/** * 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 namespace Aws { namespace Utils { namespace Json { class JsonValue; class JsonView; } // namespace Json } // namespace Utils namespace SageMaker { namespace Model { /** *

The input configuration of the recommendation job.

See Also:

* AWS * API Reference

*/ class RecommendationJobInputConfig { public: AWS_SAGEMAKER_API RecommendationJobInputConfig(); AWS_SAGEMAKER_API RecommendationJobInputConfig(Aws::Utils::Json::JsonView jsonValue); AWS_SAGEMAKER_API RecommendationJobInputConfig& operator=(Aws::Utils::Json::JsonView jsonValue); AWS_SAGEMAKER_API Aws::Utils::Json::JsonValue Jsonize() const; /** *

The Amazon Resource Name (ARN) of a versioned model package.

*/ inline const Aws::String& GetModelPackageVersionArn() const{ return m_modelPackageVersionArn; } /** *

The Amazon Resource Name (ARN) of a versioned model package.

*/ inline bool ModelPackageVersionArnHasBeenSet() const { return m_modelPackageVersionArnHasBeenSet; } /** *

The Amazon Resource Name (ARN) of a versioned model package.

*/ inline void SetModelPackageVersionArn(const Aws::String& value) { m_modelPackageVersionArnHasBeenSet = true; m_modelPackageVersionArn = value; } /** *

The Amazon Resource Name (ARN) of a versioned model package.

*/ inline void SetModelPackageVersionArn(Aws::String&& value) { m_modelPackageVersionArnHasBeenSet = true; m_modelPackageVersionArn = std::move(value); } /** *

The Amazon Resource Name (ARN) of a versioned model package.

*/ inline void SetModelPackageVersionArn(const char* value) { m_modelPackageVersionArnHasBeenSet = true; m_modelPackageVersionArn.assign(value); } /** *

The Amazon Resource Name (ARN) of a versioned model package.

*/ inline RecommendationJobInputConfig& WithModelPackageVersionArn(const Aws::String& value) { SetModelPackageVersionArn(value); return *this;} /** *

The Amazon Resource Name (ARN) of a versioned model package.

*/ inline RecommendationJobInputConfig& WithModelPackageVersionArn(Aws::String&& value) { SetModelPackageVersionArn(std::move(value)); return *this;} /** *

The Amazon Resource Name (ARN) of a versioned model package.

*/ inline RecommendationJobInputConfig& WithModelPackageVersionArn(const char* value) { SetModelPackageVersionArn(value); return *this;} /** *

Specifies the maximum duration of the job, in seconds.>

*/ inline int GetJobDurationInSeconds() const{ return m_jobDurationInSeconds; } /** *

Specifies the maximum duration of the job, in seconds.>

*/ inline bool JobDurationInSecondsHasBeenSet() const { return m_jobDurationInSecondsHasBeenSet; } /** *

Specifies the maximum duration of the job, in seconds.>

*/ inline void SetJobDurationInSeconds(int value) { m_jobDurationInSecondsHasBeenSet = true; m_jobDurationInSeconds = value; } /** *

Specifies the maximum duration of the job, in seconds.>

*/ inline RecommendationJobInputConfig& WithJobDurationInSeconds(int value) { SetJobDurationInSeconds(value); return *this;} /** *

Specifies the traffic pattern of the job.

*/ inline const TrafficPattern& GetTrafficPattern() const{ return m_trafficPattern; } /** *

Specifies the traffic pattern of the job.

*/ inline bool TrafficPatternHasBeenSet() const { return m_trafficPatternHasBeenSet; } /** *

Specifies the traffic pattern of the job.

*/ inline void SetTrafficPattern(const TrafficPattern& value) { m_trafficPatternHasBeenSet = true; m_trafficPattern = value; } /** *

Specifies the traffic pattern of the job.

*/ inline void SetTrafficPattern(TrafficPattern&& value) { m_trafficPatternHasBeenSet = true; m_trafficPattern = std::move(value); } /** *

Specifies the traffic pattern of the job.

