Class PredictResponse.Builder (2.19.0)

Version 2.19.0

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public static final class PredictResponse.Builder extends GeneratedMessageV3.Builder<PredictResponse.Builder> implements PredictResponseOrBuilder

Response message for PredictionService.Predict.

Protobuf type google.cloud.automl.v1.PredictResponse

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > PredictResponse.Builder

Implements

PredictResponseOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
Descriptor

Methods

addAllPayload(Iterable<? extends AnnotationPayload> values)

public PredictResponse.Builder addAllPayload(Iterable<? extends AnnotationPayload> values)

Prediction result. AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.

repeated .google.cloud.automl.v1.AnnotationPayload payload = 1;

Parameter
Name	Description
values	Iterable<? extends com.google.cloud.automl.v1.AnnotationPayload>

Returns
Type	Description
PredictResponse.Builder

addPayload(AnnotationPayload value)

public PredictResponse.Builder addPayload(AnnotationPayload value)

Prediction result. AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.

repeated .google.cloud.automl.v1.AnnotationPayload payload = 1;

Parameter
Name	Description
value	AnnotationPayload

Returns
Type	Description
PredictResponse.Builder

addPayload(AnnotationPayload.Builder builderForValue)

public PredictResponse.Builder addPayload(AnnotationPayload.Builder builderForValue)

Prediction result. AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.

repeated .google.cloud.automl.v1.AnnotationPayload payload = 1;

Parameter
Name	Description
builderForValue	AnnotationPayload.Builder

Returns
Type	Description
PredictResponse.Builder

addPayload(int index, AnnotationPayload value)

public PredictResponse.Builder addPayload(int index, AnnotationPayload value)

Prediction result. AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.

repeated .google.cloud.automl.v1.AnnotationPayload payload = 1;

Parameters
Name	Description
index	int
value	AnnotationPayload

Returns
Type	Description
PredictResponse.Builder

addPayload(int index, AnnotationPayload.Builder builderForValue)

public PredictResponse.Builder addPayload(int index, AnnotationPayload.Builder builderForValue)

Prediction result. AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.

repeated .google.cloud.automl.v1.AnnotationPayload payload = 1;

Parameters
Name	Description
index	int
builderForValue	AnnotationPayload.Builder

Returns
Type	Description
PredictResponse.Builder

addPayloadBuilder()

public AnnotationPayload.Builder addPayloadBuilder()

Prediction result. AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.

repeated .google.cloud.automl.v1.AnnotationPayload payload = 1;

Returns
Type	Description
AnnotationPayload.Builder

addPayloadBuilder(int index)

public AnnotationPayload.Builder addPayloadBuilder(int index)

Prediction result. AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.

repeated .google.cloud.automl.v1.AnnotationPayload payload = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
AnnotationPayload.Builder

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public PredictResponse.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
PredictResponse.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

build()

public PredictResponse build()

Returns
Type	Description
PredictResponse

buildPartial()

public PredictResponse buildPartial()

Returns
Type	Description
PredictResponse

clear()

public PredictResponse.Builder clear()

Returns
Type	Description
PredictResponse.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearField(Descriptors.FieldDescriptor field)

public PredictResponse.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
PredictResponse.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

clearMetadata()

public PredictResponse.Builder clearMetadata()

Returns
Type	Description
PredictResponse.Builder

clearOneof(Descriptors.OneofDescriptor oneof)

public PredictResponse.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
PredictResponse.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

clearPayload()

public PredictResponse.Builder clearPayload()

Prediction result. AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.

repeated .google.cloud.automl.v1.AnnotationPayload payload = 1;

Returns
Type	Description
PredictResponse.Builder

clearPreprocessedInput()

public PredictResponse.Builder clearPreprocessedInput()

The preprocessed example that AutoML actually makes prediction on. Empty if AutoML does not preprocess the input example.

For AutoML Natural Language (Classification, Entity Extraction, and Sentiment Analysis), if the input is a document, the recognized text is returned in the document_text property.

.google.cloud.automl.v1.ExamplePayload preprocessed_input = 3;

Returns
Type	Description
PredictResponse.Builder

clone()

public PredictResponse.Builder clone()

Returns
Type	Description
PredictResponse.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

containsMetadata(String key)

public boolean containsMetadata(String key)

Additional domain-specific prediction response metadata.

AutoML Vision Object Detection

max_bounding_box_count : (int64) The maximum number of bounding boxes to return per image.

