MLModel.h

 
#pragma once
#include <aws/core/utils/DateTime.h>
#include <aws/core/utils/memory/stl/AWSMap.h>
#include <aws/core/utils/memory/stl/AWSString.h>
#include <aws/machinelearning/MachineLearning_EXPORTS.h>
#include <aws/machinelearning/model/Algorithm.h>
#include <aws/machinelearning/model/EntityStatus.h>
#include <aws/machinelearning/model/MLModelType.h>
#include <aws/machinelearning/model/RealtimeEndpointInfo.h>
 
#include <utility>
 
namespace Aws {
namespace Utils {
namespace Json {
class JsonValue;
class JsonView;
}  // namespace Json
}  // namespace Utils
namespace MachineLearning {
namespace Model {
 
class MLModel {
 public:
  AWS_MACHINELEARNING_API MLModel() = default;
  AWS_MACHINELEARNING_API MLModel(Aws::Utils::Json::JsonView jsonValue);
  AWS_MACHINELEARNING_API MLModel& operator=(Aws::Utils::Json::JsonView jsonValue);
  AWS_MACHINELEARNING_API Aws::Utils::Json::JsonValue Jsonize() const;
 
 
  inline const Aws::String& GetMLModelId() const { return m_mLModelId; }
  inline bool MLModelIdHasBeenSet() const { return m_mLModelIdHasBeenSet; }
  template <typename MLModelIdT = Aws::String>
  void SetMLModelId(MLModelIdT&& value) {
    m_mLModelIdHasBeenSet = true;
    m_mLModelId = std::forward<MLModelIdT>(value);
  }
  template <typename MLModelIdT = Aws::String>
  MLModel& WithMLModelId(MLModelIdT&& value) {
    SetMLModelId(std::forward<MLModelIdT>(value));
    return *this;
  }
 
 
  inline const Aws::String& GetTrainingDataSourceId() const { return m_trainingDataSourceId; }
  inline bool TrainingDataSourceIdHasBeenSet() const { return m_trainingDataSourceIdHasBeenSet; }
  template <typename TrainingDataSourceIdT = Aws::String>
  void SetTrainingDataSourceId(TrainingDataSourceIdT&& value) {
    m_trainingDataSourceIdHasBeenSet = true;
    m_trainingDataSourceId = std::forward<TrainingDataSourceIdT>(value);
  }
  template <typename TrainingDataSourceIdT = Aws::String>
  MLModel& WithTrainingDataSourceId(TrainingDataSourceIdT&& value) {
    SetTrainingDataSourceId(std::forward<TrainingDataSourceIdT>(value));
    return *this;
  }
 
 
  inline const Aws::String& GetCreatedByIamUser() const { return m_createdByIamUser; }
  inline bool CreatedByIamUserHasBeenSet() const { return m_createdByIamUserHasBeenSet; }
  template <typename CreatedByIamUserT = Aws::String>
  void SetCreatedByIamUser(CreatedByIamUserT&& value) {
    m_createdByIamUserHasBeenSet = true;
    m_createdByIamUser = std::forward<CreatedByIamUserT>(value);
  }
  template <typename CreatedByIamUserT = Aws::String>
  MLModel& WithCreatedByIamUser(CreatedByIamUserT&& value) {
    SetCreatedByIamUser(std::forward<CreatedByIamUserT>(value));
    return *this;
  }
 
 
  inline const Aws::Utils::DateTime& GetCreatedAt() const { return m_createdAt; }
  inline bool CreatedAtHasBeenSet() const { return m_createdAtHasBeenSet; }
  template <typename CreatedAtT = Aws::Utils::DateTime>
  void SetCreatedAt(CreatedAtT&& value) {
    m_createdAtHasBeenSet = true;
    m_createdAt = std::forward<CreatedAtT>(value);
  }
  template <typename CreatedAtT = Aws::Utils::DateTime>
  MLModel& WithCreatedAt(CreatedAtT&& value) {
    SetCreatedAt(std::forward<CreatedAtT>(value));
    return *this;
  }
 
 
  inline const Aws::Utils::DateTime& GetLastUpdatedAt() const { return m_lastUpdatedAt; }
  inline bool LastUpdatedAtHasBeenSet() const { return m_lastUpdatedAtHasBeenSet; }
  template <typename LastUpdatedAtT = Aws::Utils::DateTime>
  void SetLastUpdatedAt(LastUpdatedAtT&& value) {
    m_lastUpdatedAtHasBeenSet = true;
    m_lastUpdatedAt = std::forward<LastUpdatedAtT>(value);
  }
  template <typename LastUpdatedAtT = Aws::Utils::DateTime>
  MLModel& WithLastUpdatedAt(LastUpdatedAtT&& value) {
    SetLastUpdatedAt(std::forward<LastUpdatedAtT>(value));
    return *this;
  }
 
 
  inline const Aws::String& GetName() const { return m_name; }
  inline bool NameHasBeenSet() const { return m_nameHasBeenSet; }
  template <typename NameT = Aws::String>
  void SetName(NameT&& value) {
    m_nameHasBeenSet = true;
    m_name = std::forward<NameT>(value);
  }
  template <typename NameT = Aws::String>
  MLModel& WithName(NameT&& value) {
    SetName(std::forward<NameT>(value));
    return *this;
  }
 
 
  inline EntityStatus GetStatus() const { return m_status; }
  inline bool StatusHasBeenSet() const { return m_statusHasBeenSet; }
  inline void SetStatus(EntityStatus value) {
    m_statusHasBeenSet = true;
    m_status = value;
  }
  inline MLModel& WithStatus(EntityStatus value) {
    SetStatus(value);
    return *this;
  }
 
 
  inline long long GetSizeInBytes() const { return m_sizeInBytes; }
  inline bool SizeInBytesHasBeenSet() const { return m_sizeInBytesHasBeenSet; }
  inline void SetSizeInBytes(long long value) {
    m_sizeInBytesHasBeenSet = true;
    m_sizeInBytes = value;
  }
  inline MLModel& WithSizeInBytes(long long value) {
    SetSizeInBytes(value);
    return *this;
  }
 
 
  inline const RealtimeEndpointInfo& GetEndpointInfo() const { return m_endpointInfo; }
  inline bool EndpointInfoHasBeenSet() const { return m_endpointInfoHasBeenSet; }
  template <typename EndpointInfoT = RealtimeEndpointInfo>
  void SetEndpointInfo(EndpointInfoT&& value) {
    m_endpointInfoHasBeenSet = true;
    m_endpointInfo = std::forward<EndpointInfoT>(value);
  }
  template <typename EndpointInfoT = RealtimeEndpointInfo>
  MLModel& WithEndpointInfo(EndpointInfoT&& value) {
    SetEndpointInfo(std::forward<EndpointInfoT>(value));
    return *this;
  }
 
 
  inline const Aws::Map<Aws::String, Aws::String>& GetTrainingParameters() const { return m_trainingParameters; }
  inline bool TrainingParametersHasBeenSet() const { return m_trainingParametersHasBeenSet; }
  template <typename TrainingParametersT = Aws::Map<Aws::String, Aws::String>>
  void SetTrainingParameters(TrainingParametersT&& value) {
    m_trainingParametersHasBeenSet = true;
    m_trainingParameters = std::forward<TrainingParametersT>(value);
  }
  template <typename TrainingParametersT = Aws::Map<Aws::String, Aws::String>>
  MLModel& WithTrainingParameters(TrainingParametersT&& value) {
    SetTrainingParameters(std::forward<TrainingParametersT>(value));
    return *this;
  }
  template <typename TrainingParametersKeyT = Aws::String, typename TrainingParametersValueT = Aws::String>
  MLModel& AddTrainingParameters(TrainingParametersKeyT&& key, TrainingParametersValueT&& value) {
    m_trainingParametersHasBeenSet = true;
    m_trainingParameters.emplace(std::forward<TrainingParametersKeyT>(key), std::forward<TrainingParametersValueT>(value));
    return *this;
  }
 
