class_docstr: Base class for DateMatcher Annotators
      
docstr: Sets whether to parse the date in mm/dd/yyyy format instead of
  dd/mm/yyyy, by default True.
  
  For example July 5th 2015, would be parsed as 07/05/2015 instead of
  05/07/2015.
  
  Parameters
  ----------
  value : bool
      Whether to parse the date in mm/dd/yyyy format instead of
      dd/mm/yyyy.
docstr_tok: ["Sets","whether","to","parse","the","date","in","mm\/dd\/yyyy","format","instead","of","dd\/mm\/yyyy",",","by","default","True",".","For","example","July","5th","2015",",","would","be","parsed","as","07\/05\/2015","instead","of","05\/07\/2015",".","Parameters","--","--","--","--","--","value",":","bool","Whether","to","parse","the","date","in","mm\/dd\/yyyy","format","instead","of","dd\/mm\/yyyy","."]
code: def setReadMonthFirst(self, value):
      """Sets whether to parse the date in mm/dd/yyyy format instead of
      dd/mm/yyyy, by default True.
  
      For example July 5th 2015, would be parsed as 07/05/2015 instead of
      05/07/2015.
  
      Parameters
      ----------
      value : bool
          Whether to parse the date in mm/dd/yyyy format instead of
          dd/mm/yyyy.
      """
      return self._set(readMonthFirst=value)
  
file_path: spark-nlp/python/sparknlp/annotator/matcher/date_matcher.py
imports: from sparknlp.common import *
label_desc: Use image node_id 3 for calling the DateMatcherUtils obj's underlying member method code with example usage: obj.setReadMonthFirst(value) and returns: self