DescribeTransformJobResponse class
Constructors
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DescribeTransformJobResponse({required DateTime creationTime, required String modelName, required TransformInput transformInput, required String transformJobArn, required String transformJobName, required TransformJobStatus transformJobStatus, required TransformResources transformResources, String? autoMLJobArn, BatchStrategy? batchStrategy, DataProcessing? dataProcessing, Map<String, String>? environment, ExperimentConfig? experimentConfig, String? failureReason, String? labelingJobArn, int? maxConcurrentTransforms, int? maxPayloadInMB, ModelClientConfig? modelClientConfig, DateTime? transformEndTime, TransformOutput? transformOutput, DateTime? transformStartTime})
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DescribeTransformJobResponse.fromJson(Map<String, dynamic> json)
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factory
Properties
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autoMLJobArn
→ String?
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The Amazon Resource Name (ARN) of the AutoML transform job.
final
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batchStrategy
→ BatchStrategy?
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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.
final
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creationTime
→ DateTime
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A timestamp that shows when the transform Job was created.
final
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dataProcessing
→ DataProcessing?
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final
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environment
→ Map<String, String>?
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The environment variables to set in the Docker container. We support up to
16 key and values entries in the map.
final
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experimentConfig
→ ExperimentConfig?
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final
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failureReason
→ String?
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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.
final
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hashCode
→ int
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The hash code for this object.
no setterinherited
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labelingJobArn
→ String?
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The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling
job that created the transform or training job.
final
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maxConcurrentTransforms
→ int?
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The maximum number of parallel requests on each instance node that can be
launched in a transform job. The default value is 1.
final
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maxPayloadInMB
→ int?
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The maximum payload size, in MB, used in the transform job.
final
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modelClientConfig
→ ModelClientConfig?
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The timeout and maximum number of retries for processing a transform job
invocation.
final
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modelName
→ String
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The name of the model used in the transform job.
final
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runtimeType
→ Type
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A representation of the runtime type of the object.
no setterinherited
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transformEndTime
→ DateTime?
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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.
final
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transformInput
→ TransformInput
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Describes the dataset to be transformed and the Amazon S3 location where it
is stored.
final
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transformJobArn
→ String
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The Amazon Resource Name (ARN) of the transform job.
final
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transformJobName
→ String
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The name of the transform job.
final
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transformJobStatus
→ TransformJobStatus
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The status of the transform job. If the transform job failed, the reason is
returned in the
FailureReason field.
final
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transformOutput
→ TransformOutput?
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Identifies the Amazon S3 location where you want Amazon SageMaker to save
the results from the transform job.
final
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transformResources
→ TransformResources
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Describes the resources, including ML instance types and ML instance count,
to use for the transform job.
final
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transformStartTime
→ DateTime?
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Indicates when the transform job starts on ML instances. You are billed for
the time interval between this time and the value of
TransformEndTime.
final
Methods
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noSuchMethod(Invocation invocation)
→ dynamic
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Invoked when a nonexistent method or property is accessed.
inherited
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toString()
→ String
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A string representation of this object.
inherited
