sagemaker/aws.sdk.kotlin.services.sagemaker.model/AutoMlJobChannel/Builder

Builder

Properties

The type of channel. Defines whether the data are used for training or validation. The default value is training. Channels for training and validation must share the same ContentType

compressionType

var compressionType: CompressionType?

The allowed compression types depend on the input format and problem type. We allow the compression type Gzip for S3Prefix inputs on tabular data only. For all other inputs, the compression type should be None. If no compression type is provided, we default to None.

contentType

var contentType: String?

The content type of the data from the input source. The following are the allowed content types for different problems:

dataSource

var dataSource: AutoMlDataSource?

The data source for an AutoML channel (Required).

Functions

dataSource

fun dataSource(block: AutoMlDataSource.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.AutoMlDataSource inside the given block