soft_margin_loss.hpp

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#ifndef MLPACK_ANN_LOSS_FUNCTION_SOFT_MARGIN_LOSS_HPP
#define MLPACK_ANN_LOSS_FUNCTION_SOFT_MARGIN_LOSS_HPP

#include <mlpack/prereqs.hpp>

namespace mlpack {
namespace ann  {

template <
    typename InputDataType = arma::mat,
    typename OutputDataType = arma::mat
>
class SoftMarginLoss
{
 public:
  SoftMarginLoss(const bool reduction = true);

  template<typename PredictionType, typename TargetType>
  typename PredictionType::elem_type Forward(const PredictionType& prediction,
                                             const TargetType& target);

  template<typename PredictionType, typename TargetType, typename LossType>
  void Backward(const PredictionType& prediction,
                const TargetType& target,
                LossType& loss);

  OutputDataType& OutputParameter() const { return outputParameter; }
  OutputDataType& OutputParameter() { return outputParameter; }

  bool Reduction() const { return reduction; }
  bool& Reduction() { return reduction; }

  template<typename Archive>
  void serialize(Archive& ar, const uint32_t version);

 private:
  OutputDataType outputParameter;

  bool reduction;
}; // class SoftMarginLoss

} // namespace ann
} // namespace mlpack

// include implementation.
#include "soft_margin_loss_impl.hpp"

#endif