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Class: Aws::SageMaker::Types::TransformResources
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::TransformResources
- Defined in:
- (unknown)
Overview
When passing TransformResources as input to an Aws::Client method, you can use a vanilla 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.
Returned by:
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
.
#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.
Possible values:
- 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
#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:
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