public virtual Edu.Stanford.Nlp.IE.Crf.FactorTable SumOutFront()
{
Edu.Stanford.Nlp.IE.Crf.FactorTable ft = new Edu.Stanford.Nlp.IE.Crf.FactorTable(numClasses, windowSize - 1);
int stride = ft.Size();
for (int i = 0; i < stride; i++)
{
ft.SetValue(i, ArrayMath.LogSum(table, i, table.Length, stride));
}
return(ft);
}
public static void Main(string[] args)
{
int numClasses = 6;
int cliqueSize = 3;
System.Console.Error.Printf("Creating factor table with %d classes and window (clique) size %d%n", numClasses, cliqueSize);
Edu.Stanford.Nlp.IE.Crf.FactorTable ft = new Edu.Stanford.Nlp.IE.Crf.FactorTable(numClasses, cliqueSize);
for (int i = 0; i < numClasses; i++)
{
for (int j = 0; j < numClasses; j++)
{
for (int k = 0; k < numClasses; k++)
{
int[] b = new int[] { i, j, k };
ft.SetValue(b, (i * 4) + (j * 2) + k);
}
}
}
log.Info(ft);
double normalization = 0.0;
for (int i_1 = 0; i_1 < numClasses; i_1++)
{
for (int j = 0; j < numClasses; j++)
{
for (int k = 0; k < numClasses; k++)
{
normalization += ft.UnnormalizedLogProb(new int[] { i_1, j, k });
}
}
}
log.Info("Normalization Z = " + normalization);
log.Info(ft.SumOutFront());
Edu.Stanford.Nlp.IE.Crf.FactorTable ft2 = new Edu.Stanford.Nlp.IE.Crf.FactorTable(numClasses, 2);
for (int i_2 = 0; i_2 < numClasses; i_2++)
{
for (int j = 0; j < numClasses; j++)
{
int[] b = new int[] { i_2, j };
ft2.SetValue(b, i_2 * numClasses + j);
}
}
log.Info(ft2);
// FactorTable ft3 = ft2.sumOutFront();
// log.info(ft3);
for (int i_3 = 0; i_3 < numClasses; i_3++)
{
for (int j = 0; j < numClasses; j++)
{
int[] b = new int[] { i_3, j };
double t = 0;
for (int k = 0; k < numClasses; k++)
{
t += System.Math.Exp(ft.ConditionalLogProbGivenPrevious(b, k));
System.Console.Error.WriteLine(k + "|" + i_3 + ',' + j + " : " + System.Math.Exp(ft.ConditionalLogProbGivenPrevious(b, k)));
}
log.Info(t);
}
}
log.Info("conditionalLogProbGivenFirst");
for (int j_1 = 0; j_1 < numClasses; j_1++)
{
for (int k = 0; k < numClasses; k++)
{
int[] b = new int[] { j_1, k };
double t = 0.0;
for (int i_4 = 0; i_4 < numClasses; i_4++)
{
t += ft.UnnormalizedConditionalLogProbGivenFirst(i_4, b);
System.Console.Error.WriteLine(i_4 + "|" + j_1 + ',' + k + " : " + ft.UnnormalizedConditionalLogProbGivenFirst(i_4, b));
}
log.Info(t);
}
}
log.Info("conditionalLogProbGivenFirst");
for (int i_5 = 0; i_5 < numClasses; i_5++)
{
for (int j = 0; j_1 < numClasses; j_1++)
{
int[] b = new int[] { i_5, j_1 };
double t = 0.0;
for (int k = 0; k < numClasses; k++)
{
t += ft.ConditionalLogProbGivenNext(b, k);
System.Console.Error.WriteLine(i_5 + "," + j_1 + '|' + k + " : " + ft.ConditionalLogProbGivenNext(b, k));
}
log.Info(t);
}
}
numClasses = 2;
Edu.Stanford.Nlp.IE.Crf.FactorTable ft3 = new Edu.Stanford.Nlp.IE.Crf.FactorTable(numClasses, cliqueSize);
ft3.SetValue(new int[] { 0, 0, 0 }, System.Math.Log(0.25));
ft3.SetValue(new int[] { 0, 0, 1 }, System.Math.Log(0.35));
ft3.SetValue(new int[] { 0, 1, 0 }, System.Math.Log(0.05));
ft3.SetValue(new int[] { 0, 1, 1 }, System.Math.Log(0.07));
ft3.SetValue(new int[] { 1, 0, 0 }, System.Math.Log(0.08));
ft3.SetValue(new int[] { 1, 0, 1 }, System.Math.Log(0.16));
ft3.SetValue(new int[] { 1, 1, 0 }, System.Math.Log(1e-50));
ft3.SetValue(new int[] { 1, 1, 1 }, System.Math.Log(1e-50));
Edu.Stanford.Nlp.IE.Crf.FactorTable ft4 = ft3.SumOutFront();
log.Info(ft4.ToNonLogString());
Edu.Stanford.Nlp.IE.Crf.FactorTable ft5 = ft3.SumOutEnd();
log.Info(ft5.ToNonLogString());
}