Class: Aws::FraudDetector::Types::AggregatedLogOddsMetric

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

Overview

The log odds metric details.

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`.

See Also:

Constant Summary collapse

SENSITIVE = 
[]

Instance Attribute Summary collapse

Instance Attribute Details

#aggregated_variables_importance ⇒ Float

The relative importance of the variables in the list to the other event variable.

Returns:

  • (Float) 


131
132
133
134
135
136
 
# File 'lib/aws-sdk-frauddetector/types.rb', line 131

class AggregatedLogOddsMetric < Struct.new(
  :variable_names,
  :aggregated_variables_importance)
  SENSITIVE = []
  include Aws::Structure
end

#variable_names ⇒ Array<String>

The names of all the variables.

Returns:

  • (Array<String>) 


131
132
133
134
135
136
 
# File 'lib/aws-sdk-frauddetector/types.rb', line 131

class AggregatedLogOddsMetric < Struct.new(
  :variable_names,
  :aggregated_variables_importance)
  SENSITIVE = []
  include Aws::Structure
end