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pub struct DebugRuleConfiguration {
    pub instance_type: Option<String>,
    pub local_path: Option<String>,
    pub rule_configuration_name: String,
    pub rule_evaluator_image: String,
    pub rule_parameters: Option<HashMap<String, String>>,
    pub s3_output_path: Option<String>,
    pub volume_size_in_gb: Option<i64>,
}
Expand description

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.

Fields

instance_type: Option<String>

The instance type to deploy a Debugger custom rule for debugging a training job.

local_path: Option<String>

Path to local storage location for output of rules. Defaults to /opt/ml/processing/output/rule/.

rule_configuration_name: String

The name of the rule configuration. It must be unique relative to other rule configuration names.

rule_evaluator_image: String

The Amazon Elastic Container (ECR) Image for the managed rule evaluation.

rule_parameters: Option<HashMap<String, String>>

Runtime configuration for rule container.

s3_output_path: Option<String>

Path to Amazon S3 storage location for rules.

volume_size_in_gb: Option<i64>

The size, in GB, of the ML storage volume attached to the processing instance.

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