kathirvalavakumar_subavathi_init.hpp

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#ifndef MLPACK_METHODS_ANN_INIT_RULES_KATHIRVALAVAKUMAR_SUBAVATHI_INIT_HPP
#define MLPACK_METHODS_ANN_INIT_RULES_KATHIRVALAVAKUMAR_SUBAVATHI_INIT_HPP

#include <mlpack/prereqs.hpp>

#include "init_rules_traits.hpp"
#include "random_init.hpp"

#include <mlpack/methods/ann/activation_functions/logistic_function.hpp>

#include <iostream>

namespace mlpack {
namespace ann  {

class KathirvalavakumarSubavathiInitialization
{
 public:
  template<typename eT>
  KathirvalavakumarSubavathiInitialization(const arma::Mat<eT>& data,
                                           const double s) : s(s)
  {
    dataSum = arma::sum(data % data);
  }

  template<typename eT>
  void Initialize(arma::Mat<eT>& W, const size_t rows, const size_t cols)
  {
    arma::Row<eT> b = s * arma::sqrt(3 / (rows * dataSum));
    const double theta = b.min();
    RandomInitialization randomInit(-theta, theta);
    randomInit.Initialize(W, rows, cols);
  }

  template<typename eT>
  void Initialize(arma::Cube<eT>& W,
                  const size_t rows,
                  const size_t cols,
                  const size_t slices)
  {
    W = arma::Cube<eT>(rows, cols, slices);

    for (size_t i = 0; i < slices; i++)
      Initialize(W.slice(i), rows, cols);
  }

 private:
  arma::rowvec dataSum;

  double s;
}; // class KathirvalavakumarSubavathiInitialization

template<>
class InitTraits<KathirvalavakumarSubavathiInitialization>
{
 public:
  static const bool UseLayer = false;
};


} // namespace ann
} // namespace mlpack

#endif