/** * Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. * SPDX-License-Identifier: Apache-2.0. */ #pragma once #include #include #include #include #include #include #include #include #include #include #include #include namespace Aws { template class AmazonWebServiceResult; namespace Utils { namespace Json { class JsonValue; } // namespace Json } // namespace Utils namespace SageMaker { namespace Model { class DescribeInferenceExperimentResult { public: AWS_SAGEMAKER_API DescribeInferenceExperimentResult(); AWS_SAGEMAKER_API DescribeInferenceExperimentResult(const Aws::AmazonWebServiceResult& result); AWS_SAGEMAKER_API DescribeInferenceExperimentResult& operator=(const Aws::AmazonWebServiceResult& result); /** *

The ARN of the inference experiment being described.

*/ inline const Aws::String& GetArn() const{ return m_arn; } /** *

The ARN of the inference experiment being described.

*/ inline void SetArn(const Aws::String& value) { m_arn = value; } /** *

The ARN of the inference experiment being described.

*/ inline void SetArn(Aws::String&& value) { m_arn = std::move(value); } /** *

The ARN of the inference experiment being described.

*/ inline void SetArn(const char* value) { m_arn.assign(value); } /** *

The ARN of the inference experiment being described.

*/ inline DescribeInferenceExperimentResult& WithArn(const Aws::String& value) { SetArn(value); return *this;} /** *

The ARN of the inference experiment being described.

*/ inline DescribeInferenceExperimentResult& WithArn(Aws::String&& value) { SetArn(std::move(value)); return *this;} /** *

The ARN of the inference experiment being described.

*/ inline DescribeInferenceExperimentResult& WithArn(const char* value) { SetArn(value); return *this;} /** *

The name of the inference experiment.

*/ inline const Aws::String& GetName() const{ return m_name; } /** *

The name of the inference experiment.

*/ inline void SetName(const Aws::String& value) { m_name = value; } /** *

The name of the inference experiment.

*/ inline void SetName(Aws::String&& value) { m_name = std::move(value); } /** *

The name of the inference experiment.

*/ inline void SetName(const char* value) { m_name.assign(value); } /** *

The name of the inference experiment.

*/ inline DescribeInferenceExperimentResult& WithName(const Aws::String& value) { SetName(value); return *this;} /** *

The name of the inference experiment.

*/ inline DescribeInferenceExperimentResult& WithName(Aws::String&& value) { SetName(std::move(value)); return *this;} /** *

The name of the inference experiment.

*/ inline DescribeInferenceExperimentResult& WithName(const char* value) { SetName(value); return *this;} /** *

The type of the inference experiment.

*/ inline const InferenceExperimentType& GetType() const{ return m_type; } /** *

The type of the inference experiment.

*/ inline void SetType(const InferenceExperimentType& value) { m_type = value; } /** *

The type of the inference experiment.

*/ inline void SetType(InferenceExperimentType&& value) { m_type = std::move(value); } /** *

The type of the inference experiment.

*/ inline DescribeInferenceExperimentResult& WithType(const InferenceExperimentType& value) { SetType(value); return *this;} /** *

The type of the inference experiment.

*/ inline DescribeInferenceExperimentResult& WithType(InferenceExperimentType&& value) { SetType(std::move(value)); return *this;} /** *

The duration for which the inference experiment ran or will run.

*/ inline const InferenceExperimentSchedule& GetSchedule() const{ return m_schedule; } /** *

The duration for which the inference experiment ran or will run.

*/ inline void SetSchedule(const InferenceExperimentSchedule& value) { m_schedule = value; } /** *

The duration for which the inference experiment ran or will run.

*/ inline void SetSchedule(InferenceExperimentSchedule&& value) { m_schedule = std::move(value); } /** *

The duration for which the inference experiment ran or will run.

*/ inline DescribeInferenceExperimentResult& WithSchedule(const InferenceExperimentSchedule& value) { SetSchedule(value); return *this;} /** *

The duration for which the inference experiment ran or will run.

*/ inline DescribeInferenceExperimentResult& WithSchedule(InferenceExperimentSchedule&& value) { SetSchedule(std::move(value)); return *this;} /** *

The status of the inference experiment. The following are the possible * statuses for an inference experiment:

  • Creating - * Amazon SageMaker is creating your experiment.

