When a model training has completed, the model will show up alongside all the ready-made models in your project, and you can add it like any other model.
Custom models have a similar response signature to the ready-made classifiers.
Each model returns an object with the detected label and the respective scores. This object is added to the API response under the model’s key.
The most probable label. This will always be the label with the highest score. Returns null if the analyzer fails.
The score of the label. From 0-1 score with 1 meaning a high probability of being correct.
An object containing all the label scores.