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

Inherits:
Struct
  • Object
show all
Defined in:
gems/aws-sdk-sagemaker/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.

Constant Summary collapse

SENSITIVE =
[]

Instance Attribute Summary collapse

Instance Attribute Details

#instance_countInteger

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)


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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 25746

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

#instance_typeString

The ML compute instance type for the processing job.

Returns:

  • (String)


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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 25746

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

#volume_kms_key_idString

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)


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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 25746

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

#volume_size_in_gbInteger

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)


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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 25746

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