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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

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h2o_autodoc-1.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (22.3 MB view hashes)

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Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

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Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

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h2o_autodoc-1.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (20.6 MB view hashes)

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