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Machine Learning Data App Example

Data App Python Integrated Deployment Dynamic Refresh
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This workflow is example of data app using: - Custom Python code - KNIME machine learning nodes - View and Widget nodes - Integrated Deployment nodes - New Refresh Button Widget! This workflow was used during the Meet the Developer session at KNIME Data Talk - Community Edition on July 7th 2021.

Used extensions & nodes

Created with KNIME Analytics Platform version 4.5.2
  • KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Versions 4.4.0, 4.5.2

  • KNIME Integrated Deployment Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

  • KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.2

  • KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

  • KNIME Machine Learning Interpretability Extension Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

  • KNIME Python Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.2

  • KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.2

  • KNIME ServerSpace Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.14.2

  • KNIME XGBoost Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

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