LearningModel.OutputFeatures Property

Definition

Namespace:

Windows.AI.MachineLearning

A list of the model's output features.

public:
 property IVectorView<ILearningModelFeatureDescriptor ^> ^ OutputFeatures { IVectorView<ILearningModelFeatureDescriptor ^> ^ get(); };

IVectorView<ILearningModelFeatureDescriptor> OutputFeatures();

public IReadOnlyList<ILearningModelFeatureDescriptor> OutputFeatures { get; }

var iVectorView = learningModel.outputFeatures;

Public ReadOnly Property OutputFeatures As IReadOnlyList(Of ILearningModelFeatureDescriptor)

Property Value

IVectorView<ILearningModelFeatureDescriptor>

IReadOnlyList<ILearningModelFeatureDescriptor>

A list of the model's output features.

Examples

The following example loads the model, creates an evaluation session with the model, and gets the input and output features of the model.

private async Task LoadModelAsync(string _modelFileName)
{
    LearningModel _model;
    LearningModelSession _session;
    ImageFeatureDescriptor _inputImageDescription;
    TensorFeatureDescriptor _outputImageDescription;

    try
    {
        // Load and create the model
        var modelFile = 
            await StorageFile.GetFileFromApplicationUriAsync(new Uri($"ms-appx:///Assets/{_modelFileName}"));
        _model = await LearningModel.LoadFromStorageFileAsync(modelFile);

        // Create the evaluation session with the model
        _session = new LearningModelSession(_model);

        //Get input and output features of the model
        List<ILearningModelFeatureDescriptor> inputFeatures = _model.InputFeatures.ToList();
        List<ILearningModelFeatureDescriptor> outputFeatures = _model.OutputFeatures.ToList();

        // Retrieve the first input feature which is an image
        _inputImageDescription = inputFeatures.FirstOrDefault(
            feature => feature.Kind == LearningModelFeatureKind.Image) as ImageFeatureDescriptor;

        // Retrieve the first output feature which is a tensor
        _outputImageDescription = outputFeatures.FirstOrDefault(
            feature => feature.Kind == LearningModelFeatureKind.Tensor) as TensorFeatureDescriptor;
    }
    catch (Exception ex)
    {
        StatusBlock.Text = $"error: {ex.Message}";
        _model = null;
    }
}

Remarks

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.