sklearn 存取模型

整理模型存取方法

import os
if os.path.exists("./model/"):
#判断路径是否存在

if not os.path.exists("./model/"):
os.mkdir("./model/")

from sklearn.externals import joblib
import os
def download_model(self,classification):
if not os.path.exists("./model/"):
os.mkdir("./model/")joblib.dump(classification, "./model/"+"train_model.m")

from sklearn.externals import joblib
import os
def load_model(self,groupnum):
classification = joblib.load("./model/"+"train_model.m")
return classification