io.cloudshiftdev.awscdk.services.sagemaker.CfnInferenceExperimentProps.kt Maven / Gradle / Ivy
@file:Suppress("RedundantVisibilityModifier","RedundantUnitReturnType","RemoveRedundantQualifierName","unused","UnusedImport","ClassName","REDUNDANT_PROJECTION","DEPRECATION")
package io.cloudshiftdev.awscdk.services.sagemaker
import io.cloudshiftdev.awscdk.CfnTag
import io.cloudshiftdev.awscdk.IResolvable
import io.cloudshiftdev.awscdk.common.CdkDslMarker
import io.cloudshiftdev.awscdk.common.CdkObject
import io.cloudshiftdev.awscdk.common.CdkObjectWrappers
import kotlin.Any
import kotlin.String
import kotlin.Unit
import kotlin.collections.List
import kotlin.jvm.JvmName
/**
* Properties for defining a `CfnInferenceExperiment`.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import io.cloudshiftdev.awscdk.services.sagemaker.*;
* CfnInferenceExperimentProps cfnInferenceExperimentProps = CfnInferenceExperimentProps.builder()
* .endpointName("endpointName")
* .modelVariants(List.of(ModelVariantConfigProperty.builder()
* .infrastructureConfig(ModelInfrastructureConfigProperty.builder()
* .infrastructureType("infrastructureType")
* .realTimeInferenceConfig(RealTimeInferenceConfigProperty.builder()
* .instanceCount(123)
* .instanceType("instanceType")
* .build())
* .build())
* .modelName("modelName")
* .variantName("variantName")
* .build()))
* .name("name")
* .roleArn("roleArn")
* .type("type")
* // the properties below are optional
* .dataStorageConfig(DataStorageConfigProperty.builder()
* .destination("destination")
* // the properties below are optional
* .contentType(CaptureContentTypeHeaderProperty.builder()
* .csvContentTypes(List.of("csvContentTypes"))
* .jsonContentTypes(List.of("jsonContentTypes"))
* .build())
* .kmsKey("kmsKey")
* .build())
* .description("description")
* .desiredState("desiredState")
* .kmsKey("kmsKey")
* .schedule(InferenceExperimentScheduleProperty.builder()
* .endTime("endTime")
* .startTime("startTime")
* .build())
* .shadowModeConfig(ShadowModeConfigProperty.builder()
* .shadowModelVariants(List.of(ShadowModelVariantConfigProperty.builder()
* .samplingPercentage(123)
* .shadowModelVariantName("shadowModelVariantName")
* .build()))
* .sourceModelVariantName("sourceModelVariantName")
* .build())
* .statusReason("statusReason")
* .tags(List.of(CfnTag.builder()
* .key("key")
* .value("value")
* .build()))
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-inferenceexperiment.html)
*/
public interface CfnInferenceExperimentProps {
/**
* The Amazon S3 location and configuration for storing inference request and response data.
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-inferenceexperiment.html#cfn-sagemaker-inferenceexperiment-datastorageconfig)
*/
public fun dataStorageConfig(): Any? = unwrap(this).getDataStorageConfig()
/**
* The description of the inference experiment.
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-inferenceexperiment.html#cfn-sagemaker-inferenceexperiment-description)
*/
public fun description(): String? = unwrap(this).getDescription()
/**
* The desired state of the experiment after stopping. The possible states are the following:.
*
* * `Completed` : The experiment completed successfully
* * `Cancelled` : The experiment was canceled
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-inferenceexperiment.html#cfn-sagemaker-inferenceexperiment-desiredstate)
*/
public fun desiredState(): String? = unwrap(this).getDesiredState()
/**
* The name of the endpoint.
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-inferenceexperiment.html#cfn-sagemaker-inferenceexperiment-endpointname)
*/
public fun endpointName(): String
/**
* The AWS Key Management Service key that Amazon SageMaker uses to encrypt captured data at rest
* using Amazon S3 server-side encryption.
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-inferenceexperiment.html#cfn-sagemaker-inferenceexperiment-kmskey)
*/
public fun kmsKey(): String? = unwrap(this).getKmsKey()
/**
* An array of `ModelVariantConfigSummary` objects.
