PerformanceMetrics.h

 
#pragma once
#include <aws/core/utils/memory/stl/AWSMap.h>
#include <aws/core/utils/memory/stl/AWSString.h>
#include <aws/machinelearning/MachineLearning_EXPORTS.h>
 
#include <utility>
 
namespace Aws {
namespace Utils {
namespace Json {
class JsonValue;
class JsonView;
}  // namespace Json
}  // namespace Utils
namespace MachineLearning {
namespace Model {
 
class PerformanceMetrics {
 public:
  AWS_MACHINELEARNING_API PerformanceMetrics() = default;
  AWS_MACHINELEARNING_API PerformanceMetrics(Aws::Utils::Json::JsonView jsonValue);
  AWS_MACHINELEARNING_API PerformanceMetrics& operator=(Aws::Utils::Json::JsonView jsonValue);
  AWS_MACHINELEARNING_API Aws::Utils::Json::JsonValue Jsonize() const;
 
 
  inline const Aws::Map<Aws::String, Aws::String>& GetProperties() const { return m_properties; }
  inline bool PropertiesHasBeenSet() const { return m_propertiesHasBeenSet; }
  template <typename PropertiesT = Aws::Map<Aws::String, Aws::String>>
  void SetProperties(PropertiesT&& value) {
    m_propertiesHasBeenSet = true;
    m_properties = std::forward<PropertiesT>(value);
  }
  template <typename PropertiesT = Aws::Map<Aws::String, Aws::String>>
  PerformanceMetrics& WithProperties(PropertiesT&& value) {
    SetProperties(std::forward<PropertiesT>(value));
    return *this;
  }
  template <typename PropertiesKeyT = Aws::String, typename PropertiesValueT = Aws::String>
  PerformanceMetrics& AddProperties(PropertiesKeyT&& key, PropertiesValueT&& value) {
    m_propertiesHasBeenSet = true;
    m_properties.emplace(std::forward<PropertiesKeyT>(key), std::forward<PropertiesValueT>(value));
    return *this;
  }
 private:
  Aws::Map<Aws::String, Aws::String> m_properties;
  bool m_propertiesHasBeenSet = false;
};
 
}  // namespace Model
}  // namespace MachineLearning
}  // namespace Aws