|AutoML on ML Workbench is currently a beta feature.|
AutoML is a subset of machine learning with the goal of reducing the expertise needed to effectively run machine learning experiments. It assists the user in tuning the hyperparameters for model training.
ML Workbench uses the open-source Katib project through Kubeflow to simplify process of running machine learning experiments.
We have a sample Docker file and notebook for learning to use AutoML (Katib) here: Hyperparameter Tuning with Katib. The notebook is a self-contained tutorial package that guides you through learning to use the functionality.