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

Builder

class Builder

Properties

candidateGenerationConfig

var candidateGenerationConfig: AutoMlCandidateGenerationConfig?

The configuration for generating a candidate for an AutoML job (optional).

completionCriteria

var completionCriteria: AutoMlJobCompletionCriteria?

How long an AutoML job is allowed to run, or how many candidates a job is allowed to generate.

dataSplitConfig

var dataSplitConfig: AutoMlDataSplitConfig?

The configuration for splitting the input training dataset.

mode

var mode: AutoMlMode?

The method that Autopilot uses to train the data. You can either specify the mode manually or let Autopilot choose for you based on the dataset size by selecting AUTO. In AUTO mode, Autopilot chooses ENSEMBLING for datasets smaller than 100 MB, and HYPERPARAMETER_TUNING for larger ones.

securityConfig

var securityConfig: AutoMlSecurityConfig?

The security configuration for traffic encryption or Amazon VPC settings.

Functions

candidateGenerationConfig

fun candidateGenerationConfig(block: AutoMlCandidateGenerationConfig.Builder.() -> Unit)

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

completionCriteria

fun completionCriteria(block: AutoMlJobCompletionCriteria.Builder.() -> Unit)

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

dataSplitConfig

fun dataSplitConfig(block: AutoMlDataSplitConfig.Builder.() -> Unit)

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

securityConfig

fun securityConfig(block: AutoMlSecurityConfig.Builder.() -> Unit)

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