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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