auxfactor.h

/*
 * All of the documentation and software included in the
 * Alchemy Software is copyrighted by Stanley Kok, Parag
 * Singla, Matthew Richardson, Pedro Domingos, Marc
 * Sumner, Hoifung Poon, Daniel Lowd, and Jue Wang.
 * 
 * Copyright [2004-09] Stanley Kok, Parag Singla, Matthew
 * Richardson, Pedro Domingos, Marc Sumner, Hoifung
 * Poon, Daniel Lowd, and Jue Wang. All rights reserved.
 * 
 * Contact: Pedro Domingos, University of Washington
 * (pedrod@cs.washington.edu).
 * 
 * Redistribution and use in source and binary forms, with
 * or without modification, are permitted provided that
 * the following conditions are met:
 * 
 * 1. Redistributions of source code must retain the above
 * copyright notice, this list of conditions and the
 * following disclaimer.
 * 
 * 2. Redistributions in binary form must reproduce the
 * above copyright notice, this list of conditions and the
 * following disclaimer in the documentation and/or other
 * materials provided with the distribution.
 * 
 * 3. All advertising materials mentioning features or use
 * of this software must display the following
 * acknowledgment: "This product includes software
 * developed by Stanley Kok, Parag Singla, Matthew
 * Richardson, Pedro Domingos, Marc Sumner, Hoifung
 * Poon, Daniel Lowd, and Jue Wang in the Department of
 * Computer Science and Engineering at the University of
 * Washington".
 * 
 * 4. Your publications acknowledge the use or
 * contribution made by the Software to your research
 * using the following citation(s): 
 * Stanley Kok, Parag Singla, Matthew Richardson and
 * Pedro Domingos (2005). "The Alchemy System for
 * Statistical Relational AI", Technical Report,
 * Department of Computer Science and Engineering,
 * University of Washington, Seattle, WA.
 * http://alchemy.cs.washington.edu.
 * 
 * 5. Neither the name of the University of Washington nor
 * the names of its contributors may be used to endorse or
 * promote products derived from this software without
 * specific prior written permission.
 * 
 * THIS SOFTWARE IS PROVIDED BY THE UNIVERSITY OF WASHINGTON
 * AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED
 * WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
 * PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE UNIVERSITY
 * OF WASHINGTON OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT,
 * INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
 * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
 * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
 * PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
 * ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
 * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
 * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN
 * IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 * 
 */
#ifndef AUXFACTOR_H_
#define AUXFACTOR_H_

#include "factor.h"

class AuxFactor : public Factor
{
 public:
  AuxFactor(Array<Predicate* >* formula)
  {
    msgsArr_ = new Array<double *>;
    nextMsgsArr_ = new Array<double *>;
    links_ = new Array<Link *>();
    formula_ = formula;
  }
          
  ~AuxFactor()
  {
    for (int i = 0; i < msgsArr_->size(); i++)
    {
      delete (*msgsArr_)[i];
      delete (*nextMsgsArr_)[i];
    }
    delete links_;
    delete msgsArr_;
    delete nextMsgsArr_;
  }

  double getProb()
  {
    Node* node;
    double prob = 1.0;
    for (int lno = 0; lno < links_->size(); lno++)
    {
      int predIndex = (*links_)[lno]->getPredIndex();
      node = (*links_)[lno]->getNode();
      double probs[2];
      node->getProbs(probs);         

      Predicate *pred = (*formula_)[predIndex];
      if (pred->getSense()) prob *= probs[1];
      else prob *= probs[0];
    }
    return prob;
  }

  Array<Predicate* >* getFormula()
  {
    return formula_;
  }
  
 private:
  Array<Predicate* >* formula_;
  
};




#endif /*AUXFACTOR_H_*/

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