Test out a pretrained model (using image data) - upload first via uploadPretrainedModel.
If you want to deploy a pretrained model from the API, see startDeployPretrainedModelJob.
This will transform raw image data (e.g. RGB to grayscale, resize) before classifying.
To classify raw features, see testPretrainedModel.
Project ID
Impulse ID. If this is unset then the default impulse is used.
OK
Whether the operation succeeded
Optional error description (set if 'success' was false)
Classification value per label. For a neural network this will be the confidence, for anomalies the anomaly score.
Anomaly scores and computed metrics for visual anomaly detection, one item per window.