Class PredictResponse.Builder

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

Response message for PredictionService.Predict.

Protobuf type google.cloud.automl.v1beta1.PredictResponse

Methods

addAllPayload(Iterable<? extends AnnotationPayload> values)

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

Prediction result. Translation and Text Sentiment will return precisely one payload.

repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1;

Parameter
NameDescription
valuesIterable<? extends com.google.cloud.automl.v1beta1.AnnotationPayload>
Returns
TypeDescription
PredictResponse.Builder

addPayload(AnnotationPayload value)

public PredictResponse.Builder addPayload(AnnotationPayload value)

Prediction result. Translation and Text Sentiment will return precisely one payload.

repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1;

Parameter
NameDescription
valueAnnotationPayload
Returns
TypeDescription
PredictResponse.Builder

addPayload(AnnotationPayload.Builder builderForValue)

public PredictResponse.Builder addPayload(AnnotationPayload.Builder builderForValue)

Prediction result. Translation and Text Sentiment will return precisely one payload.

repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1;

Parameter
NameDescription
builderForValueAnnotationPayload.Builder
Returns
TypeDescription
PredictResponse.Builder

addPayload(int index, AnnotationPayload value)

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

Prediction result. Translation and Text Sentiment will return precisely one payload.

repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1;

Parameters
NameDescription
indexint
valueAnnotationPayload
Returns
TypeDescription
PredictResponse.Builder

addPayload(int index, AnnotationPayload.Builder builderForValue)

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

Prediction result. Translation and Text Sentiment will return precisely one payload.

repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1;

Parameters
NameDescription
indexint
builderForValueAnnotationPayload.Builder
Returns
TypeDescription
PredictResponse.Builder

addPayloadBuilder()

public AnnotationPayload.Builder addPayloadBuilder()

Prediction result. Translation and Text Sentiment will return precisely one payload.

repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1;

Returns
TypeDescription
AnnotationPayload.Builder

addPayloadBuilder(int index)

public AnnotationPayload.Builder addPayloadBuilder(int index)

Prediction result. Translation and Text Sentiment will return precisely one payload.

repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1;

Parameter
NameDescription
indexint
Returns
TypeDescription
AnnotationPayload.Builder

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public PredictResponse.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
PredictResponse.Builder
Overrides

build()

public PredictResponse build()
Returns
TypeDescription
PredictResponse

buildPartial()

public PredictResponse buildPartial()
Returns
TypeDescription
PredictResponse

clear()

public PredictResponse.Builder clear()
Returns
TypeDescription
PredictResponse.Builder
Overrides

clearField(Descriptors.FieldDescriptor field)

public PredictResponse.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
NameDescription
fieldFieldDescriptor
Returns
TypeDescription
PredictResponse.Builder
Overrides

clearMetadata()

public PredictResponse.Builder clearMetadata()
Returns
TypeDescription
PredictResponse.Builder

clearOneof(Descriptors.OneofDescriptor oneof)

public PredictResponse.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
NameDescription
oneofOneofDescriptor
Returns
TypeDescription
PredictResponse.Builder
Overrides

clearPayload()

public PredictResponse.Builder clearPayload()

Prediction result. Translation and Text Sentiment will return precisely one payload.

repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1;

Returns
TypeDescription
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 Text Extraction: If the input is a .pdf file, the OCR'ed text will be provided in document_text.

.google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3;

Returns
TypeDescription
PredictResponse.Builder

clone()

public PredictResponse.Builder clone()
Returns
TypeDescription
PredictResponse.Builder
Overrides

containsMetadata(String key)

public boolean containsMetadata(String key)

Additional domain-specific prediction response metadata.

  • For Image Object Detection: max_bounding_box_count - (int64) At most that many bounding boxes per image could have been returned.
  • For Text Sentiment: 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 will be also positive (though the least). The sentiment_score shouldn't be confused with "score" or "magnitude" from the previous Natural Language Sentiment Analysis API.

map<string, string> metadata = 2;

Parameter
NameDescription
keyString
Returns
TypeDescription
boolean

getDefaultInstanceForType()

public PredictResponse getDefaultInstanceForType()
Returns
TypeDescription
PredictResponse

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
TypeDescription
Descriptor
Overrides

getMetadata()

public Map<String,String> getMetadata()

Use #getMetadataMap() instead.

Returns
TypeDescription
Map<String,String>

getMetadataCount()

public int getMetadataCount()

Additional domain-specific prediction response metadata.

