class_docstr: Represents the output of Spark NLP Annotators and their details.
  
  Parameters
  ----------
  annotator_type : str
      The type of the output of the annotator. Possible values are ``DOCUMENT,
      TOKEN, WORDPIECE, WORD_EMBEDDINGS, SENTENCE_EMBEDDINGS, CATEGORY, DATE,
      ENTITY, SENTIMENT, POS, CHUNK, NAMED_ENTITY, NEGEX, DEPENDENCY,
      LABELED_DEPENDENCY, LANGUAGE, KEYWORD, DUMMY``.
  begin : int
      The index of the first character under this annotation.
  end : int
      The index of the last character under this annotation.
  result : str
      The resulting string of the annotation.
  metadata : dict
      Associated metadata for this annotation
  embeddings : list
      Embeddings vector where applicable
class_docstr_tok: ["Represents","the","output","of","Spark","NLP","Annotators","and","their","details",".","Parameters","--","--","--","--","--","annotator_type",":","str","The","type","of","the","output","of","the","annotator",".","Possible","values","are","``","DOCUMENT",",","TOKEN",",","WORDPIECE",",","WORD_EMBEDDINGS",",","SENTENCE_EMBEDDINGS",",","CATEGORY",",","DATE",",","ENTITY",",","SENTIMENT",",","POS",",","CHUNK",",","NAMED_ENTITY",",","NEGEX",",","DEPENDENCY",",","LABELED_DEPENDENCY",",","LANGUAGE",",","KEYWORD",",","DUMMY","``",".","begin",":","int","The","index","of","the","first","character","under","this","annotation",".","end",":","int","The","index","of","the","last","character","under","this","annotation",".","result",":","str","The","resulting","string","of","the","annotation",".","metadata",":","dict","Associated","metadata","for","this","annotation","embeddings",":","list","Embeddings","vector","where","applicable"]
code: def __str__(self):
      return "Annotation(%s, %i, %i, %s, %s, %s)" % (
          self.annotatorType,
          self.begin,
          self.end,
          self.result,
          str(self.metadata),
          str(self.embeddings),
      )
  
file_path: spark-nlp/python/sparknlp/annotation.py
imports: from pyspark.sql.types import *
label_desc: Use image node_id 3 for calling the Annotation obj's underlying member method code with example usage: obj.__str__() and returns: unknown