After binding the inputs, you call EvaluateAsync on the session. This returns a LearningModelEvaluationResult object. This object contains the outputs—predictions, classifications, or generated data—mapped by the names defined in the model.
# Install Windows ML C# NuGet package (for .NET apps) dotnet add package Microsoft.AI.MachineLearning windows.ai.machinelearning
The windows.ai.machinelearning namespace empowers Windows developers to reclaim control. It is a direct line to the raw compute power sitting idle in the user’s PC case. By adopting WinML, you build applications that are faster, private by default, and functional anywhere—even in a bunker with no Wi-Fi. After binding the inputs, you call EvaluateAsync on
Adobe uses WinML locally for "Auto Tone" and "Subject Selection." When you click "Auto," the model analyzes the photo instantly without uploading your RAW files to Adobe's servers. # Install Windows ML C# NuGet package (for
private LearningModelSession session; private LearningModelBinding binding;