Microsoft.ML.Transforms.Onnx Namespace
Important
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Namespace containing ONNX model loading and transformation components.
Classes
| DnnImageFeaturizerEstimator |
Applies a pre-trained deep neural network (DNN) model to featurize input image data. |
| DnnImageFeaturizerInput |
Helper class for storing all the inputs to an extension method on a DnnImageModelSelector required to return a chain of two OnnxScoringEstimator. |
| DnnImageModelSelector |
Helper class for selecting a pre-trained DNN image featurization model to use in the DnnImageFeaturizerEstimator. |
| OnnxMapType |
The corresponding Type of ONNX's map type in IDataView's type system. In other words, if an ONNX model produces a map, a column in IDataView may be typed to OnnxMapType. Its underlying type is IDictionary<TKey,TValue>, where the generic type "TKey" and "TValue" are the input arguments of OnnxMapType(Type, Type). |
| OnnxMapTypeAttribute |
To declare OnnxMapType column in IDataView as a field
in a |
| OnnxOptions |
The options for an OnnxScoringEstimator. |
| OnnxScoringEstimator |
IEstimator<TTransformer> for scoring ONNX models in the ML.NET framework. |
| OnnxSequenceType |
The corresponding Type of ONNX's sequence type in IDataView's type system. In other words, if an ONNX model produces a sequence, a column in IDataView may be typed to OnnxSequenceType. Its underlying type is IEnumerable<T>, where the generic type "T" is the input argument of OnnxSequenceType(Type). |
| OnnxSequenceTypeAttribute |
To declare OnnxSequenceType column in IDataView as a field
in a |
| OnnxTransformer |
ITransformer resulting from fitting an OnnxScoringEstimator. Please refer to OnnxScoringEstimator to learn more about the necessary dependencies, and how to run it on a GPU. |