{
    "info": {
        "author": "Parmentier Laurent",
        "author_email": "lpyparmentier@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering :: Artificial Intelligence"
        ],
        "description": "\nA Python tool that automatically creates and optimizes machine learning pipelines using genetic programming.\n\nContact\n=============\nIf you have any questions or comments about TPOT, please feel free to contact the original creator of TPOT via:\n\nE-mail: rso@randalolson.com\n\nor Twitter: https://twitter.com/randal_olson\n\nThe original project is hosted at https://github.com/EpistasisLab/tpot\n\n\n",
        "description_content_type": "",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://gitlab.society-lbl.com/lparmentier/tpot",
        "keywords": "pipeline optimization,hyperparameter optimization,data science,machine learning,genetic programming,evolutionary computation,successive-halving",
        "license": "GNU/LGPLv3",
        "maintainer": "",
        "maintainer_email": "",
        "name": "TPOT-SH",
        "package_url": "https://pypi.org/project/TPOT-SH/",
        "platform": "",
        "project_url": "https://pypi.org/project/TPOT-SH/",
        "project_urls": {
            "Homepage": "https://gitlab.society-lbl.com/lparmentier/tpot"
        },
        "release_url": "https://pypi.org/project/TPOT-SH/0.9.5/",
        "requires_dist": [
            "numpy (>=1.12.1)",
            "scipy (>=0.19.0)",
            "scikit-learn (>=0.18.1)",
            "deap (>=1.0)",
            "update-checker (>=0.16)",
            "tqdm (>=4.11.2)",
            "stopit (>=1.1.1)",
            "pandas (>=0.20.2)",
            "dask (>=0.18.2) ; extra == 'dask'",
            "distributed (>=1.22.1) ; extra == 'dask'",
            "dask-ml (>=0.9.0) ; extra == 'dask'",
            "scikit-mdr (>=0.4.4) ; extra == 'mdr'",
            "skrebate (>=0.3.4) ; extra == 'skrebate'",
            "xgboost (==0.6a2) ; extra == 'xgboost'"
        ],
        "requires_python": "",
        "summary": "Tree-based Pipeline Optimization Tool - Successive Halving",
        "version": "0.9.5"
    },
    "last_serial": 5775643,
    "releases": {
        "0.9.5": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "3c4fba27c84340c6bc28e6be80fd5df1",
                    "sha256": "135b2101a530fa0c0ee723a458a389ff5ab075f899a860e139d32e9b9a4b22cb"
                },
                "downloads": -1,
                "filename": "TPOT_SH-0.9.5-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "3c4fba27c84340c6bc28e6be80fd5df1",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 71650,
                "upload_time": "2019-09-03T12:27:11",
                "url": "https://files.pythonhosted.org/packages/8c/49/fbbc1645e94d646097214a756dded37cd3a51d2e74bcfa22f4d449b5f8f0/TPOT_SH-0.9.5-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "6984fc244bc7ffdaedf1cf5625148ab8",
                    "sha256": "62336eac333b03dfde9b96aa941d4ce85bc1fa845889da2697839038bcbd5091"
                },
                "downloads": -1,
                "filename": "TPOT-SH-0.9.5.tar.gz",
                "has_sig": false,
                "md5_digest": "6984fc244bc7ffdaedf1cf5625148ab8",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 890522,
                "upload_time": "2019-09-03T12:27:14",
                "url": "https://files.pythonhosted.org/packages/9f/90/ada7c431d183523b05ac5f0340c41fe9753ac457990bd8a9b3b0c6e205df/TPOT-SH-0.9.5.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "3c4fba27c84340c6bc28e6be80fd5df1",
                "sha256": "135b2101a530fa0c0ee723a458a389ff5ab075f899a860e139d32e9b9a4b22cb"
            },
            "downloads": -1,
            "filename": "TPOT_SH-0.9.5-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "3c4fba27c84340c6bc28e6be80fd5df1",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 71650,
            "upload_time": "2019-09-03T12:27:11",
            "url": "https://files.pythonhosted.org/packages/8c/49/fbbc1645e94d646097214a756dded37cd3a51d2e74bcfa22f4d449b5f8f0/TPOT_SH-0.9.5-py3-none-any.whl"
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "6984fc244bc7ffdaedf1cf5625148ab8",
                "sha256": "62336eac333b03dfde9b96aa941d4ce85bc1fa845889da2697839038bcbd5091"
            },
            "downloads": -1,
            "filename": "TPOT-SH-0.9.5.tar.gz",
            "has_sig": false,
            "md5_digest": "6984fc244bc7ffdaedf1cf5625148ab8",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 890522,
            "upload_time": "2019-09-03T12:27:14",
            "url": "https://files.pythonhosted.org/packages/9f/90/ada7c431d183523b05ac5f0340c41fe9753ac457990bd8a9b3b0c6e205df/TPOT-SH-0.9.5.tar.gz"
        }
    ]
}