/// <summary>
/// Computes the score for the given current results.
/// </summary>
/// <param name="baselineMatrices">The baseline matrices.</param>
/// <param name="currentResults">The current results.</param>
/// <returns></returns>
public static double ComputeScore(TLSimilarityMatricesCollection baselineMatrices, TLSimilarityMatricesCollection currentResultsMatrices,
TLDatasetsList datasets, MetricComputationComponentConfig config)
{
double score = 0.0;
double sum = 0;
double counts = 0;
IMetricComputation metricComputation = GetMetricComputation(config);
foreach (TLDataset dataset in datasets)
{
TLSimilarityMatrix baseline = baselineMatrices[dataset.Name];
TLSimilarityMatrix current = currentResultsMatrices[dataset.Name];
//score is computed based on delta between two techniques from metric computation
SortedDictionary <string, double> baselineValues = metricComputation.Calculate(baseline, dataset);
SortedDictionary <string, double> currentValues = metricComputation.Calculate(current, dataset);
var deltas = ScoreComputationHelper.Delta(baselineValues, currentValues);
//now compute average of computed deltas, and that's the score
foreach (double delta in deltas.Values)
{
sum += delta;
}
counts += deltas.Count;
}
score = sum / counts;
return(score);
}
private List <double> PrepareDataForWilcox(SingleTracingResults techniqueOneResults, SingleTracingResults techniqueTwoResults, TLDataset dataset)
{
var avePrec1 = (SortedDictionary <string, double>)m_baseMetricComputation.Calculate(techniqueOneResults.ResultMatrix, dataset);
var avePrec2 = (SortedDictionary <string, double>)m_baseMetricComputation.Calculate(techniqueTwoResults.ResultMatrix, dataset);
var deltas = ScoreComputationHelper.Delta(avePrec1, avePrec2);
return(deltas.Values.ToList());
}