EventType ¶

class EventType(TypedDict, closed=True):
    name: NotRequired["capo_frauddetector.types.string.string"]
    """<p>The event type name.</p>"""
    description: NotRequired["capo_frauddetector.types.description.description"]
    """<p>The event type description.</p>"""
    event_variables: NotRequired[
        "capo_frauddetector.types.list_of_strings.ListOfStrings"
    ]
    """<p>The event type event variables.</p>"""
    labels: NotRequired["capo_frauddetector.types.list_of_strings.ListOfStrings"]
    """<p>The event type labels.</p>"""
    entity_types: NotRequired[
        "capo_frauddetector.types.non_empty_list_of_strings.NonEmptyListOfStrings"
    ]
    """<p>The event type entity types.</p>"""
    event_ingestion: NotRequired[
        "capo_frauddetector.types.event_ingestion.EventIngestion"
    ]
    """<p>If <code>Enabled</code>, Amazon Fraud Detector stores event data when you generate a prediction and uses that data to update calculated variables in near real-time. Amazon Fraud Detector uses this data, known as <code>INGESTED_EVENTS</code>, to train your model and improve fraud predictions.</p>"""
    ingested_event_statistics: NotRequired[
        "capo_frauddetector.types.ingested_event_statistics.IngestedEventStatistics"
    ]
    """<p>Data about the stored events.</p>"""
    last_updated_time: NotRequired["capo_frauddetector.types.time.time"]
    """<p>Timestamp of when the event type was last updated.</p>"""
    created_time: NotRequired["capo_frauddetector.types.time.time"]
    """<p>Timestamp of when the event type was created.</p>"""
    arn: NotRequired["capo_frauddetector.types.fraud_detector_arn.fraudDetectorArn"]
    """<p>The entity type ARN.</p>"""
    event_orchestration: NotRequired[
        "capo_frauddetector.types.event_orchestration.EventOrchestration"
    ]
    """<p>The event orchestration status. </p>"""