Builder
Properties
The Amazon Resource Name (ARN) of the AutoML transform job.
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.
A timestamp that shows when the transform Job was created.
Configuration to control how SageMaker captures inference data.
The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records.
The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
Associates a SageMaker job as a trial component with an experiment and trial. Specified when you call the following APIs:
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.
The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.
The maximum number of parallel requests on each instance node that can be launched in a transform job. The default value is 1.
The maximum payload size, in MB, used in the transform job.
The timeout and maximum number of retries for processing a transform job invocation.
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
.
Describes the dataset to be transformed and the Amazon S3 location where it is stored.
The Amazon Resource Name (ARN) of the transform job.
The name of the transform job.
The status of the transform job. If the transform job failed, the reason is returned in the FailureReason
field.
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
Indicates when the transform job starts on ML instances. You are billed for the time interval between this time and the value of TransformEndTime
.
Functions
construct an aws.sdk.kotlin.services.sagemaker.model.BatchDataCaptureConfig inside the given block
construct an aws.sdk.kotlin.services.sagemaker.model.DataProcessing inside the given block
construct an aws.sdk.kotlin.services.sagemaker.model.ExperimentConfig inside the given block
construct an aws.sdk.kotlin.services.sagemaker.model.ModelClientConfig inside the given block
construct an aws.sdk.kotlin.services.sagemaker.model.TransformInput inside the given block
construct an aws.sdk.kotlin.services.sagemaker.model.TransformOutput inside the given block
construct an aws.sdk.kotlin.services.sagemaker.model.TransformResources inside the given block