private static void DatasetCsvToFinalCsv(DatasetCsv dataset, StatisticalResultCsv finalResult)
{
finalResult.Length = dataset.CsLength;
finalResult.Degredome = dataset.Degradome;
finalResult.Dataset = dataset.Name;
finalResult.Transformation = dataset.Transformation;
}
private static void PairCsvToFinalCsv(PairwiseComparisonCsv pairCsv, StatisticalResultCsv finalResult)
{
finalResult.File = pairCsv.File;
finalResult.group_count = pairCsv.group_count;
finalResult.Oneway = pairCsv.Oneway;
finalResult.pair_count = pairCsv.pair_count;
finalResult.significant_pairs = pairCsv.significant_pairs;
finalResult.significant_rate = pairCsv.significant_rate;
}
public static StatisticalResultCsv[] AttachCompactness(AlgorithmCsv algorithm, DatasetCsv dataset)
{
List <StatisticalResultCsv> final_results = new List <StatisticalResultCsv>();
double best_sr = 0;
double min_compact = 0;
int min_compact_at = 0;
string current_folder = $"{Config.WorkingFolder}\\{algorithm.Name}\\{dataset.Name}\\";
var dataType = FeatureTypeExtension.FromString(dataset.Feature);
PairwiseComparisonCsv[] pairwiseResults = CsvContext.ReadFile <PairwiseComparisonCsv>(current_folder + Config.PairwiseComparisonCsv);
if (pairwiseResults.Length == 0)
{
return(OutputResults(final_results, algorithm.Name, dataset.Name));
}
best_sr = pairwiseResults[0].significant_rate;
min_compact = GetCompactness(current_folder + "\\individuals\\" + pairwiseResults[0].File, dataset);
PairwiseComparisonCsv[] best_pairwiseResults = pairwiseResults.Where(c => c.significant_rate == best_sr).ToArray();
for (int i = 0; i < best_pairwiseResults.Length; i++)
{
//double compact =
StatisticalResultCsv finalResult = new StatisticalResultCsv();
finalResult.DataType = dataType.ToString();
finalResult.Method = algorithm.Name;
DatasetCsvToFinalCsv(dataset, finalResult);
PairCsvToFinalCsv(best_pairwiseResults[i], finalResult);
finalResult.Compactness = GetCompactness(current_folder + "\\individuals\\" + best_pairwiseResults[i].File, dataset);
if (finalResult.Compactness < min_compact)
{
min_compact = finalResult.Compactness;
min_compact_at = i;
}
final_results.Add(finalResult);
}
final_results[min_compact_at].Best = true;
for (int i = best_pairwiseResults.Length; i < best_pairwiseResults.Length + 5 && i < pairwiseResults.Length; i++)
{
StatisticalResultCsv finalResult = new StatisticalResultCsv();
finalResult.DataType = dataType.ToString();
finalResult.Method = algorithm.Name;
DatasetCsvToFinalCsv(dataset, finalResult);
PairCsvToFinalCsv(pairwiseResults[i], finalResult);
finalResult.Compactness = GetCompactness(current_folder + "\\individuals\\" + pairwiseResults[i].File, dataset);
final_results.Add(finalResult);
}
return(OutputResults(final_results, algorithm.Name, dataset.Name));
}
