Class: AWSCDK::Sagemaker::CfnModelQualityJobDefinition::ClusterConfigProperty

Inherits:
Jsii::Struct
  • Object
show all
Defined in:
sagemaker/cfn_model_quality_job_definition.rb

Overview

The configuration for the cluster of resources used to run the processing job.

See Also:

Instance Attribute Summary collapse

Class Method Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(instance_count:, instance_type:, volume_size_in_gb:, volume_kms_key_id: nil) ⇒ ClusterConfigProperty

Returns a new instance of ClusterConfigProperty.

Parameters:

  • instance_count (Numeric) —

    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_size_in_gb (Numeric) —

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

  • volume_kms_key_id (String, nil) (defaults to: nil) —

    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.



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# File 'sagemaker/cfn_model_quality_job_definition.rb', line 791

def initialize(instance_count:, instance_type:, volume_size_in_gb:, volume_kms_key_id: nil)
  @instance_count = instance_count
  Jsii::Type.check_type(@instance_count, JSON.parse(Base64.strict_decode64("eyJwcmltaXRpdmUiOiJudW1iZXIifQ==")), "instanceCount")
  @instance_type = instance_type
  Jsii::Type.check_type(@instance_type, JSON.parse(Base64.strict_decode64("eyJwcmltaXRpdmUiOiJzdHJpbmcifQ==")), "instanceType")
  @volume_size_in_gb = volume_size_in_gb
  Jsii::Type.check_type(@volume_size_in_gb, JSON.parse(Base64.strict_decode64("eyJwcmltaXRpdmUiOiJudW1iZXIifQ==")), "volumeSizeInGb")
  @volume_kms_key_id = volume_kms_key_id
  Jsii::Type.check_type(@volume_kms_key_id, JSON.parse(Base64.strict_decode64("eyJwcmltaXRpdmUiOiJzdHJpbmcifQ==")), "volumeKmsKeyId") unless @volume_kms_key_id.nil?
end

Instance Attribute Details

#instance_count ⇒ Numeric (readonly)

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:

  • (Numeric)

See Also:



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# File 'sagemaker/cfn_model_quality_job_definition.rb', line 808

def instance_count
  @instance_count
end

#instance_type ⇒ String (readonly)

The ML compute instance type for the processing job.

Returns:

  • (String)

See Also:



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# File 'sagemaker/cfn_model_quality_job_definition.rb', line 813

def instance_type
  @instance_type
end

#volume_kms_key_id ⇒ String? (readonly)

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, nil)

See Also:



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# File 'sagemaker/cfn_model_quality_job_definition.rb', line 825

def volume_kms_key_id
  @volume_kms_key_id
end

#volume_size_in_gb ⇒ Numeric (readonly)

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

You must specify sufficient ML storage for your scenario.

Returns:

  • (Numeric)

See Also:



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# File 'sagemaker/cfn_model_quality_job_definition.rb', line 820

def volume_size_in_gb
  @volume_size_in_gb
end

Class Method Details

.jsii_properties ⇒ Object 



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# File 'sagemaker/cfn_model_quality_job_definition.rb', line 827

def self.jsii_properties
  {
    :instance_count => "instanceCount",
    :instance_type => "instanceType",
    :volume_size_in_gb => "volumeSizeInGb",
    :volume_kms_key_id => "volumeKmsKeyId",
  }
end

Instance Method Details

#to_jsii ⇒ Object 



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# File 'sagemaker/cfn_model_quality_job_definition.rb', line 836

def to_jsii
  result = {}
  result.merge!({
    "instanceCount" => @instance_count,
    "instanceType" => @instance_type,
    "volumeSizeInGb" => @volume_size_in_gb,
    "volumeKmsKeyId" => @volume_kms_key_id,
  })
  result.compact
end