DebugRuleConfiguration ¶

class DebugRuleConfiguration(TypedDict, closed=True):
    rule_configuration_name: NotRequired[
        "capo_sagemaker.types.rule_configuration_name.RuleConfigurationName"
    ]
    """<p>The name of the rule configuration. It must be unique relative to other rule configuration names.</p>"""
    local_path: NotRequired["capo_sagemaker.types.directory_path.DirectoryPath"]
    """<p>Path to local storage location for output of rules. Defaults to <code>/opt/ml/processing/output/rule/</code>.</p>"""
    s3_output_path: NotRequired["capo_sagemaker.types.s3_uri.S3Uri"]
    """<p>Path to Amazon S3 storage location for rules.</p>"""
    rule_evaluator_image: NotRequired[
        "capo_sagemaker.types.algorithm_image.AlgorithmImage"
    ]
    """<p>The Amazon Elastic Container (ECR) Image for the managed rule evaluation.</p>"""
    instance_type: NotRequired[
        "capo_sagemaker.types.processing_instance_type.ProcessingInstanceType"
    ]
    """<p>The instance type to deploy a custom rule for debugging a training job.</p>"""
    volume_size_in_gb: NotRequired[
        "capo_sagemaker.types.optional_volume_size_in_gb.OptionalVolumeSizeInGB"
    ]
    """<p>The size, in GB, of the ML storage volume attached to the processing instance.</p>"""
    rule_parameters: NotRequired["capo_sagemaker.types.rule_parameters.RuleParameters"]
    """<p>Runtime configuration for rule container.</p>"""