class_docstr: Determines the median word length.
  
  Description:
      Given list of strings, determine the median
      word length in each string. A word is defined as
      a series of any characters not separated by a delimiter.
      If a string is empty or `NaN`, return `NaN`.
  
  Args:
      delimiters_regex (str): Delimiters as a regex string for splitting text into words.
          Defaults to whitespace characters.
  
  Examples:
      >>> x = ['This is a test file', 'This is second line', 'third line $1,000', None]
      >>> median_word_length = MedianWordLength()
      >>> median_word_length(x).tolist()
      [4.0, 4.0, 5.0, nan]
code: def get_function(self):
      def get_median(words):
          if isinstance(words, list):
              return median(
                  [len(word) for word in words if len(word) != 0]
              )
  
      def median_word_length(x):
          words = x.str.split(self.delimiters_regex)
          return words.apply(get_median)
  
      return median_word_length
  
file_path: featuretools/featuretools/primitives/standard/transform/natural_language/median_word_length.py
imports: from numpy import median
  from woodwork.column_schema import ColumnSchema
  from woodwork.logical_types import Double, NaturalLanguage
  from featuretools.primitives.base import TransformPrimitive
  from featuretools.primitives.standard.transform.natural_language.constants import DELIMITERS
label_desc: Use image node_id 2 for calling the MedianWordLength obj's underlying member method code with example usage: obj.get_function() and returns: median_word_length, words, median