/**
 * Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
 * SPDX-License-Identifier: Apache-2.0.
 */

#pragma once
#include <aws/cleanroomsml/CleanRoomsML_EXPORTS.h>
#include <aws/cleanroomsml/model/IncrementalTrainingDataChannelOutput.h>
#include <aws/cleanroomsml/model/LogsStatus.h>
#include <aws/cleanroomsml/model/MetricsStatus.h>
#include <aws/cleanroomsml/model/ModelTrainingDataChannel.h>
#include <aws/cleanroomsml/model/ResourceConfig.h>
#include <aws/cleanroomsml/model/StatusDetails.h>
#include <aws/cleanroomsml/model/StoppingCondition.h>
#include <aws/cleanroomsml/model/TrainedModelStatus.h>
#include <aws/cleanroomsml/model/TrainingInputMode.h>
#include <aws/core/http/HttpResponse.h>
#include <aws/core/utils/DateTime.h>
#include <aws/core/utils/memory/stl/AWSMap.h>
#include <aws/core/utils/memory/stl/AWSString.h>
#include <aws/core/utils/memory/stl/AWSVector.h>

#include <utility>

namespace Aws {
template <typename RESULT_TYPE>
class AmazonWebServiceResult;

namespace Utils {
namespace Json {
class JsonValue;
}  // namespace Json
}  // namespace Utils
namespace CleanRoomsML {
namespace Model {
class GetTrainedModelResult {
 public:
  AWS_CLEANROOMSML_API GetTrainedModelResult() = default;
  AWS_CLEANROOMSML_API GetTrainedModelResult(const Aws::AmazonWebServiceResult<Aws::Utils::Json::JsonValue>& result);
  AWS_CLEANROOMSML_API GetTrainedModelResult& operator=(const Aws::AmazonWebServiceResult<Aws::Utils::Json::JsonValue>& result);

  ///@{
  /**
   * <p>The membership ID of the member that created the trained model.</p>
   */
  inline const Aws::String& GetMembershipIdentifier() const { return m_membershipIdentifier; }
  template <typename MembershipIdentifierT = Aws::String>
  void SetMembershipIdentifier(MembershipIdentifierT&& value) {
    m_membershipIdentifierHasBeenSet = true;
    m_membershipIdentifier = std::forward<MembershipIdentifierT>(value);
  }
  template <typename MembershipIdentifierT = Aws::String>
  GetTrainedModelResult& WithMembershipIdentifier(MembershipIdentifierT&& value) {
    SetMembershipIdentifier(std::forward<MembershipIdentifierT>(value));
    return *this;
  }
  ///@}

  ///@{
  /**
   * <p>The collaboration ID of the collaboration that contains the trained
   * model.</p>
   */
  inline const Aws::String& GetCollaborationIdentifier() const { return m_collaborationIdentifier; }
  template <typename CollaborationIdentifierT = Aws::String>
  void SetCollaborationIdentifier(CollaborationIdentifierT&& value) {
    m_collaborationIdentifierHasBeenSet = true;
    m_collaborationIdentifier = std::forward<CollaborationIdentifierT>(value);
  }
  template <typename CollaborationIdentifierT = Aws::String>
  GetTrainedModelResult& WithCollaborationIdentifier(CollaborationIdentifierT&& value) {
    SetCollaborationIdentifier(std::forward<CollaborationIdentifierT>(value));
    return *this;
  }
  ///@}

  ///@{
  /**
   * <p>The Amazon Resource Name (ARN) of the trained model.</p>
   */
  inline const Aws::String& GetTrainedModelArn() const { return m_trainedModelArn; }
  template <typename TrainedModelArnT = Aws::String>
  void SetTrainedModelArn(TrainedModelArnT&& value) {
    m_trainedModelArnHasBeenSet = true;
    m_trainedModelArn = std::forward<TrainedModelArnT>(value);
  }
  template <typename TrainedModelArnT = Aws::String>
  GetTrainedModelResult& WithTrainedModelArn(TrainedModelArnT&& value) {
    SetTrainedModelArn(std::forward<TrainedModelArnT>(value));
    return *this;
  }
  ///@}

