Package com.google.cloud.automl.v1
Interface PredictResponseOrBuilder
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- All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder
,com.google.protobuf.MessageOrBuilder
- All Known Implementing Classes:
PredictResponse
,PredictResponse.Builder
public interface PredictResponseOrBuilder extends com.google.protobuf.MessageOrBuilder
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Method Summary
All Methods Instance Methods Abstract Methods Deprecated Methods Modifier and Type Method Description boolean
containsMetadata(String key)
Additional domain-specific prediction response metadata.Map<String,String>
getMetadata()
Deprecated.int
getMetadataCount()
Additional domain-specific prediction response metadata.Map<String,String>
getMetadataMap()
Additional domain-specific prediction response metadata.String
getMetadataOrDefault(String key, String defaultValue)
Additional domain-specific prediction response metadata.String
getMetadataOrThrow(String key)
Additional domain-specific prediction response metadata.AnnotationPayload
getPayload(int index)
Prediction result.int
getPayloadCount()
Prediction result.List<AnnotationPayload>
getPayloadList()
Prediction result.AnnotationPayloadOrBuilder
getPayloadOrBuilder(int index)
Prediction result.List<? extends AnnotationPayloadOrBuilder>
getPayloadOrBuilderList()
Prediction result.ExamplePayload
getPreprocessedInput()
The preprocessed example that AutoML actually makes prediction on.ExamplePayloadOrBuilder
getPreprocessedInputOrBuilder()
The preprocessed example that AutoML actually makes prediction on.boolean
hasPreprocessedInput()
The preprocessed example that AutoML actually makes prediction on.-
Methods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
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Method Detail
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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;
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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;
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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;
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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;
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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;
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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.
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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.
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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;
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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;
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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;
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getMetadata
@Deprecated Map<String,String> getMetadata()
Deprecated.UsegetMetadataMap()
instead.
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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;
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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;
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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;
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