code: def on_train_end(self, logs={}):
      imageio.mimsave(
          os.path.join(
              self.epoch_prediction_dir, "epoch_prediction.gif"
          ),
          self.predictions,
      )
      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 2 for calling the GANPredict obj's underlying member method code with example usage: obj.on_train_end(logs) without return types