TrainingResult.h

 
#pragma once
#include <aws/frauddetector/FraudDetector_EXPORTS.h>
#include <aws/frauddetector/model/DataValidationMetrics.h>
#include <aws/frauddetector/model/TrainingMetrics.h>
#include <aws/frauddetector/model/VariableImportanceMetrics.h>
#include <utility>
 
namespace Aws
{
namespace Utils
{
namespace Json
{
  class JsonValue;
  class JsonView;
} // namespace Json
} // namespace Utils
namespace FraudDetector
{
namespace Model
{
 
  class TrainingResult
  {
  public:
    AWS_FRAUDDETECTOR_API TrainingResult() = default;
    AWS_FRAUDDETECTOR_API TrainingResult(Aws::Utils::Json::JsonView jsonValue);
    AWS_FRAUDDETECTOR_API TrainingResult& operator=(Aws::Utils::Json::JsonView jsonValue);
    AWS_FRAUDDETECTOR_API Aws::Utils::Json::JsonValue Jsonize() const;
 
 
 
    inline const DataValidationMetrics& GetDataValidationMetrics() const { return m_dataValidationMetrics; }
    inline bool DataValidationMetricsHasBeenSet() const { return m_dataValidationMetricsHasBeenSet; }
    template<typename DataValidationMetricsT = DataValidationMetrics>
    void SetDataValidationMetrics(DataValidationMetricsT&& value) { m_dataValidationMetricsHasBeenSet = true; m_dataValidationMetrics = std::forward<DataValidationMetricsT>(value); }
    template<typename DataValidationMetricsT = DataValidationMetrics>
    TrainingResult& WithDataValidationMetrics(DataValidationMetricsT&& value) { SetDataValidationMetrics(std::forward<DataValidationMetricsT>(value)); return *this;}
 
 
    inline const TrainingMetrics& GetTrainingMetrics() const { return m_trainingMetrics; }
    inline bool TrainingMetricsHasBeenSet() const { return m_trainingMetricsHasBeenSet; }
    template<typename TrainingMetricsT = TrainingMetrics>
    void SetTrainingMetrics(TrainingMetricsT&& value) { m_trainingMetricsHasBeenSet = true; m_trainingMetrics = std::forward<TrainingMetricsT>(value); }
    template<typename TrainingMetricsT = TrainingMetrics>
    TrainingResult& WithTrainingMetrics(TrainingMetricsT&& value) { SetTrainingMetrics(std::forward<TrainingMetricsT>(value)); return *this;}
 
 
    inline const VariableImportanceMetrics& GetVariableImportanceMetrics() const { return m_variableImportanceMetrics; }
    inline bool VariableImportanceMetricsHasBeenSet() const { return m_variableImportanceMetricsHasBeenSet; }
    template<typename VariableImportanceMetricsT = VariableImportanceMetrics>
    void SetVariableImportanceMetrics(VariableImportanceMetricsT&& value) { m_variableImportanceMetricsHasBeenSet = true; m_variableImportanceMetrics = std::forward<VariableImportanceMetricsT>(value); }
    template<typename VariableImportanceMetricsT = VariableImportanceMetrics>
    TrainingResult& WithVariableImportanceMetrics(VariableImportanceMetricsT&& value) { SetVariableImportanceMetrics(std::forward<VariableImportanceMetricsT>(value)); return *this;}
  private:
 
    DataValidationMetrics m_dataValidationMetrics;
    bool m_dataValidationMetricsHasBeenSet = false;
 
    TrainingMetrics m_trainingMetrics;
    bool m_trainingMetricsHasBeenSet = false;
 
    VariableImportanceMetrics m_variableImportanceMetrics;
    bool m_variableImportanceMetricsHasBeenSet = false;
  };
 
} // namespace Model
} // namespace FraudDetector
} // namespace Aws