sagemaker/aws.sdk.kotlin.services.sagemaker.model/CreateAutoMlJobV2Request/Builder

Builder

Properties

var autoMlComputeConfig: AutoMlComputeConfig?

Specifies the compute configuration for the AutoML job V2.

var autoMlJobInputDataConfig: List<AutoMlJobChannel>?

An array of channel objects describing the input data and their location. Each channel is a named input source. Similar to the InputDataConfig attribute in the CreateAutoMLJob input parameters. The supported formats depend on the problem type:

autoMlJobName

var autoMlJobName: String?

Identifies an Autopilot job. The name must be unique to your account and is case insensitive.

autoMlJobObjective

var autoMlJobObjective: AutoMlJobObjective?

Specifies a metric to minimize or maximize as the objective of a job. If not specified, the default objective metric depends on the problem type. For the list of default values per problem type, see AutoMLJobObjective.

autoMlProblemTypeConfig

var autoMlProblemTypeConfig: AutoMlProblemTypeConfig?

Defines the configuration settings of one of the supported problem types.

dataSplitConfig

var dataSplitConfig: AutoMlDataSplitConfig?

This structure specifies how to split the data into train and validation datasets.

modelDeployConfig

var modelDeployConfig: ModelDeployConfig?

Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.

outputDataConfig

var outputDataConfig: AutoMlOutputDataConfig?

Provides information about encryption and the Amazon S3 output path needed to store artifacts from an AutoML job.