Management Features
===================

Examples on how to use SageMaker's training management features.

Early stopping
--------------------

.. toctree::
   :maxdepth: 1

   ../hyperparameter_tuning/image_classification_early_stopping/hpo_image_classification_early_stopping


Spot training
---------------

.. toctree::
   :maxdepth: 1

   ../introduction_to_amazon_algorithms/managed_spot_training_object_detection/managed_spot_training_object_detection
   ../introduction_to_amazon_algorithms/xgboost_abalone/xgboost_managed_spot_training
   ../sagemaker-python-sdk/managed_spot_training_tensorflow_estimator/managed_spot_training_tensorflow_estimator
   ../sagemaker-python-sdk/managed_spot_training_mxnet/managed_spot_training_mxnet

Warm start
--------------------

.. toctree::
   :maxdepth: 1

   ../hyperparameter_tuning/image_classification_warmstart/hpo_image_classification_warmstart