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]
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
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
stack_on
stack_on_exclude
stack_on_self
uses_calc_time
uses_full_dataframe