# AutoML Workflow Operators

AutoML adds workflow operators (base & solution packages). For general operator concepts, see Treasure Workflow Reference.

## Base Package Operators

* **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`).

## Custom Solution Package Operator

* **ipynb>**
General Python notebook task; executes solution‑specific logic defined by chosen package.