SageMaker: SMDebug RulesConfig (library for Amazon Sagemaker)
Amazon SageMaker Debugger is designed to be a debugger for machine learning models. It lets you go beyond just looking at scalars like losses and accuracies during training and gives you full visibility into all tensors 'flowing through the graph' during training or inference. Amazon SageMaker Debugger RulesConfig provides a mapping of builtin rules with default configurations. These configurations will affect both DebugHookConfig and DebugRuleConfigurations in the Amazon SageMaker Python SDK. This library, intended to be used with Amazon SageMaker Python SDK, helps you specify builtin rules without worrying about any details or tweak the configuration of builtin rules. These builtin rules are available in Amazon SageMaker.
pkg install py311-smdebug-rulesconfig