Question

我支持一项业务，客户每月支付各种服务费用。我想使用基于客户的机器学习＆＃39;各种服务的历史使用并预测未来的使用（增加或减少）。

我使用了两个类创建了一个模型，它使用历史月1服务用法和0月用法来预测增长或下降。但我想开始使用所有历史信息，而不仅仅是m-1。

我怎么能这样做？我可以继续添加（M-2，M-3，M-4）列吗？如果是这样的话我将会有数百列。

我是机器学习的新手，我不确定哪种算法对我正在进行的分析类型有用。

以下是我拥有的原始表格的示例：

Customer Name | MonthName      | Service | Usage
------------- | ---------------|---------|------
Customer1     | January, 2017  |Service2 |$400
Customer1     | January, 2017  |Service1 |$300
Customer1     | January, 2017  |Service3 |$0
Customer1     | December, 2017 |Service2 |$600
Customer1     | December, 2017 |Service1 |$500
Customer1     | December, 2017 |Service3 |$700
Customer1     | November, 2016 |Service1 |$500
Customer1     | November, 2016 |Service2 |$50
Customer1     | October, 2016  |Service1 |$800
Customer2     | January, 2017  |Service2 |$400
Customer2     | January, 2017  |Service1 |$800
Customer2     | December, 2017 |Service2 |$600
Customer2     | December, 2017 |Service1 |$500
Customer2     | November, 2016 |Service1 |$500
Customer2     | November, 2016 |Service2 |$50
Customer2     | October, 2016  |Service1 |$800

这是我现在用来提出2类模型的表格：

+----------------+------------------+-----------------+-----------------+-----------------+-----------+-----------+-----------+-----------+-------+--------------------+
| Customer Name  |  MonthName       | Service1  - M-1 | Service2  - M-1 | Service3  - M-1 | Usage M-1 | Service1  | Service2  | Service3  | Usage | Usage Decline Flag |
+----------------+------------------+-----------------+-----------------+-----------------+-----------+-----------+-----------+-----------+-------+--------------------+
| Customer1      |  October, 2016   |               0 |               0 |               0 |         0 |       800 |           |           |   800 |                  0 |
| Customer1      |  November, 2016  |             800 |                 |                 |       800 |       500 |        50 |           |   550 |                  1 |
| Customer1      |  December, 2017  |             500 |              50 |                 |       550 |       500 |       600 |       700 |  1800 |                  0 |
| Customer1      |  January, 2017   |             500 |             600 |             700 |      1800 |       300 |       400 |         0 |   700 |                  1 |
| Customer2      |  October, 2016   |               0 |               0 |               0 |         0 |      1600 |           |           |  1600 |                  0 |
| Customer2      |  November, 2016  |            1600 |                 |                 |      1600 |       500 |       100 |           |   600 |                  1 |
| Customer2      |  December, 2017  |             500 |             100 |                 |       600 |       500 |       600 |           |  1100 |                  0 |
| Customer2      |  January, 2017   |             500 |             600 |                 |      1100 |       800 |       400 |           |  1200 |                  0 |
+----------------+------------------+-----------------+-----------------+-----------------+-----------+-----------+-----------+-----------+-------+--------------------+

Answer 1

试试这个 - 以下代码可以将行转换为列，以便在前几天进行销售 - https://gallery.cortanaintelligence.com/CustomModule/Generate-Lag-Features-1 - 此代码的源代码 - https://gist.github.com/nk773/a2ed7cd0ce8020647f5e7711f749b3b5

Azure ML未来预测算法

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