Create a machine learning model documentation
Project 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.
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.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distributions
Hashes for h2o_autodoc-1.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b7a0d2617ccf4b24a07de1fd03a7a1882e3333e22a9070da785cb232687c4edf |
|
MD5 | 738c8ac1dbc14f058fe817a8a97e7033 |
|
BLAKE2b-256 | 3dc99096f1f74e8298a82b14c9990690e68fa80a868e7f0f11805e89be64a3a2 |
Hashes for h2o_autodoc-1.1.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9bc68dce72b77edf7bc588b508ee2492f3b82dae849f9e26dd1da5c9c0a0b36b |
|
MD5 | 4bbe1ffb24fcaee947b346bc42090c16 |
|
BLAKE2b-256 | cd17d88915b7a3882ca640203b6a0bdedf5ebf18ddd28ba03f510789d2c6ef42 |
Hashes for h2o_autodoc-1.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 739ac94b879e5ba3bcec511289232f48b41332b094ebdbc14ba88093448705f7 |
|
MD5 | 62639a74e8e4d847da2875c46f191928 |
|
BLAKE2b-256 | 8a6eb3c78fe2a0f732679a81a0c3ae79fcb9fe627623349a696d00c5969a07db |
Hashes for h2o_autodoc-1.1.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 30d79463166e851227fe560fc135fe0a00414fb733a495dfdf59033f30fb26fa |
|
MD5 | 0f1c27d0822baa0098961468063a9140 |
|
BLAKE2b-256 | 219833cdd77359b1d335821b709ae664632401ce2e4aee43b3c8dd3d21d862da |
Hashes for h2o_autodoc-1.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6548b70a63fc61438865597241646925887b935b41077e856e404dcea4b6753c |
|
MD5 | 3a98bb83d5881124f5b3a897a7b878ff |
|
BLAKE2b-256 | 90adeef4e842f9974bcd397ca79a810542f8e900b1db8b3faa8cd0e77e0c09e4 |
Hashes for h2o_autodoc-1.1.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3ce98516a8c9d51da01b5175a5ba68e30ba63e958e86616d82f67ffaa224f2f0 |
|
MD5 | c2cabe6c25d89155492d901d63d65988 |
|
BLAKE2b-256 | 87dab71f44e729a2f6d0783291e98843e08210b46fe861983630d5ea1483a9ca |
Hashes for h2o_autodoc-1.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c912d3517804464663f61d86f5490d7f3c69998cc4c2283f51591ad160d41efb |
|
MD5 | 3ff49ca8e171ac836eb83142493872b9 |
|
BLAKE2b-256 | 8e5688117dc7c2a3533b3da0e64b81ec0374bf109e7c626b45932f9ec65dd0fb |
Hashes for h2o_autodoc-1.1.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a64f4c65e49cea0b799471da5374d428b905b382252c726de049e4cf1d4761dc |
|
MD5 | 21ea3196f761d914929be7f0916b457c |
|
BLAKE2b-256 | f726105c1c6b4a29b951b8d68ef53fc400cffdeff0ff2d72469e48b918b4fb56 |