Amazon SageMaker Automatic Model Tuning (AMT) is a tool that helps with machine learning. It makes the process of adjusting hyperparameters easier. Hyperparameters are the choices that determine how a machine-learning model works. Choosing the correct hyperparameters can greatly impact how well a model performs.
AMT operates by running several training tasks using various hyperparameter settings. It chooses the hyperparameter setup that produces the best model performance. AMT can work with different machine learning methods like XGBoost, Linear Learner, and Neural Networks.
Here are some of the benefits of using Amazon SageMaker Automatic Model Tuning:
To use Amazon SageMaker Automatic Model Tuning, you first need to specify the following:
AMT will perform several training jobs and choose the hyperparameter configuration that produces the best model.