  • * Created - Amazon SageMaker has finished the creation of your * experiment and will begin the experiment at the scheduled time.

  • *

    Updating - When you make changes to your experiment, your * experiment shows as updating.

  • Starting - Amazon * SageMaker is beginning your experiment.

  • Running * - Your experiment is in progress.

  • Stopping - * Amazon SageMaker is stopping your experiment.

  • * Completed - Your experiment has completed.

  • * Cancelled - When you conclude your experiment early using the StopInferenceExperiment * API, or if any operation fails with an unexpected error, it shows as cancelled. *

*/ inline const InferenceExperimentStatus& GetStatus() const{ return m_status; } /** *

The status of the inference experiment. The following are the possible * statuses for an inference experiment:

  • Creating - * Amazon SageMaker is creating your experiment.

  • * Created - Amazon SageMaker has finished the creation of your * experiment and will begin the experiment at the scheduled time.

  • *

    Updating - When you make changes to your experiment, your * experiment shows as updating.

  • Starting - Amazon * SageMaker is beginning your experiment.

  • Running * - Your experiment is in progress.

  • Stopping - * Amazon SageMaker is stopping your experiment.

  • * Completed - Your experiment has completed.

  • * Cancelled - When you conclude your experiment early using the StopInferenceExperiment * API, or if any operation fails with an unexpected error, it shows as cancelled. *

*/ inline void SetStatus(const InferenceExperimentStatus& value) { m_status = value; } /** *

The status of the inference experiment. The following are the possible * statuses for an inference experiment:

  • Creating - * Amazon SageMaker is creating your experiment.

  • * Created - Amazon SageMaker has finished the creation of your * experiment and will begin the experiment at the scheduled time.

  • *

    Updating - When you make changes to your experiment, your * experiment shows as updating.

  • Starting - Amazon * SageMaker is beginning your experiment.

  • Running * - Your experiment is in progress.

  • Stopping - * Amazon SageMaker is stopping your experiment.

  • * Completed - Your experiment has completed.

  • * Cancelled - When you conclude your experiment early using the StopInferenceExperiment * API, or if any operation fails with an unexpected error, it shows as cancelled. *

*/ inline void SetStatus(InferenceExperimentStatus&& value) { m_status = std::move(value); } /** *

The status of the inference experiment. The following are the possible * statuses for an inference experiment:

  • Creating - * Amazon SageMaker is creating your experiment.

  • * Created - Amazon SageMaker has finished the creation of your * experiment and will begin the experiment at the scheduled time.

  • *

    Updating - When you make changes to your experiment, your * experiment shows as updating.

  • Starting - Amazon * SageMaker is beginning your experiment.

  • Running * - Your experiment is in progress.

  • Stopping - * Amazon SageMaker is stopping your experiment.

  • * Completed - Your experiment has completed.

  • * Cancelled - When you conclude your experiment early using the StopInferenceExperiment * API, or if any operation fails with an unexpected error, it shows as cancelled. *

*/ inline DescribeInferenceExperimentResult& WithStatus(const InferenceExperimentStatus& value) { SetStatus(value); return *this;} /** *

The status of the inference experiment. The following are the possible * statuses for an inference experiment:

  • Creating - * Amazon SageMaker is creating your experiment.

  • * Created - Amazon SageMaker has finished the creation of your * experiment and will begin the experiment at the scheduled time.

  • *

    Updating - When you make changes to your experiment, your * experiment shows as updating.

  • Starting - Amazon * SageMaker is beginning your experiment.

  • Running * - Your experiment is in progress.

  • Stopping - * Amazon SageMaker is stopping your experiment.

  • * Completed - Your experiment has completed.

  • * Cancelled - When you conclude your experiment early using the StopInferenceExperiment * API, or if any operation fails with an unexpected error, it shows as cancelled. *

*/ inline DescribeInferenceExperimentResult& WithStatus(InferenceExperimentStatus&& value) { SetStatus(std::move(value)); return *this;} /** *

The error message or client-specified Reason from the StopInferenceExperiment * API, that explains the status of the inference experiment.

*/ inline const Aws::String& GetStatusReason() const{ return m_statusReason; } /** *

The error message or client-specified Reason from the StopInferenceExperiment * API, that explains the status of the inference experiment.

*/ inline void SetStatusReason(const Aws::String& value) { m_statusReason = value; } /** *

The error message or client-specified Reason from the StopInferenceExperiment * API, that explains the status of the inference experiment.

