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pub struct DescribeTransformJobResponse {
Show 20 fields pub auto_ml_job_arn: Option<String>, pub batch_strategy: Option<String>, pub creation_time: f64, pub data_processing: Option<DataProcessing>, pub environment: Option<HashMap<String, String>>, pub experiment_config: Option<ExperimentConfig>, pub failure_reason: Option<String>, pub labeling_job_arn: Option<String>, pub max_concurrent_transforms: Option<i64>, pub max_payload_in_mb: Option<i64>, pub model_client_config: Option<ModelClientConfig>, pub model_name: String, pub transform_end_time: Option<f64>, pub transform_input: TransformInput, pub transform_job_arn: String, pub transform_job_name: String, pub transform_job_status: String, pub transform_output: Option<TransformOutput>, pub transform_resources: TransformResources, pub transform_start_time: Option<f64>,
}

Fields

auto_ml_job_arn: Option<String>

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

batch_strategy: Option<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.

creation_time: f64

A timestamp that shows when the transform Job was created.

data_processing: Option<DataProcessing>environment: Option<HashMap<String, String>>

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

experiment_config: Option<ExperimentConfig>failure_reason: Option<String>

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.

labeling_job_arn: Option<String>

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

max_concurrent_transforms: Option<i64>

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

max_payload_in_mb: Option<i64>

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

model_client_config: Option<ModelClientConfig>

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

model_name: String

The name of the model used in the transform job.

transform_end_time: Option<f64>

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.

transform_input: TransformInput

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

transform_job_arn: String

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

transform_job_name: String

The name of the transform job.

transform_job_status: String

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

transform_output: Option<TransformOutput>

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

transform_resources: TransformResources

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

transform_start_time: Option<f64>

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

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