RegressionOuterClass.RegressionResponseOrBuilder (tensorflow-serving-client 2.1.0 API)

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

All Methods Instance Methods Abstract Methods
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 Detail
  - 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;