class Aws::SageMaker::Types::DebugRuleConfiguration

Configuration information for SageMaker Debugger rules for debugging. To learn more about how to configure the `DebugRuleConfiguration` parameter, see [Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job].

[1]: docs.aws.amazon.com/sagemaker/latest/dg/debugger-createtrainingjob-api.html

@note When making an API call, you may pass DebugRuleConfiguration

data as a hash:

    {
      rule_configuration_name: "RuleConfigurationName", # required
      local_path: "DirectoryPath",
      s3_output_path: "S3Uri",
      rule_evaluator_image: "AlgorithmImage", # required
      instance_type: "ml.t3.medium", # accepts ml.t3.medium, ml.t3.large, ml.t3.xlarge, ml.t3.2xlarge, ml.m4.xlarge, ml.m4.2xlarge, ml.m4.4xlarge, ml.m4.10xlarge, ml.m4.16xlarge, ml.c4.xlarge, ml.c4.2xlarge, ml.c4.4xlarge, ml.c4.8xlarge, ml.p2.xlarge, ml.p2.8xlarge, ml.p2.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge, ml.p3.16xlarge, ml.c5.xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.c5.18xlarge, ml.m5.large, ml.m5.xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.2xlarge, ml.r5.4xlarge, ml.r5.8xlarge, ml.r5.12xlarge, ml.r5.16xlarge, ml.r5.24xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.12xlarge, ml.g4dn.16xlarge
      volume_size_in_gb: 1,
      rule_parameters: {
        "ConfigKey" => "ConfigValue",
      },
    }

@!attribute [rw] rule_configuration_name

The name of the rule configuration. It must be unique relative to
other rule configuration names.
@return [String]

@!attribute [rw] local_path

Path to local storage location for output of rules. Defaults to
`/opt/ml/processing/output/rule/`.
@return [String]

@!attribute [rw] s3_output_path

Path to Amazon S3 storage location for rules.
@return [String]

@!attribute [rw] rule_evaluator_image

The Amazon Elastic Container (ECR) Image for the managed rule
evaluation.
@return [String]

@!attribute [rw] instance_type

The instance type to deploy a Debugger custom rule for debugging a
training job.
@return [String]

@!attribute [rw] volume_size_in_gb

The size, in GB, of the ML storage volume attached to the processing
instance.
@return [Integer]

@!attribute [rw] rule_parameters

Runtime configuration for rule container.
@return [Hash<String,String>]

@see docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DebugRuleConfiguration AWS API Documentation

Constants

SENSITIVE