  ///@{
  /**
   * <p>The version identifier of the trained model. This unique identifier
   * distinguishes this version from other versions of the same trained model.</p>
   */
  inline const Aws::String& GetVersionIdentifier() const { return m_versionIdentifier; }
  template <typename VersionIdentifierT = Aws::String>
  void SetVersionIdentifier(VersionIdentifierT&& value) {
    m_versionIdentifierHasBeenSet = true;
    m_versionIdentifier = std::forward<VersionIdentifierT>(value);
  }
  template <typename VersionIdentifierT = Aws::String>
  GetTrainedModelResult& WithVersionIdentifier(VersionIdentifierT&& value) {
    SetVersionIdentifier(std::forward<VersionIdentifierT>(value));
    return *this;
  }
  ///@}

  ///@{
  /**
   * <p>Information about the incremental training data channels used to create this
   * version of the trained model. This includes details about the base model that
   * was used for incremental training and the channel configuration.</p>
   */
  inline const Aws::Vector<IncrementalTrainingDataChannelOutput>& GetIncrementalTrainingDataChannels() const {
    return m_incrementalTrainingDataChannels;
  }
  template <typename IncrementalTrainingDataChannelsT = Aws::Vector<IncrementalTrainingDataChannelOutput>>
  void SetIncrementalTrainingDataChannels(IncrementalTrainingDataChannelsT&& value) {
    m_incrementalTrainingDataChannelsHasBeenSet = true;
    m_incrementalTrainingDataChannels = std::forward<IncrementalTrainingDataChannelsT>(value);
  }
  template <typename IncrementalTrainingDataChannelsT = Aws::Vector<IncrementalTrainingDataChannelOutput>>
  GetTrainedModelResult& WithIncrementalTrainingDataChannels(IncrementalTrainingDataChannelsT&& value) {
    SetIncrementalTrainingDataChannels(std::forward<IncrementalTrainingDataChannelsT>(value));
    return *this;
  }
  template <typename IncrementalTrainingDataChannelsT = IncrementalTrainingDataChannelOutput>
  GetTrainedModelResult& AddIncrementalTrainingDataChannels(IncrementalTrainingDataChannelsT&& value) {
    m_incrementalTrainingDataChannelsHasBeenSet = true;
    m_incrementalTrainingDataChannels.emplace_back(std::forward<IncrementalTrainingDataChannelsT>(value));
    return *this;
  }
  ///@}

  ///@{
  /**
   * <p>The name of the trained model.</p>
   */
  inline const Aws::String& GetName() const { return m_name; }
  template <typename NameT = Aws::String>
  void SetName(NameT&& value) {
    m_nameHasBeenSet = true;
    m_name = std::forward<NameT>(value);
  }
  template <typename NameT = Aws::String>
  GetTrainedModelResult& WithName(NameT&& value) {
    SetName(std::forward<NameT>(value));
    return *this;
  }
  ///@}

  ///@{
  /**
   * <p>The description of the trained model.</p>
   */
  inline const Aws::String& GetDescription() const { return m_description; }
  template <typename DescriptionT = Aws::String>
  void SetDescription(DescriptionT&& value) {
    m_descriptionHasBeenSet = true;
    m_description = std::forward<DescriptionT>(value);
  }
  template <typename DescriptionT = Aws::String>
  GetTrainedModelResult& WithDescription(DescriptionT&& value) {
    SetDescription(std::forward<DescriptionT>(value));
    return *this;
  }
  ///@}

  ///@{
  /**
   * <p>The status of the trained model.</p>
   */
  inline TrainedModelStatus GetStatus() const { return m_status; }
  inline void SetStatus(TrainedModelStatus value) {
    m_statusHasBeenSet = true;
    m_status = value;
  }
  inline GetTrainedModelResult& WithStatus(TrainedModelStatus value) {
    SetStatus(value);
    return *this;
  }
  ///@}

  ///@{

  inline const StatusDetails& GetStatusDetails() const { return m_statusDetails; }
  template <typename StatusDetailsT = StatusDetails>
  void SetStatusDetails(StatusDetailsT&& value) {
    m_statusDetailsHasBeenSet = true;
    m_statusDetails = std::forward<StatusDetailsT>(value);
  }
  template <typename StatusDetailsT = StatusDetails>
  GetTrainedModelResult& WithStatusDetails(StatusDetailsT&& value) {
    SetStatusDetails(std::forward<StatusDetailsT>(value));
    return *this;
  }
  ///@}