AutoML Natural Language Sentiment Analysis

sentiment_score : (float, deprecated) A value between -1 and 1, -1 maps to least positive sentiment, while 1 maps to the most positive one and the higher the score, the more positive the sentiment in the document is. Yet these values are relative to the training data, so e.g. if all data was positive then -1 is also positive (though the least). sentiment_score is not the same as "score" and "magnitude" from Sentiment Analysis in the Natural Language API.

map<string, string> metadata = 2;

Parameter
Name	Description
key	String

Returns
Type	Description
boolean

getDefaultInstanceForType()

public PredictResponse getDefaultInstanceForType()

Returns
Type	Description
PredictResponse

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getMetadata()

public Map<String,String> getMetadata()

Use #getMetadataMap() instead.

Returns
Type	Description
Map<String,String>

getMetadataCount()

public int getMetadataCount()

Additional domain-specific prediction response metadata.

AutoML Vision Object Detection

max_bounding_box_count : (int64) The maximum number of bounding boxes to return per image.

AutoML Natural Language Sentiment Analysis

sentiment_score : (float, deprecated) A value between -1 and 1, -1 maps to least positive sentiment, while 1 maps to the most positive one and the higher the score, the more positive the sentiment in the document is. Yet these values are relative to the training data, so e.g. if all data was positive then -1 is also positive (though the least). sentiment_score is not the same as "score" and "magnitude" from Sentiment Analysis in the Natural Language API.

map<string, string> metadata = 2;

Returns
Type	Description
int

getMetadataMap()

public Map<String,String> getMetadataMap()

Additional domain-specific prediction response metadata.

AutoML Vision Object Detection

max_bounding_box_count : (int64) The maximum number of bounding boxes to return per image.

AutoML Natural Language Sentiment Analysis

sentiment_score : (float, deprecated) A value between -1 and 1, -1 maps to least positive sentiment, while 1 maps to the most positive one and the higher the score, the more positive the sentiment in the document is. Yet these values are relative to the training data, so e.g. if all data was positive then -1 is also positive (though the least). sentiment_score is not the same as "score" and "magnitude" from Sentiment Analysis in the Natural Language API.

map<string, string> metadata = 2;

Returns
Type	Description
Map<String,String>

getMetadataOrDefault(String key, String defaultValue)

public String getMetadataOrDefault(String key, String defaultValue)

Additional domain-specific prediction response metadata.

AutoML Vision Object Detection

max_bounding_box_count : (int64) The maximum number of bounding boxes to return per image.

AutoML Natural Language Sentiment Analysis

sentiment_score : (float, deprecated) A value between -1 and 1, -1 maps to least positive sentiment, while 1 maps to the most positive one and the higher the score, the more positive the sentiment in the document is. Yet these values are relative to the training data, so e.g. if all data was positive then -1 is also positive (though the least). sentiment_score is not the same as "score" and "magnitude" from Sentiment Analysis in the Natural Language API.

map<string, string> metadata = 2;

Parameters
Name	Description
key	String
defaultValue	String

Returns
Type	Description
String

getMetadataOrThrow(String key)

public String getMetadataOrThrow(String key)

Additional domain-specific prediction response metadata.

AutoML Vision Object Detection

max_bounding_box_count : (int64) The maximum number of bounding boxes to return per image.

AutoML Natural Language Sentiment Analysis

sentiment_score : (float, deprecated) A value between -1 and 1, -1 maps to least positive sentiment, while 1 maps to the most positive one and the higher the score, the more positive the sentiment in the document is. Yet these values are relative to the training data, so e.g. if all data was positive then -1 is also positive (though the least). sentiment_score is not the same as "score" and "magnitude" from Sentiment Analysis in the Natural Language API.

map<string, string> metadata = 2;

Parameter
Name	Description
key	String

Returns
Type	Description
String

getMutableMetadata()

public Map<String,String> getMutableMetadata()

Use alternate mutation accessors instead.

Returns
Type	Description
Map<String,String>

getPayload(int index)

public AnnotationPayload getPayload(int index)

Prediction result. AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.

repeated .google.cloud.automl.v1.AnnotationPayload payload = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
AnnotationPayload

getPayloadBuilder(int index)

public AnnotationPayload.Builder getPayloadBuilder(int index)

Prediction result. AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.

repeated .google.cloud.automl.v1.AnnotationPayload payload = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
AnnotationPayload.Builder

getPayloadBuilderList()

public List<AnnotationPayload.Builder> getPayloadBuilderList()

Prediction result. AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.

repeated .google.cloud.automl.v1.AnnotationPayload payload = 1;

Returns
Type	Description
List<Builder>

getPayloadCount()

public int getPayloadCount()

