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Interface GetEventPredictionRequest

Hierarchy

Index

Properties

detectorId

detectorId: string | undefined

The detector ID.

Optional detectorVersionId

detectorVersionId: undefined | string

The detector version ID.

entities

entities: Entity[] | undefined

The entity type (associated with the detector's event type) and specific entity ID representing who performed the event. If an entity id is not available, use "UNKNOWN."

eventId

eventId: string | undefined

The unique ID used to identify the event.

eventTimestamp

eventTimestamp: string | undefined

Timestamp that defines when the event under evaluation occurred. The timestamp must be specified using ISO 8601 standard in UTC.

eventTypeName

eventTypeName: string | undefined

The event type associated with the detector specified for the prediction.

eventVariables

eventVariables: Record<string, string> | undefined

Names of the event type's variables you defined in Amazon Fraud Detector to represent data elements and their corresponding values for the event you are sending for evaluation.

You must provide at least one eventVariable

To ensure most accurate fraud prediction and to simplify your data preparation, Amazon Fraud Detector will replace all missing variables or values as follows:

For Amazon Fraud Detector trained models:

If a null value is provided explicitly for a variable or if a variable is missing, model will replace the null value or the missing variable (no variable name in the eventVariables map) with calculated default mean/medians for numeric variables and with special values for categorical variables.

For imported SageMaker models:

If a null value is provided explicitly for a variable, the model and rules will use “null” as the value. If a variable is not provided (no variable name in the eventVariables map), model and rules will use the default value that is provided for the variable.

Optional externalModelEndpointDataBlobs

externalModelEndpointDataBlobs: Record<string, ModelEndpointDataBlob>

The Amazon SageMaker model endpoint input data blobs.