 
  inline const Aws::String& GetInputDataLocationS3() const { return m_inputDataLocationS3; }
  inline bool InputDataLocationS3HasBeenSet() const { return m_inputDataLocationS3HasBeenSet; }
  template <typename InputDataLocationS3T = Aws::String>
  void SetInputDataLocationS3(InputDataLocationS3T&& value) {
    m_inputDataLocationS3HasBeenSet = true;
    m_inputDataLocationS3 = std::forward<InputDataLocationS3T>(value);
  }
  template <typename InputDataLocationS3T = Aws::String>
  MLModel& WithInputDataLocationS3(InputDataLocationS3T&& value) {
    SetInputDataLocationS3(std::forward<InputDataLocationS3T>(value));
    return *this;
  }
 
 
  inline Algorithm GetAlgorithm() const { return m_algorithm; }
  inline bool AlgorithmHasBeenSet() const { return m_algorithmHasBeenSet; }
  inline void SetAlgorithm(Algorithm value) {
    m_algorithmHasBeenSet = true;
    m_algorithm = value;
  }
  inline MLModel& WithAlgorithm(Algorithm value) {
    SetAlgorithm(value);
    return *this;
  }
 
 
  inline MLModelType GetMLModelType() const { return m_mLModelType; }
  inline bool MLModelTypeHasBeenSet() const { return m_mLModelTypeHasBeenSet; }
  inline void SetMLModelType(MLModelType value) {
    m_mLModelTypeHasBeenSet = true;
    m_mLModelType = value;
  }
  inline MLModel& WithMLModelType(MLModelType value) {
    SetMLModelType(value);
    return *this;
  }
 
 
  inline double GetScoreThreshold() const { return m_scoreThreshold; }
  inline bool ScoreThresholdHasBeenSet() const { return m_scoreThresholdHasBeenSet; }
  inline void SetScoreThreshold(double value) {
    m_scoreThresholdHasBeenSet = true;
    m_scoreThreshold = value;
  }
  inline MLModel& WithScoreThreshold(double value) {
    SetScoreThreshold(value);
    return *this;
  }
 
 
  inline const Aws::Utils::DateTime& GetScoreThresholdLastUpdatedAt() const { return m_scoreThresholdLastUpdatedAt; }
  inline bool ScoreThresholdLastUpdatedAtHasBeenSet() const { return m_scoreThresholdLastUpdatedAtHasBeenSet; }
  template <typename ScoreThresholdLastUpdatedAtT = Aws::Utils::DateTime>
  void SetScoreThresholdLastUpdatedAt(ScoreThresholdLastUpdatedAtT&& value) {
    m_scoreThresholdLastUpdatedAtHasBeenSet = true;
    m_scoreThresholdLastUpdatedAt = std::forward<ScoreThresholdLastUpdatedAtT>(value);
  }
  template <typename ScoreThresholdLastUpdatedAtT = Aws::Utils::DateTime>
  MLModel& WithScoreThresholdLastUpdatedAt(ScoreThresholdLastUpdatedAtT&& value) {
    SetScoreThresholdLastUpdatedAt(std::forward<ScoreThresholdLastUpdatedAtT>(value));
    return *this;
  }
 
 
  inline const Aws::String& GetMessage() const { return m_message; }
  inline bool MessageHasBeenSet() const { return m_messageHasBeenSet; }
  template <typename MessageT = Aws::String>
  void SetMessage(MessageT&& value) {
    m_messageHasBeenSet = true;
    m_message = std::forward<MessageT>(value);
  }
  template <typename MessageT = Aws::String>
  MLModel& WithMessage(MessageT&& value) {
    SetMessage(std::forward<MessageT>(value));
    return *this;
  }
 