*/ inline RecommendationJobInputConfig& WithTrafficPattern(const TrafficPattern& value) { SetTrafficPattern(value); return *this;} /** *

Specifies the traffic pattern of the job.

*/ inline RecommendationJobInputConfig& WithTrafficPattern(TrafficPattern&& value) { SetTrafficPattern(std::move(value)); return *this;} /** *

Defines the resource limit of the job.

*/ inline const RecommendationJobResourceLimit& GetResourceLimit() const{ return m_resourceLimit; } /** *

Defines the resource limit of the job.

*/ inline bool ResourceLimitHasBeenSet() const { return m_resourceLimitHasBeenSet; } /** *

Defines the resource limit of the job.

*/ inline void SetResourceLimit(const RecommendationJobResourceLimit& value) { m_resourceLimitHasBeenSet = true; m_resourceLimit = value; } /** *

Defines the resource limit of the job.

*/ inline void SetResourceLimit(RecommendationJobResourceLimit&& value) { m_resourceLimitHasBeenSet = true; m_resourceLimit = std::move(value); } /** *

Defines the resource limit of the job.

*/ inline RecommendationJobInputConfig& WithResourceLimit(const RecommendationJobResourceLimit& value) { SetResourceLimit(value); return *this;} /** *

Defines the resource limit of the job.

*/ inline RecommendationJobInputConfig& WithResourceLimit(RecommendationJobResourceLimit&& value) { SetResourceLimit(std::move(value)); return *this;} /** *

Specifies the endpoint configuration to use for a job.

*/ inline const Aws::Vector& GetEndpointConfigurations() const{ return m_endpointConfigurations; } /** *

Specifies the endpoint configuration to use for a job.

*/ inline bool EndpointConfigurationsHasBeenSet() const { return m_endpointConfigurationsHasBeenSet; } /** *

Specifies the endpoint configuration to use for a job.

*/ inline void SetEndpointConfigurations(const Aws::Vector& value) { m_endpointConfigurationsHasBeenSet = true; m_endpointConfigurations = value; } /** *

Specifies the endpoint configuration to use for a job.

*/ inline void SetEndpointConfigurations(Aws::Vector&& value) { m_endpointConfigurationsHasBeenSet = true; m_endpointConfigurations = std::move(value); } /** *

Specifies the endpoint configuration to use for a job.

*/ inline RecommendationJobInputConfig& WithEndpointConfigurations(const Aws::Vector& value) { SetEndpointConfigurations(value); return *this;} /** *

Specifies the endpoint configuration to use for a job.

*/ inline RecommendationJobInputConfig& WithEndpointConfigurations(Aws::Vector&& value) { SetEndpointConfigurations(std::move(value)); return *this;} /** *

Specifies the endpoint configuration to use for a job.

*/ inline RecommendationJobInputConfig& AddEndpointConfigurations(const EndpointInputConfiguration& value) { m_endpointConfigurationsHasBeenSet = true; m_endpointConfigurations.push_back(value); return *this; } /** *

Specifies the endpoint configuration to use for a job.

*/ inline RecommendationJobInputConfig& AddEndpointConfigurations(EndpointInputConfiguration&& value) { m_endpointConfigurationsHasBeenSet = true; m_endpointConfigurations.push_back(std::move(value)); return *this; } /** *

The Amazon Resource Name (ARN) of a 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. This key will be passed to SageMaker Hosting for endpoint creation. *

The SageMaker execution role must have kms:CreateGrant * permission in order to encrypt data on the storage volume of the endpoints * created for inference recommendation. The inference recommendation job will fail * asynchronously during endpoint configuration creation if the role passed does * not have kms:CreateGrant permission.

