def training_to_class(request, tid, cls):
t = GroupTopic.objects.filter(tid=tid).first()
st = time.time()
res = None
if t.other == 'train':
res = 'trained'
else:
sample = get_topicatbs(t)
nbc = NaiveBayesClassifier(Drive())
nbc.training(sample, cls)
t.other = 'train'
t.type = cls
t.save()
res = '%s %s' % ('/'.join(sample), time.time() - st)
return HttpResponse(res)