*/ inline void SetStatusReason(Aws::String&& value) { m_statusReason = std::move(value); } /** *

The error message or client-specified Reason from the StopInferenceExperiment * API, that explains the status of the inference experiment.

*/ inline void SetStatusReason(const char* value) { m_statusReason.assign(value); } /** *

The error message or client-specified Reason from the StopInferenceExperiment * API, that explains the status of the inference experiment.

*/ inline DescribeInferenceExperimentResult& WithStatusReason(const Aws::String& value) { SetStatusReason(value); return *this;} /** *

The error message or client-specified Reason from the StopInferenceExperiment * API, that explains the status of the inference experiment.

*/ inline DescribeInferenceExperimentResult& WithStatusReason(Aws::String&& value) { SetStatusReason(std::move(value)); return *this;} /** *

The error message or client-specified Reason from the StopInferenceExperiment * API, that explains the status of the inference experiment.

*/ inline DescribeInferenceExperimentResult& WithStatusReason(const char* value) { SetStatusReason(value); return *this;} /** *

The description of the inference experiment.

*/ inline const Aws::String& GetDescription() const{ return m_description; } /** *

The description of the inference experiment.

*/ inline void SetDescription(const Aws::String& value) { m_description = value; } /** *

The description of the inference experiment.

*/ inline void SetDescription(Aws::String&& value) { m_description = std::move(value); } /** *

The description of the inference experiment.

*/ inline void SetDescription(const char* value) { m_description.assign(value); } /** *

The description of the inference experiment.

*/ inline DescribeInferenceExperimentResult& WithDescription(const Aws::String& value) { SetDescription(value); return *this;} /** *

The description of the inference experiment.

*/ inline DescribeInferenceExperimentResult& WithDescription(Aws::String&& value) { SetDescription(std::move(value)); return *this;} /** *

The description of the inference experiment.

*/ inline DescribeInferenceExperimentResult& WithDescription(const char* value) { SetDescription(value); return *this;} /** *

The timestamp at which you created the inference experiment.

*/ inline const Aws::Utils::DateTime& GetCreationTime() const{ return m_creationTime; } /** *

The timestamp at which you created the inference experiment.

*/ inline void SetCreationTime(const Aws::Utils::DateTime& value) { m_creationTime = value; } /** *

The timestamp at which you created the inference experiment.

*/ inline void SetCreationTime(Aws::Utils::DateTime&& value) { m_creationTime = std::move(value); } /** *

The timestamp at which you created the inference experiment.

*/ inline DescribeInferenceExperimentResult& WithCreationTime(const Aws::Utils::DateTime& value) { SetCreationTime(value); return *this;} /** *

The timestamp at which you created the inference experiment.

*/ inline DescribeInferenceExperimentResult& WithCreationTime(Aws::Utils::DateTime&& value) { SetCreationTime(std::move(value)); return *this;} /** *

The timestamp at which the inference experiment was completed.

*/ inline const Aws::Utils::DateTime& GetCompletionTime() const{ return m_completionTime; } /** *

The timestamp at which the inference experiment was completed.

*/ inline void SetCompletionTime(const Aws::Utils::DateTime& value) { m_completionTime = value; } /** *

The timestamp at which the inference experiment was completed.

*/ inline void SetCompletionTime(Aws::Utils::DateTime&& value) { m_completionTime = std::move(value); } /** *

The timestamp at which the inference experiment was completed.

*/ inline DescribeInferenceExperimentResult& WithCompletionTime(const Aws::Utils::DateTime& value) { SetCompletionTime(value); return *this;} /** *

The timestamp at which the inference experiment was completed.

*/ inline DescribeInferenceExperimentResult& WithCompletionTime(Aws::Utils::DateTime&& value) { SetCompletionTime(std::move(value)); return *this;} /** *

The timestamp at which you last modified the inference experiment.

*/ inline const Aws::Utils::DateTime& GetLastModifiedTime() const{ return m_lastModifiedTime; } /** *

The timestamp at which you last modified the inference experiment.

*/ inline void SetLastModifiedTime(const Aws::Utils::DateTime& value) { m_lastModifiedTime = value; } /** *

The timestamp at which you last modified the inference experiment.