*
* There is one for each variant in the inference experiment. Each `ModelVariantConfigSummary`
* object in the array describes the infrastructure configuration for deploying the corresponding
* variant.
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-inferenceexperiment.html#cfn-sagemaker-inferenceexperiment-modelvariants)
*/
public fun modelVariants(): Any
/**
* The name of the inference experiment.
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-inferenceexperiment.html#cfn-sagemaker-inferenceexperiment-name)
*/
public fun name(): String
/**
* The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and
* container images, and manage Amazon SageMaker Inference endpoints for model deployment.
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-inferenceexperiment.html#cfn-sagemaker-inferenceexperiment-rolearn)
*/
public fun roleArn(): String
/**
* The duration for which the inference experiment ran or will run.
*
* The maximum duration that you can set for an inference experiment is 30 days.
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-inferenceexperiment.html#cfn-sagemaker-inferenceexperiment-schedule)
*/
public fun schedule(): Any? = unwrap(this).getSchedule()
/**
* The configuration of `ShadowMode` inference experiment type, which shows the production variant
* that takes all the inference requests, and the shadow variant to which Amazon SageMaker replicates
* a percentage of the inference requests.
*
* For the shadow variant it also shows the percentage of requests that Amazon SageMaker
* replicates.
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-inferenceexperiment.html#cfn-sagemaker-inferenceexperiment-shadowmodeconfig)
*/
public fun shadowModeConfig(): Any? = unwrap(this).getShadowModeConfig()
/**
* The error message for the inference experiment status result.
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-inferenceexperiment.html#cfn-sagemaker-inferenceexperiment-statusreason)
*/
public fun statusReason(): String? = unwrap(this).getStatusReason()
/**
* An array of key-value pairs to apply to this resource.
*
* For more information, see
* [Tag](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-resource-tags.html)
* .
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-inferenceexperiment.html#cfn-sagemaker-inferenceexperiment-tags)
*/
public fun tags(): List = unwrap(this).getTags()?.map(CfnTag::wrap) ?: emptyList()
/**
* The type of the inference experiment.
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-inferenceexperiment.html#cfn-sagemaker-inferenceexperiment-type)
*/
public fun type(): String
/**
* A builder for [CfnInferenceExperimentProps]
*/
@CdkDslMarker
public interface Builder {
/**
* @param dataStorageConfig The Amazon S3 location and configuration for storing inference
* request and response data.
*/
public fun dataStorageConfig(dataStorageConfig: IResolvable)
/**
* @param dataStorageConfig The Amazon S3 location and configuration for storing inference
* request and response data.
*/
public
fun dataStorageConfig(dataStorageConfig: CfnInferenceExperiment.DataStorageConfigProperty)
/**
* @param dataStorageConfig The Amazon S3 location and configuration for storing inference
* request and response data.
*/
@kotlin.Suppress("INAPPLICABLE_JVM_NAME")
@JvmName("230de13e9a1326e3c3c66b31ad41473b32f19c7f6ad5768f3a53b6aa39ec0d55")
public
fun dataStorageConfig(dataStorageConfig: CfnInferenceExperiment.DataStorageConfigProperty.Builder.() -> Unit)
/**
* @param description The description of the inference experiment.
*/
public fun description(description: String)
/**
* @param desiredState The desired state of the experiment after stopping. The possible states
* are the following:.
* * `Completed` : The experiment completed successfully
* * `Cancelled` : The experiment was canceled
*/
public fun desiredState(desiredState: String)
/**
* @param endpointName The name of the endpoint.
*/
public fun endpointName(endpointName: String)
/**
* @param kmsKey The AWS Key Management Service key that Amazon SageMaker uses to encrypt
* captured data at rest using Amazon S3 server-side encryption.
*/
public fun kmsKey(kmsKey: String)
/**
* @param modelVariants An array of `ModelVariantConfigSummary` objects.
* There is one for each variant in the inference experiment. Each `ModelVariantConfigSummary`
* object in the array describes the infrastructure configuration for deploying the corresponding
* variant.