Prediction result. AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.

repeated .google.cloud.automl.v1.AnnotationPayload payload = 1;

Returns
Type	Description
int

getPayloadList()

public List<AnnotationPayload> getPayloadList()

Prediction result. AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.

repeated .google.cloud.automl.v1.AnnotationPayload payload = 1;

Returns
Type	Description
List<AnnotationPayload>

getPayloadOrBuilder(int index)

public AnnotationPayloadOrBuilder getPayloadOrBuilder(int index)

Prediction result. AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.

repeated .google.cloud.automl.v1.AnnotationPayload payload = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
AnnotationPayloadOrBuilder

getPayloadOrBuilderList()

public List<? extends AnnotationPayloadOrBuilder> getPayloadOrBuilderList()

Prediction result. AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.

repeated .google.cloud.automl.v1.AnnotationPayload payload = 1;

Returns
Type	Description
List<? extends com.google.cloud.automl.v1.AnnotationPayloadOrBuilder>

getPreprocessedInput()

public ExamplePayload getPreprocessedInput()

The preprocessed example that AutoML actually makes prediction on. Empty if AutoML does not preprocess the input example.

For AutoML Natural Language (Classification, Entity Extraction, and Sentiment Analysis), if the input is a document, the recognized text is returned in the document_text property.

.google.cloud.automl.v1.ExamplePayload preprocessed_input = 3;

Returns
Type	Description
ExamplePayload	The preprocessedInput.

getPreprocessedInputBuilder()

public ExamplePayload.Builder getPreprocessedInputBuilder()

The preprocessed example that AutoML actually makes prediction on. Empty if AutoML does not preprocess the input example.

For AutoML Natural Language (Classification, Entity Extraction, and Sentiment Analysis), if the input is a document, the recognized text is returned in the document_text property.

.google.cloud.automl.v1.ExamplePayload preprocessed_input = 3;

Returns
Type	Description
ExamplePayload.Builder

getPreprocessedInputOrBuilder()

public ExamplePayloadOrBuilder getPreprocessedInputOrBuilder()

The preprocessed example that AutoML actually makes prediction on. Empty if AutoML does not preprocess the input example.

For AutoML Natural Language (Classification, Entity Extraction, and Sentiment Analysis), if the input is a document, the recognized text is returned in the document_text property.

.google.cloud.automl.v1.ExamplePayload preprocessed_input = 3;

Returns
Type	Description
ExamplePayloadOrBuilder

hasPreprocessedInput()

public boolean hasPreprocessedInput()

The preprocessed example that AutoML actually makes prediction on. Empty if AutoML does not preprocess the input example.

For AutoML Natural Language (Classification, Entity Extraction, and Sentiment Analysis), if the input is a document, the recognized text is returned in the document_text property.

.google.cloud.automl.v1.ExamplePayload preprocessed_input = 3;

Returns
Type	Description
boolean	Whether the preprocessedInput field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

internalGetMapField(int number)

protected MapField internalGetMapField(int number)

Parameter
Name	Description
number	int

Returns
Type	Description
MapField

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetMapField(int fieldNumber)

internalGetMutableMapField(int number)

protected MapField internalGetMutableMapField(int number)

Parameter
Name	Description
number	int

Returns
Type	Description
MapField

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetMutableMapField(int fieldNumber)

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeFrom(PredictResponse other)

public PredictResponse.Builder mergeFrom(PredictResponse other)

Parameter
Name	Description
other	PredictResponse

Returns
Type	Description
PredictResponse.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public PredictResponse.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
PredictResponse.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public PredictResponse.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
PredictResponse.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

mergePreprocessedInput(ExamplePayload value)

public PredictResponse.Builder mergePreprocessedInput(ExamplePayload value)

The preprocessed example that AutoML actually makes prediction on. Empty if AutoML does not preprocess the input example.

For AutoML Natural Language (Classification, Entity Extraction, and Sentiment Analysis), if the input is a document, the recognized text is returned in the document_text property.

.google.cloud.automl.v1.ExamplePayload preprocessed_input = 3;

Parameter
Name	Description
value	ExamplePayload

Returns
Type	Description
PredictResponse.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final PredictResponse.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
PredictResponse.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

putAllMetadata(Map<String,String> values)

public PredictResponse.Builder putAllMetadata(Map<String,String> values)

Additional domain-specific prediction response metadata.

AutoML Vision Object Detection

max_bounding_box_count : (int64) The maximum number of bounding boxes to return per image.

