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Platform For AI:AutoML use cases

Last Updated:Apr 08, 2024

This topic provides links to AutoML use cases.

Case

Description

Best practice for running the K-means Clustering component

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.

Best practice for performing DLC MNIST training

This topic describes how to submit an AutoML experiment based on Deep Learning Containers (DLC) computing resources to perform hyperparameter fine-tuning.