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

Inherits:

Struct

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

Includes:

Aws::Structure

Defined in:

lib/aws-sdk-sagemaker/types.rb

Overview

Note:

When making an API call, you may pass MonitoringClusterConfig data as a hash:

{
  instance_count: 1, # required
  instance_type: "ml.t3.medium", # required, 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
  volume_size_in_gb: 1, # required
  volume_kms_key_id: "KmsKeyId",
}

Configuration for the cluster used to run model monitoring jobs.

See Also:

• AWS API Documentation

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 AWS Key Management Service (AWS KMS) key that Amazon SageMaker 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 'lib/aws-sdk-sagemaker/types.rb', line 14760

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

#instance_type ⇒ String

The ML compute instance type for the processing job.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 14760

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

#volume_kms_key_id ⇒ String

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

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 14760

class MonitoringClusterConfig < Struct.new(
  :instance_count,
  :instance_type,
  :volume_size_in_gb,
  :volume_kms_key_id)
  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 'lib/aws-sdk-sagemaker/types.rb', line 14760

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