| Copyright | (c) 2013-2023 Brendan Hay | 
|---|---|
| License | Mozilla Public License, v. 2.0. | 
| Maintainer | Brendan Hay | 
| Stability | auto-generated | 
| Portability | non-portable (GHC extensions) | 
| Safe Haskell | Safe-Inferred | 
| Language | Haskell2010 | 
Amazonka.SageMaker.Types.TransformResources
Description
Synopsis
- data TransformResources = TransformResources' {}
 - newTransformResources :: TransformInstanceType -> Natural -> TransformResources
 - transformResources_volumeKmsKeyId :: Lens' TransformResources (Maybe Text)
 - transformResources_instanceType :: Lens' TransformResources TransformInstanceType
 - transformResources_instanceCount :: Lens' TransformResources Natural
 
Documentation
data TransformResources Source #
Describes the resources, including ML instance types and ML instance count, to use for transform job.
See: newTransformResources smart constructor.
Constructors
| TransformResources' | |
Fields 
  | |
Instances
newTransformResources Source #
Arguments
| :: TransformInstanceType | |
| -> Natural | |
| -> TransformResources | 
Create a value of TransformResources with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:volumeKmsKeyId:TransformResources', transformResources_volumeKmsKeyId - 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.
Certain Nitro-based instances include local storage, dependent on the
 instance type. Local storage volumes are encrypted using a hardware
 module on the instance. You can't request a 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 
$sel:instanceType:TransformResources', transformResources_instanceType - 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.largeinstance types.
$sel:instanceCount:TransformResources', transformResources_instanceCount - 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.
transformResources_volumeKmsKeyId :: Lens' TransformResources (Maybe Text) Source #
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.
Certain Nitro-based instances include local storage, dependent on the
 instance type. Local storage volumes are encrypted using a hardware
 module on the instance. You can't request a 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 
transformResources_instanceType :: Lens' TransformResources TransformInstanceType Source #
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.largeinstance types.
transformResources_instanceCount :: Lens' TransformResources Natural Source #
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.