示例#1
0
def main():
	predictor = MFUPredictor()

	db_helper = ApeicDBHelper()
	users = db_helper.get_users()
	for user in users:
		logs = db_helper.get_logs(user)
		
		sessions = db_helper.get_sessions(user)
		training_logs, testing_logs = split(sessions, aggregated=True)
		predictor.train(training_logs)
		launches = map(lambda x: x['application'], testing_logs)
		predictions = map(lambda x: predictor.predict(x), testing_logs)
		hr, mrr = predictor.test(launches, predictions)
		print hr, mrr
示例#2
0
def main():
    predictor = MFUPredictor()

    db_helper = ApeicDBHelper()
    users = db_helper.get_users()
    for user in users:
        logs = db_helper.get_logs(user)

        sessions = db_helper.get_sessions(user)
        training_logs, testing_logs = split(sessions, aggregated=True)
        predictor.train(training_logs)
        launches = map(lambda x: x['application'], testing_logs)
        predictions = map(lambda x: predictor.predict(x), testing_logs)
        hr, mrr = predictor.test(launches, predictions)
        print hr, mrr