Event Generation

When configured to evaluate the entire batch, the TensorFlow Evaluator processor can generate events. The events contain the results of the prediction or classification made for the batch.

Important: Configure the TensorFlow Evaluator processor to generate events only when the processor is configured to evaluate the entire batch.
TensorFlow Evaluator events can be used in any logical way. For example:
  • With a destination to store event information.

    For an example, see Preserving an Audit Trail of Events.

  • With a data alert to send notifications.

    You can configure data alerts on the event stream to notify upon reaching specified thresholds.

In Data Collector Edge pipelines, you can only pass events to destinations for storage. Alerts are not supported in Data Collector Edge pipelines.

For more information about dataflow triggers and the event framework, see Dataflow Triggers Overview.