featuretools.primitives.Entropy

class featuretools.primitives.Entropy(dropna=False, base=None)[source]

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)[source]

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_dask_aggregation()

get_filepath(filename)

get_function()

Attributes

base_of

base_of_exclude

commutative

dask_compatible

default_value

input_types

max_stack_depth

name

number_output_features

stack_on

stack_on_exclude

stack_on_self

uses_calc_time