Hub
Pricing About
WorkflowWorkflow

H2O data import and export

H2OMachine learningData importData export
knime profile image
Draft Latest edits on 
Jul 10, 2017 8:00 AM
Drag & drop
Like
Download workflow
Workflow preview
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.
Loading deploymentsLoading ad hoc jobs

Used extensions & nodes

Created with KNIME Analytics Platform version 4.1.0
  • Go to item
    KNIME CoreTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    knime profile image
    knime
  • Go to item
    KNIME H2O Machine Learning IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    knime profile image
    knime

Legal

By using or downloading the workflow, you agree to our terms and conditions.

KNIME
Open for Innovation

KNIME AG
Talacker 50
8001 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • Courses + Certification
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more about KNIME Business Hub
© 2025 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Data Processing Agreement
  • Credits