bayesian_linear_regression_impl.hpp

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#ifndef MLPACK_METHODS_BAYESIAN_LINEAR_REGRESSION_IMPL_HPP
#define MLPACK_METHODS_BAYESIAN_LINEAR_REGRESSION_IMPL_HPP

#include "bayesian_linear_regression.hpp"

namespace mlpack {
namespace regression {

template<typename Archive>
void BayesianLinearRegression::serialize(Archive& ar,
                                         const uint32_t /* version */)
{
  ar(CEREAL_NVP(centerData));
  ar(CEREAL_NVP(scaleData));
  ar(CEREAL_NVP(maxIterations));
  ar(CEREAL_NVP(tolerance));
  ar(CEREAL_NVP(dataOffset));
  ar(CEREAL_NVP(dataScale));
  ar(CEREAL_NVP(responsesOffset));
  ar(CEREAL_NVP(alpha));
  ar(CEREAL_NVP(beta));
  ar(CEREAL_NVP(gamma));
  ar(CEREAL_NVP(omega));
  ar(CEREAL_NVP(matCovariance));
}

} // namespace regression
} // namespace mlpack

#endif