  • For Image Object Detection: max_bounding_box_count - (int64) At most that many bounding boxes per image could have been returned.
  • For Text Sentiment: 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 will be also positive (though the least). The sentiment_score shouldn't be confused with "score" or "magnitude" from the previous Natural Language Sentiment Analysis API.

map<string, string> metadata = 2;

Returns
TypeDescription
int

getMetadataMap()

public Map<String,String> getMetadataMap()

Additional domain-specific prediction response metadata.

  • For Image Object Detection: max_bounding_box_count - (int64) At most that many bounding boxes per image could have been returned.
  • For Text Sentiment: 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 will be also positive (though the least). The sentiment_score shouldn't be confused with "score" or "magnitude" from the previous Natural Language Sentiment Analysis API.

map<string, string> metadata = 2;

Returns
TypeDescription
Map<String,String>

getMetadataOrDefault(String key, String defaultValue)

public String getMetadataOrDefault(String key, String defaultValue)

Additional domain-specific prediction response metadata.

  • For Image Object Detection: max_bounding_box_count - (int64) At most that many bounding boxes per image could have been returned.
  • For Text Sentiment: 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 will be also positive (though the least). The sentiment_score shouldn't be confused with "score" or "magnitude" from the previous Natural Language Sentiment Analysis API.

map<string, string> metadata = 2;

Parameters
NameDescription
keyString
defaultValueString
Returns
TypeDescription
String

getMetadataOrThrow(String key)

public String getMetadataOrThrow(String key)

Additional domain-specific prediction response metadata.

  • For Image Object Detection: max_bounding_box_count - (int64) At most that many bounding boxes per image could have been returned.
  • For Text Sentiment: 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 will be also positive (though the least). The sentiment_score shouldn't be confused with "score" or "magnitude" from the previous Natural Language Sentiment Analysis API.

map<string, string> metadata = 2;

Parameter
NameDescription
keyString
Returns
TypeDescription
String

getMutableMetadata()

public Map<String,String> getMutableMetadata()

Use alternate mutation accessors instead.

Returns
TypeDescription
Map<String,String>

getPayload(int index)

public AnnotationPayload getPayload(int index)

Prediction result. Translation and Text Sentiment will return precisely one payload.

repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1;

Parameter
NameDescription
indexint
Returns
TypeDescription
AnnotationPayload

getPayloadBuilder(int index)

public AnnotationPayload.Builder getPayloadBuilder(int index)

Prediction result. Translation and Text Sentiment will return precisely one payload.

repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1;

Parameter
NameDescription
indexint
Returns
TypeDescription
AnnotationPayload.Builder

getPayloadBuilderList()

public List<AnnotationPayload.Builder> getPayloadBuilderList()

Prediction result. Translation and Text Sentiment will return precisely one payload.

repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1;

Returns
TypeDescription
List<Builder>

getPayloadCount()

public int getPayloadCount()

Prediction result. Translation and Text Sentiment will return precisely one payload.

repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1;

Returns
TypeDescription
int

getPayloadList()

public List<AnnotationPayload> getPayloadList()

Prediction result. Translation and Text Sentiment will return precisely one payload.

repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1;

Returns
TypeDescription
List<AnnotationPayload>

getPayloadOrBuilder(int index)

public AnnotationPayloadOrBuilder getPayloadOrBuilder(int index)

Prediction result. Translation and Text Sentiment will return precisely one payload.

repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1;

Parameter
NameDescription
indexint
Returns
TypeDescription
AnnotationPayloadOrBuilder

getPayloadOrBuilderList()

public List<? extends AnnotationPayloadOrBuilder> getPayloadOrBuilderList()

Prediction result. Translation and Text Sentiment will return precisely one payload.

repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1;

Returns
TypeDescription
List<? extends com.google.cloud.automl.v1beta1.AnnotationPayloadOrBuilder>

getPreprocessedInput()

public ExamplePayload getPreprocessedInput()

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

  • For Text Extraction: If the input is a .pdf file, the OCR'ed text will be provided in document_text.

.google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3;

Returns
TypeDescription
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 Text Extraction: If the input is a .pdf file, the OCR'ed text will be provided in document_text.

.google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3;

Returns
TypeDescription
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 Text Extraction: If the input is a .pdf file, the OCR'ed text will be provided in document_text.

.google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3;

Returns
TypeDescription
ExamplePayloadOrBuilder

hasPreprocessedInput()

public boolean hasPreprocessedInput()

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

  • For Text Extraction: If the input is a .pdf file, the OCR'ed text will be provided in document_text.

