H2O Automated Model Documentation (AutoDoc) is a Python package that automatically creates model documentation for supervised learning models created in H2O-3 and Scikit-Learn. Automated documentation is used in production in H2O Driverless AI. This industry-leading capability is now available as a new commercial module.
Key Capabilities
- Distributed Automatic document generation in Microsoft Word (docx) or Markup (.md) formats.
- Out-of-the-box documentation template included
- Template customization available to fit with your organization’s standards and requirements
- Support for models generated in H2O-3 and Scikit-Learn
- Support for H2O-3: Deep Learning, Random Forest, GLM, Gradient Boosted Machines, Stacked Ensembles, and XGBoost models
Please send feedback to help improve the client and documentation to sales@h2o.ai.
Raw data
{
"_id": null,
"home_page": "https://www.h2o.ai/products/h2o-autodoc/",
"name": "h2o-autodoc",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.7,<3.11",
"maintainer_email": "",
"keywords": "machine learning,data science,automated model documentation,h2o,autodoc,h2o-3,sklearn",
"author": "H2O.ai",
"author_email": "sales@h2o.ai",
"download_url": "",
"platform": null,
"description": "H2O Automated Model Documentation (AutoDoc) is a Python package that automatically creates model documentation for supervised learning models created in H2O-3 and Scikit-Learn. Automated documentation is used in production in H2O Driverless AI. This industry-leading capability is now available as a new commercial module.\n\nKey Capabilities\n\n- Distributed Automatic document generation in Microsoft Word (docx) or Markup (.md) formats.\n- Out-of-the-box documentation template included\n- Template customization available to fit with your organization\u2019s standards and requirements\n- Support for models generated in H2O-3 and Scikit-Learn\n- Support for H2O-3: Deep Learning, Random Forest, GLM, Gradient Boosted Machines, Stacked Ensembles, and XGBoost models\n\nPlease send feedback to help improve the client and documentation to sales@h2o.ai.\n",
"bugtrack_url": null,
"license": "Proprietary License",
"summary": "Create a machine learning model documentation",
"version": "1.1.0",
"project_urls": {
"Documentation": "https://docs.h2o.ai/h2o_autodoc/latest-stable/userguide/index.html",
"Homepage": "https://www.h2o.ai/products/h2o-autodoc/"
},
"split_keywords": [
"machine learning",
"data science",
"automated model documentation",
"h2o",
"autodoc",
"h2o-3",
"sklearn"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "cd17d88915b7a3882ca640203b6a0bdedf5ebf18ddd28ba03f510789d2c6ef42",
"md5": "4bbe1ffb24fcaee947b346bc42090c16",
"sha256": "9bc68dce72b77edf7bc588b508ee2492f3b82dae849f9e26dd1da5c9c0a0b36b"
},
"downloads": -1,
"filename": "h2o_autodoc-1.1.0-cp310-cp310-macosx_10_9_x86_64.whl",
"has_sig": false,
"md5_digest": "4bbe1ffb24fcaee947b346bc42090c16",
"packagetype": "bdist_wheel",
"python_version": "cp310",
"requires_python": ">=3.7,<3.11",
"size": 9845545,
"upload_time": "2023-10-24T12:31:12",
"upload_time_iso_8601": "2023-10-24T12:31:12.998006Z",
"url": "https://files.pythonhosted.org/packages/cd/17/d88915b7a3882ca640203b6a0bdedf5ebf18ddd28ba03f510789d2c6ef42/h2o_autodoc-1.1.0-cp310-cp310-macosx_10_9_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "3dc99096f1f74e8298a82b14c9990690e68fa80a868e7f0f11805e89be64a3a2",
"md5": "738c8ac1dbc14f058fe817a8a97e7033",
"sha256": "b7a0d2617ccf4b24a07de1fd03a7a1882e3333e22a9070da785cb232687c4edf"
},
"downloads": -1,
"filename": "h2o_autodoc-1.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"has_sig": false,
"md5_digest": "738c8ac1dbc14f058fe817a8a97e7033",
"packagetype": "bdist_wheel",
"python_version": "cp310",
"requires_python": ">=3.7,<3.11",
"size": 22304816,
"upload_time": "2023-10-24T12:31:47",
"upload_time_iso_8601": "2023-10-24T12:31:47.426343Z",
"url": "https://files.pythonhosted.org/packages/3d/c9/9096f1f74e8298a82b14c9990690e68fa80a868e7f0f11805e89be64a3a2/h2o_autodoc-1.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "f726105c1c6b4a29b951b8d68ef53fc400cffdeff0ff2d72469e48b918b4fb56",
"md5": "21ea3196f761d914929be7f0916b457c",
"sha256": "a64f4c65e49cea0b799471da5374d428b905b382252c726de049e4cf1d4761dc"
},
"downloads": -1,
"filename": "h2o_autodoc-1.1.0-cp37-cp37m-macosx_10_9_x86_64.whl",
