H2O Flow is a notebook-style open-source user interface for H2O. It is a web-based interactive environment that allows you to combine code execution, text, mathematics, plots, and rich media in a single document, similar to iPython Notebooks.
With H2O Flow, you can capture, rerun, annotate, present, and share your workflow. H2O Flow allows you to use H2O interactively to import files, build models, and iteratively improve them. Based on your models, you can make predictions and add rich text to create vignettes of your work – all within Flow’s browser-based environment.
Flow’s hybrid user interface seamlessly blends command-line computing with a modern graphical user interface. However, rather than displaying output as plain text, Flow provides a point-and-click user interface for every H2O operation. It allows you to access any H2O object in the form of well-organized tabular data. R, Python and Scala are DSL’s that are supported.
One of the best features of Flow is that models can be inspected during training. For example, convergence on validation splits can be observed in real-time during training, with fully-featured visual displays of model metrics, and suboptimal models can be cancelled and restarted with modified input – making data scientists happier and more productive.