.google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3;

Returns
TypeDescription
boolean

Whether the preprocessedInput field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

internalGetMapField(int number)

protected MapField internalGetMapField(int number)
Parameter
NameDescription
numberint
Returns
TypeDescription
MapField
Overrides

internalGetMutableMapField(int number)

protected MapField internalGetMutableMapField(int number)
Parameter
NameDescription
numberint
Returns
TypeDescription
MapField
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

mergeFrom(PredictResponse other)

public PredictResponse.Builder mergeFrom(PredictResponse other)
Parameter
NameDescription
otherPredictResponse
Returns
TypeDescription
PredictResponse.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public PredictResponse.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
PredictResponse.Builder
Overrides Exceptions
TypeDescription
IOException

mergeFrom(Message other)

public PredictResponse.Builder mergeFrom(Message other)
Parameter
NameDescription
otherMessage
Returns
TypeDescription
PredictResponse.Builder
Overrides

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 Text Extraction: If the input is a .pdf file, the OCR'ed text will be provided in document_text.

.google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3;

Parameter
NameDescription
valueExamplePayload
Returns
TypeDescription
PredictResponse.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final PredictResponse.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
PredictResponse.Builder
Overrides

putAllMetadata(Map<String,String> values)

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

Additional domain-specific prediction response metadata.

  • For Image Object Detection: max_bounding_box_count - (int64) At most that many bounding boxes per image could have been returned.
  • For Text Sentiment: 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 will be also positive (though the least). The sentiment_score shouldn't be confused with "score" or "magnitude" from the previous Natural Language Sentiment Analysis API.

map<string, string> metadata = 2;

Parameter
NameDescription
valuesMap<String,String>
Returns
TypeDescription
PredictResponse.Builder

putMetadata(String key, String value)

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

Additional domain-specific prediction response metadata.

  • For Image Object Detection: max_bounding_box_count - (int64) At most that many bounding boxes per image could have been returned.
  • For Text Sentiment: 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 will be also positive (though the least). The sentiment_score shouldn't be confused with "score" or "magnitude" from the previous Natural Language Sentiment Analysis API.

map<string, string> metadata = 2;

Parameters
NameDescription
keyString
valueString
Returns
TypeDescription
PredictResponse.Builder

removeMetadata(String key)

public PredictResponse.Builder removeMetadata(String key)

Additional domain-specific prediction response metadata.

  • For Image Object Detection: max_bounding_box_count - (int64) At most that many bounding boxes per image could have been returned.
  • For Text Sentiment: 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 will be also positive (though the least). The sentiment_score shouldn't be confused with "score" or "magnitude" from the previous Natural Language Sentiment Analysis API.

map<string, string> metadata = 2;

Parameter
NameDescription
keyString
Returns
TypeDescription
PredictResponse.Builder

removePayload(int index)

public PredictResponse.Builder removePayload(int index)

Prediction result. Translation and Text Sentiment will return precisely one payload.

repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1;

Parameter
NameDescription
indexint
Returns
TypeDescription
PredictResponse.Builder

setField(Descriptors.FieldDescriptor field, Object value)

public PredictResponse.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
PredictResponse.Builder
Overrides

setPayload(int index, AnnotationPayload value)

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

Prediction result. Translation and Text Sentiment will return precisely one payload.

repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1;

Parameters
NameDescription
indexint
valueAnnotationPayload
Returns
TypeDescription
PredictResponse.Builder

setPayload(int index, AnnotationPayload.Builder builderForValue)

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

Prediction result. Translation and Text Sentiment will return precisely one payload.

repeated .google.cloud.automl.v1beta1.AnnotationPayload payload = 1;

Parameters
NameDescription
indexint
builderForValueAnnotationPayload.Builder
Returns
TypeDescription
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 Text Extraction: If the input is a .pdf file, the OCR'ed text will be provided in document_text.

.google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3;

Parameter
NameDescription
valueExamplePayload
Returns
TypeDescription
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 Text Extraction: If the input is a .pdf file, the OCR'ed text will be provided in document_text.

.google.cloud.automl.v1beta1.ExamplePayload preprocessed_input = 3;

Parameter
NameDescription
builderForValueExamplePayload.Builder
Returns
TypeDescription
PredictResponse.Builder

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

public PredictResponse.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
NameDescription
fieldFieldDescriptor
indexint
valueObject
Returns
TypeDescription
PredictResponse.Builder
Overrides

setUnknownFields(UnknownFieldSet unknownFields)

public final PredictResponse.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
PredictResponse.Builder
Overrides