public SortedDictionary<string, double> Calculate(TLSimilarityMatrix resultMatrix, TLDataset dataset)
{
var answerSet = dataset.AnswerSet;
var sourceArtifacts = dataset.SourceArtifacts;
SortedDictionary<string, double> metricValues = new SortedDictionary<string, double>();
resultMatrix.Threshold = m_threshold;
foreach (TLArtifact sourceArtifact in sourceArtifacts.Values)
{
int numberOfRetrieved = resultMatrix.GetCountOfLinksAboveThresholdForSourceArtifact(sourceArtifact.Id);
double precision = 0.0;
if (numberOfRetrieved > 0)
{
TLLinksList resultsListForArtifact = resultMatrix.GetLinksAboveThresholdForSourceArtifact(sourceArtifact.Id);
resultsListForArtifact.Sort();
int numberOfCorrectlyRetrieved = 0;
foreach (TLSingleLink link in resultsListForArtifact)
{
//check if this is relevant link
if (answerSet.IsLinkAboveThreshold(link.SourceArtifactId, link.TargetArtifactId))
{
numberOfCorrectlyRetrieved++;
}
}
precision = (double)numberOfCorrectlyRetrieved / numberOfRetrieved;
metricValues.Add(sourceArtifact.Id, precision);
}
}
resultMatrix.Threshold = 0.0;
return metricValues;
}
public static double Calculate(string sourceArtifactId, TLLinksList resultList, TLSimilarityMatrix answerMatrix)
{
resultList.Sort();
int correct = 0;
Double totalAvgPrecision = 0.0;
int totalDocumentsRead = 0;
foreach (TLSingleLink link in resultList)
{
totalDocumentsRead++;
//check if this is relevant link
if (answerMatrix.IsLinkAboveThreshold(link.SourceArtifactId, link.TargetArtifactId))
{
correct++;
Double precisionAtCurrentIteration = (double)correct / totalDocumentsRead;
totalAvgPrecision += precisionAtCurrentIteration;
}
}
int numberOfRelevant = answerMatrix.GetCountOfLinksAboveThresholdForSourceArtifact(sourceArtifactId);
return totalAvgPrecision;
}
