public static StatisticalResultCsv[] Run(string name, string method, int ke, int keep, IEnumerable <StatisticalResultCsv> selectedMembers)
{
string methodFolder = $"{Config.WorkingFolder}\\{name}";
Directory.CreateDirectory(methodFolder);
string candidatesFolder = $"{Config.WorkingFolder}\\{name}\\candidates\\";
Directory.CreateDirectory(candidatesFolder);
foreach (var member in selectedMembers)
{
File.Copy($"{Config.WorkingFolder}\\{member.Method}\\{member.Dataset}\\individuals\\{member.File}", $"{candidatesFolder}\\{member.File}", true);
}
Icas.Common.ProcessExtension.Run("RScript", $"job_ensemble.R {name} {method} {selectedMembers.First().Dataset} {selectedMembers.First().Degredome} {keep}");
FeatureType dt = FeatureType.Reactivity;
FeatureType.TryParse(selectedMembers.First().DataType, out dt);
ProcessExtension.Run("Python", $"{Config.JobOnewayPy} {name} {selectedMembers.First().Dataset}");
ProcessExtension.Run("RScript", $"{Config.JobPairwiseComparisonR} {name} {selectedMembers.First().Dataset}");
AlgorithmCsv algorithm = new AlgorithmCsv();
algorithm.Name = name;
algorithm.Feature = selectedMembers.First().DataType;
DatasetCsv dataset = MiSettings.Datasets.First(c => c.Name == selectedMembers.First().Dataset);
var results = Icas.Clustering.Cluster.RunIndividual(algorithm, new[] { dataset }, false);
Icas.Clustering.Cluster.Summarize(algorithm);
return(results);
}
