def my_learnstore():
engine = data.engine_from_config("localdb.config")
db = data.init_datafactory(engine)
uselessTalks = dbfactory.Session().query(bayeslib.BayeseLib).filter_by(is_useless=1).all()
for uselessTalk in uselessTalks:
userlessStr = uselessTalk.value.encode("utf8")
words = my_chinesesegment.splitchinese(userlessStr)
mybayes.my_learn(words, True)
usefulTalks = dbfactory.Session().query(bayeslib.BayeseLib).filter_by(is_useless=0).all()
for usefulTalk in usefulTalks:
usefulStr = usefulTalk.value.encode("utf8")
words = my_chinesesegment.splitchinese(usefulStr)
mybayes.my_learn(words, False)
def checkneedprobability(content):
global learned
if learned == 1:
# relearn()
my_relearn(1)
learned = 0
wordsforlearn = my_chinesesegment.splitchinese(content)
return mybayes.needprobability(wordsforlearn, evidence=False)
