Class: Aws::SageMaker::Types::TransformResources
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::TransformResources
- Defined in:
- gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb
Overview
Describes the resources, including ML instance types and ML instance count, to use for transform job.
Constant Summary collapse
- SENSITIVE =
[]
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.
-
#transform_ami_version ⇒ String
Specifies an option from a collection of preconfigured Amazon Machine Image (AMI) images.
-
#volume_kms_key_id ⇒ String
The Amazon Web Services Key Management Service (Amazon Web Services 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. The
default value is 1
, and the maximum is 100
. For distributed
transform jobs, specify a value greater than 1
.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46939 class TransformResources < Struct.new( :instance_type, :instance_count, :volume_kms_key_id, :transform_ami_version) SENSITIVE = [] 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 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46939 class TransformResources < Struct.new( :instance_type, :instance_count, :volume_kms_key_id, :transform_ami_version) SENSITIVE = [] include Aws::Structure end |
#transform_ami_version ⇒ String
Specifies an option from a collection of preconfigured Amazon Machine Image (AMI) images. Each image is configured by Amazon Web Services with a set of software and driver versions.
- al2-ami-sagemaker-batch-gpu-470
Accelerator: GPU
NVIDIA driver version: 470
- al2-ami-sagemaker-batch-gpu-535
Accelerator: GPU
NVIDIA driver version: 535
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46939 class TransformResources < Struct.new( :instance_type, :instance_count, :volume_kms_key_id, :transform_ami_version) SENSITIVE = [] include Aws::Structure end |
#volume_kms_key_id ⇒ String
The Amazon Web Services Key Management Service (Amazon Web Services 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.
VolumeKmsKeyId
when using an instance type with local storage.
For a list of instance types that support local instance storage, see Instance Store Volumes.
For more information about local instance storage encryption, see SSD Instance Store Volumes.
The VolumeKmsKeyId
can be any of the following formats:
Key ID:
1234abcd-12ab-34cd-56ef-1234567890ab
Key ARN:
arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
Alias name:
alias/ExampleAlias
Alias name ARN:
arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46939 class TransformResources < Struct.new( :instance_type, :instance_count, :volume_kms_key_id, :transform_ami_version) SENSITIVE = [] include Aws::Structure end |