*/
public fun modelVariants(modelVariants: IResolvable)
/**
* @param modelVariants An array of `ModelVariantConfigSummary` objects.
* There is one for each variant in the inference experiment. Each `ModelVariantConfigSummary`
* object in the array describes the infrastructure configuration for deploying the corresponding
* variant.
*/
public fun modelVariants(modelVariants: List)
/**
* @param modelVariants An array of `ModelVariantConfigSummary` objects.
* There is one for each variant in the inference experiment. Each `ModelVariantConfigSummary`
* object in the array describes the infrastructure configuration for deploying the corresponding
* variant.
*/
public fun modelVariants(vararg modelVariants: Any)
/**
* @param name The name of the inference experiment.
*/
public fun name(name: String)
/**
* @param roleArn The ARN of the IAM role that Amazon SageMaker can assume to access model
* artifacts and container images, and manage Amazon SageMaker Inference endpoints for model
* deployment.
*/
public fun roleArn(roleArn: String)
/**
* @param schedule The duration for which the inference experiment ran or will run.
* The maximum duration that you can set for an inference experiment is 30 days.
*/
public fun schedule(schedule: IResolvable)
/**
* @param schedule The duration for which the inference experiment ran or will run.
* The maximum duration that you can set for an inference experiment is 30 days.
*/
public fun schedule(schedule: CfnInferenceExperiment.InferenceExperimentScheduleProperty)
/**
* @param schedule The duration for which the inference experiment ran or will run.
* The maximum duration that you can set for an inference experiment is 30 days.
*/
@kotlin.Suppress("INAPPLICABLE_JVM_NAME")
@JvmName("e096285ae42483363fa6d87de9717d6cd427622fa505d51be7713b8161daecad")
public
fun schedule(schedule: CfnInferenceExperiment.InferenceExperimentScheduleProperty.Builder.() -> Unit)
/**
* @param shadowModeConfig The configuration of `ShadowMode` inference experiment type, which
* shows the production variant that takes all the inference requests, and the shadow variant to
* which Amazon SageMaker replicates a percentage of the inference requests.
* For the shadow variant it also shows the percentage of requests that Amazon SageMaker
* replicates.
*/
public fun shadowModeConfig(shadowModeConfig: IResolvable)
/**
* @param shadowModeConfig The configuration of `ShadowMode` inference experiment type, which
* shows the production variant that takes all the inference requests, and the shadow variant to
* which Amazon SageMaker replicates a percentage of the inference requests.
* For the shadow variant it also shows the percentage of requests that Amazon SageMaker
* replicates.
*/
public fun shadowModeConfig(shadowModeConfig: CfnInferenceExperiment.ShadowModeConfigProperty)
/**
* @param shadowModeConfig The configuration of `ShadowMode` inference experiment type, which
* shows the production variant that takes all the inference requests, and the shadow variant to
* which Amazon SageMaker replicates a percentage of the inference requests.
* For the shadow variant it also shows the percentage of requests that Amazon SageMaker
* replicates.
*/
@kotlin.Suppress("INAPPLICABLE_JVM_NAME")
@JvmName("60d6081dbb5198770f8528460e240bd952c1cd9291f29d6271d7e138c9da1af6")
public
fun shadowModeConfig(shadowModeConfig: CfnInferenceExperiment.ShadowModeConfigProperty.Builder.() -> Unit)
/**
* @param statusReason The error message for the inference experiment status result.
*/
public fun statusReason(statusReason: String)
/**
* @param tags An array of key-value pairs to apply to this resource.
* For more information, see
* [Tag](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-resource-tags.html)
* .
*/
public fun tags(tags: List)
/**
* @param tags An array of key-value pairs to apply to this resource.
* For more information, see
* [Tag](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-resource-tags.html)
* .
*/
public fun tags(vararg tags: CfnTag)
/**
* @param type The type of the inference experiment.
*/
public fun type(type: String)
}
private class BuilderImpl : Builder {
private val cdkBuilder:
software.amazon.awscdk.services.sagemaker.CfnInferenceExperimentProps.Builder =
software.amazon.awscdk.services.sagemaker.CfnInferenceExperimentProps.builder()
/**
* @param dataStorageConfig The Amazon S3 location and configuration for storing inference
* request and response data.
