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