Package tensorflow.serving

Interface RegressionOuterClass.RegressionResponseOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

RegressionOuterClass.RegressionResponse, RegressionOuterClass.RegressionResponse.Builder

Enclosing class:

RegressionOuterClass

public static interface RegressionOuterClass.RegressionResponseOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method	Description
Model.ModelSpec	getModelSpec()	Effective Model Specification used for regression.
Model.ModelSpecOrBuilder	getModelSpecOrBuilder()	Effective Model Specification used for regression.
RegressionOuterClass.RegressionResult	getResult()	.tensorflow.serving.RegressionResult result = 1;
RegressionOuterClass.RegressionResultOrBuilder	getResultOrBuilder()	.tensorflow.serving.RegressionResult result = 1;
boolean	hasModelSpec()	Effective Model Specification used for regression.
boolean	hasResult()	.tensorflow.serving.RegressionResult result = 1;

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Method Details

hasModelSpec

boolean hasModelSpec()

 Effective Model Specification used for regression.
 

.tensorflow.serving.ModelSpec model_spec = 2;

Returns:

Whether the modelSpec field is set.

getModelSpec

Model.ModelSpec getModelSpec()

 Effective Model Specification used for regression.
 

.tensorflow.serving.ModelSpec model_spec = 2;

Returns:

The modelSpec.

getModelSpecOrBuilder

Model.ModelSpecOrBuilder getModelSpecOrBuilder()

 Effective Model Specification used for regression.
 

.tensorflow.serving.ModelSpec model_spec = 2;

hasResult

boolean hasResult()

.tensorflow.serving.RegressionResult result = 1;

Returns:

Whether the result field is set.

getResult

RegressionOuterClass.RegressionResult getResult()

.tensorflow.serving.RegressionResult result = 1;

Returns:

The result.

getResultOrBuilder

RegressionOuterClass.RegressionResultOrBuilder getResultOrBuilder()

.tensorflow.serving.RegressionResult result = 1;