featuretools.primitives.NumberOfUniqueWords#

class featuretools.primitives.NumberOfUniqueWords(case_insensitive=False)[source]#

Determines the number of unique words in a string.

Description:

Determines the number of unique words in a given string. Includes options for case-insensitive behavior.

Parameters:

  • case_insensitive (bool, optional) – Specify case_insensitivity when searching for unique words.

  • example (For) –

  • having (setting this to True would mean "WORD word" would be treated as) –

  • False. (one unique word. Defaults to) –

Examples

>>> x = ['Word word Word', 'This is a SENTENCE.', 'green red green']
>>> number_of_unique_words = NumberOfUniqueWords()
>>> number_of_unique_words(x).tolist()
[2, 4, 2]

>>> x = ['word WoRD WORD worD', 'dog dog dog', 'catt CAT caT']
>>> number_of_unique_words = NumberOfUniqueWords(case_insensitive=True)
>>> number_of_unique_words(x).tolist()
[1, 1, 2]
__init__(case_insensitive=False)[source]#

Methods

__init__([case_insensitive])

flatten_nested_input_types(input_types)

Flattens nested column schema inputs into a single list.

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

compatibility

Additional compatible libraries

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

series_library

stack_on

stack_on_exclude

stack_on_self

uses_calc_time

uses_full_dataframe