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public interface PredictResponseOrBuilder extends MessageOrBuilderImplements
MessageOrBuilderMethods
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;
| Name | Description |
key | String |
| Type | Description |
boolean |
getMetadata()
public abstract Map<String,String> getMetadata()Use #getMetadataMap() instead.
| 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;
| 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;
| 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;
| Name | Description |
key | String |
defaultValue | String |
| 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;
| Name | Description |
key | String |
| 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;
| Name | Description |
index | int |
| 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;
| 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;
| 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;
| Name | Description |
index | int |
| 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;
| 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;
| 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;
| 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;
| Type | Description |
boolean | Whether the preprocessedInput field is set. |