Package com.google.cloud.automl.v1

Interface PredictResponseOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
PredictResponse, PredictResponse.Builder
@Generated public interface PredictResponseOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Details

    • getPayloadList

      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;

    • getPayload

      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;

    • getPayloadCount

      int getPayloadCount()
       Prediction result.
 AutoML Translation and AutoML Natural Language Sentiment Analysis
 return precisely one payload.
      repeated .google.cloud.automl.v1.AnnotationPayload payload = 1;

    • getPayloadOrBuilderList

      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;

    • getPayloadOrBuilder

      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;

    • hasPreprocessedInput

      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][google.cloud.automl.v1.Document.document_text]
 property.
      .google.cloud.automl.v1.ExamplePayload preprocessed_input = 3;
      Returns:
      Whether the preprocessedInput field is set.

    • getPreprocessedInput

      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][google.cloud.automl.v1.Document.document_text]
 property.
      .google.cloud.automl.v1.ExamplePayload preprocessed_input = 3;
      Returns:
      The preprocessedInput.

    • getPreprocessedInputOrBuilder

      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][google.cloud.automl.v1.Document.document_text]
 property.
      .google.cloud.automl.v1.ExamplePayload preprocessed_input = 3;

    • getMetadataCount

      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;

    • containsMetadata

      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;

    • getMetadata

      @Deprecated Map<String,String> getMetadata()
      Deprecated.
      Use getMetadataMap() instead.

    • getMetadataMap

      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;

    • getMetadataOrDefault

      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;

    • getMetadataOrThrow

      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;