code: def on_train_end(self, logs={}):
      self.deepneuro_model.save_model(
          self.deepneuro_model.output_model_filepath
      )
      return
  
imports: import os
  import imageio
  import numpy
  from keras.callbacks import ModelCheckpoint, EarlyStopping, CSVLogger, Callback
  from keras import backend
  from deepneuro.utilities.util import add_parameter
  from deepneuro.utilities.visualize import check_data
label_desc: Use image node_id 3 for calling the SaveModel obj's underlying member method code with example usage: obj.on_train_end(logs) without return types