*/
override fun dataStorageConfig(dataStorageConfig: IResolvable) {
cdkBuilder.dataStorageConfig(dataStorageConfig.let(IResolvable.Companion::unwrap))
}
/**
* @param dataStorageConfig The Amazon S3 location and configuration for storing inference
* request and response data.
*/
override
fun dataStorageConfig(dataStorageConfig: CfnInferenceExperiment.DataStorageConfigProperty) {
cdkBuilder.dataStorageConfig(dataStorageConfig.let(CfnInferenceExperiment.DataStorageConfigProperty.Companion::unwrap))
}
/**
* @param dataStorageConfig The Amazon S3 location and configuration for storing inference
* request and response data.
*/
@kotlin.Suppress("INAPPLICABLE_JVM_NAME")
@JvmName("230de13e9a1326e3c3c66b31ad41473b32f19c7f6ad5768f3a53b6aa39ec0d55")
override
fun dataStorageConfig(dataStorageConfig: CfnInferenceExperiment.DataStorageConfigProperty.Builder.() -> Unit):
Unit =
dataStorageConfig(CfnInferenceExperiment.DataStorageConfigProperty(dataStorageConfig))
/**
* @param description The description of the inference experiment.
*/
override fun description(description: String) {
cdkBuilder.description(description)
}
/**
* @param desiredState The desired state of the experiment after stopping. The possible states
* are the following:.
* * `Completed` : The experiment completed successfully
* * `Cancelled` : The experiment was canceled
*/
override fun desiredState(desiredState: String) {
cdkBuilder.desiredState(desiredState)
}
/**
* @param endpointName The name of the endpoint.
*/
override fun endpointName(endpointName: String) {
cdkBuilder.endpointName(endpointName)
}
/**
* @param kmsKey The AWS Key Management Service key that Amazon SageMaker uses to encrypt
* captured data at rest using Amazon S3 server-side encryption.
*/
override fun kmsKey(kmsKey: String) {
cdkBuilder.kmsKey(kmsKey)
}
/**
* @param modelVariants An array of `ModelVariantConfigSummary` objects.
* There is one for each variant in the inference experiment. Each `ModelVariantConfigSummary`
* object in the array describes the infrastructure configuration for deploying the corresponding
* variant.
*/
override fun modelVariants(modelVariants: IResolvable) {
cdkBuilder.modelVariants(modelVariants.let(IResolvable.Companion::unwrap))
}
/**
* @param modelVariants An array of `ModelVariantConfigSummary` objects.
* There is one for each variant in the inference experiment. Each `ModelVariantConfigSummary`
* object in the array describes the infrastructure configuration for deploying the corresponding
* variant.
*/
override fun modelVariants(modelVariants: List) {
cdkBuilder.modelVariants(modelVariants.map{CdkObjectWrappers.unwrap(it)})
}
/**
* @param modelVariants An array of `ModelVariantConfigSummary` objects.
* There is one for each variant in the inference experiment. Each `ModelVariantConfigSummary`
* object in the array describes the infrastructure configuration for deploying the corresponding
* variant.
*/
override fun modelVariants(vararg modelVariants: Any): Unit =
modelVariants(modelVariants.toList())
/**
* @param name The name of the inference experiment.
*/
override fun name(name: String) {
cdkBuilder.name(name)
}
/**
* @param roleArn The ARN of the IAM role that Amazon SageMaker can assume to access model
* artifacts and container images, and manage Amazon SageMaker Inference endpoints for model
* deployment.
*/
override fun roleArn(roleArn: String) {
cdkBuilder.roleArn(roleArn)
}
/**
* @param schedule The duration for which the inference experiment ran or will run.
* The maximum duration that you can set for an inference experiment is 30 days.
*/
override fun schedule(schedule: IResolvable) {
cdkBuilder.schedule(schedule.let(IResolvable.Companion::unwrap))
}
/**
* @param schedule The duration for which the inference experiment ran or will run.
* The maximum duration that you can set for an inference experiment is 30 days.
