AutoMLJobArn => Str

The Amazon Resource Name (ARN) of the AutoML transform job.

BatchStrategy => Str

Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.

To enable the batch strategy, you must set "SplitType" to "Line", "RecordIO", or "TFRecord".

Valid values are: "MultiRecord", "SingleRecord" =head2 REQUIRED CreationTime => Str

A timestamp that shows when the transform Job was created.

DataProcessing => Paws::SageMaker::DataProcessing

Environment => Paws::SageMaker::TransformEnvironmentMap

The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

ExperimentConfig => Paws::SageMaker::ExperimentConfig

FailureReason => Str

If the transform job failed, "FailureReason" describes why it failed. A transform job creates a log file, which includes error messages, and stores it as an Amazon S3 object. For more information, see Log Amazon SageMaker Events with Amazon CloudWatch (https://docs.aws.amazon.com/sagemaker/latest/dg/logging-cloudwatch.html).

LabelingJobArn => Str

The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.

MaxConcurrentTransforms => Int

The maximum number of parallel requests on each instance node that can be launched in a transform job. The default value is 1.

MaxPayloadInMB => Int

The maximum payload size, in MB, used in the transform job.

ModelClientConfig => Paws::SageMaker::ModelClientConfig

The timeout and maximum number of retries for processing a transform job invocation.

REQUIRED ModelName => Str

The name of the model used in the transform job.

TransformEndTime => Str

Indicates when the transform job has been completed, or has stopped or failed. You are billed for the time interval between this time and the value of "TransformStartTime".

REQUIRED TransformInput => Paws::SageMaker::TransformInput

Describes the dataset to be transformed and the Amazon S3 location where it is stored.

REQUIRED TransformJobArn => Str

The Amazon Resource Name (ARN) of the transform job.

REQUIRED TransformJobName => Str

The name of the transform job.

REQUIRED TransformJobStatus => Str

The status of the transform job. If the transform job failed, the reason is returned in the "FailureReason" field.

Valid values are: "InProgress", "Completed", "Failed", "Stopping", "Stopped" =head2 TransformOutput => Paws::SageMaker::TransformOutput

Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.

REQUIRED TransformResources => Paws::SageMaker::TransformResources

Describes the resources, including ML instance types and ML instance count, to use for the transform job.

TransformStartTime => Str

Indicates when the transform job starts on ML instances. You are billed for the time interval between this time and the value of "TransformEndTime".

_request_id => Str