The * KmsKeyId can be any of the following formats:

  • // * KMS Key ID

    "1234abcd-12ab-34cd-56ef-1234567890ab"

    *
  • // Amazon Resource Name (ARN) of a KMS Key

    * "arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>" *

  • // KMS Key Alias

    "alias/ExampleAlias" *

  • // Amazon Resource Name (ARN) of a KMS Key Alias

    * "arn:aws:kms:<region>:<account>:alias/<ExampleAlias>" *

For more information about key identifiers, see Key * identifiers (KeyID) in the Amazon Web Services Key Management Service * (Amazon Web Services KMS) documentation.

*/ inline const Aws::String& GetVolumeKmsKeyId() const{ return m_volumeKmsKeyId; } /** *

The Amazon Resource Name (ARN) of a 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. This key will be passed to SageMaker Hosting for endpoint creation. *

The SageMaker execution role must have kms:CreateGrant * permission in order to encrypt data on the storage volume of the endpoints * created for inference recommendation. The inference recommendation job will fail * asynchronously during endpoint configuration creation if the role passed does * not have kms:CreateGrant permission.

The * KmsKeyId can be any of the following formats:

  • // * KMS Key ID

    "1234abcd-12ab-34cd-56ef-1234567890ab"

    *
  • // Amazon Resource Name (ARN) of a KMS Key

    * "arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>" *

  • // KMS Key Alias

    "alias/ExampleAlias" *

  • // Amazon Resource Name (ARN) of a KMS Key Alias

    * "arn:aws:kms:<region>:<account>:alias/<ExampleAlias>" *

For more information about key identifiers, see Key * identifiers (KeyID) in the Amazon Web Services Key Management Service * (Amazon Web Services KMS) documentation.

*/ inline bool VolumeKmsKeyIdHasBeenSet() const { return m_volumeKmsKeyIdHasBeenSet; } /** *

The Amazon Resource Name (ARN) of a 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. This key will be passed to SageMaker Hosting for endpoint creation. *

The SageMaker execution role must have kms:CreateGrant * permission in order to encrypt data on the storage volume of the endpoints * created for inference recommendation. The inference recommendation job will fail * asynchronously during endpoint configuration creation if the role passed does * not have kms:CreateGrant permission.

The * KmsKeyId can be any of the following formats:

  • // * KMS Key ID

    "1234abcd-12ab-34cd-56ef-1234567890ab"

    *
  • // Amazon Resource Name (ARN) of a KMS Key

    * "arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>" *

  • // KMS Key Alias

    "alias/ExampleAlias" *

  • // Amazon Resource Name (ARN) of a KMS Key Alias

    * "arn:aws:kms:<region>:<account>:alias/<ExampleAlias>" *

For more information about key identifiers, see Key * identifiers (KeyID) in the Amazon Web Services Key Management Service * (Amazon Web Services KMS) documentation.

*/ inline void SetVolumeKmsKeyId(const Aws::String& value) { m_volumeKmsKeyIdHasBeenSet = true; m_volumeKmsKeyId = value; } /** *

The Amazon Resource Name (ARN) of a 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. This key will be passed to SageMaker Hosting for endpoint creation. *

The SageMaker execution role must have kms:CreateGrant * permission in order to encrypt data on the storage volume of the endpoints * created for inference recommendation. The inference recommendation job will fail * asynchronously during endpoint configuration creation if the role passed does * not have kms:CreateGrant permission.

The * KmsKeyId can be any of the following formats:

  • // * KMS Key ID

    "1234abcd-12ab-34cd-56ef-1234567890ab"

    *
  • // Amazon Resource Name (ARN) of a KMS Key

    * "arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>" *

  • // KMS Key Alias

    "alias/ExampleAlias" *

  • // Amazon Resource Name (ARN) of a KMS Key Alias

    * "arn:aws:kms:<region>:<account>:alias/<ExampleAlias>" *

For more information about key identifiers, see Key * identifiers (KeyID) in the Amazon Web Services Key Management Service * (Amazon Web Services KMS) documentation.

