Uses of Class
org.tribuo.util.onnx.ONNXNode

Packages that use ONNXNode

Package	Description
org.tribuo	Provides the core interfaces and classes for using Tribuo.
org.tribuo.classification.ensemble	Provides majority vote ensemble combiners for classification along with an implementation of multiclass Adaboost.
org.tribuo.classification.liblinear	Provides an interface to LibLinear-java for classification problems.
org.tribuo.classification.libsvm	Provides an interface to LibSVM for classification problems.
org.tribuo.classification.sgd.fm	Provides an implementation of a classification factorization machine using Stochastic Gradient Descent.
org.tribuo.classification.sgd.linear	Provides an implementation of a classification linear model using Stochastic Gradient Descent.
org.tribuo.common.sgd	Provides the base classes for models trained with stochastic gradient descent.
org.tribuo.ensemble	Provides an interface for model prediction combinations, two base classes for ensemble models, a base class for ensemble excuses, and a Bagging implementation.
org.tribuo.math.util	Provides math related util classes.
org.tribuo.multilabel.ensemble	Provides a multi-label ensemble combiner that performs a (possibly weighted) majority vote among each label independently, along with an implementation of classifier chain ensembles.
org.tribuo.multilabel.sgd.fm	Provides an implementation of a multi-label classification factorization machine model using Stochastic Gradient Descent.
org.tribuo.multilabel.sgd.linear	Provides an implementation of a multi-label classification linear model using Stochastic Gradient Descent.
org.tribuo.regression.ensemble	Provides EnsembleCombiner implementations for working with multi-output regression problems.
org.tribuo.regression.liblinear	Provides an interface to liblinear for regression problems.
org.tribuo.regression.libsvm	Provides an interface to LibSVM for regression problems.
org.tribuo.regression.sgd.fm	Provides an implementation of factorization machines for regression using Stochastic Gradient Descent.
org.tribuo.regression.sgd.linear	Provides an implementation of linear regression using Stochastic Gradient Descent.
org.tribuo.regression.slm	Provides implementations of sparse linear regression using various forms of regularisation penalty.
org.tribuo.util.onnx	Interfaces and utilities for writing ONNX models from Java.

Uses of ONNXNode in org.tribuo

Methods in org.tribuo that return ONNXNode

Modifier and Type	Method	Description
ONNXNode	ONNXExportable.writeONNXGraph(ONNXRef<?> input)	Writes this Model into OnnxMl.GraphProto.Builder inside the input's ONNXContext.

Uses of ONNXNode in org.tribuo.classification.ensemble

Methods in org.tribuo.classification.ensemble that return ONNXNode

Modifier and Type	Method	Description
ONNXNode	FullyWeightedVotingCombiner.exportCombiner(ONNXNode input)	Exports this voting combiner to ONNX.
<T extends ONNXRef<?>> ONNXNode	FullyWeightedVotingCombiner.exportCombiner(ONNXNode input, T weight)	Exports this voting combiner to ONNX.
ONNXNode	VotingCombiner.exportCombiner(ONNXNode input)	Exports this voting combiner to ONNX.
<T extends ONNXRef<?>> ONNXNode	VotingCombiner.exportCombiner(ONNXNode input, T weight)	Exports this voting combiner to ONNX

Methods in org.tribuo.classification.ensemble with parameters of type ONNXNode

Modifier and Type	Method	Description
ONNXNode	FullyWeightedVotingCombiner.exportCombiner(ONNXNode input)	Exports this voting combiner to ONNX.
<T extends ONNXRef<?>> ONNXNode	FullyWeightedVotingCombiner.exportCombiner(ONNXNode input, T weight)	Exports this voting combiner to ONNX.
ONNXNode	VotingCombiner.exportCombiner(ONNXNode input)	Exports this voting combiner to ONNX.
<T extends ONNXRef<?>> ONNXNode	VotingCombiner.exportCombiner(ONNXNode input, T weight)	Exports this voting combiner to ONNX

Uses of ONNXNode in org.tribuo.classification.liblinear

Methods in org.tribuo.classification.liblinear that return ONNXNode

Modifier and Type	Method	Description
ONNXNode	LibLinearClassificationModel.writeONNXGraph(ONNXRef<?> input)

Uses of ONNXNode in org.tribuo.classification.libsvm

Methods in org.tribuo.classification.libsvm that return ONNXNode

Modifier and Type	Method	Description
ONNXNode	LibSVMClassificationModel.writeONNXGraph(ONNXRef<?> input)

