Package org.tribuo.interop.onnx

package org.tribuo.interop.onnx

This package contains a Tribuo wrapper around the ONNX Runtime.

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.

Related Packages

Package	Description
org.tribuo.interop	This package contains the abstract implementation of an external model trained by something outside of Tribuo.
org.tribuo.interop.onnx.extractors	Provides feature extraction implementations which use ONNX models.
org.tribuo.interop.oci	Code for uploading models to Oracle Cloud Infrastructure Data Science, and also for scoring models deployed in Oracle Cloud Infrastructure Data Science.
org.tribuo.interop.tensorflow	Provides an interface to TensorFlow, allowing the training of non-sequential models using any supported Tribuo output type.

Class	Description
DenseTransformer	Converts a sparse Tribuo example into a dense float vector, then wraps it in an OnnxTensor.
ExampleTransformer	Transforms a SparseVector, extracting the features from it as a OnnxTensor.
ImageTransformer	Image transformer.
LabelOneVOneTransformer	Can convert an OnnxValue into a Prediction or a Label.
LabelTransformer	Can convert an OnnxValue into a Prediction or a Label.
MultiLabelTransformer	Can convert an OnnxValue into a Prediction or a MultiLabel.
ONNXExternalModel<T extends Output<T>>	A Tribuo wrapper around a ONNX model.
OutputTransformer<T extends Output<T>>	Converts an OnnxValue into an Output or a Prediction.
RegressorTransformer	Can convert an OnnxValue into a Prediction or Regressor.