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Model Simulation View Component with a Custom Model

Automated machine learning Guided analytics Integrated deployment Numeric predictions Classification
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This workflow shows how to use the "Model Simulation View" components. A Decision Tree model is used here, it can be replaced with any other classification model(Learner and Predictor) that suits the data. The key of this example is the “Model Simulation View” component, verified and developed by the KNIME Team. Use this component to interactively execute the model on a user-defined input for testing or deployment purposes. The component and the resulting data app can be deployed on KNIME Server for any user to interact with via web browser. The "Model Simulation View" component can also work with any other custom model trained and captured via the KNIME Integrated Deployment Extension.

External resources

  • KNIME Integrated Deployment - KNIME.com
  • Guided Automation: a more complex AutoML example with KNIME Software
  • KNIME Verified Components - KNIME.com
  • Iris Data

Used extensions & nodes

Created with KNIME Analytics Platform version 4.6.1
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.1

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    KNIME Integrated Deployment Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

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    KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.1

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    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

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    KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

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    KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

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