Interface PredictResponseOrBuilder (2.3.10)

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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.

  • 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

getMetadata()

public abstract Map<String,String> getMetadata()

Use #getMetadataMap() instead.

Returns
TypeDescription
Map<String,String>

getMetadataCount()

public abstract 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 abstract 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 abstract 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 abstract 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

getPayload(int index)

public abstract 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

getPayloadCount()

public abstract 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 abstract 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 abstract 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 abstract 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 abstract 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.

getPreprocessedInputOrBuilder()

public abstract 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 abstract 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.