Uses of Class
onnx.OnnxMl.TrainingInfoProto.Builder

Packages that use OnnxMl.TrainingInfoProto.Builder

Package	Description
onnx

Uses of OnnxMl.TrainingInfoProto.Builder in onnx

Methods in onnx that return OnnxMl.TrainingInfoProto.Builder

Modifier and Type	Method	Description
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.addAllInitializationBinding(Iterable<? extends OnnxMl.StringStringEntryProto> values)	This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.addAllUpdateBinding(Iterable<? extends OnnxMl.StringStringEntryProto> values)	Gradient-based training is usually an iterative procedure.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.addInitializationBinding(int index, OnnxMl.StringStringEntryProto value)	This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.addInitializationBinding(int index, OnnxMl.StringStringEntryProto.Builder builderForValue)	This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.addInitializationBinding(OnnxMl.StringStringEntryProto value)	This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.addInitializationBinding(OnnxMl.StringStringEntryProto.Builder builderForValue)	This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.addRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
OnnxMl.TrainingInfoProto.Builder	OnnxMl.ModelProto.Builder.addTrainingInfoBuilder()	Training-specific information.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.ModelProto.Builder.addTrainingInfoBuilder(int index)	Training-specific information.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.addUpdateBinding(int index, OnnxMl.StringStringEntryProto value)	Gradient-based training is usually an iterative procedure.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.addUpdateBinding(int index, OnnxMl.StringStringEntryProto.Builder builderForValue)	Gradient-based training is usually an iterative procedure.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.addUpdateBinding(OnnxMl.StringStringEntryProto value)	Gradient-based training is usually an iterative procedure.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.addUpdateBinding(OnnxMl.StringStringEntryProto.Builder builderForValue)	Gradient-based training is usually an iterative procedure.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.clear()
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.clearAlgorithm()	This field represents a training algorithm step.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.clearField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field)
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.clearInitialization()	This field describes a graph to compute the initial tensors upon starting the training process.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.clearInitializationBinding()	This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.clearOneof(org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof)
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.clearUpdateBinding()	Gradient-based training is usually an iterative procedure.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.clone()
OnnxMl.TrainingInfoProto.Builder	OnnxMl.ModelProto.Builder.getTrainingInfoBuilder(int index)	Training-specific information.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.mergeAlgorithm(OnnxMl.GraphProto value)	This field represents a training algorithm step.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.mergeFrom(OnnxMl.TrainingInfoProto other)
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.mergeFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.mergeFrom(org.nd4j.shade.protobuf.Message other)
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.mergeInitialization(OnnxMl.GraphProto value)	This field describes a graph to compute the initial tensors upon starting the training process.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.mergeUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
static OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.newBuilder()
static OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.newBuilder(OnnxMl.TrainingInfoProto prototype)
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.newBuilderForType()
protected OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.newBuilderForType(org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent)
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.removeInitializationBinding(int index)	This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.removeUpdateBinding(int index)	Gradient-based training is usually an iterative procedure.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.setAlgorithm(OnnxMl.GraphProto value)	This field represents a training algorithm step.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.setAlgorithm(OnnxMl.GraphProto.Builder builderForValue)	This field represents a training algorithm step.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.setField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.setInitialization(OnnxMl.GraphProto value)	This field describes a graph to compute the initial tensors upon starting the training process.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.setInitialization(OnnxMl.GraphProto.Builder builderForValue)	This field describes a graph to compute the initial tensors upon starting the training process.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.setInitializationBinding(int index, OnnxMl.StringStringEntryProto value)	This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.setInitializationBinding(int index, OnnxMl.StringStringEntryProto.Builder builderForValue)	This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.setRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.setUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.setUpdateBinding(int index, OnnxMl.StringStringEntryProto value)	Gradient-based training is usually an iterative procedure.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.Builder.setUpdateBinding(int index, OnnxMl.StringStringEntryProto.Builder builderForValue)	Gradient-based training is usually an iterative procedure.
OnnxMl.TrainingInfoProto.Builder	OnnxMl.TrainingInfoProto.toBuilder()

Methods in onnx that return types with arguments of type OnnxMl.TrainingInfoProto.Builder

Modifier and Type	Method	Description
List<OnnxMl.TrainingInfoProto.Builder>	OnnxMl.ModelProto.Builder.getTrainingInfoBuilderList()	Training-specific information.

Methods in onnx with parameters of type OnnxMl.TrainingInfoProto.Builder

Modifier and Type	Method	Description
OnnxMl.ModelProto.Builder	OnnxMl.ModelProto.Builder.addTrainingInfo(int index, OnnxMl.TrainingInfoProto.Builder builderForValue)	Training-specific information.
OnnxMl.ModelProto.Builder	OnnxMl.ModelProto.Builder.addTrainingInfo(OnnxMl.TrainingInfoProto.Builder builderForValue)	Training-specific information.
OnnxMl.ModelProto.Builder	OnnxMl.ModelProto.Builder.setTrainingInfo(int index, OnnxMl.TrainingInfoProto.Builder builderForValue)	Training-specific information.