Data Types

The Amazon Fraud Detector API contains several data types that various actions use. This section describes each data type in detail.

Note

The order of each element in a data type structure is not guaranteed. Applications should not assume a particular order.

The following data types are supported:

• AggregatedLogOddsMetric

• AggregatedVariablesImpactExplanation

• AggregatedVariablesImportanceMetrics

• AllowDenyList

• ATIMetricDataPoint

• ATIModelPerformance

• ATITrainingMetricsValue

• BatchCreateVariableError

• BatchGetVariableError

• BatchImport

• BatchPrediction

• DataValidationMetrics

• Detector

• DetectorVersionSummary

• Entity

• EntityType

• EvaluatedExternalModel

• EvaluatedModelVersion

• EvaluatedRule

• Event

• EventOrchestration

• EventPredictionSummary

• EventType

• EventVariableSummary

• ExternalEventsDetail

• ExternalModel

• ExternalModelOutputs

• ExternalModelSummary

• FieldValidationMessage

• FileValidationMessage

• FilterCondition

• IngestedEventsDetail

• IngestedEventStatistics

• IngestedEventsTimeWindow

• KMSKey

• Label

• LabelSchema

• LogOddsMetric

• MetricDataPoint

• Model

• ModelEndpointDataBlob

• ModelInputConfiguration

• ModelOutputConfiguration

• ModelScores

• ModelVersion

• ModelVersionDetail

• ModelVersionEvaluation

• OFIMetricDataPoint

• OFIModelPerformance

• OFITrainingMetricsValue

• Outcome

• PredictionExplanations

• PredictionTimeRange

• Rule

• RuleDetail

• RuleResult

• Tag

• TFIMetricDataPoint

• TFIModelPerformance

• TFITrainingMetricsValue

• TrainingDataSchema

• TrainingMetrics

• TrainingMetricsV2

• TrainingResult

• TrainingResultV2

• UncertaintyRange

• Variable

• VariableEntry

• VariableImpactExplanation

• VariableImportanceMetrics