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Apply H2O.ai model to Big Data with KNIME and Spark

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Apr 3, 2019 8:10 PM
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s_430 - this is how your daily production workflow could look like. You have the stored lists and rules how to prepare the data and you have the H2O.ai model in MOJO format and you keep a customer number (or whatever ID you need) along with your prediction score so you can deliver the data. Here you do the additional normalization of your values
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Used extensions & nodes

Created with KNIME Analytics Platform version 4.1.2 Note: Not all extensions may be displayed.
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    KNIME CoreTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.2

    knime
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    KNIME DatabaseTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.1

    knime
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    KNIME Extension for Apache SparkTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.1

    knime
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    KNIME Extension for Big Data File FormatsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    knime
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    KNIME Extension for Local Big Data EnvironmentsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    knime
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    KNIME Extension for MOJO nodes on SparkTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    knime
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    KNIME H2O Machine Learning Integration - MOJO ExtensionTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    knime

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