AutoML adds workflow operators (base & solution packages). For general operator concepts, see Treasure Workflow Reference.
- ml_train>
Train: takes a TD table as input, builds multiple models, ensembles them, stores model artifacts internally (S3) for inference. - ml_predict>
Predict: takes test data + model to produce predictions, leaderboards, and statistics as a TD table.
Currently these apply to AutoGluon notebooks (gluon_train, gluon_predict).
- ipynb>
General Python notebook task; executes solution‑specific logic defined by chosen package.