public sealed class BacktestResult.Types.PerformanceTarget : IMessage<BacktestResult.Types.PerformanceTarget>, IEquatable<BacktestResult.Types.PerformanceTarget>, IDeepCloneable<BacktestResult.Types.PerformanceTarget>, IBufferMessage, IMessageReference documentation and code samples for the Financial Services v1 API class BacktestResult.Types.PerformanceTarget.
PerformanceTarget gives hints on how to evaluate the performance of a model.
Implements
IMessageBacktestResultTypesPerformanceTarget, IEquatableBacktestResultTypesPerformanceTarget, IDeepCloneableBacktestResultTypesPerformanceTarget, IBufferMessage, IMessageNamespace
Google.Cloud.FinancialServices.V1Assembly
Google.Cloud.FinancialServices.V1.dll
Constructors
PerformanceTarget()
public PerformanceTarget()PerformanceTarget(PerformanceTarget)
public PerformanceTarget(BacktestResult.Types.PerformanceTarget other)| Parameter | |
|---|---|
| Name | Description |
other |
BacktestResultTypesPerformanceTarget |
Properties
PartyInvestigationsPerPeriodHint
public long PartyInvestigationsPerPeriodHint { get; set; }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.
| Property Value | |
|---|---|
| Type | Description |
long |
|