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Spark MLlib decision tree

Spark Hadoop Big Data

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This workflow demonstrates the usage of the Spark MLlib Decision Tree Learner and Spark Predictor. It also demonstrates the conversion of categorical columns into numerical columns which is necessary since the MLlib algorithms only support numerical features and labels. The workflow makes use of the Create Local Big Data Environment node to create a Spark context. You can swap this node out for a Create Spark Context (Livy) node to connect to a remote cluster.

External resources

  • Spark Decision Tree documentation

Used extensions & nodes

Created with KNIME Analytics Platform version 4.1.0
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    KNIME Core Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

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    KNIME Extension for Apache Spark Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

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    KNIME Extension for Local Big Data Environments Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

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