Reference documentation and code samples for the Financial Services V1 API class Google::Cloud::FinancialServices::V1::EngineConfig::PerformanceTarget.
PerformanceTarget gives hints on how to evaluate the performance of a model.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#party_investigations_per_period_hint
def party_investigations_per_period_hint() -> ::Integer
Returns
- (::Integer) — Required. A number that gives the tuner a hint on the number of parties from this data that will be investigated per period (monthly). This is used to control how the model is evaluated. For example, when trying AML AI for the first time, we recommend setting this to the number of parties investigated in an average month, based on alerts from your existing automated alerting system.
#party_investigations_per_period_hint=
def party_investigations_per_period_hint=(value) -> ::Integer
Parameter
- value (::Integer) — Required. A number that gives the tuner a hint on the number of parties from this data that will be investigated per period (monthly). This is used to control how the model is evaluated. For example, when trying AML AI for the first time, we recommend setting this to the number of parties investigated in an average month, based on alerts from your existing automated alerting system.
Returns
- (::Integer) — Required. A number that gives the tuner a hint on the number of parties from this data that will be investigated per period (monthly). This is used to control how the model is evaluated. For example, when trying AML AI for the first time, we recommend setting this to the number of parties investigated in an average month, based on alerts from your existing automated alerting system.