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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

Please send feedback to help improve the client and documentation to sales@h2o.ai.

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