*/ inline void SetVolumeKmsKeyId(Aws::String&& value) { m_volumeKmsKeyIdHasBeenSet = true; m_volumeKmsKeyId = std::move(value); } /** *

The Amazon Resource Name (ARN) of a 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. This key will be passed to SageMaker Hosting for endpoint creation. *

The SageMaker execution role must have kms:CreateGrant * permission in order to encrypt data on the storage volume of the endpoints * created for inference recommendation. The inference recommendation job will fail * asynchronously during endpoint configuration creation if the role passed does * not have kms:CreateGrant permission.

The * KmsKeyId can be any of the following formats:

  • // * KMS Key ID

    "1234abcd-12ab-34cd-56ef-1234567890ab"

    *
  • // Amazon Resource Name (ARN) of a KMS Key

    * "arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>" *

  • // KMS Key Alias

    "alias/ExampleAlias" *

  • // Amazon Resource Name (ARN) of a KMS Key Alias

    * "arn:aws:kms:<region>:<account>:alias/<ExampleAlias>" *

For more information about key identifiers, see Key * identifiers (KeyID) in the Amazon Web Services Key Management Service * (Amazon Web Services KMS) documentation.

*/ inline void SetVolumeKmsKeyId(const char* value) { m_volumeKmsKeyIdHasBeenSet = true; m_volumeKmsKeyId.assign(value); } /** *

The Amazon Resource Name (ARN) of a 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. This key will be passed to SageMaker Hosting for endpoint creation. *

The SageMaker execution role must have kms:CreateGrant * permission in order to encrypt data on the storage volume of the endpoints * created for inference recommendation. The inference recommendation job will fail * asynchronously during endpoint configuration creation if the role passed does * not have kms:CreateGrant permission.

The * KmsKeyId can be any of the following formats:

  • // * KMS Key ID

    "1234abcd-12ab-34cd-56ef-1234567890ab"

    *
  • // Amazon Resource Name (ARN) of a KMS Key

    * "arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>" *

  • // KMS Key Alias

    "alias/ExampleAlias" *

  • // Amazon Resource Name (ARN) of a KMS Key Alias

    * "arn:aws:kms:<region>:<account>:alias/<ExampleAlias>" *

For more information about key identifiers, see Key * identifiers (KeyID) in the Amazon Web Services Key Management Service * (Amazon Web Services KMS) documentation.

*/ inline RecommendationJobInputConfig& WithVolumeKmsKeyId(const Aws::String& value) { SetVolumeKmsKeyId(value); return *this;} /** *

The Amazon Resource Name (ARN) of a 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. This key will be passed to SageMaker Hosting for endpoint creation. *

The SageMaker execution role must have kms:CreateGrant * permission in order to encrypt data on the storage volume of the endpoints * created for inference recommendation. The inference recommendation job will fail * asynchronously during endpoint configuration creation if the role passed does * not have kms:CreateGrant permission.

The * KmsKeyId can be any of the following formats:

  • // * KMS Key ID

    "1234abcd-12ab-34cd-56ef-1234567890ab"

    *
  • // Amazon Resource Name (ARN) of a KMS Key

    * "arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>" *

  • // KMS Key Alias

    "alias/ExampleAlias" *

  • // Amazon Resource Name (ARN) of a KMS Key Alias

    * "arn:aws:kms:<region>:<account>:alias/<ExampleAlias>" *

For more information about key identifiers, see Key * identifiers (KeyID) in the Amazon Web Services Key Management Service * (Amazon Web Services KMS) documentation.

*/ inline RecommendationJobInputConfig& WithVolumeKmsKeyId(Aws::String&& value) { SetVolumeKmsKeyId(std::move(value)); return *this;} /** *

The Amazon Resource Name (ARN) of a 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. This key will be passed to SageMaker Hosting for endpoint creation. *

The SageMaker execution role must have kms:CreateGrant * permission in order to encrypt data on the storage volume of the endpoints * created for inference recommendation. The inference recommendation job will fail * asynchronously during endpoint configuration creation if the role passed does * not have kms:CreateGrant permission.

