This topic provides links to AutoML use cases.
Case | Description |
This topic describes how to run the K-means Clustering and Clustering Model Evaluation components. The process involves submitting a hyperparameter tuning experiment by using MaxCompute resources to obtain an optimal hyperparameter combination for the K-means Clustering component algorithm. | |
This topic describes how to submit an AutoML experiment based on Deep Learning Containers (DLC) computing resources to perform hyperparameter fine-tuning. |