Uses of ONNXNode in org.tribuo.classification.sgd.fm

Methods in org.tribuo.classification.sgd.fm that return ONNXNode

Modifier and Type	Method	Description
protected ONNXNode	FMClassificationModel.onnxOutput(ONNXNode input)

Methods in org.tribuo.classification.sgd.fm with parameters of type ONNXNode

Modifier and Type	Method	Description
protected ONNXNode	FMClassificationModel.onnxOutput(ONNXNode input)

Uses of ONNXNode in org.tribuo.classification.sgd.linear

Methods in org.tribuo.classification.sgd.linear that return ONNXNode

Modifier and Type	Method	Description
protected ONNXNode	LinearSGDModel.onnxOutput(ONNXNode input)

Methods in org.tribuo.classification.sgd.linear with parameters of type ONNXNode

Modifier and Type	Method	Description
protected ONNXNode	LinearSGDModel.onnxOutput(ONNXNode input)

Uses of ONNXNode in org.tribuo.common.sgd

Methods in org.tribuo.common.sgd that return ONNXNode

Modifier and Type	Method	Description
protected abstract ONNXNode	AbstractFMModel.onnxOutput(ONNXNode input)	Takes the unnormalized ONNX output of this model and applies an appropriate normalizer from the concrete class.
protected abstract ONNXNode	AbstractLinearSGDModel.onnxOutput(ONNXNode input)	Takes the unnormalized ONNX output of this model and applies an appropriate normalizer from the concrete class.
ONNXNode	AbstractFMModel.writeONNXGraph(ONNXRef<?> input)	Writes this Model into OnnxMl.GraphProto.Builder inside the input's ONNXContext.
ONNXNode	AbstractLinearSGDModel.writeONNXGraph(ONNXRef<?> input)	Writes this Model into OnnxMl.GraphProto.Builder inside the input's ONNXContext.

Methods in org.tribuo.common.sgd with parameters of type ONNXNode

Modifier and Type	Method	Description
protected abstract ONNXNode	AbstractFMModel.onnxOutput(ONNXNode input)	Takes the unnormalized ONNX output of this model and applies an appropriate normalizer from the concrete class.
protected abstract ONNXNode	AbstractLinearSGDModel.onnxOutput(ONNXNode input)	Takes the unnormalized ONNX output of this model and applies an appropriate normalizer from the concrete class.

Uses of ONNXNode in org.tribuo.ensemble

Methods in org.tribuo.ensemble that return ONNXNode

Modifier and Type	Method	Description
default ONNXNode	EnsembleCombiner.exportCombiner(ONNXNode input)	Exports this ensemble combiner into the ONNX context of its input.
default <U extends ONNXRef<?>> ONNXNode	EnsembleCombiner.exportCombiner(ONNXNode input, U weight)	Exports this ensemble combiner into the ONNX context of its input.
ONNXNode	WeightedEnsembleModel.writeONNXGraph(ONNXRef<?> input)

Methods in org.tribuo.ensemble with parameters of type ONNXNode

Modifier and Type	Method	Description
default ONNXNode	EnsembleCombiner.exportCombiner(ONNXNode input)	Exports this ensemble combiner into the ONNX context of its input.
default <U extends ONNXRef<?>> ONNXNode	EnsembleCombiner.exportCombiner(ONNXNode input, U weight)	Exports this ensemble combiner into the ONNX context of its input.

Uses of ONNXNode in org.tribuo.math.util

Methods in org.tribuo.math.util that return ONNXNode

Modifier and Type	Method	Description
ONNXNode	ExpNormalizer.exportNormalizer(ONNXNode input)	Returns the ONNX softmax node over the 2nd dimension.
ONNXNode	NoopNormalizer.exportNormalizer(ONNXNode input)	Returns its input.
ONNXNode	Normalizer.exportNormalizer(ONNXNode input)	Applies ONNX ReduceMin, Sub, ReduceSum, and Div operations to input.
ONNXNode	SigmoidNormalizer.exportNormalizer(ONNXNode input)	Returns the ONNX sigmoid node, operating independently over each element.
default ONNXNode	VectorNormalizer.exportNormalizer(ONNXNode input)	Exports this normalizer to ONNX, returning the leaf of the appended graph and writing the nodes needed for normalization into the ONNXContext that input belongs to.

