featuretools.primitives.Skew¶

class featuretools.primitives.Skew[source]¶

Computes the extent to which a distribution differs from a normal distribution.

Description:: For normally distributed data, the skewness should be about 0. A skewness value > 0 means that there is more weight in the left tail of the distribution.

Examples

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

__init__()¶: Initialize self. See help(type(self)) for accurate signature.

Methods

`__init__`()	Initialize self.
`generate_name`(base_feature_names, …)
`generate_names`(base_feature_names, …)
`get_args_string`()
`get_arguments`()
`get_dask_aggregation`()
`get_filepath`(filename)
`get_function`()

Attributes