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Debugger

Amazon SageMaker Debugger provides full visibility into training jobs of state-of-the-art machine learning models. This SageMaker Debugger module provides high-level methods to set up Debugger configurations to monitor, profile, and debug your training job. Configure the Debugger-specific parameters when constructing a SageMaker estimator to gain visibility and insights into your training job.

Contents

.. currentmodule:: sagemaker.debugger

Debugger Rule APIs

.. autoclass:: get_rule_container_image_uri
    :show-inheritance:


.. autoclass:: get_default_profiler_processing_job
    :show-inheritance:

A helper module to configure the SageMaker Debugger built-in rules with the :class:`~sagemaker.debugger.Rule` classmethods and and the :class:`~sagemaker.debugger.ProfilerRule` classmethods.

For a full list of built-in rules, see List of Debugger Built-in Rules.

This module is imported from the Debugger client library for rule configuration. For more information, see Amazon SageMaker Debugger RulesConfig.

.. autoclass:: RuleBase
    :show-inheritance:


.. autoclass:: Rule
    :show-inheritance:
    :inherited-members:

Debugger Configuration APIs

.. autoclass:: CollectionConfig
    :show-inheritance:


.. autoclass:: DebuggerHookConfig
    :show-inheritance:


.. autoclass:: TensorBoardOutputConfig
    :show-inheritance: