featuretools.primitives.Entropy¶

class featuretools.primitives.Entropy(dropna=False, base=None)¶

Calculates the entropy for a categorical variable

Description:: Given a list of observations from a categorical variable return the entropy of the distribution. NaN values can be treated as a category or dropped.

Parameters

dropna (bool) – Whether to consider NaN values as a separate category Defaults to False.
base (float) – The logarithmic base to use Defaults to e (natural logarithm)

Examples

>>> pd_entropy = Entropy()
>>> pd_entropy([1,2,3,4])
1.3862943611198906

__init__(dropna=False, base=None)¶: Initialize self. See help(type(self)) for accurate signature.

Methods

`__init__`([dropna, base])	Initialize self.
`generate_name`(base_feature_names, …)
`generate_names`(base_feature_names, …)
`get_args_string`()
`get_arguments`()
`get_filepath`(filename)
`get_function`()

Attributes