nlp_primitives.WhitespaceCount¶

class nlp_primitives.WhitespaceCount[source]¶

Calculates number of whitespaces in a string.

Description:: Given a list of strings, determine the whitespaces in each string If a string is missing, return NaN

Examples

>>> x = ['', 'hi im ethan', 'multiple    spaces']
>>> upper_case_count = WhitespaceCount()
>>> upper_case_count(x).tolist()
[0.0, 2.0, 4.0]

Methods

`__init__`()
`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`()
`process_text`(text)

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
`uses_calc_time`
`uses_full_dataframe`

nlp_primitives.UpperCaseCount

nlp_primitives.tensorflow.Elmo