H2O AutoDoc uses several terms across its documentation, and each, in turn, is explained in the below sections.
AutoDoc refers to automated machine learning documentation for individual supervised learning models. This editable document (AutoDoc) contains an overview of the experiment and other significant details like feature engineering and final model performance.
A MOJO (Model Object, Optimized) is an alternative to H2O’s POJO. As with POJOs, H2O allows you to convert models that you build to MOJOs, which can then be deployed for scoring in real time. For more information, see MOJO quick start.
Scikit-learn is a free software machine learning library for Python. For more information, see Getting started.
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