UpdateMLModelRequest.h

 
#pragma once
#include <aws/core/utils/memory/stl/AWSString.h>
#include <aws/machinelearning/MachineLearningRequest.h>
#include <aws/machinelearning/MachineLearning_EXPORTS.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;
 
  Aws::String m_mLModelName;
 
  double m_scoreThreshold{0.0};
  bool m_mLModelIdHasBeenSet = false;
  bool m_mLModelNameHasBeenSet = false;
  bool m_scoreThresholdHasBeenSet = false;
};
 
}  // namespace Model
}  // namespace MachineLearning
}  // namespace Aws