Class: Aws::SageMaker::Types::MonitoringClusterConfig

Inherits:

Struct

• Object
• Struct
• Aws::SageMaker::Types::MonitoringClusterConfig

Defined in:

gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb

Overview

Configuration for the cluster used to run model monitoring jobs.

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #instance_count ⇒ Integer

  The number of ML compute instances to use in the model monitoring job.

• #instance_type ⇒ String

  The ML compute instance type for the processing job.

• #volume_kms_key_id ⇒ String

  The Key Management Service (KMS) key that Amazon SageMaker AI uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.

• #volume_size_in_gb ⇒ Integer

  The size of the ML storage volume, in gigabytes, that you want to provision.

Instance Attribute Details

#instance_count ⇒ Integer

The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. The default value is 1.

Returns:

• (Integer)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 35585

class MonitoringClusterConfig < Struct.new(
  :instance_count,
  :instance_type,
  :volume_size_in_gb,
  :volume_kms_key_id)
  SENSITIVE = []
  include Aws::Structure
end

#instance_type ⇒ String

The ML compute instance type for the processing job.

Returns:

• (String)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 35585

class MonitoringClusterConfig < Struct.new(
  :instance_count,
  :instance_type,
  :volume_size_in_gb,
  :volume_kms_key_id)
  SENSITIVE = []
  include Aws::Structure
end

#volume_kms_key_id ⇒ String

The Key Management Service (KMS) key that Amazon SageMaker AI uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.

Returns:

• (String)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 35585

class MonitoringClusterConfig < Struct.new(
  :instance_count,
  :instance_type,
  :volume_size_in_gb,
  :volume_kms_key_id)
  SENSITIVE = []
  include Aws::Structure
end

#volume_size_in_gb ⇒ Integer

The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.

Returns:

• (Integer)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 35585

class MonitoringClusterConfig < Struct.new(
  :instance_count,
  :instance_type,
  :volume_size_in_gb,
  :volume_kms_key_id)
  SENSITIVE = []
  include Aws::Structure
end