  ///@{
  /**
   * <p>The Amazon Resource Name (ARN) of the configured model algorithm association
   * that was used to create the trained model.</p>
   */
  inline const Aws::String& GetConfiguredModelAlgorithmAssociationArn() const { return m_configuredModelAlgorithmAssociationArn; }
  template <typename ConfiguredModelAlgorithmAssociationArnT = Aws::String>
  void SetConfiguredModelAlgorithmAssociationArn(ConfiguredModelAlgorithmAssociationArnT&& value) {
    m_configuredModelAlgorithmAssociationArnHasBeenSet = true;
    m_configuredModelAlgorithmAssociationArn = std::forward<ConfiguredModelAlgorithmAssociationArnT>(value);
  }
  template <typename ConfiguredModelAlgorithmAssociationArnT = Aws::String>
  GetTrainedModelResult& WithConfiguredModelAlgorithmAssociationArn(ConfiguredModelAlgorithmAssociationArnT&& value) {
    SetConfiguredModelAlgorithmAssociationArn(std::forward<ConfiguredModelAlgorithmAssociationArnT>(value));
    return *this;
  }
  ///@}

  ///@{
  /**
   * <p>The EC2 resource configuration that was used to create the trained model.</p>
   */
  inline const ResourceConfig& GetResourceConfig() const { return m_resourceConfig; }
  template <typename ResourceConfigT = ResourceConfig>
  void SetResourceConfig(ResourceConfigT&& value) {
    m_resourceConfigHasBeenSet = true;
    m_resourceConfig = std::forward<ResourceConfigT>(value);
  }
  template <typename ResourceConfigT = ResourceConfig>
  GetTrainedModelResult& WithResourceConfig(ResourceConfigT&& value) {
    SetResourceConfig(std::forward<ResourceConfigT>(value));
    return *this;
  }
  ///@}

  ///@{
  /**
   * <p>The input mode that was used for accessing the training data when this
   * trained model was created. This indicates how the training data was made
   * available to the training algorithm.</p>
   */
  inline TrainingInputMode GetTrainingInputMode() const { return m_trainingInputMode; }
  inline void SetTrainingInputMode(TrainingInputMode value) {
    m_trainingInputModeHasBeenSet = true;
    m_trainingInputMode = value;
  }
  inline GetTrainedModelResult& WithTrainingInputMode(TrainingInputMode value) {
    SetTrainingInputMode(value);
    return *this;
  }
  ///@}

  ///@{
  /**
   * <p>The stopping condition that was used to terminate model training.</p>
   */
  inline const StoppingCondition& GetStoppingCondition() const { return m_stoppingCondition; }
  template <typename StoppingConditionT = StoppingCondition>
  void SetStoppingCondition(StoppingConditionT&& value) {
    m_stoppingConditionHasBeenSet = true;
    m_stoppingCondition = std::forward<StoppingConditionT>(value);
  }
  template <typename StoppingConditionT = StoppingCondition>
  GetTrainedModelResult& WithStoppingCondition(StoppingConditionT&& value) {
    SetStoppingCondition(std::forward<StoppingConditionT>(value));
    return *this;
  }
  ///@}

  ///@{
  /**
   * <p>The status of the model metrics.</p>
   */
  inline MetricsStatus GetMetricsStatus() const { return m_metricsStatus; }
  inline void SetMetricsStatus(MetricsStatus value) {
    m_metricsStatusHasBeenSet = true;
    m_metricsStatus = value;
  }
  inline GetTrainedModelResult& WithMetricsStatus(MetricsStatus value) {
    SetMetricsStatus(value);
    return *this;
  }
  ///@}

  ///@{
  /**
   * <p>Details about the metrics status for the trained model.</p>
   */
  inline const Aws::String& GetMetricsStatusDetails() const { return m_metricsStatusDetails; }
  template <typename MetricsStatusDetailsT = Aws::String>
  void SetMetricsStatusDetails(MetricsStatusDetailsT&& value) {
    m_metricsStatusDetailsHasBeenSet = true;
    m_metricsStatusDetails = std::forward<MetricsStatusDetailsT>(value);
  }
  template <typename MetricsStatusDetailsT = Aws::String>
  GetTrainedModelResult& WithMetricsStatusDetails(MetricsStatusDetailsT&& value) {
    SetMetricsStatusDetails(std::forward<MetricsStatusDetailsT>(value));
    return *this;
  }
  ///@}

  ///@{
  /**
   * <p>The logs status for the trained model.</p>
   */
  inline LogsStatus GetLogsStatus() const { return m_logsStatus; }
  inline void SetLogsStatus(LogsStatus value) {
    m_logsStatusHasBeenSet = true;
    m_logsStatus = value;
  }
  inline GetTrainedModelResult& WithLogsStatus(LogsStatus value) {
    SetLogsStatus(value);
    return *this;
  }
  ///@}

