Tuning

Examples on how to use hyperparameter tuning on SageMaker.

Apache MXNet

• Hyperparameter Tuning with Amazon SageMaker and MXNet
• Gluon CIFAR-10 Hyperparameter Tuning

PyTorch

• Hyperparameter Tuning using SageMaker PyTorch Container

R

• Hyperparameter Tuning with Your Own Container in Amazon SageMaker

TensorFlow

• Hyperparameter Tuning using SageMaker Tensorflow Container
• Hyperparameter Tuning using Your Own Keras/Tensorflow Container

XGBoost

• Direct Marketing with Amazon SageMaker XGBoost and Hyperparameter Tuning (SageMaker API)
• Direct Marketing with Amazon SageMaker XGBoost and Hyperparameter Tuning (SageMaker SDK)
• Random search and hyperparameter scaling with SageMaker XGBoost and Automatic Model Tuning

Use cases

Analyze results

• Analyze Results of a Hyperparameter Tuning job

Early stopping

• Automatic Model Tuning : Automatic training job early stopping

Warm start

• Automatic Model Tuning : Warm Starting Tuning Jobs