class_docstr: The storage structure of LDA model's inference result.
      
class_docstr_tok: ["The","storage","structure","of","LDA","model","'s","inference","result","."]
code: def __init__(self):
      self._num_topics = None  # Number of topics.
      self._num_accum = None  # Number of accumulated sample rounds.
      self._alpha = None  # Document prior parameter.
      self._tokens = None  # Storage structure of inference results.
      self._topic_sum = (
          None  # Document's topic sum in one round samples.
      )
      self._accum_topic_sum = None
  
imports: import numpy
label_desc: Use image node_id 1 to create a new LDADoc object from inherited base classes: object with example: obj = LDADoc()