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DescribeTransformJobResponse Structure Reference
DescribeTransformJobResponse
public struct DescribeTransformJobResponse : AWSShapeUndocumented
-
Declaration
Swift
public static var _members: [AWSShapeMember] -
The Amazon Resource Name (ARN) of the AutoML transform job.
Declaration
Swift
public let autoMLJobArn: String? -
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.
Declaration
Swift
public let batchStrategy: BatchStrategy? -
A timestamp that shows when the transform Job was created.
Declaration
Swift
public let creationTime: TimeStamp -
Undocumented
Declaration
Swift
public let dataProcessing: DataProcessing? -
The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
Declaration
Swift
public let environment: [String : String]? -
Undocumented
Declaration
Swift
public let experimentConfig: ExperimentConfig? -
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.
Declaration
Swift
public let failureReason: String? -
The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.
Declaration
Swift
public let labelingJobArn: String? -
The maximum number of parallel requests on each instance node that can be launched in a transform job. The default value is 1.
Declaration
Swift
public let maxConcurrentTransforms: Int? -
The maximum payload size, in MB, used in the transform job.
Declaration
Swift
public let maxPayloadInMB: Int? -
The timeout and maximum number of retries for processing a transform job invocation.
Declaration
Swift
public let modelClientConfig: ModelClientConfig? -
The name of the model used in the transform job.
Declaration
Swift
public let modelName: String -
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.
Declaration
Swift
public let transformEndTime: TimeStamp? -
Describes the dataset to be transformed and the Amazon S3 location where it is stored.
Declaration
Swift
public let transformInput: TransformInput -
The Amazon Resource Name (ARN) of the transform job.
Declaration
Swift
public let transformJobArn: String -
The name of the transform job.
Declaration
Swift
public let transformJobName: String -
The status of the transform job. If the transform job failed, the reason is returned in the FailureReason field.
Declaration
Swift
public let transformJobStatus: TransformJobStatus -
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
Declaration
Swift
public let transformOutput: TransformOutput? -
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
Declaration
Swift
public let transformResources: TransformResources -
Indicates when the transform job starts on ML instances. You are billed for the time interval between this time and the value of TransformEndTime.
Declaration
Swift
public let transformStartTime: TimeStamp? -
init(autoMLJobArn:batchStrategy:creationTime:dataProcessing:environment:experimentConfig:failureReason:labelingJobArn:maxConcurrentTransforms:maxPayloadInMB:modelClientConfig:modelName:transformEndTime:transformInput:transformJobArn:transformJobName:transformJobStatus:transformOutput:transformResources:transformStartTime:)Undocumented
Declaration
Swift
public init(autoMLJobArn: String? = nil, batchStrategy: BatchStrategy? = nil, creationTime: TimeStamp, dataProcessing: DataProcessing? = nil, environment: [String : String]? = nil, experimentConfig: ExperimentConfig? = nil, failureReason: String? = nil, labelingJobArn: String? = nil, maxConcurrentTransforms: Int? = nil, maxPayloadInMB: Int? = nil, modelClientConfig: ModelClientConfig? = nil, modelName: String, transformEndTime: TimeStamp? = nil, transformInput: TransformInput, transformJobArn: String, transformJobName: String, transformJobStatus: TransformJobStatus, transformOutput: TransformOutput? = nil, transformResources: TransformResources, transformStartTime: TimeStamp? = nil)