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LearningModel.OutputFeatures Properti

Definisi

Daftar fitur output model.

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)

Nilai Properti

Daftar fitur output model.

Contoh

Contoh berikut memuat model, membuat sesi evaluasi dengan model, dan mendapatkan fitur input dan output 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;
    }
}

Keterangan

Windows Server

Untuk menggunakan API ini di Windows Server, Anda harus menggunakan Windows Server 2019 dengan Pengalaman Desktop.

Keamanan utas

API ini aman untuk utas.

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