Additional domain-specific parameters, any string must be up
to 25000 characters long.
- 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 returned in the
response. Default is 100, the requested value may be
limited by server.
- For Tables: feature_importance - (boolean) Whether
feature importance should be populated in the returned
TablesAnnotation. The default is false.