@Generated(value="jsii-pacmak/1.74.0 (build 6d08790)",
date="2023-03-22T19:35:50.467Z")
public interface TransformResources
Example:
SageMakerCreateTransformJob.Builder.create(this, "Batch Inference") .transformJobName("MyTransformJob") .modelName("MyModelName") .modelClientOptions(ModelClientOptions.builder() .invocationsMaxRetries(3) // default is 0 .invocationsTimeout(Duration.minutes(5)) .build()) .transformInput(TransformInput.builder() .transformDataSource(TransformDataSource.builder() .s3DataSource(TransformS3DataSource.builder() .s3Uri("s3://inputbucket/train") .s3DataType(S3DataType.S3_PREFIX) .build()) .build()) .build()) .transformOutput(TransformOutput.builder() .s3OutputPath("s3://outputbucket/TransformJobOutputPath") .build()) .transformResources(TransformResources.builder() .instanceCount(1) .instanceType(InstanceType.of(InstanceClass.M4, InstanceSize.XLARGE)) .build()) .build();
Modifier and Type | Interface and Description |
---|---|
static class |
TransformResources.Builder
A builder for
TransformResources |
static class |
TransformResources.Jsii$Proxy
An implementation for
TransformResources |
Modifier and Type | Method and Description |
---|---|
static TransformResources.Builder |
builder() |
java.lang.Number |
getInstanceCount()
Number of ML compute instances to use in the transform job.
|
InstanceType |
getInstanceType()
ML compute instance type for the transform job.
|
default IKey |
getVolumeEncryptionKey()
AWS KMS key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s).
|
java.lang.Number getInstanceCount()
InstanceType getInstanceType()
default IKey getVolumeEncryptionKey()
Default: - None
static TransformResources.Builder builder()
TransformResources.Builder
of TransformResources