The * KmsKeyId can be any of the following formats:

  • // * KMS Key ID

    "1234abcd-12ab-34cd-56ef-1234567890ab"

    *
  • // Amazon Resource Name (ARN) of a KMS Key

    * "arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>" *

  • // KMS Key Alias

    "alias/ExampleAlias" *

  • // Amazon Resource Name (ARN) of a KMS Key Alias

    * "arn:aws:kms:<region>:<account>:alias/<ExampleAlias>" *

For more information about key identifiers, see Key * identifiers (KeyID) in the Amazon Web Services Key Management Service * (Amazon Web Services KMS) documentation.

*/ inline RecommendationJobInputConfig& WithVolumeKmsKeyId(const char* value) { SetVolumeKmsKeyId(value); return *this;} /** *

Specifies mandatory fields for running an Inference Recommender job. The * fields specified in ContainerConfig override the corresponding * fields in the model package.

*/ inline const RecommendationJobContainerConfig& GetContainerConfig() const{ return m_containerConfig; } /** *

Specifies mandatory fields for running an Inference Recommender job. The * fields specified in ContainerConfig override the corresponding * fields in the model package.

*/ inline bool ContainerConfigHasBeenSet() const { return m_containerConfigHasBeenSet; } /** *

Specifies mandatory fields for running an Inference Recommender job. The * fields specified in ContainerConfig override the corresponding * fields in the model package.

*/ inline void SetContainerConfig(const RecommendationJobContainerConfig& value) { m_containerConfigHasBeenSet = true; m_containerConfig = value; } /** *

Specifies mandatory fields for running an Inference Recommender job. The * fields specified in ContainerConfig override the corresponding * fields in the model package.

*/ inline void SetContainerConfig(RecommendationJobContainerConfig&& value) { m_containerConfigHasBeenSet = true; m_containerConfig = std::move(value); } /** *

Specifies mandatory fields for running an Inference Recommender job. The * fields specified in ContainerConfig override the corresponding * fields in the model package.

*/ inline RecommendationJobInputConfig& WithContainerConfig(const RecommendationJobContainerConfig& value) { SetContainerConfig(value); return *this;} /** *

Specifies mandatory fields for running an Inference Recommender job. The * fields specified in ContainerConfig override the corresponding * fields in the model package.

*/ inline RecommendationJobInputConfig& WithContainerConfig(RecommendationJobContainerConfig&& value) { SetContainerConfig(std::move(value)); return *this;} /** *

Existing customer endpoints on which to run an Inference Recommender job.

*/ inline const Aws::Vector& GetEndpoints() const{ return m_endpoints; } /** *

Existing customer endpoints on which to run an Inference Recommender job.

*/ inline bool EndpointsHasBeenSet() const { return m_endpointsHasBeenSet; } /** *

Existing customer endpoints on which to run an Inference Recommender job.

*/ inline void SetEndpoints(const Aws::Vector& value) { m_endpointsHasBeenSet = true; m_endpoints = value; } /** *

Existing customer endpoints on which to run an Inference Recommender job.

*/ inline void SetEndpoints(Aws::Vector&& value) { m_endpointsHasBeenSet = true; m_endpoints = std::move(value); } /** *

Existing customer endpoints on which to run an Inference Recommender job.

*/ inline RecommendationJobInputConfig& WithEndpoints(const Aws::Vector& value) { SetEndpoints(value); return *this;} /** *

Existing customer endpoints on which to run an Inference Recommender job.

*/ inline RecommendationJobInputConfig& WithEndpoints(Aws::Vector&& value) { SetEndpoints(std::move(value)); return *this;} /** *

Existing customer endpoints on which to run an Inference Recommender job.

*/ inline RecommendationJobInputConfig& AddEndpoints(const EndpointInfo& value) { m_endpointsHasBeenSet = true; m_endpoints.push_back(value); return *this; } /** *

Existing customer endpoints on which to run an Inference Recommender job.