*/ inline void SetLastModifiedTime(Aws::Utils::DateTime&& value) { m_lastModifiedTime = std::move(value); } /** *

The timestamp at which you last modified the inference experiment.

*/ inline DescribeInferenceExperimentResult& WithLastModifiedTime(const Aws::Utils::DateTime& value) { SetLastModifiedTime(value); return *this;} /** *

The timestamp at which you last modified the inference experiment.

*/ inline DescribeInferenceExperimentResult& WithLastModifiedTime(Aws::Utils::DateTime&& value) { SetLastModifiedTime(std::move(value)); return *this;} /** *

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.

*/ inline const Aws::String& GetRoleArn() const{ return m_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.

*/ inline void SetRoleArn(const Aws::String& value) { m_roleArn = value; } /** *

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.

*/ inline void SetRoleArn(Aws::String&& value) { m_roleArn = std::move(value); } /** *

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.

*/ inline void SetRoleArn(const char* value) { m_roleArn.assign(value); } /** *

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.

*/ inline DescribeInferenceExperimentResult& WithRoleArn(const Aws::String& value) { SetRoleArn(value); return *this;} /** *

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.

*/ inline DescribeInferenceExperimentResult& WithRoleArn(Aws::String&& value) { SetRoleArn(std::move(value)); return *this;} /** *

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.

*/ inline DescribeInferenceExperimentResult& WithRoleArn(const char* value) { SetRoleArn(value); return *this;} /** *

The metadata of the endpoint on which the inference experiment ran.

*/ inline const EndpointMetadata& GetEndpointMetadata() const{ return m_endpointMetadata; } /** *

The metadata of the endpoint on which the inference experiment ran.

*/ inline void SetEndpointMetadata(const EndpointMetadata& value) { m_endpointMetadata = value; } /** *

The metadata of the endpoint on which the inference experiment ran.

*/ inline void SetEndpointMetadata(EndpointMetadata&& value) { m_endpointMetadata = std::move(value); } /** *

The metadata of the endpoint on which the inference experiment ran.

*/ inline DescribeInferenceExperimentResult& WithEndpointMetadata(const EndpointMetadata& value) { SetEndpointMetadata(value); return *this;} /** *

The metadata of the endpoint on which the inference experiment ran.

*/ inline DescribeInferenceExperimentResult& WithEndpointMetadata(EndpointMetadata&& value) { SetEndpointMetadata(std::move(value)); return *this;} /** *

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.

*/ inline const Aws::Vector& GetModelVariants() const{ return m_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.

*/ inline void SetModelVariants(const Aws::Vector& value) { m_modelVariants = value; } /** *

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.

*/ inline void SetModelVariants(Aws::Vector&& value) { m_modelVariants = std::move(value); } /** *

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.

*/ inline DescribeInferenceExperimentResult& WithModelVariants(const Aws::Vector& value) { SetModelVariants(value); return *this;} /** *

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.

*/ inline DescribeInferenceExperimentResult& WithModelVariants(Aws::Vector&& value) { SetModelVariants(std::move(value)); return *this;} /** *

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.

*/ inline DescribeInferenceExperimentResult& AddModelVariants(const ModelVariantConfigSummary& value) { m_modelVariants.push_back(value); return *this; } /** *

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.

*/ inline DescribeInferenceExperimentResult& AddModelVariants(ModelVariantConfigSummary&& value) { m_modelVariants.push_back(std::move(value)); return *this; } /** *

The Amazon S3 location and configuration for storing inference request and * response data.

*/ inline const InferenceExperimentDataStorageConfig& GetDataStorageConfig() const{ return m_dataStorageConfig; } /** *

The Amazon S3 location and configuration for storing inference request and * response data.

*/ inline void SetDataStorageConfig(const InferenceExperimentDataStorageConfig& value) { m_dataStorageConfig = value; } /** *

The Amazon S3 location and configuration for storing inference request and * response data.

*/ inline void SetDataStorageConfig(InferenceExperimentDataStorageConfig&& value) { m_dataStorageConfig = std::move(value); } /** *

The Amazon S3 location and configuration for storing inference request and * response data.

*/ inline DescribeInferenceExperimentResult& WithDataStorageConfig(const InferenceExperimentDataStorageConfig& value) { SetDataStorageConfig(value); return *this;} /** *

The Amazon S3 location and configuration for storing inference request and * response data.

