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