@Stability(value=Experimental) public static final class SagemakerTransformProps.Builder extends Object
SagemakerTransformProps| Constructor and Description |
|---|
Builder() |
@Stability(value=Experimental) public SagemakerTransformProps.Builder modelName(String modelName)
SagemakerTransformProps.getModelName()modelName - Name of the model that you want to use for the transform job. This parameter is required.this@Stability(value=Experimental) public SagemakerTransformProps.Builder transformInput(TransformInput transformInput)
SagemakerTransformProps.getTransformInput()transformInput - Dataset to be transformed and the Amazon S3 location where it is stored. This parameter is required.this@Stability(value=Experimental) public SagemakerTransformProps.Builder transformJobName(String transformJobName)
SagemakerTransformProps.getTransformJobName()transformJobName - Training Job Name. This parameter is required.this@Stability(value=Experimental) public SagemakerTransformProps.Builder transformOutput(TransformOutput transformOutput)
SagemakerTransformProps.getTransformOutput()transformOutput - S3 location where you want Amazon SageMaker to save the results from the transform job. This parameter is required.this@Stability(value=Experimental) public SagemakerTransformProps.Builder batchStrategy(BatchStrategy batchStrategy)
SagemakerTransformProps.getBatchStrategy()batchStrategy - Number of records to include in a mini-batch for an HTTP inference request.this@Stability(value=Experimental) public SagemakerTransformProps.Builder environment(Map<String,String> environment)
SagemakerTransformProps.getEnvironment()environment - Environment variables to set in the Docker container.this@Stability(value=Experimental) public SagemakerTransformProps.Builder integrationPattern(ServiceIntegrationPattern integrationPattern)
SagemakerTransformProps.getIntegrationPattern()integrationPattern - The service integration pattern indicates different ways to call SageMaker APIs.
The valid value is either FIRE_AND_FORGET or SYNC.this@Stability(value=Experimental) public SagemakerTransformProps.Builder maxConcurrentTransforms(Number maxConcurrentTransforms)
SagemakerTransformProps.getMaxConcurrentTransforms()maxConcurrentTransforms - Maximum number of parallel requests that can be sent to each instance in a transform job.this@Stability(value=Experimental) public SagemakerTransformProps.Builder maxPayloadInMb(Number maxPayloadInMb)
SagemakerTransformProps.getMaxPayloadInMb()maxPayloadInMb - Maximum allowed size of the payload, in MB.this@Stability(value=Experimental) public SagemakerTransformProps.Builder role(IRole role)
SagemakerTransformProps.getRole()role - Role for thte Training Job.this@Stability(value=Experimental) public SagemakerTransformProps.Builder tags(Map<String,String> tags)
SagemakerTransformProps.getTags()tags - Tags to be applied to the train job.this@Stability(value=Experimental) public SagemakerTransformProps.Builder transformResources(TransformResources transformResources)
SagemakerTransformProps.getTransformResources()transformResources - ML compute instances for the transform job.this@Stability(value=Experimental) public SagemakerTransformProps build()
SagemakerTransformPropsNullPointerException - if any required attribute was not providedCopyright © 2020. All rights reserved.