Class BatchPredictRequest (1.0.3)

Version 1.0.3

• 2.13.3 (latest)
• 2.13.2
• 2.12.0
• 2.11.4
• 2.10.1
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• 1.0.3
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• 0.4.0

Request message for PredictionService.BatchPredict.

Required. The input configuration for batch prediction.

Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long. - For Text Classification: score_threshold - (float) A value from 0.0 to 1.0. When the model makes predictions for a text snippet, it will only produce results that have at least this confidence score. The default is 0.5. - For Image Classification: score_threshold - (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5. - For Image Object Detection: score_threshold - (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5. max_bounding_box_count - (int64) No more than this number of bounding boxes will be produced per image. Default is 100, the requested value may be limited by server.

Classes

ParamsEntry

API documentation for automl_v1.types.BatchPredictRequest.ParamsEntry class.