_version": "2.7", "requires_python": null, "size": 4585, "upload_time": "2016-11-29T02:09:12", "url": "https://files.pythonhosted.org/packages/27/df/1adb9855da32d65ab28dfbca09da288bbc1af5e47d43cffb1b07a15f1246/predictive_imputer-0.1.0-py2.py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "31c9aff4755e5968bb123345402f8ea1", "sha256": "9257326765ffca4b03451eaf5f0f7f2a4a9ac330d84397f2bfb4c13a4ee77ffe" }, "downloads": -1, "filename": "predictive_imputer-0.1.0.tar.gz", "has_sig": false, "md5_digest": "31c9aff4755e5968bb123345402f8ea1", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 12067, "upload_time": "2016-11-29T02:09:08", "url": "https://files.pythonhosted.org/packages/c4/f2/b040b5ac01c0dfce2b616556850946c2685104b5d44e609ad3df5cc15606/predictive_imputer-0.1.0.tar.gz" } ], "0.2.0": [ { "comment_text": "", "digests": { "md5": "e77790bf81786609d5a01f1b0824b82b", "sha256": "616b151314b6f387ef6a0c325a48e8bcf70ec129474ec1c4cb918208443bca10" }, "downloads": -1, "filename": "predictive_imputer-0.2.0-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "e77790bf81786609d5a01f1b0824b82b", "packagetype": "bdist_wheel", "python_version": "3.5", "requires_python": null, "size": 5026, "upload_time": "2017-04-01T22:25:31", "url": "https://files.pythonhosted.org/packages/75/0b/f9303bd643fe9f0b3374f446a6c6bda229e4e1668942629cb3628bff63ea/predictive_imputer-0.2.0-py2.py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "35f0f439a51c77df1753e663c0acb4af", "sha256": "6487bebb0e7f82f85c12d5088a0457b57e1c37d419624779c321b032a39f3fe0" }, "downloads": -1, "filename": "predictive_imputer-0.2.0.tar.gz", "has_sig": false, "md5_digest": "35f0f439a51c77df1753e663c0acb4af", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 12478, "upload_time": "2017-04-01T22:25:29", "url": "https://files.pythonhosted.org/packages/8c/95/9839f9c9700bdaf9e0710a776558010ef0ecf8b9c7f9a959c8c6930a71c5/predictive_imputer-0.2.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "e77790bf81786609d5a01f1b0824b82b", "sha256": "616b151314b6f387ef6a0c325a48e8bcf70ec129474ec1c4cb918208443bca10" }, "downloads": -1, "filename": "predictive_imputer-0.2.0-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "e77790bf81786609d5a01f1b0824b82b", "packagetype": "bdist_wheel", "python_version": "3.5", "requires_python": null, "size": 5026, "upload_time": "2017-04-01T22:25:31", "url": "https://files.pythonhosted.org/packages/75/0b/f9303bd643fe9f0b3374f446a6c6bda229e4e1668942629cb3628bff63ea/predictive_imputer-0.2.0-py2.py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "35f0f439a51c77df1753e663c0acb4af", "sha256": "6487bebb0e7f82f85c12d5088a0457b57e1c37d419624779c321b032a39f3fe0" }, "downloads": -1, "filename": "predictive_imputer-0.2.0.tar.gz", "has_sig": false, "md5_digest": "35f0f439a51c77df1753e663c0acb4af", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 12478, "upload_time": "2017-04-01T22:25:29", "url": "https://files.pythonhosted.org/packages/8c/95/9839f9c9700bdaf9e0710a776558010ef0ecf8b9c7f9a959c8c6930a71c5/predictive_imputer-0.2.0.tar.gz" } ] }