def redo(self, id):
if not c.user:
return redirect(url(controller='login', action='signin', id=None, return_to=url.current()))
c.feed = meta.find(model.Feed, id)
query = meta.Session\
.query(model.Classification)\
.join(model.FeedEntry)\
.filter_by(feed_id=id)
guesser = Guesser(c.feed, c.user, config)
guesser.clear()
cnt = 0
needles_cnt = 0
for entry in query:
# h.flash("%s :%s" % (entry.pool, __relevant__(entry.entry)))
# guesser.trainer.train(entry.pool, __relevant__(entry.entry))
if guesser.is_spam(entry.entry, use_classified=False) and (entry.pool == 'spam'):
needles_cnt += 1
elif not guesser.is_spam(entry.entry, use_classified=False) and (entry.pool == 'ham'):
needles_cnt += 1
self.__mark_as__(entry.entry, entry.pool, guesser, True)
cnt+=1
guesser.save()
log.debug("FOOOOOO")
if needles_cnt > 0:
h.flash("%d entries were needlessly trained (total: %s)" % (needles_cnt, cnt))
else:
h.flash("learned %s entries" % cnt)
return h.go_back()
