| Package | Description |
|---|---|
| com.amazonaws.services.sagemaker |
Provides APIs for creating and managing SageMaker resources.
|
| com.amazonaws.services.sagemaker.model |
| Modifier and Type | Method and Description |
|---|---|
Future<CreateTransformJobResult> |
AbstractAmazonSageMakerAsync.createTransformJobAsync(CreateTransformJobRequest request,
AsyncHandler<CreateTransformJobRequest,CreateTransformJobResult> asyncHandler) |
Future<CreateTransformJobResult> |
AmazonSageMakerAsyncClient.createTransformJobAsync(CreateTransformJobRequest request,
AsyncHandler<CreateTransformJobRequest,CreateTransformJobResult> asyncHandler) |
Future<CreateTransformJobResult> |
AmazonSageMakerAsync.createTransformJobAsync(CreateTransformJobRequest createTransformJobRequest,
AsyncHandler<CreateTransformJobRequest,CreateTransformJobResult> asyncHandler)
Starts a transform job.
|
| Modifier and Type | Method and Description |
|---|---|
CreateTransformJobRequest |
CreateTransformJobRequest.addEnvironmentEntry(String key,
String value)
Add a single Environment entry
|
CreateTransformJobRequest |
CreateTransformJobRequest.clearEnvironmentEntries()
Removes all the entries added into Environment.
|
CreateTransformJobRequest |
CreateTransformJobRequest.clone() |
CreateTransformJobRequest |
CreateTransformJobRequest.withBatchStrategy(BatchStrategy batchStrategy)
Specifies the number of records to include in a mini-batch for an HTTP inference request.
|
CreateTransformJobRequest |
CreateTransformJobRequest.withBatchStrategy(String batchStrategy)
Specifies the number of records to include in a mini-batch for an HTTP inference request.
|
CreateTransformJobRequest |
CreateTransformJobRequest.withDataCaptureConfig(BatchDataCaptureConfig dataCaptureConfig)
Configuration to control how SageMaker captures inference data.
|
CreateTransformJobRequest |
CreateTransformJobRequest.withDataProcessing(DataProcessing dataProcessing)
The data structure used to specify the data to be used for inference in a batch transform job and to associate
the data that is relevant to the prediction results in the output.
|
CreateTransformJobRequest |
CreateTransformJobRequest.withEnvironment(Map<String,String> environment)
The environment variables to set in the Docker container.
|
CreateTransformJobRequest |
CreateTransformJobRequest.withExperimentConfig(ExperimentConfig experimentConfig) |
CreateTransformJobRequest |
CreateTransformJobRequest.withMaxConcurrentTransforms(Integer maxConcurrentTransforms)
The maximum number of parallel requests that can be sent to each instance in a transform job.
|
CreateTransformJobRequest |
CreateTransformJobRequest.withMaxPayloadInMB(Integer maxPayloadInMB)
The maximum allowed size of the payload, in MB.
|
CreateTransformJobRequest |
CreateTransformJobRequest.withModelClientConfig(ModelClientConfig modelClientConfig)
Configures the timeout and maximum number of retries for processing a transform job invocation.
|
CreateTransformJobRequest |
CreateTransformJobRequest.withModelName(String modelName)
The name of the model that you want to use for the transform job.
|
CreateTransformJobRequest |
CreateTransformJobRequest.withTags(Collection<Tag> tags)
(Optional) An array of key-value pairs.
|
CreateTransformJobRequest |
CreateTransformJobRequest.withTags(Tag... tags)
(Optional) An array of key-value pairs.
|
CreateTransformJobRequest |
CreateTransformJobRequest.withTransformInput(TransformInput transformInput)
Describes the input source and the way the transform job consumes it.
|
CreateTransformJobRequest |
CreateTransformJobRequest.withTransformJobName(String transformJobName)
The name of the transform job.
|
CreateTransformJobRequest |
CreateTransformJobRequest.withTransformOutput(TransformOutput transformOutput)
Describes the results of the transform job.
|
CreateTransformJobRequest |
CreateTransformJobRequest.withTransformResources(TransformResources transformResources)
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
|
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