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Model Simulation View Component with a Custom Regression Model

AutoMLAutomated machine learningGuided analyticsIntegrated deploymentRegression
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Jun 24, 2020 10:02 AM
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This workflow shows how to use the "Model Simulation View" component. A XGBoost Linear Regression model is used here, it can be replaced with any other regression model (Learner and Predictor nodes). 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 custom models trained and captured via the KNIME Integrated Deployment Extension.

External resources

  • Wine Data
  • KNIME Verified Components - KNIME.com
  • Guided Automation: a more complex AutoML example with KNIME Software
  • KNIME Integrated Deployment - KNIME.com
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Used extensions & nodes

Created with KNIME Analytics Platform version 4.6.1
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.1

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    KNIME Integrated DeploymentTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

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    KNIME JavaScript ViewsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.1

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    KNIME JavasnippetTrusted 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 FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

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    KNIME XGBoost IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

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