This workflow shows how to manage and execute H2O Driverless AI Experiments from KNIME. It begins with data input and processing. After splitting the data, it sends the training dataset to H2O Driverless AI, runs H2O Driverless AI Experiment with the dataset, and applies the created model to the verification set.
This is a companion discussion topic for the original entry at https://kni.me/w/EG2NQ-R9pP-H_Wli