LearningModelPreview.EvaluateFeaturesAsync 方法
定義
重要
部分資訊涉及發行前產品,在發行之前可能會有大幅修改。 Microsoft 對此處提供的資訊,不做任何明確或隱含的瑕疵擔保。
已取代。 以非同步方式評估名稱變數實例作為模型的輸入和輸出。
public:
virtual IAsyncOperation<LearningModelEvaluationResultPreview ^> ^ EvaluateFeaturesAsync(IMap<Platform::String ^, Platform::Object ^> ^ features, Platform::String ^ correlationId) = EvaluateFeaturesAsync;
/// [Windows.Foundation.Metadata.RemoteAsync]
IAsyncOperation<LearningModelEvaluationResultPreview> EvaluateFeaturesAsync(IMap<winrt::hstring, IInspectable const&> const& features, winrt::hstring const& correlationId);
/// [Windows.Foundation.Metadata.RemoteAsync]
/// [Windows.Foundation.Metadata.Deprecated("Use ILearningModel instead of ILearningModelPreview. For more info, see MSDN.", Windows.Foundation.Metadata.DeprecationType.Deprecate, 131072, "Windows.AI.MachineLearning.Preview.MachineLearningPreviewContract")]
IAsyncOperation<LearningModelEvaluationResultPreview> EvaluateFeaturesAsync(IMap<winrt::hstring, IInspectable const&> const& features, winrt::hstring const& correlationId);
[Windows.Foundation.Metadata.RemoteAsync]
public IAsyncOperation<LearningModelEvaluationResultPreview> EvaluateFeaturesAsync(IDictionary<string,object> features, string correlationId);
[Windows.Foundation.Metadata.RemoteAsync]
[Windows.Foundation.Metadata.Deprecated("Use ILearningModel instead of ILearningModelPreview. For more info, see MSDN.", Windows.Foundation.Metadata.DeprecationType.Deprecate, 131072, "Windows.AI.MachineLearning.Preview.MachineLearningPreviewContract")]
public IAsyncOperation<LearningModelEvaluationResultPreview> EvaluateFeaturesAsync(IDictionary<string,object> features, string correlationId);
function evaluateFeaturesAsync(features, correlationId)
Public Function EvaluateFeaturesAsync (features As IDictionary(Of String, Object), correlationId As String) As IAsyncOperation(Of LearningModelEvaluationResultPreview)
參數
- correlationId
-
String
Platform::String
winrt::hstring
將評估與輸出結果相互關聯的值。
傳回
評估結果。
- 屬性
備註
警告
這是已被取代的 API。 請改用 Windows.AI.MachineLearning 命名空間。
在評估之前,此方法會執行和內部檢查功能條件約束,並將功能系結為輸入。 這是另一種個別系結,然後評估模型,簡化工作區資源的驗證和建立。