@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class TransformResources extends Object implements Serializable, Cloneable, StructuredPojo
Describes the resources, including ML instance types and ML instance count, to use for transform job.
Constructor and Description |
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TransformResources() |
Modifier and Type | Method and Description |
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TransformResources |
clone() |
boolean |
equals(Object obj) |
Integer |
getInstanceCount()
The number of ML compute instances to use in the transform job.
|
String |
getInstanceType()
The ML compute instance type for the transform job.
|
String |
getVolumeKmsKeyId()
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.
|
int |
hashCode() |
void |
marshall(ProtocolMarshaller protocolMarshaller)
Marshalls this structured data using the given
ProtocolMarshaller . |
void |
setInstanceCount(Integer instanceCount)
The number of ML compute instances to use in the transform job.
|
void |
setInstanceType(String instanceType)
The ML compute instance type for the transform job.
|
void |
setVolumeKmsKeyId(String volumeKmsKeyId)
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.
|
String |
toString()
Returns a string representation of this object.
|
TransformResources |
withInstanceCount(Integer instanceCount)
The number of ML compute instances to use in the transform job.
|
TransformResources |
withInstanceType(String instanceType)
The ML compute instance type for the transform job.
|
TransformResources |
withInstanceType(TransformInstanceType instanceType)
The ML compute instance type for the transform job.
|
TransformResources |
withVolumeKmsKeyId(String volumeKmsKeyId)
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.
|
public void setInstanceType(String 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.large
instance types.
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.large
instance types.TransformInstanceType
public String getInstanceType()
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.
ml.m5.large
instance types.TransformInstanceType
public TransformResources withInstanceType(String 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.large
instance types.
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.large
instance types.TransformInstanceType
public TransformResources withInstanceType(TransformInstanceType 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.large
instance types.
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.large
instance types.TransformInstanceType
public void setInstanceCount(Integer instanceCount)
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
.
instanceCount
- 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
.public Integer getInstanceCount()
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
.
1
.public TransformResources withInstanceCount(Integer instanceCount)
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
.
instanceCount
- 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
.public void setVolumeKmsKeyId(String volumeKmsKeyId)
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
volumeKmsKeyId
- 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
public String getVolumeKmsKeyId()
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
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
public TransformResources withVolumeKmsKeyId(String volumeKmsKeyId)
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
volumeKmsKeyId
- 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
public String toString()
toString
in class Object
Object.toString()
public TransformResources clone()
public void marshall(ProtocolMarshaller protocolMarshaller)
StructuredPojo
ProtocolMarshaller
.marshall
in interface StructuredPojo
protocolMarshaller
- Implementation of ProtocolMarshaller
used to marshall this object's data.