UpdateMLModelRequest.h

 
#pragma once
#include <aws/machinelearning/MachineLearning_EXPORTS.h>
#include <aws/machinelearning/MachineLearningRequest.h>
#include <aws/core/utils/memory/stl/AWSString.h>
#include <utility>
 
namespace Aws
{
namespace MachineLearning
{
namespace Model
{
 
  class UpdateMLModelRequest : public MachineLearningRequest
  {
  public:
    AWS_MACHINELEARNING_API UpdateMLModelRequest() = default;
 
    // Service request name is the Operation name which will send this request out,
    // each operation should has unique request name, so that we can get operation's name from this request.
    // Note: this is not true for response, multiple operations may have the same response name,
    // so we can not get operation's name from response.
    inline virtual const char* GetServiceRequestName() const override { return "UpdateMLModel"; }
 
    AWS_MACHINELEARNING_API Aws::String SerializePayload() const override;
 
    AWS_MACHINELEARNING_API Aws::Http::HeaderValueCollection GetRequestSpecificHeaders() const override;
 
 
 
    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>
    UpdateMLModelRequest& WithMLModelId(MLModelIdT&& value) { SetMLModelId(std::forward<MLModelIdT>(value)); return *this;}
 
 
    inline const Aws::String& GetMLModelName() const { return m_mLModelName; }
    inline bool MLModelNameHasBeenSet() const { return m_mLModelNameHasBeenSet; }
    template<typename MLModelNameT = Aws::String>
    void SetMLModelName(MLModelNameT&& value) { m_mLModelNameHasBeenSet = true; m_mLModelName = std::forward<MLModelNameT>(value); }
    template<typename MLModelNameT = Aws::String>
    UpdateMLModelRequest& WithMLModelName(MLModelNameT&& value) { SetMLModelName(std::forward<MLModelNameT>(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 UpdateMLModelRequest& WithScoreThreshold(double value) { SetScoreThreshold(value); return *this;}
  private:
 
    Aws::String m_mLModelId;
    bool m_mLModelIdHasBeenSet = false;
 
    Aws::String m_mLModelName;
    bool m_mLModelNameHasBeenSet = false;
 
    double m_scoreThreshold{0.0};
    bool m_scoreThresholdHasBeenSet = false;
  };
 
} // namespace Model
} // namespace MachineLearning
} // namespace Aws