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Run Jupyter in KNIME

Jupyter and KNIMEDecision Tree ClassificationJupyter IntegrationOnboardingData Science
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Oct 29, 2020 1:21 PM
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This Workflow showcases how the Jupyter Notebooks can be integrated in KNIME. The Jupyter Notebook is responsible for feature transformation. The Reading Data and Pre-processing block is responsible for loading the data and performing the preprocessing using Python Script Node. The Python Script Node loads the Jupyter Notebook. The Jupyter Notebook Path block can be used to provide the location of the Jupyter Notebook. The rest of the blocks are responsible for Training and evaluating the Decision Tree.

External resources

  • Jupyter and KNIME
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Used extensions & nodes

Created with KNIME Analytics Platform version 4.2.3
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.3

    knime
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    KNIME JavasnippetTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.0

    knime
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    KNIME Machine Learning Interpretability ExtensionTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.1

    knime
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    KNIME Python Integration

    KNIME AG, Zurich, Switzerland

    Version 4.2.3

    knime
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    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.3

    knime

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