public WebSiteClassifierResult(DocumentSetClasses _setClassCollection, IFVExtractorSettings _settings)
{
setClassCollection = _setClassCollection;
foreach (var pair in setClassCollection.GetClasses())
{
WebSiteResultForClass resUnit = new WebSiteResultForClass(_settings.featureVectors);
resUnit.classID = pair.classID;
this.Add(pair.classID, resUnit);
}
}
public WebClassifierResultSet(DocumentSetClasses _setClassCollection, experimentExecutionContext _context, IFVExtractorSettings _extractorSettings)
{
setClassCollection = _setClassCollection;
featureVectors = new WebSiteClassifierResult(_setClassCollection, _extractorSettings);
items.Add(INPUTSET_NAME, featureVectors);
List <IWebPostClassifier> classifiers = new List <IWebPostClassifier>();
for (int i = 0; i < _context.setup.classifiers.Count; i++)
{
classifiers.Add(_context.setup.classifiers[i]);
}
Thread.Sleep(100);
if (classifiers.Count < _context.setup.classifiers.Count)
{
aceLog.log("::: MULTITHREADING --- CLASSIFIERS COUNT MISTMATCHED --- AUTOCORRECTION APPLIED :::");
for (int i = classifiers.Count - 1; i < _context.setup.classifiers.Count; i++)
{
classifiers.Add(_context.setup.classifiers[i]);
}
}
foreach (var cs in classifiers)
{
items.Add(cs.name, new WebSiteClassifierResult(_setClassCollection, _extractorSettings));
}
}
