public DocumentStatistics[] performInference(UserData user)
{
ie.NumberOfIterations = user.nIters;
ie.ShowProgress = false;
DocumentStatistics[] docStats = new DocumentStatistics[nRanks];
for (int i = 0; i < nRanks; i++)
{
docStats[i] = new DocumentStatistics();
}
nUsers.ObservedValue = user.nUsers;
probNextIfNotClick.ObservedValue = user.probExamine[0];
probNextIfClickNotRel.ObservedValue = user.probExamine[1];
probNextIfClickRel.ObservedValue = user.probExamine[2];
for (int d = 0; d < nRanks; d++)
{
click[d].ObservedValue = user.clicks[d];
}
try
{
for (int d = 0; d < nRanks; d++)
{
docStats[d].inferredRelevance = ie.Infer <Beta>(relevance[d]);
docStats[d].inferredAppeal = ie.Infer <Beta>(appeal[d]);
}
return(docStats);
}
catch (Exception e)
{
Console.WriteLine(e);
return(null);
}
}
private void showResults(DocumentStatistics[] docStats)
{
if (docStats == null)
{
colorInvalid(pictureBoxSummaryDoc1, labelSummaryDoc1.Size);
colorInvalid(pictureBoxSummaryDoc2, labelSummaryDoc2.Size);
colorInvalid(pictureBoxRelDoc1,labelRelDoc1.Size);
colorInvalid(pictureBoxRelDoc2, labelRelDoc2.Size);
return;
}
double summaryDoc1 = docStats[0].inferredAppeal.GetMean();
double summaryDoc2 = docStats[1].inferredAppeal.GetMean();
double relDoc1 = docStats[0].inferredRelevance.GetMean();
double relDoc2 = docStats[1].inferredRelevance.GetMean();
Console.WriteLine("relDoc1 = {0}", relDoc1);
Size curSize = new Size();
curSize.Height = labelSummaryDoc1.Size.Height;
curSize.Width= (int)(summaryDoc1 * labelSummaryDoc1.Size.Width);
colorResults(pictureBoxSummaryDoc1, curSize, summaryDoc1, true);
curSize.Width = (int)(summaryDoc2 *labelSummaryDoc2.Size.Width);
colorResults(pictureBoxSummaryDoc2, curSize, summaryDoc2, true);
curSize.Width = (int)(relDoc1 * labelRelDoc1.Size.Width);
colorResults(pictureBoxRelDoc1, curSize, relDoc1, false);
curSize.Width = (int)(relDoc2 * labelRelDoc2.Size.Width);
colorResults(pictureBoxRelDoc2, curSize, relDoc2, false);
}
public DocumentStatistics[] performInference(UserData user)
{
ie.NumberOfIterations = user.nIters;
Console.WriteLine("No. of Iterations = {0}", user.nIters);
DocumentStatistics[] docStats = new DocumentStatistics[nRanks];
for (int i = 0; i < nRanks; i++)
{
docStats[i] = new DocumentStatistics();
}
nUsers.ObservedValue = user.nUsers;
probNextIfNotClick.ObservedValue = user.probExamine[0];
probNextIfClickNotRel.ObservedValue = user.probExamine[1];
probNextIfClickRel.ObservedValue = user.probExamine[2];
for (int d = 0; d < nRanks; d++)
click[d].ObservedValue = user.clicks[d];
try
{
for (int d = 0; d < nRanks; d++)
{
docStats[d].inferredRelevance = ie.Infer<Beta>(relevance[d]);
docStats[d].inferredAppeal = ie.Infer<Beta>(appeal[d]);
}
return docStats;
}
catch (Exception e)
{
Console.WriteLine(e);
return null;
}
}
