| Package | Description |
|---|---|
| com.amazonaws.services.sagemaker |
Provides APIs for creating and managing Amazon SageMaker resources.
|
| com.amazonaws.services.sagemaker.model | |
| com.amazonaws.services.sagemaker.waiters |
| Modifier and Type | Method and Description |
|---|---|
DescribeTransformJobResult |
AmazonSageMaker.describeTransformJob(DescribeTransformJobRequest describeTransformJobRequest)
Returns information about a transform job.
|
DescribeTransformJobResult |
AmazonSageMakerClient.describeTransformJob(DescribeTransformJobRequest request)
Returns information about a transform job.
|
DescribeTransformJobResult |
AbstractAmazonSageMaker.describeTransformJob(DescribeTransformJobRequest request) |
| Modifier and Type | Method and Description |
|---|---|
Future<DescribeTransformJobResult> |
AmazonSageMakerAsync.describeTransformJobAsync(DescribeTransformJobRequest describeTransformJobRequest,
AsyncHandler<DescribeTransformJobRequest,DescribeTransformJobResult> asyncHandler)
Returns information about a transform job.
|
Future<DescribeTransformJobResult> |
AbstractAmazonSageMakerAsync.describeTransformJobAsync(DescribeTransformJobRequest request,
AsyncHandler<DescribeTransformJobRequest,DescribeTransformJobResult> asyncHandler) |
Future<DescribeTransformJobResult> |
AmazonSageMakerAsyncClient.describeTransformJobAsync(DescribeTransformJobRequest request,
AsyncHandler<DescribeTransformJobRequest,DescribeTransformJobResult> asyncHandler) |
| Modifier and Type | Method and Description |
|---|---|
DescribeTransformJobResult |
DescribeTransformJobResult.addEnvironmentEntry(String key,
String value)
Add a single Environment entry
|
DescribeTransformJobResult |
DescribeTransformJobResult.clearEnvironmentEntries()
Removes all the entries added into Environment.
|
DescribeTransformJobResult |
DescribeTransformJobResult.clone() |
DescribeTransformJobResult |
DescribeTransformJobResult.withAutoMLJobArn(String autoMLJobArn)
|
DescribeTransformJobResult |
DescribeTransformJobResult.withBatchStrategy(BatchStrategy batchStrategy)
Specifies the number of records to include in a mini-batch for an HTTP inference request.
|
DescribeTransformJobResult |
DescribeTransformJobResult.withBatchStrategy(String batchStrategy)
Specifies the number of records to include in a mini-batch for an HTTP inference request.
|
DescribeTransformJobResult |
DescribeTransformJobResult.withCreationTime(Date creationTime)
A timestamp that shows when the transform Job was created.
|
DescribeTransformJobResult |
DescribeTransformJobResult.withDataProcessing(DataProcessing dataProcessing) |
DescribeTransformJobResult |
DescribeTransformJobResult.withEnvironment(Map<String,String> environment)
The environment variables to set in the Docker container.
|
DescribeTransformJobResult |
DescribeTransformJobResult.withExperimentConfig(ExperimentConfig experimentConfig) |
DescribeTransformJobResult |
DescribeTransformJobResult.withFailureReason(String failureReason)
If the transform job failed,
FailureReason describes why it failed. |
DescribeTransformJobResult |
DescribeTransformJobResult.withLabelingJobArn(String labelingJobArn)
The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or
training job.
|
DescribeTransformJobResult |
DescribeTransformJobResult.withMaxConcurrentTransforms(Integer maxConcurrentTransforms)
The maximum number of parallel requests on each instance node that can be launched in a transform job.
|
DescribeTransformJobResult |
DescribeTransformJobResult.withMaxPayloadInMB(Integer maxPayloadInMB)
The maximum payload size, in MB, used in the transform job.
|
DescribeTransformJobResult |
DescribeTransformJobResult.withModelName(String modelName)
The name of the model used in the transform job.
|
DescribeTransformJobResult |
DescribeTransformJobResult.withTransformEndTime(Date transformEndTime)
Indicates when the transform job has been completed, or has stopped or failed.
|
DescribeTransformJobResult |
DescribeTransformJobResult.withTransformInput(TransformInput transformInput)
Describes the dataset to be transformed and the Amazon S3 location where it is stored.
|
DescribeTransformJobResult |
DescribeTransformJobResult.withTransformJobArn(String transformJobArn)
The Amazon Resource Name (ARN) of the transform job.
|
DescribeTransformJobResult |
DescribeTransformJobResult.withTransformJobName(String transformJobName)
The name of the transform job.
|
DescribeTransformJobResult |
DescribeTransformJobResult.withTransformJobStatus(String transformJobStatus)
The status of the transform job.
|
DescribeTransformJobResult |
DescribeTransformJobResult.withTransformJobStatus(TransformJobStatus transformJobStatus)
The status of the transform job.
|
DescribeTransformJobResult |
DescribeTransformJobResult.withTransformOutput(TransformOutput transformOutput)
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
|
DescribeTransformJobResult |
DescribeTransformJobResult.withTransformResources(TransformResources transformResources)
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
|
DescribeTransformJobResult |
DescribeTransformJobResult.withTransformStartTime(Date transformStartTime)
Indicates when the transform job starts on ML instances.
|
| Modifier and Type | Method and Description |
|---|---|
DescribeTransformJobResult |
DescribeTransformJobFunction.apply(DescribeTransformJobRequest describeTransformJobRequest)
Makes a call to the operation specified by the waiter by taking the corresponding request and returns the
corresponding result
|
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