code: def train(self, data, n_epochs=100):
      train_method = super(WordEmbeddingNN, self).train
      logger.info(
          "Start training network over {} epochs".format(n_epochs)
      )
  
      for epoch in range(n_epochs):
          logger.info(
              "Training epoch {} / {}".format(epoch + 1, n_epochs)
          )
          train_method(data)
  
file_path: neupy/examples/mlp/imdb_review_classification/src/word_embedding_nn.py
imports: import numpy
  from gensim import models
  from .utils import create_logger
label_desc: Use image node_id 1 for calling the WordEmbeddingNN obj's underlying member method code with example usage: obj.train(data, n_epochs) without return types