The following use cases show you how to run AutoML (automatic machine learning) hyperparameter tuning experiments on different compute resources.
| Case | Description |
|---|---|
| MaxCompute k-means clustering best practice | Submit a hyperparameter tuning experiment on MaxCompute compute resources. The experiment runs the k-means clustering and model evaluation components to find an optimal combination of hyperparameters for the k-means clustering algorithm. |
| DLC MNIST training best practice | Submit an AutoML experiment on DLC compute resources for hyperparameter tuning. |