Class: Aws::FraudDetector::Types::TrainingResultV2

Inherits:
Struct
  • Object
show all
Defined in:
gems/aws-sdk-frauddetector/lib/aws-sdk-frauddetector/types.rb

Overview

The training result details.

Constant Summary collapse

SENSITIVE =
[]

Instance Attribute Summary collapse

Instance Attribute Details

#aggregated_variables_importance_metricsTypes::AggregatedVariablesImportanceMetrics

The variable importance metrics of the aggregated variables.

Account Takeover Insights (ATI) model uses event variables from the login data you provide to continuously calculate a set of variables (aggregated variables) based on historical events. For example, your ATI model might calculate the number of times an user has logged in using the same IP address. In this case, event variables used to derive the aggregated variables are IP address and user.



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# File 'gems/aws-sdk-frauddetector/lib/aws-sdk-frauddetector/types.rb', line 4483

class TrainingResultV2 < Struct.new(
  :data_validation_metrics,
  :training_metrics_v2,
  :variable_importance_metrics,
  :aggregated_variables_importance_metrics)
  SENSITIVE = []
  include Aws::Structure
end

#data_validation_metricsTypes::DataValidationMetrics

The model training data validation metrics.



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# File 'gems/aws-sdk-frauddetector/lib/aws-sdk-frauddetector/types.rb', line 4483

class TrainingResultV2 < Struct.new(
  :data_validation_metrics,
  :training_metrics_v2,
  :variable_importance_metrics,
  :aggregated_variables_importance_metrics)
  SENSITIVE = []
  include Aws::Structure
end

#training_metrics_v2Types::TrainingMetricsV2

The training metric details.



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# File 'gems/aws-sdk-frauddetector/lib/aws-sdk-frauddetector/types.rb', line 4483

class TrainingResultV2 < Struct.new(
  :data_validation_metrics,
  :training_metrics_v2,
  :variable_importance_metrics,
  :aggregated_variables_importance_metrics)
  SENSITIVE = []
  include Aws::Structure
end

#variable_importance_metricsTypes::VariableImportanceMetrics

The variable importance metrics details.



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# File 'gems/aws-sdk-frauddetector/lib/aws-sdk-frauddetector/types.rb', line 4483

class TrainingResultV2 < Struct.new(
  :data_validation_metrics,
  :training_metrics_v2,
  :variable_importance_metrics,
  :aggregated_variables_importance_metrics)
  SENSITIVE = []
  include Aws::Structure
end