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Retraining the internal model used by RAD

In some cases, it can be useful to retrain the internal model used by relational anomaly detection (RAD). This allows you to indicate the periods during which a parameter group was behaving as expected, so that RAD can better identify when the parameters deviate from that expected behavior in the future.

Tip

Instead of using the SLNetClientTest tool, from DataMiner 10.5.4/10.6.0 onwards, you can also use the RAD Manager app to retrain a RAD parameter group.

  1. Connect to the DMA hosting the grouped parameters using the SLNetClientTest tool.

  2. Go to the Build Message tab of the main window of the SLNetCLientTest tool.

  3. In the Message Type drop-down list, select the message Skyline.DataMiner.Analytics.Rad.RetrainRADModelMessage.

    Note

    Prior to DataMiner 10.5.5/10.6.0, the message is called "Skyline.DataMiner.Analytics.MAD.RetrainMADModelMessage" instead. In this message, "MAD" stands for "multivariate anomaly detection", which is another name for RAD.

  4. Configure the following fields:

    • GroupName: The name of the parameter group as configured in the ai_rad_models_v2 database table. In versions prior to DataMiner 10.5.9/10.6.0, this is configured in the RelationalAnomalyDetection.xml file instead.
    • StartTime: The start time of the period during which the parameter group was behaving as expected.
    • EndTime: The end time of the period during which the parameter group was behaving as expected.

  5. Click Send Message.

Note
  • From DataMiner 10.5.4/10.6.0 onwards, other messages are also available that can be used to add a parameter group, retrieve a parameter group, or retrieve all configuration information for a particular group.
  • Keep in mind that the group names need to be unique. Prior to DataMiner 10.5.4/10.6.0, casing is taken into account for this, but this no longer matters in later DataMiner versions.
Warning

Always be extremely careful when using the SLNetClientTest tool, as it can have far-reaching consequences on the functionality of your DataMiner System.

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