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Adaptive model methods

Updated on July 5, 2022

Adaptive models can be managed and trained through a rule-based API.

  • Training adaptive models

    Adaptive models that you deploy to the Production environment learn quickly online from responses without any historical or sample data. Training adaptive models offline is not required or a best practice. However, for testing or demo purposes, you can train adaptive models with historical or sample data by using a Data Flow with a dedicated Decision strategy.

  • Deleting adaptive models

    Use the Call instruction with the DSMPublicAPI-ADM.pxDeleteModelsByCriteria activity to delete all adaptive models that match the criteria defined by the parameters. You can use this method to set up an activity to regularly delete the models that you do not need.

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