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WorkflowWorkflow

Combine Big Data, Spark and H2O.ai Sparkling Water

Knime H2o H2o.ai Spark Sparkling
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- load data into (local) Big Data environment - load data into Spark context - load data into H2O.ai Sparkling Water context - build H2O model in Big Data environment - use H2O model - check accuracy of model - store model as MOJO file - reuse stored model on ‚new‘ data with or without the sparkling water context

External resources

  • H2O.ai Auto-Machine_learning
  • Machine Learning Meta Collection (with KNIME)
  • Original discussion
  • KNIME and H2O

Used extensions & nodes

Created with KNIME Analytics Platform version 4.5.0
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

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    KNIME Database Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

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    KNIME Extension for Apache Spark Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

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    KNIME Extension for Local Big Data Environments Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

  • Go to item
    KNIME Extension for MOJO nodes on Spark Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

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    KNIME H2O Machine Learning Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

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    KNIME H2O Machine Learning Integration - MOJO Extension Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

  • Go to item
    KNIME H2O Sparkling Water Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

  • Go to item
    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

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