Class: Aws::FraudDetector::Types::GetEventPredictionResult

Inherits:

Struct

• Object
• Struct
• Aws::FraudDetector::Types::GetEventPredictionResult

Includes:

Structure

Defined in:

lib/aws-sdk-frauddetector/types.rb

Overview

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #external_model_outputs ⇒ Array<Types::ExternalModelOutputs>

  The model scores for Amazon SageMaker models.

• #model_scores ⇒ Array<Types::ModelScores>

  The model scores.

• #rule_results ⇒ Array<Types::RuleResult>

  The results from the rules.

Instance Attribute Details

#external_model_outputs ⇒ Array<Types::ExternalModelOutputs>

The model scores for Amazon SageMaker models.

Returns:

• (Array<Types::ExternalModelOutputs>)

# File 'lib/aws-sdk-frauddetector/types.rb', line 2535

class GetEventPredictionResult < Struct.new(
  :model_scores,
  :rule_results,
  :external_model_outputs)
  SENSITIVE = []
  include Aws::Structure
end

#model_scores ⇒ Array<Types::ModelScores>

The model scores. Amazon Fraud Detector generates model scores between 0 and 1000, where 0 is low fraud risk and 1000 is high fraud risk. Model scores are directly related to the false positive rate (FPR). For example, a score of 600 corresponds to an estimated 10% false positive rate whereas a score of 900 corresponds to an estimated 2% false positive rate.

Returns:

• (Array<Types::ModelScores>)

# File 'lib/aws-sdk-frauddetector/types.rb', line 2535

class GetEventPredictionResult < Struct.new(
  :model_scores,
  :rule_results,
  :external_model_outputs)
  SENSITIVE = []
  include Aws::Structure
end

#rule_results ⇒ Array<Types::RuleResult>

The results from the rules.

Returns:

• (Array<Types::RuleResult>)

# File 'lib/aws-sdk-frauddetector/types.rb', line 2535

class GetEventPredictionResult < Struct.new(
  :model_scores,
  :rule_results,
  :external_model_outputs)
  SENSITIVE = []
  include Aws::Structure
end