*/
override fun schedule(schedule: CfnInferenceExperiment.InferenceExperimentScheduleProperty) {
cdkBuilder.schedule(schedule.let(CfnInferenceExperiment.InferenceExperimentScheduleProperty.Companion::unwrap))
}
/**
* @param schedule The duration for which the inference experiment ran or will run.
* The maximum duration that you can set for an inference experiment is 30 days.
*/
@kotlin.Suppress("INAPPLICABLE_JVM_NAME")
@JvmName("e096285ae42483363fa6d87de9717d6cd427622fa505d51be7713b8161daecad")
override
fun schedule(schedule: CfnInferenceExperiment.InferenceExperimentScheduleProperty.Builder.() -> Unit):
Unit = schedule(CfnInferenceExperiment.InferenceExperimentScheduleProperty(schedule))
/**
* @param shadowModeConfig The configuration of `ShadowMode` inference experiment type, which
* shows the production variant that takes all the inference requests, and the shadow variant to
* which Amazon SageMaker replicates a percentage of the inference requests.
* For the shadow variant it also shows the percentage of requests that Amazon SageMaker
* replicates.
*/
override fun shadowModeConfig(shadowModeConfig: IResolvable) {
cdkBuilder.shadowModeConfig(shadowModeConfig.let(IResolvable.Companion::unwrap))
}
/**
* @param shadowModeConfig The configuration of `ShadowMode` inference experiment type, which
* shows the production variant that takes all the inference requests, and the shadow variant to
* which Amazon SageMaker replicates a percentage of the inference requests.
* For the shadow variant it also shows the percentage of requests that Amazon SageMaker
* replicates.
*/
override
fun shadowModeConfig(shadowModeConfig: CfnInferenceExperiment.ShadowModeConfigProperty) {
cdkBuilder.shadowModeConfig(shadowModeConfig.let(CfnInferenceExperiment.ShadowModeConfigProperty.Companion::unwrap))
}
/**
* @param shadowModeConfig The configuration of `ShadowMode` inference experiment type, which
* shows the production variant that takes all the inference requests, and the shadow variant to
* which Amazon SageMaker replicates a percentage of the inference requests.
* For the shadow variant it also shows the percentage of requests that Amazon SageMaker
* replicates.
*/
@kotlin.Suppress("INAPPLICABLE_JVM_NAME")
@JvmName("60d6081dbb5198770f8528460e240bd952c1cd9291f29d6271d7e138c9da1af6")
override
fun shadowModeConfig(shadowModeConfig: CfnInferenceExperiment.ShadowModeConfigProperty.Builder.() -> Unit):
Unit = shadowModeConfig(CfnInferenceExperiment.ShadowModeConfigProperty(shadowModeConfig))
/**
* @param statusReason The error message for the inference experiment status result.
*/
override fun statusReason(statusReason: String) {
cdkBuilder.statusReason(statusReason)
}
/**
* @param tags An array of key-value pairs to apply to this resource.
* For more information, see
* [Tag](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-resource-tags.html)
* .
*/
override fun tags(tags: List) {
cdkBuilder.tags(tags.map(CfnTag.Companion::unwrap))
}
/**
* @param tags An array of key-value pairs to apply to this resource.
* For more information, see
* [Tag](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-resource-tags.html)
* .
*/
override fun tags(vararg tags: CfnTag): Unit = tags(tags.toList())
/**
* @param type The type of the inference experiment.
*/
override fun type(type: String) {
cdkBuilder.type(type)
}
public fun build(): software.amazon.awscdk.services.sagemaker.CfnInferenceExperimentProps =
cdkBuilder.build()
}
private class Wrapper(
cdkObject: software.amazon.awscdk.services.sagemaker.CfnInferenceExperimentProps,
) : CdkObject(cdkObject),
CfnInferenceExperimentProps {
/**
* The Amazon S3 location and configuration for storing inference request and response data.
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-inferenceexperiment.html#cfn-sagemaker-inferenceexperiment-datastorageconfig)
*/
override fun dataStorageConfig(): Any? = unwrap(this).getDataStorageConfig()
/**
* The description of the inference experiment.
