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  • 09_H2O_DriverlessAI_Example
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H2O Driverless AI Integration

H2O Driverless AI partner extension MOJO

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This workflow shows how to utilize H2O Driverless AI in KNIME to create a model. It starts off with data ingestion and preprocessing, then sends the data to Driverless AI instance to run an experiment. The corresponding MOJO is then created and returned to KNIME where it is applied on the hold-out set. To utilize this workflow, you will need an instance of Driverless AI.

External resources

  • KNIME H2O Driverless AI Integration User Guide

Used extensions & nodes

Created with KNIME Analytics Platform version 4.2.2
  • KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.2

  • KNIME H2O Driverless AI Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 1.0.0

  • KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.2

  • KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.0

  • KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.2

  • KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.2

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License (CC-BY-4.0)
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