public FeatureBasedDCM(string name, IEnumerable<string> incidentTypes, Area trainingArea, DateTime trainingStart, DateTime trainingEnd, IEnumerable<Smoother> smoothers, int trainingPointSpacing, int featureDistanceThreshold, int negativePointStandoff, PTL.ATT.Classifiers.Classifier classifier, IEnumerable<Feature> features) : base(name, incidentTypes, trainingArea, trainingStart, trainingEnd, smoothers) { _trainingPointSpacing = trainingPointSpacing; _featureDistanceThreshold = featureDistanceThreshold; _negativePointStandoff = negativePointStandoff; _classifier = classifier; _classifier.Model = this; Construct(); // initializes feature lookups if (features != null) Features = new List<Feature>(features); // saves features and fills feature lookups Update(); }
public TimeSliceDCM(string name, IEnumerable<string> incidentTypes, Area trainingArea, DateTime trainingStart, DateTime trainingEnd, IEnumerable<Smoother> smoothers, int trainingPointSpacing, int featureDistanceThreshold, int negativePointStandoff, PTL.ATT.Classifiers.Classifier classifier, IEnumerable<Feature> features, int timeSliceHours, int periodTimeSlices) : base(name, incidentTypes, trainingArea, trainingStart, trainingEnd, smoothers, trainingPointSpacing, featureDistanceThreshold, negativePointStandoff, classifier, features) { _timeSliceHours = timeSliceHours; _periodTimeSlices = periodTimeSlices; _timeSliceTicks = new TimeSpan(_timeSliceHours, 0, 0).Ticks; Update(); }