public void read(string a, string b)
{
//features
string[] lineAry = a.Split(Global.lineEndAry, StringSplitOptions.RemoveEmptyEntries);
foreach (string im in lineAry)
{
List <featureTemp> nodeList = new List <featureTemp>();
string[] imAry = im.Split(Global.commaAry, StringSplitOptions.RemoveEmptyEntries);
foreach (string imm in imAry)
{
if (imm.Contains("/"))
{
string[] biAry = imm.Split(Global.slashAry, StringSplitOptions.RemoveEmptyEntries);
featureTemp ft = new featureTemp(int.Parse(biAry[0]), double.Parse(biAry[1]));
nodeList.Add(ft);
}
else
{
featureTemp ft = new featureTemp(int.Parse(imm), 1);
nodeList.Add(ft);
}
}
featureTemps.Add(nodeList);
}
//yGold
lineAry = b.Split(Global.commaAry, StringSplitOptions.RemoveEmptyEntries);
foreach (string im in lineAry)
{
yGold.Add(int.Parse(im));
}
}
//return the gradient of -log{P(y*|x,w)} as follows: E_{P(y|x)}(F(x,y)) - F(x,y*)
virtual public double getGrad(List <double> vecGrad, model m, dataSeq x, baseHashSet <int> idSet)
{
if (idSet != null)
{
idSet.Clear();
}
int nTag = m.NTag;
//compute beliefs
belief bel = new belief(x.Count, nTag);
belief belMasked = new belief(x.Count, nTag);
_inf.getBeliefs(bel, m, x, false);
_inf.getBeliefs(belMasked, m, x, true);
double ZGold = belMasked.Z;
double Z = bel.Z;
List <featureTemp> fList;
for (int i = 0; i < x.Count; i++)
{
fList = _fGene.getFeatureTemp(x, i);
for (int j = 0; j < fList.Count; j++)
{
featureTemp im = fList[j];
int id = im.id;
double v = im.val;
for (int s = 0; s < nTag; s++)
{
int f = _fGene.getNodeFeatID(id, s);
if (idSet != null)
{
idSet.Add(f);
}
vecGrad[f] += bel.belState[i][s] * v;
vecGrad[f] -= belMasked.belState[i][s] * v;
}
}
}
for (int i = 1; i < x.Count; i++)
{
for (int s = 0; s < nTag; s++)
{
for (int sPre = 0; sPre < nTag; sPre++)
{
int f = _fGene.getEdgeFeatID(sPre, s);
if (idSet != null)
{
idSet.Add(f);
}
vecGrad[f] += bel.belEdge[i][sPre, s];
vecGrad[f] -= belMasked.belEdge[i][sPre, s];
}
}
}
return(Z - ZGold);
}
//the scalar version
virtual public void getLogYY(double scalar, model m, dataSeq x, int i, ref dMatrix YY, ref List <double> Y, bool takeExp, bool mask)
{
YY.set(0);
listTool.listSet(ref Y, 0);
List <double> w = m.W;
List <featureTemp> fList = _fGene.getFeatureTemp(x, i);
int nTag = m.NTag;
for (int j = 0; j < fList.Count; j++)
{
featureTemp ptr = fList[j];
int id = ptr.id;
double v = ptr.val;
for (int s = 0; s < nTag; s++)
{
int f = _fGene.getNodeFeatID(id, s);
Y[s] += w[f] * scalar * v;
}
}
if (i > 0)
{
for (int s = 0; s < nTag; s++)
{
for (int sPre = 0; sPre < nTag; sPre++)
{
int f = _fGene.getEdgeFeatID(sPre, s);
YY[sPre, s] += w[f] * scalar;
}
}
}
double maskValue = double.MinValue;
if (takeExp)
{
listTool.listExp(ref Y);
YY.eltExp();
maskValue = 0;
}
if (mask)
{
List <int> tagList = x.getTags();
for (int s = 0; s < Y.Count; s++)
{
if (tagList[i] != s)
{
Y[s] = maskValue;
}
}
}
}
