public static DataTableTypeExtended <classificationReportExpanded> MakeOverviewTable(this classificationReportCollection reportCollection, classificationReportDataComplexContext context, String name = "", String description = "")
{
DataTableTypeExtended <classificationReportExpanded> table = new DataTableTypeExtended <classificationReportExpanded>("overview_" + reportCollection.name, "Aggregate report for experiments ran [" + DateTime.Now.ToShortDateString() + "]");
if (name != "")
{
table.SetAdditionalInfoEntry("Group name", name);
}
if (description != "")
{
table.SetAdditionalInfoEntry("Group desc", description);
}
table.SetDescription(reportCollection.description);
table.SetAdditionalInfoEntry("Path", reportCollection.rootPath, "Path of the collection");
table.SetAdditionalInfoEntry("Subcollections", reportCollection.Children.Count, "Number of sub collections");
foreach (var rep in reportCollection)
{
table.AddRow(rep);
}
context.overview_tables.Add(table);
return(table);
//table.GetReportAndSave(folder, imbACE.Core.appManager.AppInfo);
}
/// <summary>
/// Generates the final reports and read me files
/// </summary>
public void CloseExperiment(ILogBuilder logger, long startOfLog)
{
if (!testSummaries.Any())
{
logger.log("No experiment procedures performes");
return;
}
DataTableTypeExtended <classificationReport> summaryTable = new DataTableTypeExtended <classificationReport>("Test results", "k-fold cross valudation results");
classificationReport sumRow = new classificationReport(runName);
sumRow.Comment = runName + ", " + description;
// classificationEvalMetricSet metric = new classificationEvalMetricSet("Total", truthTable.labels_without_unknown);
foreach (classificationReport s in testSummaries)
{
summaryTable.AddRow(s);
//metric = metric + s;
if (sumRow.Classifier.isNullOrEmpty())
{
sumRow.Classifier = s.Classifier;
}
sumRow.AddValues(s);
}
sumRow.DivideValues(testSummaries.Count);
sumRow.SetReportDataFields(crossValidation, this);
summaryTable.SetDescription(description);
summaryTable.SetAdditionalInfoEntry("RunName", runName);
summaryTable.SetAdditionalInfoEntry("Description", description);
summaryTable.SetAdditionalInfoEntry("Averaging", averagingMethod.ToString());
summaryTable.AddRow(sumRow);
summaryTable.GetReportAndSave(notes.folder, signature);
finalReport = sumRow;
//sumRow.ReportToLog(logger);
sumRow.ReportToLog(notes);
objectSerialization.saveObjectToXML(sumRow, notes.folder.pathFor("results.xml", imbSCI.Data.enums.getWritableFileMode.overwrite, "Experiment results", true));
logger.log("Experiment completed");
notes.SaveNote("note");
String logPrintout = logger.GetContent(startOfLog);
String p = notes.folder.pathFor("log.txt", imbSCI.Data.enums.getWritableFileMode.overwrite, "Log printout during experiment execution");
File.WriteAllText(p, logPrintout);
experimentRootFolder.generateReadmeFiles(signature);
}