Question

首先，我喜欢功能工具。它使我的工作变得更加轻松和高效。一个简单的问题：我只是在寻找非定制的agg＆trans原语的完整列表，但似乎找不到。我是否只是采用API中的方法列表，并用小写字母（和下划线）代替大写字母？

Answer 1

如果运行featuretools.list_primitives()，它将返回包含所有原语名称的数据框。可以将“名称”列中的字符串提供给ft.dfs

>>> import featuretools as ft   
>>> ft.list_primitives()
                               name         type                                        description
0                      percent_true  aggregation           Determines the percent of `True` values.
1                              last  aggregation               Determines the last value in a list.
2                          num_true  aggregation                Counts the number of `True` values.
3                               std  aggregation  Computes the dispersion relative to the mean v...
4                        num_unique  aggregation  Determines the number of distinct values, igno...
5                               sum  aggregation     Calculates the total addition, ignoring `NaN`.
6                              skew  aggregation  Computes the extent to which a distribution di...
7                              mode  aggregation       Determines the most commonly repeated value.
8                  time_since_first  aggregation  Calculates the time elapsed since the first da...
9                               max  aggregation  Calculates the highest value, ignoring `NaN` v...
10                           median  aggregation  Determines the middlemost number in a list of ...
11                             mean  aggregation         Computes the average for a list of values.
12                  time_since_last  aggregation  Calculates the time elapsed since the last dat...

此外，您还可以直接导入并传递原始类。例如，这两个调用是等效的。

>>> from featuretools.primitives import Max, TimeSincePrevious
>>> ft.dfs(agg_primtives=[Max, TimeSincePrevious], ...)
>>> ft.dfs(agg_primtives=["max", "time_since_previous"], ...)

如果需要修改可控制的参数，则导入原始对象可能会有所帮助。例如，要使TimeSincePrevious以小时为单位返回（默认值是秒）

>>> ft.dfs(agg_primtives=[Max, TimeSincePrevious(unit="hours")], ...)

内置的聚合和转换原语列表

1 个答案: