Uses of Class
tensorflow.serving.Model.ModelSpec.Builder

Packages that use Model.ModelSpec.Builder

Package	Description
tensorflow.serving

Uses of Model.ModelSpec.Builder in tensorflow.serving

Methods in tensorflow.serving that return Model.ModelSpec.Builder

Modifier and Type	Method	Description
Model.ModelSpec.Builder	Model.ModelSpec.Builder.addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
Model.ModelSpec.Builder	Model.ModelSpec.Builder.clear()
Model.ModelSpec.Builder	Model.ModelSpec.Builder.clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
Model.ModelSpec.Builder	Model.ModelSpec.Builder.clearName()	Required servable name.
Model.ModelSpec.Builder	Model.ModelSpec.Builder.clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
Model.ModelSpec.Builder	Model.ModelSpec.Builder.clearSignatureName()	A named signature to evaluate.
Model.ModelSpec.Builder	Model.ModelSpec.Builder.clearVersion()	Use this specific version number.
Model.ModelSpec.Builder	Model.ModelSpec.Builder.clearVersionChoice()
Model.ModelSpec.Builder	Model.ModelSpec.Builder.clearVersionLabel()	Use the version associated with the given label.
Model.ModelSpec.Builder	Model.ModelSpec.Builder.clone()
Model.ModelSpec.Builder	Classification.ClassificationRequest.Builder.getModelSpecBuilder()	Model Specification.
Model.ModelSpec.Builder	Classification.ClassificationResponse.Builder.getModelSpecBuilder()	Effective Model Specification used for classification.
Model.ModelSpec.Builder	GetModelMetadata.GetModelMetadataRequest.Builder.getModelSpecBuilder()	Model Specification indicating which model we are querying for metadata.
Model.ModelSpec.Builder	GetModelMetadata.GetModelMetadataResponse.Builder.getModelSpecBuilder()	Model Specification indicating which model this metadata belongs to.
Model.ModelSpec.Builder	GetModelStatus.GetModelStatusRequest.Builder.getModelSpecBuilder()	Model Specification.
Model.ModelSpec.Builder	Inference.InferenceResult.Builder.getModelSpecBuilder()	.tensorflow.serving.ModelSpec model_spec = 1;
Model.ModelSpec.Builder	Inference.InferenceTask.Builder.getModelSpecBuilder()	Model Specification.
Model.ModelSpec.Builder	Logging.LogMetadata.Builder.getModelSpecBuilder()	.tensorflow.serving.ModelSpec model_spec = 1;
Model.ModelSpec.Builder	Predict.PredictRequest.Builder.getModelSpecBuilder()	Model Specification.
Model.ModelSpec.Builder	Predict.PredictResponse.Builder.getModelSpecBuilder()	Effective Model Specification used to process PredictRequest.
Model.ModelSpec.Builder	RegressionOuterClass.RegressionRequest.Builder.getModelSpecBuilder()	Model Specification.
Model.ModelSpec.Builder	RegressionOuterClass.RegressionResponse.Builder.getModelSpecBuilder()	Effective Model Specification used for regression.
Model.ModelSpec.Builder	SessionServiceOuterClass.SessionRunRequest.Builder.getModelSpecBuilder()	Model Specification.
Model.ModelSpec.Builder	SessionServiceOuterClass.SessionRunResponse.Builder.getModelSpecBuilder()	Effective Model Specification used for session run.
Model.ModelSpec.Builder	Model.ModelSpec.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Model.ModelSpec.Builder	Model.ModelSpec.Builder.mergeFrom(com.google.protobuf.Message other)
Model.ModelSpec.Builder	Model.ModelSpec.Builder.mergeFrom(Model.ModelSpec other)
final Model.ModelSpec.Builder	Model.ModelSpec.Builder.mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
Model.ModelSpec.Builder	Model.ModelSpec.Builder.mergeVersion(Int64Value value)	Use this specific version number.
static Model.ModelSpec.Builder	Model.ModelSpec.newBuilder()
static Model.ModelSpec.Builder	Model.ModelSpec.newBuilder(Model.ModelSpec prototype)
Model.ModelSpec.Builder	Model.ModelSpec.newBuilderForType()
protected Model.ModelSpec.Builder	Model.ModelSpec.newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
Model.ModelSpec.Builder	Model.ModelSpec.Builder.setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
Model.ModelSpec.Builder	Model.ModelSpec.Builder.setName(String value)	Required servable name.
Model.ModelSpec.Builder	Model.ModelSpec.Builder.setNameBytes(com.google.protobuf.ByteString value)	Required servable name.
Model.ModelSpec.Builder	Model.ModelSpec.Builder.setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
Model.ModelSpec.Builder	Model.ModelSpec.Builder.setSignatureName(String value)	A named signature to evaluate.
Model.ModelSpec.Builder	Model.ModelSpec.Builder.setSignatureNameBytes(com.google.protobuf.ByteString value)	A named signature to evaluate.
final Model.ModelSpec.Builder	Model.ModelSpec.Builder.setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
Model.ModelSpec.Builder	Model.ModelSpec.Builder.setVersion(Int64Value value)	Use this specific version number.
Model.ModelSpec.Builder	Model.ModelSpec.Builder.setVersion(Int64Value.Builder builderForValue)	Use this specific version number.
Model.ModelSpec.Builder	Model.ModelSpec.Builder.setVersionLabel(String value)	Use the version associated with the given label.
Model.ModelSpec.Builder	Model.ModelSpec.Builder.setVersionLabelBytes(com.google.protobuf.ByteString value)	Use the version associated with the given label.
Model.ModelSpec.Builder	Model.ModelSpec.toBuilder()

Methods in tensorflow.serving with parameters of type Model.ModelSpec.Builder

Modifier and Type	Method	Description
Classification.ClassificationRequest.Builder	Classification.ClassificationRequest.Builder.setModelSpec(Model.ModelSpec.Builder builderForValue)	Model Specification.
Classification.ClassificationResponse.Builder	Classification.ClassificationResponse.Builder.setModelSpec(Model.ModelSpec.Builder builderForValue)	Effective Model Specification used for classification.
GetModelMetadata.GetModelMetadataRequest.Builder	GetModelMetadata.GetModelMetadataRequest.Builder.setModelSpec(Model.ModelSpec.Builder builderForValue)	Model Specification indicating which model we are querying for metadata.
GetModelMetadata.GetModelMetadataResponse.Builder	GetModelMetadata.GetModelMetadataResponse.Builder.setModelSpec(Model.ModelSpec.Builder builderForValue)	Model Specification indicating which model this metadata belongs to.
GetModelStatus.GetModelStatusRequest.Builder	GetModelStatus.GetModelStatusRequest.Builder.setModelSpec(Model.ModelSpec.Builder builderForValue)	Model Specification.
Inference.InferenceResult.Builder	Inference.InferenceResult.Builder.setModelSpec(Model.ModelSpec.Builder builderForValue)	.tensorflow.serving.ModelSpec model_spec = 1;
Inference.InferenceTask.Builder	Inference.InferenceTask.Builder.setModelSpec(Model.ModelSpec.Builder builderForValue)	Model Specification.
Logging.LogMetadata.Builder	Logging.LogMetadata.Builder.setModelSpec(Model.ModelSpec.Builder builderForValue)	.tensorflow.serving.ModelSpec model_spec = 1;
Predict.PredictRequest.Builder	Predict.PredictRequest.Builder.setModelSpec(Model.ModelSpec.Builder builderForValue)	Model Specification.
Predict.PredictResponse.Builder	Predict.PredictResponse.Builder.setModelSpec(Model.ModelSpec.Builder builderForValue)	Effective Model Specification used to process PredictRequest.
RegressionOuterClass.RegressionRequest.Builder	RegressionOuterClass.RegressionRequest.Builder.setModelSpec(Model.ModelSpec.Builder builderForValue)	Model Specification.
RegressionOuterClass.RegressionResponse.Builder	RegressionOuterClass.RegressionResponse.Builder.setModelSpec(Model.ModelSpec.Builder builderForValue)	Effective Model Specification used for regression.
SessionServiceOuterClass.SessionRunRequest.Builder	SessionServiceOuterClass.SessionRunRequest.Builder.setModelSpec(Model.ModelSpec.Builder builderForValue)	Model Specification.
SessionServiceOuterClass.SessionRunResponse.Builder	SessionServiceOuterClass.SessionRunResponse.Builder.setModelSpec(Model.ModelSpec.Builder builderForValue)	Effective Model Specification used for session run.