*/ inline DescribeInferenceExperimentResult& WithDataStorageConfig(InferenceExperimentDataStorageConfig&& value) { SetDataStorageConfig(std::move(value)); return *this;} /** *

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.

*/ inline const ShadowModeConfig& GetShadowModeConfig() const{ return m_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.

*/ inline void SetShadowModeConfig(const ShadowModeConfig& value) { m_shadowModeConfig = value; } /** *

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.

*/ inline void SetShadowModeConfig(ShadowModeConfig&& value) { m_shadowModeConfig = std::move(value); } /** *

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.

*/ inline DescribeInferenceExperimentResult& WithShadowModeConfig(const ShadowModeConfig& value) { SetShadowModeConfig(value); return *this;} /** *

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.

*/ inline DescribeInferenceExperimentResult& WithShadowModeConfig(ShadowModeConfig&& value) { SetShadowModeConfig(std::move(value)); return *this;} /** *

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key * that Amazon SageMaker uses to encrypt data on the storage volume attached to the * ML compute instance that hosts the endpoint. For more information, see CreateInferenceExperiment. *

*/ inline const Aws::String& GetKmsKey() const{ return m_kmsKey; } /** *

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key * that Amazon SageMaker uses to encrypt data on the storage volume attached to the * ML compute instance that hosts the endpoint. For more information, see CreateInferenceExperiment. *

*/ inline void SetKmsKey(const Aws::String& value) { m_kmsKey = value; } /** *

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key * that Amazon SageMaker uses to encrypt data on the storage volume attached to the * ML compute instance that hosts the endpoint. For more information, see CreateInferenceExperiment. *

*/ inline void SetKmsKey(Aws::String&& value) { m_kmsKey = std::move(value); } /** *

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key * that Amazon SageMaker uses to encrypt data on the storage volume attached to the * ML compute instance that hosts the endpoint. For more information, see CreateInferenceExperiment. *

*/ inline void SetKmsKey(const char* value) { m_kmsKey.assign(value); } /** *

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key * that Amazon SageMaker uses to encrypt data on the storage volume attached to the * ML compute instance that hosts the endpoint. For more information, see CreateInferenceExperiment. *

*/ inline DescribeInferenceExperimentResult& WithKmsKey(const Aws::String& value) { SetKmsKey(value); return *this;} /** *

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key * that Amazon SageMaker uses to encrypt data on the storage volume attached to the * ML compute instance that hosts the endpoint. For more information, see CreateInferenceExperiment. *

*/ inline DescribeInferenceExperimentResult& WithKmsKey(Aws::String&& value) { SetKmsKey(std::move(value)); return *this;} /** *

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key * that Amazon SageMaker uses to encrypt data on the storage volume attached to the * ML compute instance that hosts the endpoint. For more information, see CreateInferenceExperiment. *

*/ inline DescribeInferenceExperimentResult& WithKmsKey(const char* value) { SetKmsKey(value); return *this;} inline const Aws::String& GetRequestId() const{ return m_requestId; } inline void SetRequestId(const Aws::String& value) { m_requestId = value; } inline void SetRequestId(Aws::String&& value) { m_requestId = std::move(value); } inline void SetRequestId(const char* value) { m_requestId.assign(value); } inline DescribeInferenceExperimentResult& WithRequestId(const Aws::String& value) { SetRequestId(value); return *this;} inline DescribeInferenceExperimentResult& WithRequestId(Aws::String&& value) { SetRequestId(std::move(value)); return *this;} inline DescribeInferenceExperimentResult& WithRequestId(const char* value) { SetRequestId(value); return *this;} private: Aws::String m_arn; Aws::String m_name; InferenceExperimentType m_type; InferenceExperimentSchedule m_schedule; InferenceExperimentStatus m_status; Aws::String m_statusReason; Aws::String m_description; Aws::Utils::DateTime m_creationTime; Aws::Utils::DateTime m_completionTime; Aws::Utils::DateTime m_lastModifiedTime; Aws::String m_roleArn; EndpointMetadata m_endpointMetadata; Aws::Vector m_modelVariants; InferenceExperimentDataStorageConfig m_dataStorageConfig; ShadowModeConfig m_shadowModeConfig; Aws::String m_kmsKey; Aws::String m_requestId; }; } // namespace Model } // namespace SageMaker } // namespace Aws