def __init__(self, dataset, train_dataset, cls, dets, detname):
"""
Expects cached detections in Table format to be passed in.
The dets should not have the 'cls_ind' column, as they should all be of the
same class.
"""
Detector.__init__(self, dataset, train_dataset, cls, detname)
self.dets = dets
# TODO: hack for csc_X
suffix = detname[4:]
if self.detname == 'dpm':
self.classif = DPMClassifier()
else:
self.classif = CSCClassifier(suffix, cls, train_dataset, dataset)
def __init__(self, dataset, train_dataset, cls, dets, detname):
"""
Expects cached detections in Table format to be passed in.
The dets should not have the 'cls_ind' column, as they should all be of the
same class.
"""
Detector.__init__(self,dataset,train_dataset,cls,detname)
self.dets = dets
# TODO: hack for csc_X
suffix = detname[4:]
if self.detname=='dpm':
self.classif = DPMClassifier()
else:
self.classif = CSCClassifier(suffix, cls, train_dataset, dataset)
