Class: Aws::SageMaker::Types::TransformResources
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::TransformResources
- Includes:
- Aws::Structure
- Defined in:
- lib/aws-sdk-sagemaker/types.rb
Overview
When making an API call, you may pass TransformResources data as a hash:
{
instance_type: "ml.m4.xlarge", # required, accepts 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
instance_count: 1, # required
volume_kms_key_id: "KmsKeyId",
}
Describes the resources, including ML instance types and ML instance count, to use for transform job.
Instance Attribute Summary collapse
-
#instance_count ⇒ Integer
The number of ML compute instances to use in the transform job.
-
#instance_type ⇒ String
The ML compute instance type for the transform job.
-
#volume_kms_key_id ⇒ String
The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt model data on the storage volume attached to the ML compute instance(s) that run the batch transform job.
Instance Attribute Details
#instance_count ⇒ Integer
The number of ML compute instances to use in the transform job. For distributed transform jobs, specify a value greater than 1. The default value is ‘1`.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 18928 class TransformResources < Struct.new( :instance_type, :instance_count, :volume_kms_key_id) include Aws::Structure end |
#instance_type ⇒ String
The ML compute instance type for the transform job. If you are using built-in algorithms to transform moderately sized datasets, we recommend using ml.m4.xlarge or ‘ml.m5.large` instance types.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 18928 class TransformResources < Struct.new( :instance_type, :instance_count, :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 model data on the storage volume attached to the ML compute instance(s) that run the batch transform job. The ‘VolumeKmsKeyId` can be any of the following formats:
-
// KMS Key ID
‘“1234abcd-12ab-34cd-56ef-1234567890ab”`
-
// Amazon Resource Name (ARN) of a KMS Key
‘“arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab”`
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# File 'lib/aws-sdk-sagemaker/types.rb', line 18928 class TransformResources < Struct.new( :instance_type, :instance_count, :volume_kms_key_id) include Aws::Structure end |