See: Description
Interface | Description |
---|---|
ExampleTransformer |
Transforms a
SparseVector , extracting the features from it as a OnnxTensor . |
OutputTransformer<T extends Output<T>> |
Class | Description |
---|---|
DenseTransformer |
Converts a sparse Tribuo example into a dense float vector, then wraps it in an
OnnxTensor . |
ImageTransformer |
Image transformer.
|
LabelTransformer | |
ONNXExternalModel<T extends Output<T>> |
A Tribuo wrapper around a ONNX model.
|
RegressorTransformer |
The ONNX Runtime allows the deployment of models trained in scikit-learn, pytorch and other packages without requiring them to be present at runtime.
N.B. ONNX support is experimental, and may change without a major version bump.
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