code: def reset_training_config(self, batch_size, times):
      self.batch_size = batch_size
      self.steps_per_epoch = (
          (self.samples_per_epoch - 1) // self.batch_size + 1
      ) * times
  
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 2 for calling the LINE obj's underlying member method code with example usage: obj.reset_training_config(batch_size, times) without return types