*/ inline RecommendationJobInputConfig& AddEndpoints(EndpointInfo&& value) { m_endpointsHasBeenSet = true; m_endpoints.push_back(std::move(value)); return *this; } /** *

Inference Recommender provisions SageMaker endpoints with access to VPC in * the inference recommendation job.

*/ inline const RecommendationJobVpcConfig& GetVpcConfig() const{ return m_vpcConfig; } /** *

Inference Recommender provisions SageMaker endpoints with access to VPC in * the inference recommendation job.

*/ inline bool VpcConfigHasBeenSet() const { return m_vpcConfigHasBeenSet; } /** *

Inference Recommender provisions SageMaker endpoints with access to VPC in * the inference recommendation job.

*/ inline void SetVpcConfig(const RecommendationJobVpcConfig& value) { m_vpcConfigHasBeenSet = true; m_vpcConfig = value; } /** *

Inference Recommender provisions SageMaker endpoints with access to VPC in * the inference recommendation job.

*/ inline void SetVpcConfig(RecommendationJobVpcConfig&& value) { m_vpcConfigHasBeenSet = true; m_vpcConfig = std::move(value); } /** *

Inference Recommender provisions SageMaker endpoints with access to VPC in * the inference recommendation job.

*/ inline RecommendationJobInputConfig& WithVpcConfig(const RecommendationJobVpcConfig& value) { SetVpcConfig(value); return *this;} /** *

Inference Recommender provisions SageMaker endpoints with access to VPC in * the inference recommendation job.

*/ inline RecommendationJobInputConfig& WithVpcConfig(RecommendationJobVpcConfig&& value) { SetVpcConfig(std::move(value)); return *this;} /** *

The name of the created model.

*/ inline const Aws::String& GetModelName() const{ return m_modelName; } /** *

The name of the created model.

*/ inline bool ModelNameHasBeenSet() const { return m_modelNameHasBeenSet; } /** *

The name of the created model.

*/ inline void SetModelName(const Aws::String& value) { m_modelNameHasBeenSet = true; m_modelName = value; } /** *

The name of the created model.

*/ inline void SetModelName(Aws::String&& value) { m_modelNameHasBeenSet = true; m_modelName = std::move(value); } /** *

The name of the created model.

*/ inline void SetModelName(const char* value) { m_modelNameHasBeenSet = true; m_modelName.assign(value); } /** *

The name of the created model.

*/ inline RecommendationJobInputConfig& WithModelName(const Aws::String& value) { SetModelName(value); return *this;} /** *

The name of the created model.

*/ inline RecommendationJobInputConfig& WithModelName(Aws::String&& value) { SetModelName(std::move(value)); return *this;} /** *

The name of the created model.

*/ inline RecommendationJobInputConfig& WithModelName(const char* value) { SetModelName(value); return *this;} private: Aws::String m_modelPackageVersionArn; bool m_modelPackageVersionArnHasBeenSet = false; int m_jobDurationInSeconds; bool m_jobDurationInSecondsHasBeenSet = false; TrafficPattern m_trafficPattern; bool m_trafficPatternHasBeenSet = false; RecommendationJobResourceLimit m_resourceLimit; bool m_resourceLimitHasBeenSet = false; Aws::Vector m_endpointConfigurations; bool m_endpointConfigurationsHasBeenSet = false; Aws::String m_volumeKmsKeyId; bool m_volumeKmsKeyIdHasBeenSet = false; RecommendationJobContainerConfig m_containerConfig; bool m_containerConfigHasBeenSet = false; Aws::Vector m_endpoints; bool m_endpointsHasBeenSet = false; RecommendationJobVpcConfig m_vpcConfig; bool m_vpcConfigHasBeenSet = false; Aws::String m_modelName; bool m_modelNameHasBeenSet = false; }; } // namespace Model } // namespace SageMaker } // namespace Aws