sparse_coding.hpp

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#ifndef MLPACK_METHODS_SPARSE_CODING_SPARSE_CODING_HPP
#define MLPACK_METHODS_SPARSE_CODING_SPARSE_CODING_HPP

#include <mlpack/prereqs.hpp>
#include <mlpack/methods/lars/lars.hpp>

// Include our three simple dictionary initializers.
#include "nothing_initializer.hpp"
#include "data_dependent_random_initializer.hpp"
#include "random_initializer.hpp"

namespace mlpack {
namespace sparse_coding {

class SparseCoding
{
 public:
  template<typename DictionaryInitializer = DataDependentRandomInitializer>
  SparseCoding(const arma::mat& data,
               const size_t atoms,
               const double lambda1,
               const double lambda2 = 0,
               const size_t maxIterations = 0,
               const double objTolerance = 0.01,
               const double newtonTolerance = 1e-6,
               const DictionaryInitializer& initializer =
                   DictionaryInitializer());

  SparseCoding(const size_t atoms = 0,
               const double lambda1 = 0,
               const double lambda2 = 0,
               const size_t maxIterations = 0,
               const double objTolerance = 0.01,
               const double newtonTolerance = 1e-6);

  template<typename DictionaryInitializer = DataDependentRandomInitializer>
  double Train(const arma::mat& data,
               const DictionaryInitializer& initializer =
                   DictionaryInitializer());

  void Encode(const arma::mat& data, arma::mat& codes);

  double OptimizeDictionary(const arma::mat& data,
                            const arma::mat& codes,
                            const arma::uvec& adjacencies);

  void ProjectDictionary();

  double Objective(const arma::mat& data, const arma::mat& codes) const;

  const arma::mat& Dictionary() const { return dictionary; }
  arma::mat& Dictionary() { return dictionary; }

  size_t Atoms() const { return atoms; }
  size_t& Atoms() { return atoms; }

  double Lambda1() const { return lambda1; }
  double& Lambda1() { return lambda1; }

  double Lambda2() const { return lambda2; }
  double& Lambda2() { return lambda2; }

  size_t MaxIterations() const { return maxIterations; }
  size_t& MaxIterations() { return maxIterations; }

  double ObjTolerance() const { return objTolerance; }
  double& ObjTolerance() { return objTolerance; }

  double NewtonTolerance() const { return newtonTolerance; }
  double& NewtonTolerance() { return newtonTolerance; }

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

 private:
  size_t atoms;

  arma::mat dictionary;

  double lambda1;
  double lambda2;

  size_t maxIterations;
  double objTolerance;
  double newtonTolerance;
};

} // namespace sparse_coding
} // namespace mlpack

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

#endif