Methods in org.tribuo.math.util with parameters of type ONNXNode

Modifier and Type	Method	Description
ONNXNode	ExpNormalizer.exportNormalizer(ONNXNode input)	Returns the ONNX softmax node over the 2nd dimension.
ONNXNode	NoopNormalizer.exportNormalizer(ONNXNode input)	Returns its input.
ONNXNode	Normalizer.exportNormalizer(ONNXNode input)	Applies ONNX ReduceMin, Sub, ReduceSum, and Div operations to input.
ONNXNode	SigmoidNormalizer.exportNormalizer(ONNXNode input)	Returns the ONNX sigmoid node, operating independently over each element.
default ONNXNode	VectorNormalizer.exportNormalizer(ONNXNode input)	Exports this normalizer to ONNX, returning the leaf of the appended graph and writing the nodes needed for normalization into the ONNXContext that input belongs to.

Uses of ONNXNode in org.tribuo.multilabel.ensemble

Methods in org.tribuo.multilabel.ensemble that return ONNXNode

Modifier and Type	Method	Description
ONNXNode	MultiLabelVotingCombiner.exportCombiner(ONNXNode input)	Exports this voting combiner to ONNX.
<T extends ONNXRef<?>> ONNXNode	MultiLabelVotingCombiner.exportCombiner(ONNXNode input, T weight)	Exports this voting combiner to ONNX

Methods in org.tribuo.multilabel.ensemble with parameters of type ONNXNode

Modifier and Type	Method	Description
ONNXNode	MultiLabelVotingCombiner.exportCombiner(ONNXNode input)	Exports this voting combiner to ONNX.
<T extends ONNXRef<?>> ONNXNode	MultiLabelVotingCombiner.exportCombiner(ONNXNode input, T weight)	Exports this voting combiner to ONNX

Uses of ONNXNode in org.tribuo.multilabel.sgd.fm

Methods in org.tribuo.multilabel.sgd.fm that return ONNXNode

Modifier and Type	Method	Description
protected ONNXNode	FMMultiLabelModel.onnxOutput(ONNXNode input)

Methods in org.tribuo.multilabel.sgd.fm with parameters of type ONNXNode

Modifier and Type	Method	Description
protected ONNXNode	FMMultiLabelModel.onnxOutput(ONNXNode input)

Uses of ONNXNode in org.tribuo.multilabel.sgd.linear

Methods in org.tribuo.multilabel.sgd.linear that return ONNXNode

Modifier and Type	Method	Description
protected ONNXNode	LinearSGDModel.onnxOutput(ONNXNode input)

Methods in org.tribuo.multilabel.sgd.linear with parameters of type ONNXNode

Modifier and Type	Method	Description
protected ONNXNode	LinearSGDModel.onnxOutput(ONNXNode input)

Uses of ONNXNode in org.tribuo.regression.ensemble

Methods in org.tribuo.regression.ensemble that return ONNXNode

Modifier and Type	Method	Description
ONNXNode	AveragingCombiner.exportCombiner(ONNXNode input)	Exports this averaging combiner, writing constructed nodes into the ONNXContext governing input and returning the leaf node of the combiner.
<T extends ONNXRef<?>> ONNXNode	AveragingCombiner.exportCombiner(ONNXNode input, T weight)	Exports this averaging combiner, writing constructed nodes into the ONNXContext governing input and returning the leaf node of the combiner.

Methods in org.tribuo.regression.ensemble with parameters of type ONNXNode

Modifier and Type	Method	Description
ONNXNode	AveragingCombiner.exportCombiner(ONNXNode input)	Exports this averaging combiner, writing constructed nodes into the ONNXContext governing input and returning the leaf node of the combiner.
<T extends ONNXRef<?>> ONNXNode	AveragingCombiner.exportCombiner(ONNXNode input, T weight)	Exports this averaging combiner, writing constructed nodes into the ONNXContext governing input and returning the leaf node of the combiner.

Uses of ONNXNode in org.tribuo.regression.liblinear

Methods in org.tribuo.regression.liblinear that return ONNXNode

Modifier and Type	Method	Description
ONNXNode	LibLinearRegressionModel.writeONNXGraph(ONNXRef<?> input)

Uses of ONNXNode in org.tribuo.regression.libsvm

Methods in org.tribuo.regression.libsvm that return ONNXNode

Modifier and Type	Method	Description
ONNXNode	LibSVMRegressionModel.writeONNXGraph(ONNXRef<?> input)

Uses of ONNXNode in org.tribuo.regression.sgd.fm

Methods in org.tribuo.regression.sgd.fm that return ONNXNode

Modifier and Type	Method	Description
protected ONNXNode	FMRegressionModel.onnxOutput(ONNXNode fmOutput)

