大数据_协同过滤_梯度下降

代码说明：

  给定10000个用户和他们对10000个电影的评价，然后通过协同过滤或梯度下降算法，用训练集训练数据，预测出用户对未看的电影的评分，并与测试集对比验证预测结果的准确性(You can learn Chinese,and read the Chinese introduction.)

文件列表：

P17106005_王俊丰_homework2\P17106005_王俊丰_第次作业报告.pdf, 664932, 2017-12-19
P17106005_王俊丰_homework2\代码\homework1_2.py, 5967, 2017-12-19
P17106005_王俊丰_homework2\代码\homework3.py, 5073, 2017-12-19
P17106005_王俊丰_homework2\代码\J_array.txt, 2525, 2017-12-19
P17106005_王俊丰_homework2\代码\netflix_test.txt, 45545567, 2014-12-06
P17106005_王俊丰_homework2\代码\netflix_train.txt, 182708276, 2014-12-06
P17106005_王俊丰_homework2\代码\RMSE_array.txt, 2525, 2017-12-19
P17106005_王俊丰_homework2\代码\Xscore_array.txt, 100050000, 2017-12-18
P17106005_王俊丰_homework2\代码\Xtest_array.txt, 100050000, 2017-12-19
P17106005_王俊丰_homework2\代码\Xtrain_array.txt, 100050000, 2017-12-19
P17106005_王俊丰_homework2\代码
P17106005_王俊丰_homework2