"has_sig": false,
"md5_digest": "21ea3196f761d914929be7f0916b457c",
"packagetype": "bdist_wheel",
"python_version": "cp37",
"requires_python": ">=3.7,<3.11",
"size": 10094727,
"upload_time": "2023-10-24T12:32:09",
"upload_time_iso_8601": "2023-10-24T12:32:09.695097Z",
"url": "https://files.pythonhosted.org/packages/f7/26/105c1c6b4a29b951b8d68ef53fc400cffdeff0ff2d72469e48b918b4fb56/h2o_autodoc-1.1.0-cp37-cp37m-macosx_10_9_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "8e5688117dc7c2a3533b3da0e64b81ec0374bf109e7c626b45932f9ec65dd0fb",
"md5": "3ff49ca8e171ac836eb83142493872b9",
"sha256": "c912d3517804464663f61d86f5490d7f3c69998cc4c2283f51591ad160d41efb"
},
"downloads": -1,
"filename": "h2o_autodoc-1.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"has_sig": false,
"md5_digest": "3ff49ca8e171ac836eb83142493872b9",
"packagetype": "bdist_wheel",
"python_version": "cp37",
"requires_python": ">=3.7,<3.11",
"size": 20637993,
"upload_time": "2023-10-24T12:32:38",
"upload_time_iso_8601": "2023-10-24T12:32:38.713189Z",
"url": "https://files.pythonhosted.org/packages/8e/56/88117dc7c2a3533b3da0e64b81ec0374bf109e7c626b45932f9ec65dd0fb/h2o_autodoc-1.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "87dab71f44e729a2f6d0783291e98843e08210b46fe861983630d5ea1483a9ca",
"md5": "c2cabe6c25d89155492d901d63d65988",
"sha256": "3ce98516a8c9d51da01b5175a5ba68e30ba63e958e86616d82f67ffaa224f2f0"
},
"downloads": -1,
"filename": "h2o_autodoc-1.1.0-cp38-cp38-macosx_10_9_x86_64.whl",
"has_sig": false,
"md5_digest": "c2cabe6c25d89155492d901d63d65988",
"packagetype": "bdist_wheel",
"python_version": "cp38",
"requires_python": ">=3.7,<3.11",
"size": 10166732,
"upload_time": "2023-10-24T12:32:53",
"upload_time_iso_8601": "2023-10-24T12:32:53.681225Z",
"url": "https://files.pythonhosted.org/packages/87/da/b71f44e729a2f6d0783291e98843e08210b46fe861983630d5ea1483a9ca/h2o_autodoc-1.1.0-cp38-cp38-macosx_10_9_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "90adeef4e842f9974bcd397ca79a810542f8e900b1db8b3faa8cd0e77e0c09e4",
"md5": "3a98bb83d5881124f5b3a897a7b878ff",
"sha256": "6548b70a63fc61438865597241646925887b935b41077e856e404dcea4b6753c"
},
"downloads": -1,
"filename": "h2o_autodoc-1.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"has_sig": false,
"md5_digest": "3a98bb83d5881124f5b3a897a7b878ff",
"packagetype": "bdist_wheel",
"python_version": "cp38",
"requires_python": ">=3.7,<3.11",
"size": 22617812,
"upload_time": "2023-10-24T12:33:25",
"upload_time_iso_8601": "2023-10-24T12:33:25.980491Z",
"url": "https://files.pythonhosted.org/packages/90/ad/eef4e842f9974bcd397ca79a810542f8e900b1db8b3faa8cd0e77e0c09e4/h2o_autodoc-1.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "219833cdd77359b1d335821b709ae664632401ce2e4aee43b3c8dd3d21d862da",
"md5": "0f1c27d0822baa0098961468063a9140",
"sha256": "30d79463166e851227fe560fc135fe0a00414fb733a495dfdf59033f30fb26fa"
},
"downloads": -1,
"filename": "h2o_autodoc-1.1.0-cp39-cp39-macosx_10_9_x86_64.whl",
"has_sig": false,
"md5_digest": "0f1c27d0822baa0098961468063a9140",
"packagetype": "bdist_wheel",
"python_version": "cp39",
"requires_python": ">=3.7,<3.11",
"size": 9839813,
"upload_time": "2023-10-24T12:33:41",
"upload_time_iso_8601": "2023-10-24T12:33:41.243132Z",
"url": "https://files.pythonhosted.org/packages/21/98/33cdd77359b1d335821b709ae664632401ce2e4aee43b3c8dd3d21d862da/h2o_autodoc-1.1.0-cp39-cp39-macosx_10_9_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "8a6eb3c78fe2a0f732679a81a0c3ae79fcb9fe627623349a696d00c5969a07db",
"md5": "62639a74e8e4d847da2875c46f191928",
"sha256": "739ac94b879e5ba3bcec511289232f48b41332b094ebdbc14ba88093448705f7"
},
"downloads": -1,
"filename": "h2o_autodoc-1.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"has_sig": false,
"md5_digest": "62639a74e8e4d847da2875c46f191928",
"packagetype": "bdist_wheel",
"python_version": "cp39",
"requires_python": ">=3.7,<3.11",
"size": 22136828,
"upload_time": "2023-10-24T12:34:12",
"upload_time_iso_8601": "2023-10-24T12:34:12.121494Z",
"url": "https://files.pythonhosted.org/packages/8a/6e/b3c78fe2a0f732679a81a0c3ae79fcb9fe627623349a696d00c5969a07db/h2o_autodoc-1.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-10-24 12:31:12",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "h2o-autodoc"
}
JSON