code: def train(
      self,
      batch_size=1024,
      epochs=1,
      initial_epoch=0,
      verbose=1,
      times=1,
  ):
      self.reset_training_config(batch_size, times)
      hist = self.model.fit_generator(
          self.batch_it,
          epochs=epochs,
          initial_epoch=initial_epoch,
          steps_per_epoch=self.steps_per_epoch,
          verbose=verbose,
      )
  
      return hist
  
file_path: GraphEmbedding/ge/models/line.py
imports: import math
  import random
  import numpy
  from deepctr.layers.utils import reduce_sum
  from tensorflow.python.keras import backend
  from tensorflow.python.keras.layers import Embedding, Input, Lambda
  from tensorflow.python.keras.models import Model
  from ..alias import create_alias_table, alias_sample
  from ..utils import preprocess_nxgraph
label_desc: Use image node_id 7 for calling the LINE obj's underlying member method code with example usage: obj.train(batch_size, epochs, initial_epoch, verbose, times) and returns: hist