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LearningModelSession.EvaluateFeaturesAsync Method

Definition

Important

For the latest documentation about Windows Machine Learning, see What is Windows ML. That documentation describes APIs that are in the Microsoft.Windows.AI.MachineLearning namespace, which ships in the Windows App SDK. Those APIs supersede the ones documented here, which are in the Windows.AI.MachineLearning namespace, and were shipped in 2018.

Asynchronously evaluate the machine learning model using the feature values in features.

public:
 virtual IAsyncOperation<LearningModelEvaluationResult ^> ^ EvaluateFeaturesAsync(IMap<Platform::String ^, Platform::Object ^> ^ features, Platform::String ^ correlationId) = EvaluateFeaturesAsync;
/// [Windows.Foundation.Metadata.RemoteAsync]
IAsyncOperation<LearningModelEvaluationResult> EvaluateFeaturesAsync(IMap<winrt::hstring, IInspectable const&> const& features, winrt::hstring const& correlationId);
[Windows.Foundation.Metadata.RemoteAsync]
public IAsyncOperation<LearningModelEvaluationResult> 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 LearningModelEvaluationResult)

Parameters

features

IMap<String,Object>

IDictionary<String,Object>

IMap<Platform::String,Platform::Object>

IMap<winrt::hstring,IInspectable>

A map of features with which to evaluate the model.

correlationId
String

Platform::String

winrt::hstring

Optional user supplied string to connect the output results.

Returns

The result of the evaluation.

Attributes

Remarks

This method is an alternative to the separated bind then evaluate form that takes a LearningModelBinding. It will take the passed in features, create a LearningModelBinding for you, bind the features, and then evaluate the model.

Windows Server

To use this API on Windows Server, you must use Windows Server 2019 with Desktop Experience.

Thread safety

This API is thread-safe.

Applies to