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));
}
private static double GetCompactness(string labels_file, DatasetCsv dataset)
{
var dataType = FeatureTypeExtension.FromString(dataset.Feature);
switch (dataType)
{
case FeatureType.Reactivity:
return(GetCompactnessByReactivity(labels_file, dataset));
case FeatureType.RnaDistance:
return(GetCompactnessByRnaDistance(labels_file, dataset));
default:
throw new DataTypeNotSupportedException();
}
}
public static StatisticalResultCsv[] RunIndividual(AlgorithmCsv algorithm, DatasetCsv dataset, int k, bool runScript)
{
List <StatisticalResultCsv> finalResults = new List <StatisticalResultCsv>();
FeatureType dataType = FeatureTypeExtension.FromString(dataset.Feature);
if (runScript)
{
//ProcessExtension.Run("python", $"\"{Config.WorkingFolder}{algorithm.Script}\" {dataset.Name} 10 100");
ProcessExtension.RunScript($"{Config.WorkingFolder}{algorithm.Script}", $"{dataset.Name} 10 100 {k}");
//onewan ANOVA
ProcessExtension.Run("python", $"\"{Config.WorkingFolder}{Config.JobOnewayPy}\" {algorithm.Name} {dataset.Name}");
//pairwise comparison
ProcessExtension.Run("RScript", $"\"{Config.WorkingFolder}{Config.JobPairwiseComparisonR}\" {algorithm.Name} {dataset.Name}");
}
//compactness
string folder = $"{Config.WorkingFolder}{algorithm.Name}\\{dataset.Name}\\";
if (!Directory.Exists(folder))
{
throw new FileNotFoundException();
}
switch (dataType)
{
case FeatureType.Reactivity:
finalResults.AddRange(CSCompactness.AttachCompactness(algorithm, dataset));
break;
case FeatureType.RnaDistance:
finalResults.AddRange(CSCompactness.AttachCompactness(algorithm, dataset));
break;
}
return(finalResults.ToArray());
}