featuretools.primitives.
Entropy
Calculates the entropy for a categorical variable
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.
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__
Initialize self. See help(type(self)) for accurate signature.
Methods
__init__([dropna, base])
Initialize self.
generate_name(base_feature_names, …)
generate_name
generate_names(base_feature_names, …)
generate_names
get_args_string()
get_args_string
get_arguments()
get_arguments
get_description(input_column_descriptions[, …])
get_description
get_filepath(filename)
get_filepath
get_function([agg_type])
get_function
Attributes
base_of
base_of_exclude
commutative
compatibility
default_value
description_template
input_types
max_stack_depth
name
number_output_features
stack_on
stack_on_exclude
stack_on_self
uses_calc_time