FAQs
H2O AutoDoc is a Wave application that utilizes H2O's standalone AutoDoc Python module to automatically generate documentation for supervised learning models in H2O Driverless AI, H2O-3, and Scikit-Learn. H2O AutoDoc creates an AutoDoc (report) in a matter of minutes for model validation, governance, and regulatory compliance.
Above all, H2O AutoDoc centralizes a location to generate and store AutoDocs (reports) for future references.
This section provides answers to frequently asked questions. If you have additional questions, send them to cloud-feedback@h2o.ai.
General
Why is H2O AutoDoc needed in the market?
For the most part, many companies that use several models in production must document the models as part of best practices, governance, and regulatory compliance. Manually documenting each model requires time and accuracy. For the most part, companies are restricted with time. H2O AutoDoc automatically documents models while allowing companies to document fast and at a level that complies with best practices, governance, and regulatory compliance.
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