  ///@{
  /**
   * <p>Details about the logs status for the trained model.</p>
   */
  inline const Aws::String& GetLogsStatusDetails() const { return m_logsStatusDetails; }
  template <typename LogsStatusDetailsT = Aws::String>
  void SetLogsStatusDetails(LogsStatusDetailsT&& value) {
    m_logsStatusDetailsHasBeenSet = true;
    m_logsStatusDetails = std::forward<LogsStatusDetailsT>(value);
  }
  template <typename LogsStatusDetailsT = Aws::String>
  GetTrainedModelResult& WithLogsStatusDetails(LogsStatusDetailsT&& value) {
    SetLogsStatusDetails(std::forward<LogsStatusDetailsT>(value));
    return *this;
  }
  ///@}

  ///@{
  /**
   * <p>Information about the training image container.</p>
   */
  inline const Aws::String& GetTrainingContainerImageDigest() const { return m_trainingContainerImageDigest; }
  template <typename TrainingContainerImageDigestT = Aws::String>
  void SetTrainingContainerImageDigest(TrainingContainerImageDigestT&& value) {
    m_trainingContainerImageDigestHasBeenSet = true;
    m_trainingContainerImageDigest = std::forward<TrainingContainerImageDigestT>(value);
  }
  template <typename TrainingContainerImageDigestT = Aws::String>
  GetTrainedModelResult& WithTrainingContainerImageDigest(TrainingContainerImageDigestT&& value) {
    SetTrainingContainerImageDigest(std::forward<TrainingContainerImageDigestT>(value));
    return *this;
  }
  ///@}

  ///@{
  /**
   * <p>The time at which the trained model was created.</p>
   */
  inline const Aws::Utils::DateTime& GetCreateTime() const { return m_createTime; }
  template <typename CreateTimeT = Aws::Utils::DateTime>
  void SetCreateTime(CreateTimeT&& value) {
    m_createTimeHasBeenSet = true;
    m_createTime = std::forward<CreateTimeT>(value);
  }
  template <typename CreateTimeT = Aws::Utils::DateTime>
  GetTrainedModelResult& WithCreateTime(CreateTimeT&& value) {
    SetCreateTime(std::forward<CreateTimeT>(value));
    return *this;
  }
  ///@}

  ///@{
  /**
   * <p>The most recent time at which the trained model was updated.</p>
   */
  inline const Aws::Utils::DateTime& GetUpdateTime() const { return m_updateTime; }
  template <typename UpdateTimeT = Aws::Utils::DateTime>
  void SetUpdateTime(UpdateTimeT&& value) {
    m_updateTimeHasBeenSet = true;
    m_updateTime = std::forward<UpdateTimeT>(value);
  }
  template <typename UpdateTimeT = Aws::Utils::DateTime>
  GetTrainedModelResult& WithUpdateTime(UpdateTimeT&& value) {
    SetUpdateTime(std::forward<UpdateTimeT>(value));
    return *this;
  }
  ///@}

  ///@{
  /**
   * <p>The hyperparameters that were used to create the trained model.</p>
   */
  inline const Aws::Map<Aws::String, Aws::String>& GetHyperparameters() const { return m_hyperparameters; }
  template <typename HyperparametersT = Aws::Map<Aws::String, Aws::String>>
  void SetHyperparameters(HyperparametersT&& value) {
    m_hyperparametersHasBeenSet = true;
    m_hyperparameters = std::forward<HyperparametersT>(value);
  }
  template <typename HyperparametersT = Aws::Map<Aws::String, Aws::String>>
  GetTrainedModelResult& WithHyperparameters(HyperparametersT&& value) {
    SetHyperparameters(std::forward<HyperparametersT>(value));
    return *this;
  }
  template <typename HyperparametersKeyT = Aws::String, typename HyperparametersValueT = Aws::String>
  GetTrainedModelResult& AddHyperparameters(HyperparametersKeyT&& key, HyperparametersValueT&& value) {
    m_hyperparametersHasBeenSet = true;
    m_hyperparameters.emplace(std::forward<HyperparametersKeyT>(key), std::forward<HyperparametersValueT>(value));
    return *this;
  }
  ///@}

