h2o-autodoc 1.2.3

Create a machine learning model documentation

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 [e-mail].