LearningModel Class

Definition

Namespace:: Windows.AI.MachineLearning

Important

Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.

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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.

Represents a trained machine learning model.

public ref class LearningModel sealed : IClosable

/// [Windows.Foundation.Metadata.ContractVersion(Windows.AI.MachineLearning.MachineLearningContract, 65536)]
/// [Windows.Foundation.Metadata.MarshalingBehavior(Windows.Foundation.Metadata.MarshalingType.Agile)]
/// [Windows.Foundation.Metadata.Threading(Windows.Foundation.Metadata.ThreadingModel.Both)]
class LearningModel final : IClosable

[Windows.Foundation.Metadata.ContractVersion(typeof(Windows.AI.MachineLearning.MachineLearningContract), 65536)]
[Windows.Foundation.Metadata.MarshalingBehavior(Windows.Foundation.Metadata.MarshalingType.Agile)]
[Windows.Foundation.Metadata.Threading(Windows.Foundation.Metadata.ThreadingModel.Both)]
public sealed class LearningModel : System.IDisposable

Public NotInheritable Class LearningModel
Implements IDisposable

Inheritance: Object Platform::Object IInspectable LearningModel

Attributes: ContractVersionAttribute MarshalingBehaviorAttribute ThreadingAttribute

Implements: IClosable IDisposable

Windows requirements

Device family	Windows 10, version 1809 (introduced in 10.0.17763.0)
API contract	Windows.AI.MachineLearning.MachineLearningContract (introduced in v1.0)

Examples

The following example loads a model and creates an evaluation session with it.

private async Task LoadModelAsync(string _modelFileName)
{
    LearningModel _model;
    LearningModelSession _session;

    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);

    }
    catch (Exception ex)
    {
        StatusBlock.Text = $"error: {ex.Message}";
        _model = null;
    }
}

Remarks

This is the main object you use to interact with Windows ML. You use it to load, bind, and evaluate trained ONNX models:

Load the model using one of the Load* constructors.
Enumerate the InputFeatures and OutputFeatures and bind to your model.
Create a LearningModelSession and evalaute.

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.

Properties

Author	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. The name of the model author.
Description	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. A description of the model.
Domain	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. The ___domain of the model.
InputFeatures	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. A list of the model's input features.
Metadata	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. The raw <string,string> metadata from the ONNX model.
Name	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. The name of the model.
OutputFeatures	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. A list of the model's output features.
Version	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. The version of the model.

Methods

Close()	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. Releases the in-memory ONNX model. After calling this, you cannot create any more LearningModelSession objects.
Dispose()	Performs application-defined tasks associated with freeing, releasing, or resetting unmanaged resources.
LoadFromFilePath(String, ILearningModelOperatorProvider)	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. Loads an ONNX model from a file on disk.
LoadFromFilePath(String)	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. Loads an ONNX model from a file on disk.
LoadFromStorageFileAsync(IStorageFile, ILearningModelOperatorProvider)	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. Loads an ONNX model from an IStorageFile asynchronously.
LoadFromStorageFileAsync(IStorageFile)	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. Loads an ONNX model from an IStorageFile asynchronously.
LoadFromStream(IRandomAccessStreamReference, ILearningModelOperatorProvider)	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. Loads an ONNX model from a stream.
LoadFromStream(IRandomAccessStreamReference)	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. Loads an ONNX model from a stream.
LoadFromStreamAsync(IRandomAccessStreamReference, ILearningModelOperatorProvider)	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. Loads an ONNX model from a stream asynchronously.
LoadFromStreamAsync(IRandomAccessStreamReference)	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. Loads an ONNX model from a stream asynchronously.

Applies to

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