(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.
Initialize EmbeddingExtractor model.
Initialize EmbeddingExtractor model .
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 []
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 [ ]