private String PartialCreditIdxToStr(PartialCreditIdx idx)
{
String s = "None";
switch (idx)
{
case PartialCreditIdx.None: s = "None"; break;
case PartialCreditIdx.Whole: s = "Whole"; break;
case PartialCreditIdx.OneHalf: s = "OneHalf"; break;
case PartialCreditIdx.OneThird: s = "OneThird"; break;
case PartialCreditIdx.TwoThirds: s = "TwoThirds"; break;
case PartialCreditIdx.OneForth: s = "OneForth"; break;
case PartialCreditIdx.TwoForths: s = "TwoForths"; break;
case PartialCreditIdx.ThreeForths: s = "ThreeForths"; break;
}
return(s);
}
private void MakePrediction(Prediction p)
{
String rootName = OSservices.GetRootName(p.FileName);
PicesClass knownClassPredLevel = p.knowClass.MLClassForGivenHierarchialLevel(predLevel);
PicesClass predClassPredLevel = p.predClass.MLClassForGivenHierarchialLevel(predLevel);
int knowClassIdx = classesPredLevel.LookUpIndex(knownClassPredLevel);
int predClassIdx = classesPredLevel.LookUpIndex(predClassPredLevel);
int exactMatch = 0;
float partialCredit = 0.0f;
if (knowClassIdx == predClassIdx)
{
partialCredit = 1.0f;
exactMatch = 1;
}
else
{
partialCredit = FractionThatIsAMatch2(knownClassPredLevel, predClassPredLevel);
}
PartialCreditIdx pcIdx = DerivePartialCreditIdx(partialCredit);
totalByCorectLevel[(int)pcIdx]++;
totalCount++;
totalCorrect += partialCredit;
totalCorrectNPC += exactMatch;
if (!p.partOfClassifier)
{
totalNotPartOfClassifier++;
}
else
{
totalPartOfClassifier++;
totalPartOfClassifierByCorectLevel[(int)pcIdx]++;
totalPartOfClassifierCorrect += partialCredit;
totalPartOfClassifierCorrectNPC += exactMatch;
if (p.knowClass.UnDefined)
{
totalNoise++;
totalNoiseCorrect += partialCredit;
totalNoiseCorrectNPC += exactMatch;
}
else
{
totalNonNoise++;
totalNonNoiseCorrect += partialCredit;
totalNonNoiseCorrectNPC += exactMatch;
}
}
if (knowClassIdx < 0)
{
MessageBox.Show("Invalid Class Specified[" + p.knowClass.Name + "]");
return;
}
if (predClassIdx < 0)
{
MessageBox.Show("Invalid Class Specified[" + p.predClass.Name + "]");
return;
}
knownClassCounts[knowClassIdx]++;
predClassCounts [predClassIdx]++;
predictionCounts[knowClassIdx][predClassIdx]++;
try { imagesByPred[knowClassIdx][predClassIdx].Add(rootName, p); }
catch (Exception e)
{
MessageBox.Show(this, "Exception occurred adding example[" + rootName + "]" + "\n" +
"Known Class[" + p.knowClass.Name + "] Pred Class[" + p.predClass.Name + "]" + "\n" +
"Exception [" + e.ToString() + "]" + "\n" +
e.StackTrace,
"Confusion Matrix",
MessageBoxButtons.OK
);
}
} /* MakePrediction */
