PerformanceMetrics.h

 
#pragma once
#include <aws/machinelearning/MachineLearning_EXPORTS.h>
#include <aws/core/utils/memory/stl/AWSMap.h>
#include <aws/core/utils/memory/stl/AWSString.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