  ///@{
  /**
   * <p>The EC2 environment that was used to create the trained model.</p>
   */
  inline const Aws::Map<Aws::String, Aws::String>& GetEnvironment() const { return m_environment; }
  template <typename EnvironmentT = Aws::Map<Aws::String, Aws::String>>
  void SetEnvironment(EnvironmentT&& value) {
    m_environmentHasBeenSet = true;
    m_environment = std::forward<EnvironmentT>(value);
  }
  template <typename EnvironmentT = Aws::Map<Aws::String, Aws::String>>
  GetTrainedModelResult& WithEnvironment(EnvironmentT&& value) {
    SetEnvironment(std::forward<EnvironmentT>(value));
    return *this;
  }
  template <typename EnvironmentKeyT = Aws::String, typename EnvironmentValueT = Aws::String>
  GetTrainedModelResult& AddEnvironment(EnvironmentKeyT&& key, EnvironmentValueT&& value) {
    m_environmentHasBeenSet = true;
    m_environment.emplace(std::forward<EnvironmentKeyT>(key), std::forward<EnvironmentValueT>(value));
    return *this;
  }
  ///@}

  ///@{
  /**
   * <p>The Amazon Resource Name (ARN) of the KMS key. This key is used to encrypt
   * and decrypt customer-owned data in the trained ML model and associated data.</p>
   */
  inline const Aws::String& GetKmsKeyArn() const { return m_kmsKeyArn; }
  template <typename KmsKeyArnT = Aws::String>
  void SetKmsKeyArn(KmsKeyArnT&& value) {
    m_kmsKeyArnHasBeenSet = true;
    m_kmsKeyArn = std::forward<KmsKeyArnT>(value);
  }
  template <typename KmsKeyArnT = Aws::String>
  GetTrainedModelResult& WithKmsKeyArn(KmsKeyArnT&& value) {
    SetKmsKeyArn(std::forward<KmsKeyArnT>(value));
    return *this;
  }
  ///@}

  ///@{
  /**
   * <p>The optional metadata that you applied to the resource to help you categorize
   * and organize them. Each tag consists of a key and an optional value, both of
   * which you define.</p> <p>The following basic restrictions apply to tags:</p>
   * <ul> <li> <p>Maximum number of tags per resource - 50.</p> </li> <li> <p>For
   * each resource, each tag key must be unique, and each tag key can have only one
   * value.</p> </li> <li> <p>Maximum key length - 128 Unicode characters in
   * UTF-8.</p> </li> <li> <p>Maximum value length - 256 Unicode characters in
   * UTF-8.</p> </li> <li> <p>If your tagging schema is used across multiple services
   * and resources, remember that other services may have restrictions on allowed
   * characters. Generally allowed characters are: letters, numbers, and spaces
   * representable in UTF-8, and the following characters: + - = . _ : / @.</p> </li>
   * <li> <p>Tag keys and values are case sensitive.</p> </li> <li> <p>Do not use
   * aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys
   * as it is reserved for AWS use. You cannot edit or delete tag keys with this
   * prefix. Values can have this prefix. If a tag value has aws as its prefix but
   * the key does not, then Clean Rooms ML considers it to be a user tag and will
   * count against the limit of 50 tags. Tags with only the key prefix of aws do not
   * count against your tags per resource limit.</p> </li> </ul>
   */
  inline const Aws::Map<Aws::String, Aws::String>& GetTags() const { return m_tags; }
  template <typename TagsT = Aws::Map<Aws::String, Aws::String>>
  void SetTags(TagsT&& value) {
    m_tagsHasBeenSet = true;
    m_tags = std::forward<TagsT>(value);
  }
  template <typename TagsT = Aws::Map<Aws::String, Aws::String>>
  GetTrainedModelResult& WithTags(TagsT&& value) {
    SetTags(std::forward<TagsT>(value));
    return *this;
  }
  template <typename TagsKeyT = Aws::String, typename TagsValueT = Aws::String>
  GetTrainedModelResult& AddTags(TagsKeyT&& key, TagsValueT&& value) {
    m_tagsHasBeenSet = true;
    m_tags.emplace(std::forward<TagsKeyT>(key), std::forward<TagsValueT>(value));
    return *this;
  }
  ///@}

