{ "info": { "author": "Maurizio Sambati", "author_email": "maurizio@skicelab.com", "bugtrack_url": null, "classifiers": [], "description": "mltool: regression tool\n=======================\n\nmltool is a simple `Learning to Rank`_ tool to build a regression tree based ranking model.\nCurrently mltool supports simple CART and `Random Forest`_. The implementation is strongly\ninspired by `rt-rank`_, but it lacks the support of `Gradient Boosting Regression Trees`_.\n\n.. _`Learning to Rank`: http://en.wikipedia.org/wiki/Learning_to_rank\n.. _`Random Forest`: http://stat-www.berkeley.edu/users/breiman/RandomForests/cc_home.htm\n.. _`rt-rank`: https://sites.google.com/site/rtranking/\n.. _`Gradient Boosting Regression Trees`: http://en.wikipedia.org/wiki/Gradient_boosting\n\n\nOverview\n--------\n\nFeatures\n~~~~~~~~\n\nDespite rt-rank, mltool provides:\n\n- A parameter to set the seed for the random number generator to make the training\n deterministic\n- Serializable model\n- Show feature information gain statistics at the end of the training\n- Can be used as an API\n\nSome highlights compared to other Random Forest implemented for Python:\n\n- The implementation of the Random Forest makes use of numpy and it is quite optimized\n- Parallel Random Forest training\n\n\nInstallation\n~~~~~~~~~~~~\n\nInstall from PyPI using pip::\n\n $ pip install mltool\n\nNow you can run mltool::\n\n $ mltool -h\n\nDocumentation\n~~~~~~~~~~~~~\n\nThe documentation is hosted by `Read the Docs`_ at the following url:\nhttp://readthedocs.org/docs/mltool/en/latest/\n\n.. _`Read the Docs`: http://readthedocs.org/\n\nFuture\n~~~~~~\n\n- add support for Stochastic Gradient Boosting Regression Trees\n- add support for simple regression and/or classification (i.e. not just focus on ranking)", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://bitbucket.org/duilio/mltool", "keywords": null, "license": "Copyright (C) 2012 Maurizio Sambati\n\nPermission is hereby granted, free of charge, to any person obtaining a copy of\nthis software and associated documentation files (the \"Software\"), to deal in\nthe Software without restriction, including without limitation the rights to\nuse, copy, modify, merge, publish, distribute, sublicense, and/or sell copies\nof the Software, and to permit persons to whom the Software is furnished to do\nso, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.", "maintainer": null, "maintainer_email": null, "name": "mltool", "package_url": "https://pypi.org/project/mltool/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/mltool/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://bitbucket.org/duilio/mltool" }, "release_url": "https://pypi.org/project/mltool/0.6/", "requires_dist": null, "requires_python": null, "summary": "Machine learning tool for regression.", "version": "0.6" }, "last_serial": 794864, "releases": { "0.5.1b": [ { "comment_text": "", "digests": { "md5": "f1bb0053272dcde2a7bed5586b555522", "sha256": "3ad81c0ee3bfca190df5bbb306da971ad7dd2360923e5683e6ad755145558b47" }, "downloads": -1, "filename": "mltool-0.5.1b.tar.gz", "has_sig": false, "md5_digest": "f1bb0053272dcde2a7bed5586b555522", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 9803, "upload_time": "2012-04-06T09:52:40", "url": "https://files.pythonhosted.org/packages/af/ea/823959fa1655a5fdab55f12c7fe7dc995c219dd99f6ed4081256036aedda/mltool-0.5.1b.tar.gz" } ], "0.6": [ { "comment_text": "", "digests": { "md5": "ed72183b3c4ce211bb1aa9b7d63a44a2", "sha256": "91842676c6f57533e161cbeb5a446f61e9f417b9bc9424f366db286f8fdac44f" }, "downloads": -1, "filename": "mltool-0.6.tar.gz", "has_sig": false, "md5_digest": "ed72183b3c4ce211bb1aa9b7d63a44a2", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 9758, "upload_time": "2012-04-09T23:12:22", "url": "https://files.pythonhosted.org/packages/3a/72/1bf3b9a2e6582b429de13b65fd92bfa9d3a5840abafeb116102a7b88de10/mltool-0.6.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "ed72183b3c4ce211bb1aa9b7d63a44a2", "sha256": "91842676c6f57533e161cbeb5a446f61e9f417b9bc9424f366db286f8fdac44f" }, "downloads": -1, "filename": "mltool-0.6.tar.gz", "has_sig": false, "md5_digest": "ed72183b3c4ce211bb1aa9b7d63a44a2", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 9758, "upload_time": "2012-04-09T23:12:22", "url": "https://files.pythonhosted.org/packages/3a/72/1bf3b9a2e6582b429de13b65fd92bfa9d3a5840abafeb116102a7b88de10/mltool-0.6.tar.gz" } ] }