aws.sdk.kotlin.services.sagemaker.model.CreateInferenceRecommendationsJobRequest.kt Maven / Gradle / Ivy
// Code generated by smithy-kotlin-codegen. DO NOT EDIT!
package aws.sdk.kotlin.services.sagemaker.model
class CreateInferenceRecommendationsJobRequest private constructor(builder: Builder) {
/**
* Provides information about the versioned model package Amazon Resource Name (ARN),
* the traffic pattern, and endpoint configurations.
*/
val inputConfig: aws.sdk.kotlin.services.sagemaker.model.RecommendationJobInputConfig? = builder.inputConfig
/**
* Description of the recommendation job.
*/
val jobDescription: kotlin.String? = builder.jobDescription
/**
* A name for the recommendation job. The name must be unique within
* the Amazon Web Services Region and within your Amazon Web Services account.
*/
val jobName: kotlin.String? = builder.jobName
/**
* Defines the type of recommendation job. Specify Default to initiate an instance
* recommendation and Advanced to initiate a load test. If left unspecified,
* Amazon SageMaker Inference Recommender will run an instance recommendation (DEFAULT) job.
*/
val jobType: aws.sdk.kotlin.services.sagemaker.model.RecommendationJobType? = builder.jobType
/**
* The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker
* to perform tasks on your behalf.
*/
val roleArn: kotlin.String? = builder.roleArn
/**
* A set of conditions for stopping a recommendation job. If any of
* the conditions are met, the job is automatically stopped.
*/
val stoppingConditions: aws.sdk.kotlin.services.sagemaker.model.RecommendationJobStoppingConditions? = builder.stoppingConditions
/**
* The metadata that you apply to Amazon Web Services resources to help you
* categorize and organize them. Each tag consists of a key and a value, both of
* which you define. For more information, see
* Tagging Amazon Web Services Resources
* in the Amazon Web Services General Reference.
*/
val tags: List? = builder.tags
companion object {
operator fun invoke(block: Builder.() -> kotlin.Unit): aws.sdk.kotlin.services.sagemaker.model.CreateInferenceRecommendationsJobRequest = Builder().apply(block).build()
}
override fun toString(): kotlin.String = buildString {
append("CreateInferenceRecommendationsJobRequest(")
append("inputConfig=$inputConfig,")
append("jobDescription=$jobDescription,")
append("jobName=$jobName,")
append("jobType=$jobType,")
append("roleArn=$roleArn,")
append("stoppingConditions=$stoppingConditions,")
append("tags=$tags)")
}
override fun hashCode(): kotlin.Int {
var result = inputConfig?.hashCode() ?: 0
result = 31 * result + (jobDescription?.hashCode() ?: 0)
result = 31 * result + (jobName?.hashCode() ?: 0)
result = 31 * result + (jobType?.hashCode() ?: 0)
result = 31 * result + (roleArn?.hashCode() ?: 0)
result = 31 * result + (stoppingConditions?.hashCode() ?: 0)
result = 31 * result + (tags?.hashCode() ?: 0)
return result
}
override fun equals(other: kotlin.Any?): kotlin.Boolean {
if (this === other) return true
if (other == null || this::class != other::class) return false
other as CreateInferenceRecommendationsJobRequest
if (inputConfig != other.inputConfig) return false
if (jobDescription != other.jobDescription) return false
if (jobName != other.jobName) return false
if (jobType != other.jobType) return false
if (roleArn != other.roleArn) return false
if (stoppingConditions != other.stoppingConditions) return false
if (tags != other.tags) return false
return true
}
inline fun copy(block: Builder.() -> kotlin.Unit = {}): aws.sdk.kotlin.services.sagemaker.model.CreateInferenceRecommendationsJobRequest = Builder(this).apply(block).build()
class Builder {
/**
* Provides information about the versioned model package Amazon Resource Name (ARN),
* the traffic pattern, and endpoint configurations.
*/
var inputConfig: aws.sdk.kotlin.services.sagemaker.model.RecommendationJobInputConfig? = null
/**
* Description of the recommendation job.
*/
var jobDescription: kotlin.String? = null
/**
* A name for the recommendation job. The name must be unique within
* the Amazon Web Services Region and within your Amazon Web Services account.
*/
var jobName: kotlin.String? = null
/**
* Defines the type of recommendation job. Specify Default to initiate an instance
* recommendation and Advanced to initiate a load test. If left unspecified,
* Amazon SageMaker Inference Recommender will run an instance recommendation (DEFAULT) job.
*/
var jobType: aws.sdk.kotlin.services.sagemaker.model.RecommendationJobType? = null
/**
* The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker
* to perform tasks on your behalf.
*/
var roleArn: kotlin.String? = null
/**
* A set of conditions for stopping a recommendation job. If any of
* the conditions are met, the job is automatically stopped.
*/
var stoppingConditions: aws.sdk.kotlin.services.sagemaker.model.RecommendationJobStoppingConditions? = null
/**
* The metadata that you apply to Amazon Web Services resources to help you
* categorize and organize them. Each tag consists of a key and a value, both of
* which you define. For more information, see
* Tagging Amazon Web Services Resources
* in the Amazon Web Services General Reference.
*/
var tags: List? = null
internal constructor()
@PublishedApi
internal constructor(x: aws.sdk.kotlin.services.sagemaker.model.CreateInferenceRecommendationsJobRequest) : this() {
this.inputConfig = x.inputConfig
this.jobDescription = x.jobDescription
this.jobName = x.jobName
this.jobType = x.jobType
this.roleArn = x.roleArn
this.stoppingConditions = x.stoppingConditions
this.tags = x.tags
}
@PublishedApi
internal fun build(): aws.sdk.kotlin.services.sagemaker.model.CreateInferenceRecommendationsJobRequest = CreateInferenceRecommendationsJobRequest(this)
/**
* construct an [aws.sdk.kotlin.services.sagemaker.model.RecommendationJobInputConfig] inside the given [block]
*/
fun inputConfig(block: aws.sdk.kotlin.services.sagemaker.model.RecommendationJobInputConfig.Builder.() -> kotlin.Unit) {
this.inputConfig = aws.sdk.kotlin.services.sagemaker.model.RecommendationJobInputConfig.invoke(block)
}
/**
* construct an [aws.sdk.kotlin.services.sagemaker.model.RecommendationJobStoppingConditions] inside the given [block]
*/
fun stoppingConditions(block: aws.sdk.kotlin.services.sagemaker.model.RecommendationJobStoppingConditions.Builder.() -> kotlin.Unit) {
this.stoppingConditions = aws.sdk.kotlin.services.sagemaker.model.RecommendationJobStoppingConditions.invoke(block)
}
}
}
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