Methods in org.tribuo.regression.sgd.fm with parameters of type ONNXNode

Modifier and Type	Method	Description
protected ONNXNode	FMRegressionModel.onnxOutput(ONNXNode fmOutput)

Uses of ONNXNode in org.tribuo.regression.sgd.linear

Methods in org.tribuo.regression.sgd.linear that return ONNXNode

Modifier and Type	Method	Description
protected ONNXNode	LinearSGDModel.onnxOutput(ONNXNode input)

Methods in org.tribuo.regression.sgd.linear with parameters of type ONNXNode

Modifier and Type	Method	Description
protected ONNXNode	LinearSGDModel.onnxOutput(ONNXNode input)

Uses of ONNXNode in org.tribuo.regression.slm

Methods in org.tribuo.regression.slm that return ONNXNode

Modifier and Type	Method	Description
ONNXNode	SparseLinearModel.writeONNXGraph(ONNXRef<?> input)

Uses of ONNXNode in org.tribuo.util.onnx

Methods in org.tribuo.util.onnx that return ONNXNode

Modifier and Type	Method	Description
ONNXNode	ONNXRef.apply(ONNXOperators op)	Convenience method that calls ONNXContext.operation(ONNXOperators, List, String), using this ONNXRef as the argument to inputs.
ONNXNode	ONNXRef.apply(ONNXOperators op, String outputName)	Convenience method that calls ONNXContext.operation(ONNXOperators, List, String), using this ONNXRef as the argument to inputs.
ONNXNode	ONNXRef.apply(ONNXOperators op, List<ONNXRef<?>> others)	Convenience method that calls ONNXContext.operation(ONNXOperators, List, String, Map), using this ONNXRef as the first argument to inputs, with otherInputs append as subsequent arguments.
ONNXNode	ONNXRef.apply(ONNXOperators op, List<ONNXRef<?>> others, String outputName)	Convenience method that calls ONNXContext.operation(ONNXOperators, List, String, Map), using this ONNXRef as the argument to inputs, with otherInputs append as subsequent arguments.
ONNXNode	ONNXRef.apply(ONNXOperators op, Map<String,Object> attributes)	Convenience method that calls ONNXContext.operation(ONNXOperators, List, String, Map), using this ONNXRef as the argument to inputs.
ONNXNode	ONNXRef.apply(ONNXOperators op, ONNXRef<?> other)	Convenience method that calls ONNXContext.operation(ONNXOperators, List, String, Map), passing this ONNXRef and other as a length 2 list to inputs.
ONNXNode	ONNXRef.apply(ONNXOperators op, ONNXRef<?> other, String outputName)	Convenience method that calls ONNXContext.operation(ONNXOperators, List, String), passing this ONNXRef and other as a length 2 list to inputs.
ONNXNode	ONNXRef.apply(ONNXOperators op, ONNXRef<?> other, Map<String,Object> attributes)	Convenience method that calls ONNXContext.operation(ONNXOperators, List, String, Map), passing this ONNXRef and other as a length 2 list to inputs.
ONNXNode	ONNXRef.cast(Class<?> clazz)	Casts this ONNXRef to a different type using the ONNXOperators.CAST operation, and returning the output node of that op.
<T extends ONNXRef<?>> ONNXNode	ONNXContext.operation(ONNXOperators op, List<T> inputs, String outputName)	Method for creating ONNXNodes from ONNXOperators and inputs.
<T extends ONNXRef<?>> ONNXNode	ONNXContext.operation(ONNXOperators op, List<T> inputs, String outputName, Map<String,Object> attributes)	Method for creating ONNXNodes from ONNXOperators and inputs.

Methods in org.tribuo.util.onnx that return types with arguments of type ONNXNode

Modifier and Type	Method	Description
List<ONNXNode>	ONNXRef.apply(ONNXOperators op, List<String> outputs, Map<String,Object> attributes)	Convenience method that calls ONNXContext.operation(ONNXOperators, List, List, Map), using this ONNXRef as the argument to inputs.
List<ONNXNode>	ONNXRef.apply(ONNXOperators op, List<ONNXRef<?>> otherInputs, List<String> outputs, Map<String,Object> attributes)	Convenience method that calls ONNXContext.operation(ONNXOperators, List, List, Map), using this ONNXRef as the first argument to inputs, with otherInputs append as subsequent arguments.
<T extends ONNXRef<?>> List<ONNXNode>	ONNXContext.operation(ONNXOperators op, List<T> inputs, List<String> outputs, Map<String,Object> attributes)	Base method for creating ONNXNodes from ONNXOperators and inputs.