@Stability(value=Experimental) public static final class SagemakerTransformProps.Builder extends Object
SagemakerTransformProps| Constructor and Description |
|---|
Builder() |
@Stability(value=Experimental) public SagemakerTransformProps.Builder withModelName(String value)
value - Name of the model that you want to use for the transform job.this@Stability(value=Experimental) public SagemakerTransformProps.Builder withTransformInput(TransformInput value)
value - Dataset to be transformed and the Amazon S3 location where it is stored.this@Stability(value=Experimental) public SagemakerTransformProps.Builder withTransformJobName(String value)
value - Training Job Name.this@Stability(value=Experimental) public SagemakerTransformProps.Builder withTransformOutput(TransformOutput value)
value - S3 location where you want Amazon SageMaker to save the results from the transform job.this@Stability(value=Experimental) public SagemakerTransformProps.Builder withBatchStrategy(@Nullable BatchStrategy value)
value - Number of records to include in a mini-batch for an HTTP inference request.this@Stability(value=Experimental) public SagemakerTransformProps.Builder withEnvironment(@Nullable Map<String,Object> value)
value - Environment variables to set in the Docker container.this@Stability(value=Experimental) public SagemakerTransformProps.Builder withMaxConcurrentTransforms(@Nullable Number value)
value - Maximum number of parallel requests that can be sent to each instance in a transform job.this@Stability(value=Experimental) public SagemakerTransformProps.Builder withMaxPayloadInMb(@Nullable Number value)
value - Maximum allowed size of the payload, in MB.this@Stability(value=Experimental) public SagemakerTransformProps.Builder withRole(@Nullable software.amazon.awscdk.services.iam.IRole value)
value - Role for thte Training Job.this@Stability(value=Experimental) public SagemakerTransformProps.Builder withSynchronous(@Nullable Boolean value)
value - Specify if the task is synchronous or asychronous.this@Stability(value=Experimental) public SagemakerTransformProps.Builder withTags(@Nullable Map<String,Object> value)
value - Tags to be applied to the train job.this@Stability(value=Experimental) public SagemakerTransformProps.Builder withTransformResources(@Nullable TransformResources value)
value - ML compute instances for the transform job.this@Stability(value=Experimental) public SagemakerTransformProps build()
SagemakerTransformPropsNullPointerException - if any required attribute was not providedCopyright © 2019. All rights reserved.