featuretools.primitives.Skew#

class featuretools.primitives.Skew[source]#

计算一个分布与正态分布的差异程度.

Description:

对于正态分布的数据,偏度应约为0. 偏度值 > 0 表示分布的左尾有更多的权重.

Examples

>>> skew = Skew()
>>> skew([1, 10, 30, None])
1.0437603722639681
__init__()#

Methods

__init__()

flatten_nested_input_types(input_types)

将嵌套的列模式输入展平成一个列表.

generate_name(base_feature_names, ...)

generate_names(base_feature_names, ...)

get_args_string()

get_arguments()

get_description(input_column_descriptions[, ...])

get_filepath(filename)

get_function()

Attributes

base_of

base_of_exclude

commutative

default_value

Default value this feature returns if no data found.

description_template

input_types

woodwork.ColumnSchema types of inputs

max_stack_depth

name

Name of the primitive

number_output_features

Number of columns in feature matrix associated with this feature

return_type

ColumnSchema type of return

stack_on

stack_on_exclude

stack_on_self

uses_calc_time