frauddetector_get_event_prediction: Evaluates an event against a detector version

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

Evaluates an event against a detector version

Description

Evaluates an event against a detector version. If a version ID is not provided, the detector’s (ACTIVE) version is used.

See https://www.paws-r-sdk.com/docs/frauddetector_get_event_prediction/ for full documentation.

Usage

frauddetector_get_event_prediction(
  detectorId,
  detectorVersionId = NULL,
  eventId,
  eventTypeName,
  entities,
  eventTimestamp,
  eventVariables,
  externalModelEndpointDataBlobs = NULL
)

Arguments

detectorId	[required] The detector ID.
detectorVersionId	The detector version ID.
eventId	[required] The unique ID used to identify the event.
eventTypeName	[required] The event type associated with the detector specified for the prediction.
entities	[required] 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."
eventTimestamp	[required] Timestamp that defines when the event under evaluation occurred. The timestamp must be specified using ISO 8601 standard in UTC.
eventVariables	[required] 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.
externalModelEndpointDataBlobs	The Amazon SageMaker model endpoint input data blobs.

paws.machine.learning documentation built on Sept. 12, 2024, 6:23 a.m.