float CMlStaticStructLearn::ScoreDAG(CDAG* pDAG, floatVector* familyScore)
{
    familyScore->clear();
    intVector vFamily;
    float fscore, score = 0.0f;
    if (m_ScoreMethod == MarLh)
    {
        score = 1.0f;
    }
    for(int i=0; i<m_nNodes; i++)
    {
        vFamily.clear();
        pDAG->GetParents(i, &vFamily);
        vFamily.push_back(i);
        fscore = ScoreFamily(vFamily);
        familyScore->push_back(fscore);
        if (m_ScoreMethod == MarLh)
        {
            score *= fscore;
        }
        else
        {
            score += fscore;
        }
    }
    return score;
}
void CMlStaticStructLearnHC::LearnInOneStart(CDAG* InitDag, 
					CDAG** LearnedDag, float* LearnedScore)
{
	int		i, j, step=0;
	bool	progress = true;
	CDAG*	iDAG = InitDag->Clone();
	floatVector FamilyScore;
	float init_score = ScoreDAG(iDAG, &FamilyScore);
	int			nValidMoves;
	EDGEOPVECTOR vValidMoves;
	EDGEOP      move;
	intVector   newFamily;
	intVector	vAncestor, vDescent;
	intVector	vDiscrete, vContinuous;
	int			start, end, position;
	const CNodeType* nt;
	for(i=0; i<m_nNodes; i++)
	{
		nt = m_pGrModel->GetNodeType(i);
		if( nt->IsDiscrete() )
			vDiscrete.push_back(i);
		else
			vContinuous.push_back(i);
	}
	vAncestor.assign(m_vAncestor.begin(), m_vAncestor.end());
	vDescent.assign(m_vDescent.begin(), m_vDescent.end());
	
	while ( step<m_nSteps && progress )
	{
		iDAG->GetAllValidMove(&vValidMoves,&vDiscrete, &vContinuous, &vDescent, &vAncestor);
		nValidMoves = vValidMoves.size();
		float tmp_score, max_score = 0.0f;
		float tmp_start, max_start = 0.0f;
		float tmp_end, max_end = 0.0f;
		int   max_index = 0;
		for(i=0; i<nValidMoves; i++) 
		{
			newFamily.clear();
			move = vValidMoves[i];
			switch (move.DAGChangeType)
			{
			case DAG_DEL : 
				start = move.originalEdge.startNode;
				end = move.originalEdge.endNode;
				iDAG->GetParents(end, &newFamily);
				newFamily.push_back(end);
				position = std::find(newFamily.begin(), newFamily.end(), start)
					       - newFamily.begin();
				newFamily.erase(newFamily.begin()+position);

				tmp_score = ScoreFamily(newFamily) - FamilyScore[end];
				if(tmp_score > max_score)
				{
					max_score = tmp_score;
					max_index = i;
				}
				break;

			case DAG_ADD :
				start = move.originalEdge.startNode;
				end = move.originalEdge.endNode;
				iDAG->GetParents(end, &newFamily);
				position = newFamily.size();
				for(j=0; j<newFamily.size(); j++)
				{
					if(start<newFamily[j])
					{
						position = j;
						break;
					}
				}
				if(position == int(newFamily.size()))
					newFamily.push_back(start);
				else
					newFamily.insert(newFamily.begin()+position, start);		
				newFamily.push_back(end);
				if(newFamily.size() > (m_nMaxFanIn+1))
					break;
				tmp_score = ScoreFamily(newFamily) - FamilyScore[end];
				if(tmp_score > max_score)
				{
					max_score = tmp_score;
					max_index = i;
				}
				break;

			case DAG_REV :
				start = move.originalEdge.startNode;
				end = move.originalEdge.endNode;
				iDAG->GetParents(start, &newFamily); //add an edge
				position = newFamily.size();
				for(j=0; j<newFamily.size(); j++)
				{
					if(end<newFamily[j])
					{
						position = j;
						break;
					}
				}
				if(position == int(newFamily.size()))
					newFamily.push_back(end);
				else
					newFamily.insert(newFamily.begin()+position, end);		
				newFamily.push_back(start);
				if(newFamily.size() > (m_nMaxFanIn+1))
					break;
				tmp_score = ScoreFamily(newFamily) - FamilyScore[start];
				tmp_start = tmp_score;

				start = move.originalEdge.startNode;
				end = move.originalEdge.endNode;
				iDAG->GetParents(end, &newFamily);
				newFamily.push_back(end);
				position = std::find(newFamily.begin(), newFamily.end(), start)
					       - newFamily.begin();
				newFamily.erase(newFamily.begin()+position);

				tmp_score = ScoreFamily(newFamily) - FamilyScore[end];
				tmp_end = tmp_score;
				tmp_score = tmp_start + tmp_end;
				if(tmp_score > max_score)
				{
					max_score = tmp_score;
					max_start = tmp_start;
					max_end   = tmp_end;
					max_index = i;
				}
				break;
			}
		}

		float score_gate = (float)fabs(m_minProgress * init_score);
		if(max_score <= score_gate)
		{
			vValidMoves.clear();
			progress = false;
			break;
		}

		move = vValidMoves[max_index];
		start = move.originalEdge.startNode;
		end = move.originalEdge.endNode;
		switch (move.DAGChangeType)
		{
		case DAG_DEL :
			if(iDAG->DoMove(start, end, DAG_DEL))
			{ 
				init_score += max_score;
				FamilyScore[end] += max_score;
			}
			break;

		case DAG_ADD :
			if(iDAG->DoMove(start, end, DAG_ADD))
			{
				init_score += max_score;
				FamilyScore[end] += max_score;
			}
			break;

		case DAG_REV :
			if(iDAG->DoMove(start, end, DAG_REV))
			{
				init_score += max_score;
				FamilyScore[start] += max_start;
				FamilyScore[end] += max_end;
			}
			break;
		}
		vValidMoves.clear();
		step++;
	}

	*LearnedScore = this->ScoreDAG(iDAG, &FamilyScore);
	*LearnedDag = iDAG->Clone();
	delete iDAG;
}