######################### Tuning ######################### Examples on how to use hyperparameter tuning on SageMaker. Apache MXNet =============== .. toctree:: :maxdepth: 1 ../hyperparameter_tuning/mxnet_mnist/hpo_mxnet_mnist ../hyperparameter_tuning/mxnet_gluon_cifar10_random_search/hyperparameter_tuning_mxnet_gluon_cifar10_random_search PyTorch ============ .. toctree:: :maxdepth: 1 ../hyperparameter_tuning/pytorch_mnist/hpo_pytorch_mnist ../hyperparameter_tuning/huggingface_multiclass_text_classification_20_newsgroups/hpo_huggingface_text_classification_20_newsgroups R === .. toctree:: :maxdepth: 1 ../hyperparameter_tuning/r_bring_your_own/tune_r_bring_your_own .. notebook does not render (no title) Rapids ======= .. toctree:: :maxdepth: 1 ../hyperparameter_tuning/rapids_bring_your_own/rapids_sagemaker_hpo TensorFlow ============ .. toctree:: :maxdepth: 1 ../hyperparameter_tuning/tensorflow_mnist/hpo_tensorflow_mnist ../hyperparameter_tuning/keras_bring_your_own/hpo_bring_your_own_keras_container ../hyperparameter_tuning/tensorflow2_mnist/hpo_tensorflow2_mnist XGBoost ========= .. toctree:: :maxdepth: 1 ../hyperparameter_tuning/xgboost_direct_marketing/hpo_xgboost_direct_marketing_sagemaker_APIs ../hyperparameter_tuning/xgboost_direct_marketing/hpo_xgboost_direct_marketing_sagemaker_python_sdk ../hyperparameter_tuning/xgboost_random_log/hpo_xgboost_random_log BlazingText ============ .. toctree:: :maxdepth: 1 ../hyperparameter_tuning/blazingtext_text_classification_20_newsgroups/hpo_blazingtext_text_classification_20_newsgroups Use cases ========= Analyze results --------------- .. toctree:: :maxdepth: 1 ../hyperparameter_tuning/analyze_results/HPO_Analyze_TuningJob_Results Early stopping -------------------- .. toctree:: :maxdepth: 1 ../hyperparameter_tuning/image_classification_early_stopping/hpo_image_classification_early_stopping Warm start -------------------- .. toctree:: :maxdepth: 1 ../hyperparameter_tuning/image_classification_warmstart/hpo_image_classification_warmstart