parameters: (self, config, wv_model=None, corpus=None)
docstring: Initialize EmbeddingExtractor model.
  
          Args:
          config: a Class of task_center.config
          wv_model: a instance of gensim.model.Word2vec, use for incremental training
  
          Returns:
            None.
  
          Raises:
            None.
docstring_summary: Initialize EmbeddingExtractor model.
docstring_tokens: Initialize EmbeddingExtractor model .
function: def __init__(self, config, wv_model=None, corpus=None):
          """
          Initialize EmbeddingExtractor model.
  
          Args:
          config: a Class of task_center.config
          wv_model: a instance of gensim.model.Word2vec, use for incremental training
  
          Returns:
            None.
  
          Raises:
            None.
          """
          super().__init__()
          self.config = config
          self.wv_model = wv_model
          self.corpus = corpus if corpus else []
function_tokens: def __init__ ( self , config , wv_model = None , corpus = None ) : super ( ) . __init__ ( ) self . config = config self . wv_model = wv_model self . corpus = corpus if corpus else [ ]