ML之FE:基于load_mock_customer数据集(模拟客户,单个DataFrame)利用featuretools工具实现自动特征生成/特征衍生
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ML之FE:基于load_mock_customer数据集(模拟客户)利用featuretools工具实现自动特征生成/特征衍生
ML之FE:基于load_mock_customer数据集(模拟客户)利用featuretools工具实现自动特征生成/特征衍生实现
ML之FE:基于load_mock_customer数据集(模拟客户,单个DataFrame)利用featuretools工具实现自动特征生成/特征衍生
ML之FE:基于load_mock_customer数据集(模拟客户,单个DataFrame)利用featuretools工具实现自动特征生成/特征衍生实现
- type: <class 'pandas.core.frame.DataFrame'>
- customer_id zip_code join_date date_of_birth
- 0 1 60091 2011-04-17 10:48:33 1994-07-18
- 1 2 13244 2012-04-15 23:31:04 1986-08-18
- 2 3 13244 2011-08-13 15:42:34 2003-11-21
- 3 4 60091 2011-04-08 20:08:14 2006-08-15
- 4 5 60091 2010-07-17 05:27:50 1984-07-28
- feature_matrix_customers
- zip_code DAY(date_of_birth) DAY(join_date) \
- customer_id
- 1 60091 18 17
- 2 13244 18 15
- 3 13244 21 13
-
- MONTH(date_of_birth) MONTH(join_date) WEEKDAY(date_of_birth) \
- customer_id
- 1 7 4 0
- 2 8 4 0
- 3 11 8 4
-
- WEEKDAY(join_date) YEAR(date_of_birth) YEAR(join_date)
- customer_id
- 1 6 1994 2011
- 2 6 1986 2012
- 3 5 2003 2011
- features_defs_customers: 9 [<Feature: zip_code>, <Feature: DAY(date_of_birth)>, <Feature: DAY(join_date)>, <Feature: MONTH(date_of_birth)>, <Feature: MONTH(join_date)>, <Feature: WEEKDAY(date_of_birth)>, <Feature: WEEKDAY(join_date)>, <Feature: YEAR(date_of_birth)>, <Feature: YEAR(join_date)>]
- <Feature: MONTH(date_of_birth)>
- The month of the "date_of_birth".
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