how to use AutoML - Platform For AI - Alibaba Cloud Documentation Center

Platform for AI (PAI) provides AutoML to help you search for optimal hyperparameter combinations based on specific policies. You can use AutoML to improve the efficiency of model tuning. This topic provides an overview of AutoML and links to related topics.

What is AutoML?

AutoML is an enhanced machine learning service provided by PAI to help you find optimal hyperparameter combinations. In model training scenarios in which the hyperparameter combination is complex and requires a large amount of training resources and fine-tuning workload, you can use AutoML to fine-tune the hyperparameters in an efficient manner and improve model quality.

How AutoML works

AutoML automates hyperparameter fine-tuning by iterating experiments, trials, and training tasks to find the optimal hyperparameter combination.

Limits and usage notes of AutoML

This topic describes the limits and usage notes of AutoML, including the supported regions, search algorithms, and suitable scenarios. The supported search algorithms include Tree-structured Parzen Estimator (TPE), grid search, random search, evolutionary algorithm, Gaussian Processes (GP), and population based training (PBT).

Grant the permissions that are required to use AutoML

Before you use AutoML, you need to activate the Alibaba Cloud services on which AutoML depends, such as Deep Learning Containers (DLC) of PAI, MaxCompute, and Object Storage Service (OSS).

Console operations

AutoML use cases

This topic provides links to AutoML use cases.