| Modifier and Type | Method and Description |
|---|---|
SagemakerTransformTask.Builder |
SagemakerTransformTask.Builder.batchStrategy(BatchStrategy batchStrategy)
Number of records to include in a mini-batch for an HTTP inference request.
|
static SagemakerTransformTask.Builder |
SagemakerTransformTask.Builder.create()
EXPERIMENTAL
|
SagemakerTransformTask.Builder |
SagemakerTransformTask.Builder.environment(Map<String,String> environment)
Environment variables to set in the Docker container.
|
SagemakerTransformTask.Builder |
SagemakerTransformTask.Builder.integrationPattern(ServiceIntegrationPattern integrationPattern)
The service integration pattern indicates different ways to call SageMaker APIs.
|
SagemakerTransformTask.Builder |
SagemakerTransformTask.Builder.maxConcurrentTransforms(Number maxConcurrentTransforms)
Maximum number of parallel requests that can be sent to each instance in a transform job.
|
SagemakerTransformTask.Builder |
SagemakerTransformTask.Builder.maxPayloadInMb(Number maxPayloadInMb)
Maximum allowed size of the payload, in MB.
|
SagemakerTransformTask.Builder |
SagemakerTransformTask.Builder.modelName(String modelName)
Name of the model that you want to use for the transform job.
|
SagemakerTransformTask.Builder |
SagemakerTransformTask.Builder.role(IRole role)
Role for thte Training Job.
|
SagemakerTransformTask.Builder |
SagemakerTransformTask.Builder.tags(Map<String,String> tags)
Tags to be applied to the train job.
|
SagemakerTransformTask.Builder |
SagemakerTransformTask.Builder.transformInput(TransformInput transformInput)
Dataset to be transformed and the Amazon S3 location where it is stored.
|
SagemakerTransformTask.Builder |
SagemakerTransformTask.Builder.transformJobName(String transformJobName)
Training Job Name.
|
SagemakerTransformTask.Builder |
SagemakerTransformTask.Builder.transformOutput(TransformOutput transformOutput)
S3 location where you want Amazon SageMaker to save the results from the transform job.
|
SagemakerTransformTask.Builder |
SagemakerTransformTask.Builder.transformResources(TransformResources transformResources)
ML compute instances for the transform job.
|
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