code: def _normalize(cls, vectors, norm="l2"):
      if norm == "l2":
          return normalization.l2_norm(vectors)
      elif norm == "l1":
          return normalization.l1_norm(vectors)
      elif norm == "standard":
          return normalization.standard_norm(vectors)
  
file_path: nlpaug/nlpaug/model/word_embs/word_embeddings.py
imports: import nlpaug.util.math.normalization
label_desc: Use image node_id 6 for calling the WordEmbeddings obj's underlying member method code with example usage: obj._normalize(cls, vectors, norm) and returns: normalization, normalization, normalization