Cloud AutoML V1 Client - Class PredictResponse (1.5.4)

Version 1.5.4

• 2.0.3 (latest)
• 2.0.2
• 1.6.5
• 1.5.4
• 1.4.17

Reference documentation and code samples for the Cloud AutoML V1 Client class PredictResponse.

Response message for PredictionService.Predict.

Generated from protobuf message google.cloud.automl.v1.PredictResponse

Namespace

Google \ Cloud \ AutoMl \ V1

Methods

__construct

Constructor.

Parameters
Name	Description
data	array Optional. Data for populating the Message object.
↳ payload	array<Google\Cloud\AutoMl\V1\AnnotationPayload> Prediction result. AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.
↳ preprocessed_input	Google\Cloud\AutoMl\V1\ExamplePayload 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.
↳ metadata	array|Google\Protobuf\Internal\MapField 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.

getPayload

Prediction result.

AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.

Returns
Type	Description
Google\Protobuf\Internal\RepeatedField

setPayload

Prediction result.

AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.

Parameter
Name	Description
var	array<Google\Cloud\AutoMl\V1\AnnotationPayload>

Returns
Type	Description
$this

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.

Returns
Type	Description
Google\Cloud\AutoMl\V1\ExamplePayload|null

hasPreprocessedInput

clearPreprocessedInput

setPreprocessedInput

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.

Parameter
Name	Description
var	Google\Cloud\AutoMl\V1\ExamplePayload

Returns
Type	Description
$this

getMetadata

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.

Returns
Type	Description
Google\Protobuf\Internal\MapField

setMetadata

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.

Parameter
Name	Description
var	array|Google\Protobuf\Internal\MapField

Returns
Type	Description
$this