huber_loss.hpp

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#ifndef MLPACK_METHODS_ANN_LOSS_FUNCTION_HUBER_LOSS_HPP
#define MLPACK_METHODS_ANN_LOSS_FUNCTION_HUBER_LOSS_HPP

#include <mlpack/prereqs.hpp>

namespace mlpack {
namespace ann  {

template <
    typename InputDataType = arma::mat,
    typename OutputDataType = arma::mat
>
class HuberLoss
{
 public:
  HuberLoss(const double delta = 1.0, const bool mean = 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; }

  double Delta() const { return delta; }
  double& Delta() { return delta; }

  bool Mean() const { return mean; }
  bool& Mean() { return mean; }

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

 private:
  OutputDataType outputParameter;

  double delta;

  bool mean;
}; // class HuberLoss

} // namespace ann
} // namespace mlpack

// Include implementation.
#include "huber_loss_impl.hpp"

#endif