BayesNet.h

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/* ----------------------------------------------------------------------------
 
* GTSAM Copyright 2010, Georgia Tech Research Corporation,
* Atlanta, Georgia 30332-0415
* All Rights Reserved
* Authors: Frank Dellaert, et al. (see THANKS for the full author list)
 
* See LICENSE for the license information
 
* -------------------------------------------------------------------------- */
 
#pragma once
 
#include <gtsam/inference/FactorGraph.h>
 
#include <memory>
#include <string>
 
namespace gtsam {
 
class HybridValues;
 
template <class CONDITIONAL>
class BayesNet : public FactorGraph<CONDITIONAL> {
 private:
  typedef FactorGraph<CONDITIONAL> Base;
 
 public:
  typedef typename std::shared_ptr<CONDITIONAL>
      sharedConditional;  
 
 protected:
 
  BayesNet() {}
 
  template <typename ITERATOR>
  BayesNet(ITERATOR firstConditional, ITERATOR lastConditional)
      : Base(firstConditional, lastConditional) {}
 
  BayesNet(std::initializer_list<sharedConditional> conditionals)
      : Base(conditionals) {}
 
 
 public:
 
  void print(
      const std::string& s = "BayesNet",
      const KeyFormatter& formatter = DefaultKeyFormatter) const override;
 
 
  void dot(std::ostream& os,
           const KeyFormatter& keyFormatter = DefaultKeyFormatter,
           const DotWriter& writer = DotWriter()) const;
 
  std::string dot(const KeyFormatter& keyFormatter = DefaultKeyFormatter,
                  const DotWriter& writer = DotWriter()) const;
 
  void saveGraph(const std::string& filename,
                 const KeyFormatter& keyFormatter = DefaultKeyFormatter,
                 const DotWriter& writer = DotWriter()) const;
 
 
  // Expose HybridValues version of logProbability.
  double logProbability(const HybridValues& x) const;
 
  // Expose HybridValues version of evaluate.
  double evaluate(const HybridValues& c) const;
 
};
 
}  // namespace gtsam
 
#include <gtsam/inference/BayesNet-inst.h>