densitytreemixturepdf.hpp

dysii是一款非常出色的滤波函数库

#ifndef INDII_ML_AUX_DENSITYTREEMIXTUREPDF_HPP
#define INDII_ML_AUX_DENSITYTREEMIXTUREPDF_HPP

#include "StandardMixturePdf.hpp"
#include "DensityTreePdf.hpp"

namespace indii {
  namespace ml {
    namespace aux {
/**
 * Density tree mixture probability density.
 *
 * @author Lawrence Murray <[e-mail]>
 * @version $Rev: 404 $
 * @date $Date: 2008-03-05 14:52:55 +0000 (Wed, 05 Mar 2008) $
 *
 * @see MixturePdf for more information regarding the serialization
 * and parallelisation features of this class.
 */
class DensityTreeMixturePdf : public StandardMixturePdf<DensityTreePdf> {
public:
  /**
   * Default constructor.
   *
   * Initialises the mixture with zero dimensions. This should
   * generally only be used when the object is to be restored from a
   * serialization. Indeed, there is no other way to resize the
   * mixture to nonzero dimensionality except by subsequently
   * restoring from a serialization.
   */
  DensityTreeMixturePdf();

  /**
   * Constructor. One or more components should be added with
   * addComponent() after construction.
   *
   * @param N Dimensionality of the distribution.
   */
  DensityTreeMixturePdf(const unsigned int N);

  /**
   * Destructor.
   */
  virtual ~DensityTreeMixturePdf();

  /**
   * Not supported.
   *
   * @see Pdf::setDimensions()
   */
  virtual void setDimensions(const unsigned int N,
      const bool preserve = false);

private:
  /**
   * Serialize or restore from serialization.
   */
  template<class Archive>
  void serialize(Archive& ar, const unsigned int version);

  /*
   * Boost.Serialization requirements.
   */
  friend class boost::serialization::access;

};

    }
  }
}

#include "boost/serialization/base_object.hpp"

template <class Archive>
void indii::ml::aux::DensityTreeMixturePdf::serialize(Archive& ar,
    const unsigned int version) {
  ar & boost::serialization::base_object<
      indii::ml::aux::StandardMixturePdf<indii::ml::aux::DensityTreePdf> >(
      *this);
}

#endif