class Aws::FraudDetector::Types::GetEventPredictionRequest
@note When making an API call, you may pass GetEventPredictionRequest
data as a hash: { detector_id: "string", # required detector_version_id: "wholeNumberVersionString", event_id: "string", # required event_type_name: "string", # required entities: [ # required { entity_type: "string", # required entity_id: "identifier", # required }, ], event_timestamp: "utcTimestampISO8601", # required event_variables: { # required "variableName" => "variableValue", }, external_model_endpoint_data_blobs: { "string" => { byte_buffer: "data", content_type: "contentType", }, }, }
@!attribute [rw] detector_id
The detector ID. @return [String]
@!attribute [rw] detector_version_id
The detector version ID. @return [String]
@!attribute [rw] event_id
The unique ID used to identify the event. @return [String]
@!attribute [rw] event_type_name
The event type associated with the detector specified for the prediction. @return [String]
@!attribute [rw] entities
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." @return [Array<Types::Entity>]
@!attribute [rw] event_timestamp
Timestamp that defines when the event under evaluation occurred. @return [String]
@!attribute [rw] event_variables
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 * If detectorVersion is associated with a modelVersion, you must provide at least one associated eventVariable To ensure highest possible 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 External models ( for example, imported SageMaker):** 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. @return [Hash<String,String>]
@!attribute [rw] external_model_endpoint_data_blobs
The Amazon SageMaker model endpoint input data blobs. @return [Hash<String,Types::ModelEndpointDataBlob>]
@see docs.aws.amazon.com/goto/WebAPI/frauddetector-2019-11-15/GetEventPredictionRequest AWS API Documentation
Constants
- SENSITIVE