chapter6
所属分类：其他
开发工具：Python
文件大小：48KB
下载次数：4
上传日期：2018-01-02 22:34:49
上 传 者：
左岸223
说明： 电力用户窃电大数据仿真，利用拉格朗日差值法和机器学习算法进行数据处理，有效预测。
(The power user theft of large data simulation, the use of Lagrange difference method and machine learning algorithm for data processing, effective prediction.)
文件列表:
chapter6 (0, 2017-02-20)
chapter6\demo (0, 2016-11-20)
chapter6\demo\code (0, 2017-02-24)
chapter6\demo\code\6-1_Lagrange_interpolation.py (1011, 2015-12-05)
chapter6\demo\code\6-2_dt_model.py (1611, 2016-11-23)
chapter6\demo\code\6-3_lm_model.py (2147, 2016-11-28)
chapter6\demo\code\cm_plot.py (583, 2015-12-05)
chapter6\demo\data (0, 2016-11-20)
chapter6\demo\data\missing_data.xls (25088, 2015-12-05)
chapter6\demo\data\model.xls (40448, 2015-12-05)
chapter6\demo\tmp (0, 2016-11-20)
chapter6\demo\tmp\missing_data_processed.xls (5632, 2015-12-05)
chapter6\demo\tmp\net.model (8296, 2015-12-05)
chapter6\demo\tmp\tree.pkl (707, 2015-12-05)
chapter6\demo\tmp\tree.pkl_01.npy (84, 2015-12-05)
chapter6\demo\tmp\tree.pkl_02.npy (800, 2015-12-05)
chapter6\demo\tmp\tree.pkl_03.npy (2432, 2015-12-05)
chapter6\demo\tmp\tree.pkl_04.npy (96, 2015-12-05)
chapter6\test (0, 2016-11-20)
chapter6\test\code (0, 2016-11-20)
chapter6\test\code\Lagrange_interpolation.py (1011, 2015-12-05)
chapter6\test\code\dt_model.py (1982, 2015-12-05)
chapter6\test\code\lm_model.py (2545, 2015-12-05)
chapter6\test\data (0, 2016-11-20)
chapter6\test\data\missing_data.xls (25088, 2015-12-05)
chapter6\test\data\model.xls (40448, 2015-12-05)
chapter6\test\tmp (0, 2017-02-24)
chapter6\拓展思考 (0, 2016-11-14)
chapter6\拓展思考\拓展思考样本数据.xls (49664, 2015-12-05)
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