#[non_exhaustive]
pub struct DebugRuleConfiguration { pub rule_configuration_name: Option<String>, pub local_path: Option<String>, pub s3_output_path: Option<String>, pub rule_evaluator_image: Option<String>, pub instance_type: Option<ProcessingInstanceType>, pub volume_size_in_gb: i32, pub rule_parameters: Option<HashMap<String, String>>, }
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 (Non-exhaustive)

This struct is marked as non-exhaustive
Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.
rule_configuration_name: Option<String>

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

local_path: Option<String>

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

s3_output_path: Option<String>

Path to Amazon S3 storage location for rules.

rule_evaluator_image: Option<String>

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

instance_type: Option<ProcessingInstanceType>

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

volume_size_in_gb: i32

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

rule_parameters: Option<HashMap<String, String>>

Runtime configuration for rule container.

Implementations

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

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

Path to Amazon S3 storage location for rules.

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

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

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

Runtime configuration for rule container.

Creates a new builder-style object to manufacture DebugRuleConfiguration

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