  ///@{
  /**
   * <p>The data channels that were used for the trained model.</p>
   */
  inline const Aws::Vector<ModelTrainingDataChannel>& GetDataChannels() const { return m_dataChannels; }
  template <typename DataChannelsT = Aws::Vector<ModelTrainingDataChannel>>
  void SetDataChannels(DataChannelsT&& value) {
    m_dataChannelsHasBeenSet = true;
    m_dataChannels = std::forward<DataChannelsT>(value);
  }
  template <typename DataChannelsT = Aws::Vector<ModelTrainingDataChannel>>
  GetTrainedModelResult& WithDataChannels(DataChannelsT&& value) {
    SetDataChannels(std::forward<DataChannelsT>(value));
    return *this;
  }
  template <typename DataChannelsT = ModelTrainingDataChannel>
  GetTrainedModelResult& AddDataChannels(DataChannelsT&& value) {
    m_dataChannelsHasBeenSet = true;
    m_dataChannels.emplace_back(std::forward<DataChannelsT>(value));
    return *this;
  }
  ///@}

  ///@{

  inline const Aws::String& GetRequestId() const { return m_requestId; }
  template <typename RequestIdT = Aws::String>
  void SetRequestId(RequestIdT&& value) {
    m_requestIdHasBeenSet = true;
    m_requestId = std::forward<RequestIdT>(value);
  }
  template <typename RequestIdT = Aws::String>
  GetTrainedModelResult& WithRequestId(RequestIdT&& value) {
    SetRequestId(std::forward<RequestIdT>(value));
    return *this;
  }
  ///@}
  inline Aws::Http::HttpResponseCode GetHttpResponseCode() const { return m_HttpResponseCode; }

 private:
  Aws::String m_membershipIdentifier;

  Aws::String m_collaborationIdentifier;

  Aws::String m_trainedModelArn;

  Aws::String m_versionIdentifier;

  Aws::Vector<IncrementalTrainingDataChannelOutput> m_incrementalTrainingDataChannels;

  Aws::String m_name;

  Aws::String m_description;

  TrainedModelStatus m_status{TrainedModelStatus::NOT_SET};

  StatusDetails m_statusDetails;

  Aws::String m_configuredModelAlgorithmAssociationArn;

  ResourceConfig m_resourceConfig;

  TrainingInputMode m_trainingInputMode{TrainingInputMode::NOT_SET};

  StoppingCondition m_stoppingCondition;

  MetricsStatus m_metricsStatus{MetricsStatus::NOT_SET};

  Aws::String m_metricsStatusDetails;

  LogsStatus m_logsStatus{LogsStatus::NOT_SET};

  Aws::String m_logsStatusDetails;

  Aws::String m_trainingContainerImageDigest;

  Aws::Utils::DateTime m_createTime{};

  Aws::Utils::DateTime m_updateTime{};

  Aws::Map<Aws::String, Aws::String> m_hyperparameters;

  Aws::Map<Aws::String, Aws::String> m_environment;

  Aws::String m_kmsKeyArn;

  Aws::Map<Aws::String, Aws::String> m_tags;

  Aws::Vector<ModelTrainingDataChannel> m_dataChannels;

  Aws::String m_requestId;
  Aws::Http::HttpResponseCode m_HttpResponseCode;
  bool m_membershipIdentifierHasBeenSet = false;
  bool m_collaborationIdentifierHasBeenSet = false;
  bool m_trainedModelArnHasBeenSet = false;
  bool m_versionIdentifierHasBeenSet = false;
  bool m_incrementalTrainingDataChannelsHasBeenSet = false;
  bool m_nameHasBeenSet = false;
  bool m_descriptionHasBeenSet = false;
  bool m_statusHasBeenSet = false;
  bool m_statusDetailsHasBeenSet = false;
  bool m_configuredModelAlgorithmAssociationArnHasBeenSet = false;
  bool m_resourceConfigHasBeenSet = false;
  bool m_trainingInputModeHasBeenSet = false;
  bool m_stoppingConditionHasBeenSet = false;
  bool m_metricsStatusHasBeenSet = false;
  bool m_metricsStatusDetailsHasBeenSet = false;
  bool m_logsStatusHasBeenSet = false;
  bool m_logsStatusDetailsHasBeenSet = false;
  bool m_trainingContainerImageDigestHasBeenSet = false;
  bool m_createTimeHasBeenSet = false;
  bool m_updateTimeHasBeenSet = false;
  bool m_hyperparametersHasBeenSet = false;
  bool m_environmentHasBeenSet = false;
  bool m_kmsKeyArnHasBeenSet = false;
  bool m_tagsHasBeenSet = false;
  bool m_dataChannelsHasBeenSet = false;
  bool m_requestIdHasBeenSet = false;
};

}  // namespace Model
}  // namespace CleanRoomsML
}  // namespace Aws