 
  inline long long GetComputeTime() const { return m_computeTime; }
  inline bool ComputeTimeHasBeenSet() const { return m_computeTimeHasBeenSet; }
  inline void SetComputeTime(long long value) {
    m_computeTimeHasBeenSet = true;
    m_computeTime = value;
  }
  inline MLModel& WithComputeTime(long long value) {
    SetComputeTime(value);
    return *this;
  }
 
 
  inline const Aws::Utils::DateTime& GetFinishedAt() const { return m_finishedAt; }
  inline bool FinishedAtHasBeenSet() const { return m_finishedAtHasBeenSet; }
  template <typename FinishedAtT = Aws::Utils::DateTime>
  void SetFinishedAt(FinishedAtT&& value) {
    m_finishedAtHasBeenSet = true;
    m_finishedAt = std::forward<FinishedAtT>(value);
  }
  template <typename FinishedAtT = Aws::Utils::DateTime>
  MLModel& WithFinishedAt(FinishedAtT&& value) {
    SetFinishedAt(std::forward<FinishedAtT>(value));
    return *this;
  }
 
 
  inline const Aws::Utils::DateTime& GetStartedAt() const { return m_startedAt; }
  inline bool StartedAtHasBeenSet() const { return m_startedAtHasBeenSet; }
  template <typename StartedAtT = Aws::Utils::DateTime>
  void SetStartedAt(StartedAtT&& value) {
    m_startedAtHasBeenSet = true;
    m_startedAt = std::forward<StartedAtT>(value);
  }
  template <typename StartedAtT = Aws::Utils::DateTime>
  MLModel& WithStartedAt(StartedAtT&& value) {
    SetStartedAt(std::forward<StartedAtT>(value));
    return *this;
  }
 private:
  Aws::String m_mLModelId;
 
  Aws::String m_trainingDataSourceId;
 
  Aws::String m_createdByIamUser;
 
  Aws::Utils::DateTime m_createdAt{};
 
  Aws::Utils::DateTime m_lastUpdatedAt{};
 
  Aws::String m_name;
 
  EntityStatus m_status{EntityStatus::NOT_SET};
 
  long long m_sizeInBytes{0};
 
  RealtimeEndpointInfo m_endpointInfo;
 
  Aws::Map<Aws::String, Aws::String> m_trainingParameters;
 
  Aws::String m_inputDataLocationS3;
 
  Algorithm m_algorithm{Algorithm::NOT_SET};
 
  MLModelType m_mLModelType{MLModelType::NOT_SET};
 
  double m_scoreThreshold{0.0};
 
  Aws::Utils::DateTime m_scoreThresholdLastUpdatedAt{};
 
  Aws::String m_message;
 
  long long m_computeTime{0};
 
  Aws::Utils::DateTime m_finishedAt{};
 
  Aws::Utils::DateTime m_startedAt{};
  bool m_mLModelIdHasBeenSet = false;
  bool m_trainingDataSourceIdHasBeenSet = false;
  bool m_createdByIamUserHasBeenSet = false;
  bool m_createdAtHasBeenSet = false;
  bool m_lastUpdatedAtHasBeenSet = false;
  bool m_nameHasBeenSet = false;
  bool m_statusHasBeenSet = false;
  bool m_sizeInBytesHasBeenSet = false;
  bool m_endpointInfoHasBeenSet = false;
  bool m_trainingParametersHasBeenSet = false;
  bool m_inputDataLocationS3HasBeenSet = false;
  bool m_algorithmHasBeenSet = false;
  bool m_mLModelTypeHasBeenSet = false;
  bool m_scoreThresholdHasBeenSet = false;
  bool m_scoreThresholdLastUpdatedAtHasBeenSet = false;
  bool m_messageHasBeenSet = false;
  bool m_computeTimeHasBeenSet = false;
  bool m_finishedAtHasBeenSet = false;
  bool m_startedAtHasBeenSet = false;
};
 
}  // namespace Model
}  // namespace MachineLearning
}  // namespace Aws