Builder
Properties
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.
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. Don't include any sensitive data in your environment variables. 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:
The maximum number of parallel requests that can be sent to each instance in a transform job. If MaxConcurrentTransforms
is set to 0
or left unset, Amazon SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1
. For more information on execution-parameters, see How Containers Serve Requests. For built-in algorithms, you don't need to set a value for MaxConcurrentTransforms
.
The maximum allowed size of the payload, in MB. A payload is the data portion of a record (without metadata). The value in MaxPayloadInMB
must be greater than, or equal to, the size of a single record. To estimate the size of a record in MB, divide the size of your dataset by the number of records. To ensure that the records fit within the maximum payload size, we recommend using a slightly larger value. The default value is 6
MB.
Configures the timeout and maximum number of retries for processing a transform job invocation.
(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
Describes the input source and the way the transform job consumes it.
The name of the transform job. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account.
Describes the results of the transform job.
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
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