AutoML Natural Language Sentiment Analysis

sentiment_score : (float, deprecated) A value between -1 and 1, -1 maps to least positive sentiment, while 1 maps to the most positive one and the higher the score, the more positive the sentiment in the document is. Yet these values are relative to the training data, so e.g. if all data was positive then -1 is also positive (though the least). sentiment_score is not the same as "score" and "magnitude" from Sentiment Analysis in the Natural Language API.

map<string, string> metadata = 2;

Parameter
Name	Description
values	Map<String,String>

Returns
Type	Description
PredictResponse.Builder

putMetadata(String key, String value)

public PredictResponse.Builder putMetadata(String key, String value)

Additional domain-specific prediction response metadata.

AutoML Vision Object Detection

max_bounding_box_count : (int64) The maximum number of bounding boxes to return per image.

AutoML Natural Language Sentiment Analysis

sentiment_score : (float, deprecated) A value between -1 and 1, -1 maps to least positive sentiment, while 1 maps to the most positive one and the higher the score, the more positive the sentiment in the document is. Yet these values are relative to the training data, so e.g. if all data was positive then -1 is also positive (though the least). sentiment_score is not the same as "score" and "magnitude" from Sentiment Analysis in the Natural Language API.

map<string, string> metadata = 2;

Parameters
Name	Description
key	String
value	String

Returns
Type	Description
PredictResponse.Builder

removeMetadata(String key)

public PredictResponse.Builder removeMetadata(String key)

Additional domain-specific prediction response metadata.

AutoML Vision Object Detection

max_bounding_box_count : (int64) The maximum number of bounding boxes to return per image.

AutoML Natural Language Sentiment Analysis

sentiment_score : (float, deprecated) A value between -1 and 1, -1 maps to least positive sentiment, while 1 maps to the most positive one and the higher the score, the more positive the sentiment in the document is. Yet these values are relative to the training data, so e.g. if all data was positive then -1 is also positive (though the least). sentiment_score is not the same as "score" and "magnitude" from Sentiment Analysis in the Natural Language API.

map<string, string> metadata = 2;

Parameter
Name	Description
key	String

Returns
Type	Description
PredictResponse.Builder

removePayload(int index)

public PredictResponse.Builder removePayload(int index)

Prediction result. AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.

repeated .google.cloud.automl.v1.AnnotationPayload payload = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
PredictResponse.Builder

setField(Descriptors.FieldDescriptor field, Object value)

public PredictResponse.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
PredictResponse.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

setPayload(int index, AnnotationPayload value)

public PredictResponse.Builder setPayload(int index, AnnotationPayload value)

Prediction result. AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.

repeated .google.cloud.automl.v1.AnnotationPayload payload = 1;

Parameters
Name	Description
index	int
value	AnnotationPayload

Returns
Type	Description
PredictResponse.Builder

setPayload(int index, AnnotationPayload.Builder builderForValue)

public PredictResponse.Builder setPayload(int index, AnnotationPayload.Builder builderForValue)

Prediction result. AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.

repeated .google.cloud.automl.v1.AnnotationPayload payload = 1;

Parameters
Name	Description
index	int
builderForValue	AnnotationPayload.Builder

Returns
Type	Description
PredictResponse.Builder

setPreprocessedInput(ExamplePayload value)

public PredictResponse.Builder setPreprocessedInput(ExamplePayload value)

The preprocessed example that AutoML actually makes prediction on. Empty if AutoML does not preprocess the input example.

For AutoML Natural Language (Classification, Entity Extraction, and Sentiment Analysis), if the input is a document, the recognized text is returned in the document_text property.

.google.cloud.automl.v1.ExamplePayload preprocessed_input = 3;

Parameter
Name	Description
value	ExamplePayload

Returns
Type	Description
PredictResponse.Builder

setPreprocessedInput(ExamplePayload.Builder builderForValue)

public PredictResponse.Builder setPreprocessedInput(ExamplePayload.Builder builderForValue)

The preprocessed example that AutoML actually makes prediction on. Empty if AutoML does not preprocess the input example.

For AutoML Natural Language (Classification, Entity Extraction, and Sentiment Analysis), if the input is a document, the recognized text is returned in the document_text property.

.google.cloud.automl.v1.ExamplePayload preprocessed_input = 3;

Parameter
Name	Description
builderForValue	ExamplePayload.Builder

Returns
Type	Description
PredictResponse.Builder

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public PredictResponse.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
PredictResponse.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setUnknownFields(UnknownFieldSet unknownFields)

public final PredictResponse.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
PredictResponse.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)