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  • 01 Automatic Retraining Check
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01 Automatic Retraining Check

Data drift Synthetic data Model monitoring

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This workflow calls a workflow service to perform data quality assessment on the data. It provides the parameters required by the workflow service: - the date up to which data must be considered - the column to test - the interval (in months) to calculate the control measure. This workflow can be deployed on a KNIME Server to be automatically executed at a scheduled time. Learn more about this workflow in the linked blog posts.

External resources

  • How to take control of data drift
  • How to generate synthetic data for model monitoring

Used extensions & nodes

Created with KNIME Analytics Platform version 4.5.2 Note: Not all extensions may be displayed.
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Versions 4.5.1, 4.5.2

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    KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.2

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