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-inferenceexperiment.html#cfn-sagemaker-inferenceexperiment-description)
*/
override fun description(): String? = unwrap(this).getDescription()
/**
* The desired state of the experiment after stopping. The possible states are the following:.
*
* * `Completed` : The experiment completed successfully
* * `Cancelled` : The experiment was canceled
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-inferenceexperiment.html#cfn-sagemaker-inferenceexperiment-desiredstate)
*/
override fun desiredState(): String? = unwrap(this).getDesiredState()
/**
* The name of the endpoint.
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-inferenceexperiment.html#cfn-sagemaker-inferenceexperiment-endpointname)
*/
override fun endpointName(): String = unwrap(this).getEndpointName()
/**
* The AWS Key Management Service key that Amazon SageMaker uses to encrypt captured data at
* rest using Amazon S3 server-side encryption.
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-inferenceexperiment.html#cfn-sagemaker-inferenceexperiment-kmskey)
*/
override fun kmsKey(): String? = unwrap(this).getKmsKey()
/**
* An array of `ModelVariantConfigSummary` objects.
*
* There is one for each variant in the inference experiment. Each `ModelVariantConfigSummary`
* object in the array describes the infrastructure configuration for deploying the corresponding
* variant.
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-inferenceexperiment.html#cfn-sagemaker-inferenceexperiment-modelvariants)
*/
override fun modelVariants(): Any = unwrap(this).getModelVariants()
/**
* The name of the inference experiment.
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-inferenceexperiment.html#cfn-sagemaker-inferenceexperiment-name)
*/
override fun name(): String = unwrap(this).getName()
/**
* The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and
* container images, and manage Amazon SageMaker Inference endpoints for model deployment.
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-inferenceexperiment.html#cfn-sagemaker-inferenceexperiment-rolearn)
*/
override fun roleArn(): String = unwrap(this).getRoleArn()
/**
* The duration for which the inference experiment ran or will run.
*
* The maximum duration that you can set for an inference experiment is 30 days.
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-inferenceexperiment.html#cfn-sagemaker-inferenceexperiment-schedule)
*/
override fun schedule(): Any? = unwrap(this).getSchedule()
/**
* The configuration of `ShadowMode` inference experiment type, which shows the production
* variant that takes all the inference requests, and the shadow variant to which Amazon SageMaker
* replicates a percentage of the inference requests.
*
* For the shadow variant it also shows the percentage of requests that Amazon SageMaker
* replicates.
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-inferenceexperiment.html#cfn-sagemaker-inferenceexperiment-shadowmodeconfig)
*/
override fun shadowModeConfig(): Any? = unwrap(this).getShadowModeConfig()
/**
* The error message for the inference experiment status result.
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-inferenceexperiment.html#cfn-sagemaker-inferenceexperiment-statusreason)
*/
override fun statusReason(): String? = unwrap(this).getStatusReason()
/**
* An array of key-value pairs to apply to this resource.
*
* For more information, see
* [Tag](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-resource-tags.html)
* .
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-inferenceexperiment.html#cfn-sagemaker-inferenceexperiment-tags)
*/
override fun tags(): List = unwrap(this).getTags()?.map(CfnTag::wrap) ?: emptyList()
/**
* The type of the inference experiment.
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-inferenceexperiment.html#cfn-sagemaker-inferenceexperiment-type)
*/
override fun type(): String = unwrap(this).getType()
}
public companion object {
public operator fun invoke(block: Builder.() -> Unit = {}): CfnInferenceExperimentProps {
val builderImpl = BuilderImpl()
return Wrapper(builderImpl.apply(block).build())
}
internal
fun wrap(cdkObject: software.amazon.awscdk.services.sagemaker.CfnInferenceExperimentProps):
CfnInferenceExperimentProps = CdkObjectWrappers.wrap(cdkObject) as?
CfnInferenceExperimentProps ?: Wrapper(cdkObject)
internal fun unwrap(wrapped: CfnInferenceExperimentProps):
software.amazon.awscdk.services.sagemaker.CfnInferenceExperimentProps = (wrapped as
CdkObject).cdkObject as
software.amazon.awscdk.services.sagemaker.CfnInferenceExperimentProps
}
}
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