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01_​H2O_​Data_​import_​and_​export

H2O data import and export

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.

Importing and exporting data to and from H2O This workflow shows how to transfer data from KNIME to H2Oand vice versa. H2O data import and export H2O Machine Learning(In-memory model training, prediction,scoring) Start local H2O Single Node instanceImport data to H2O FrameExport H2O Frame to TableLoad data H2O Local Context Table to H2O H2O to Table Table Reader Importing and exporting data to and from H2O This workflow shows how to transfer data from KNIME to H2Oand vice versa. H2O data import and export H2O Machine Learning(In-memory model training, prediction,scoring) Start local H2O Single Node instanceImport data to H2O FrameExport H2O Frame to TableLoad dataH2O Local Context Table to H2O H2O to Table Table Reader

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Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: nico
Created at: 2017-07-10
On NodePit since: 2019-07-12
Last update: 2025-01-19
Created with KNIME version: v4.1.0
Tags: H2Omachine learningdata importdata export

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