The H2O Local Context Node starts a single node H2O instance and provides the connection for KNIME.
In order to leverage the highspeed algorithms implemented in H2O, the first step is always importing your data to your H2O instance where it is stored in-memory in H2Os so called "Frames". This is done by the "H2O Table to Frame" Node. The Node expects a data input as well as an H2O Context, provided here by the "H2O Local Context" Node.
To work further with the data in KNIME it is necessary to re-import it from H2O to a KNIME Table which can be achieved by using the "H2O Frame to Table" Node. From there you are able to connect the data flow to regular KNIME Nodes.
To use this workflow in KNIME, download it from the below URL and open it in KNIME:Download Workflow
Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.Try NodePit Runner!
Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to email@example.com, follow @NodePit on Twitter or botsin.space/@nodepit on Mastodon.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.