kathirvalavakumar_subavathi_init.hpp

Go to the documentation of this file.

 
#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::Mat<eT>& W)
  {
    arma::Row<eT> b = s * arma::sqrt(3 / (W.n_rows * dataSum));
    const double theta = b.min();
    RandomInitialization randomInit(-theta, theta);
    randomInit.Initialize(W);
  }
 
  template<typename eT>
  void Initialize(arma::Cube<eT>& W,
                  const size_t rows,
                  const size_t cols,
                  const size_t slices)
  {
    if (W.is_empty())
      W.set_size(rows, cols, slices);
 
    for (size_t i = 0; i < slices; ++i)
      Initialize(W.slice(i), rows, cols);
  }
 
  template<typename eT>
  void Initialize(arma::Cube<eT>& W)
  {
    if (W.is_empty())
      Log::Fatal << "Cannot initialize an empty cube." << std::endl;
 
    for (size_t i = 0; i < W.n_slices; ++i)
      Initialize(W.slice(i));
  }
 
 private:
  arma::rowvec dataSum;
 
  double s;
}; // class KathirvalavakumarSubavathiInitialization
 
template<>
class InitTraits<KathirvalavakumarSubavathiInitialization>
{
 public:
  static const bool UseLayer = false;
};
 
 
} // namespace ann
} // namespace mlpack
 
#endif