class_docstr: Each TextFeature keeps information of a single text record.
  It can include various status (if any) of a text,
  e.g. original text content, uri, category label, tokens, index representation
  of tokens, BigDL Sample representation, prediction result and so on.
class_docstr_tok: ["Each","TextFeature","keeps","information","of","a","single","text","record",".","It","can","include","various","status","(","if","any",")","of","a","text",",","e.g",".","original","text","content",",","uri",",","category","label",",","tokens",",","index","representation","of","tokens",",","BigDL","Sample","representation",",","prediction","result","and","so","on","."]
docstr: Get the tokens of the TextFeature.
  If text hasn't been segmented, None will be returned.
  
  :return: List of String
docstr_tok: ["Get","the","tokens","of","the","TextFeature",".","If","text","has","n't","been","segmented",",","None","will","be","returned",".",":","return",":","List","of","String"]
code: def get_tokens(self):
      """
      Get the tokens of the TextFeature.
      If text hasn't been segmented, None will be returned.
  
      :return: List of String
      """
      return callZooFunc(
          self.bigdl_type, "textFeatureGetTokens", self.value
      )
  
file_path: analytics-zoo/pyzoo/zoo/feature/text/text_feature.py
imports: import sys
  import six
  from bigdl.util.common import JavaValue
  from zoo.common.utils import callZooFunc
label_desc: Use image node_id 7 for calling the TextFeature obj's underlying member method code with example usage: obj.get_tokens() and returns: callZooFunc