public static FloatFactorTable GetFloatFactorTable(float[][] weights, int[][] data, IList <IIndex <CRFLabel> > labelIndices, int numClasses)
{
FloatFactorTable factorTable = null;
for (int j = 0; j < labelIndices.Count; j++)
{
IIndex <CRFLabel> labelIndex = labelIndices[j];
FloatFactorTable ft = new FloatFactorTable(numClasses, j + 1);
// ...and each possible labeling for that clique
for (int k = 0; k < labelIndex.Size(); k++)
{
int[] label = labelIndex.Get(k).GetLabel();
float weight = 0.0f;
for (int m = 0; m < data[j].Length; m++)
{
//log.info("**"+weights[data[j][m]][k]);
weight += weights[data[j][m]][k];
}
ft.SetValue(label, weight);
}
//log.info(">>"+ft);
//log.info("::"+ft);
if (j > 0)
{
ft.MultiplyInEnd(factorTable);
}
//log.info("::"+ft);
factorTable = ft;
}
return(factorTable);
}
public static FloatFactorTable[] GetCalibratedCliqueTree(float[][] weights, int[][][] data, IList <IIndex <CRFLabel> > labelIndices, int numClasses)
{
// for (int i = 0; i < weights.length; i++) {
// for (int j = 0; j < weights[i].length; j++) {
// log.info(i+" "+j+": "+weights[i][j]);
// }
// }
//log.info("calibrating clique tree");
FloatFactorTable[] factorTables = new FloatFactorTable[data.Length];
FloatFactorTable[] messages = new FloatFactorTable[data.Length - 1];
for (int i = 0; i < data.Length; i++)
{
factorTables[i] = GetFloatFactorTable(weights, data[i], labelIndices, numClasses);
if (Verbose)
{
log.Info(i + ": " + factorTables[i]);
}
if (i > 0)
{
messages[i - 1] = factorTables[i - 1].SumOutFront();
if (Verbose)
{
log.Info(messages[i - 1]);
}
factorTables[i].MultiplyInFront(messages[i - 1]);
if (Verbose)
{
log.Info(factorTables[i]);
if (i == data.Length - 1)
{
log.Info(i + ": " + factorTables[i].ToProbString());
}
}
}
}
for (int i_1 = factorTables.Length - 2; i_1 >= 0; i_1--)
{
FloatFactorTable summedOut = factorTables[i_1 + 1].SumOutEnd();
if (Verbose)
{
log.Info((i_1 + 1) + "-->" + i_1 + ": " + summedOut);
}
summedOut.DivideBy(messages[i_1]);
if (Verbose)
{
log.Info((i_1 + 1) + "-->" + i_1 + ": " + summedOut);
}
factorTables[i_1].MultiplyInEnd(summedOut);
if (Verbose)
{
log.Info(i_1 + ": " + factorTables[i_1]);
log.Info(i_1 + ": " + factorTables[i_1].ToProbString());
}
}
return(factorTables);
}