aggregations

This module contains all possible aggregations to be used with MultirelModel.

See the :ref:`feature learning section in the user guide <feature_engineering_design>`_ for details about how these aggregations are used in the context of feature learning.

Attributes

Avg	Average value of a given numerical column.
Count	Number of rows in a given column.
CountDistinct	Count function with distinct clause.
CountMinusCountDistinct	Counts minus counts distinct.
First	First value of a given column, when ordered by the time stamp.
Last	Last value of a given column, when ordered by the time stamp.
Max	Largest value of a given column.
Median	Median of a given column
Min	Smallest value of a given column.
Skew	Skewness of a given column.
Stddev	Standard deviation of a given column.
Sum	Total sum of a given numerical column.
Var	Statistical variance of a given numerical column.