Interface PredictResponseOrBuilder (2.16.0)

Version 2.16.0

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public interface PredictResponseOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

containsMetadata(String key)

public abstract 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

getMetadata()

public abstract Map<String,String> getMetadata()

Use #getMetadataMap() instead.

Returns
Type	Description
Map<String,String>

getMetadataCount()

public abstract 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 abstract 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 abstract 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 abstract 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

getPayload(int index)

public abstract 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

getPayloadCount()

public abstract 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 abstract 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 abstract 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 abstract 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 abstract 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.

getPreprocessedInputOrBuilder()

public abstract 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 abstract 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.