コード例 #1
0
ファイル: transinger.py プロジェクト: Lhfcws/ai_hw
def main(dic, keyword2):
	#print dic
	keyword1 = u"\u6881\u535a"
	dic[keyword2.decode("utf-8")] = dic[keyword1]
	dic.pop(keyword1)
	keylist1 = kuworank.main(keyword1.encode("utf-8"))
	keylist2 = kuworank.main(keyword2)
	pr = trans(dic, keylist1, keylist2)
	return pr
コード例 #2
0
ファイル: bayes.py プロジェクト: Lhfcws/ai_hw
def main():
	keyword = "梁博"
	songlist = kuworank.main(keyword)
	editDict(songlist)

	P_HT, P_MT, P_H, P_M, hsum, msum, store = init(keyword, songlist)
	
	# Store the probability calculated.
	xmlOperation.create_xml(P_HT, "music_HT_dict.xml");
	xmlOperation.create_xml({'hits':P_H}, "music_H_dict.xml");
	xmlOperation.create_xml(P_MT, "music_MT_dict.xml");
	xmlOperation.create_xml({'miss':P_M}, "music_M_dict.xml");
	xmlOperation.create_xml(store, "store.xml");
	
	'''
	con = dbconf.dbconfig()
	conn = MySQLdb.connect(host=con[0], user=con[1], passwd=con[2])
	conn.select_db("ai_hw")
	cursor = conn.cursor()
	P_HT = get_xml_data("music_HT_dict.xml")
	P_H = get_xml_data("music_H_dict.xml")
	P_MT = get_xml_data("music_MT_dict.xml")
	P_M = get_xml_data("music_M_dict.xml")
	'''
	'''
	lines = readFile("testFile.txt")
	resList = []
	hl = []
	ml = []
	for line in lines:
		tokens = segword(line)
		hitP = hitProbability(tokens, P_HT) * P_H
		missP = missProbability(tokens, P_MT) * P_M
		print hitP, missP
		if missP < hitP:
			resList.append(line)
			hl.append(line)
		else:
			ml.append(line)

	writeFile([str(len(lines))+"\n", len(resList)], "result.txt")
	writeFile(hl, "result_hits.txt")
	writeFile(ml, "result_miss.txt")
	'''
	'''
コード例 #3
0
ファイル: kuwoData.py プロジェクト: Lhfcws/ai_hw
def main():
	f = open("names.txt", 'r')
	lines = f.readlines()
	for line in lines:
		kuworank.main(line.strip())