Run predictions
Run predictions with a trained ML model.
Identify the model by ml_model_id, or by ml_model_name (the name of a non-archived model). Each row in data maps the model’s feature columns to values; list_ml_models shows the columns each model expects. Returns one prediction per input row, plus per-class probabilities for classifiers.
Requires an API key with the read scope.
Authentication
Bearer authentication of the form Bearer <token>, where token is your auth token.
Request
Segmentation models only. Drops predicted regions with fewer pixels than this. Pixels are counted on the hole-filled mask at the model’s inference resolution.
Segmentation models only. Fills enclosed holes of up to this many pixels in each predicted mask before it is split into regions. Null fills every hole. 0 keeps all holes, so ring-shaped predictions stay rings.