ctor
                        new_lr = current_lr * self.factor
                        new_lr = max(new_lr, min_lr)
                        K.set_value(self.model.optimizer.lr, new_lr)
                        if self.verbose:
                            print(
                                &#34;\nEpoch %05d: Reducing Max LR on Plateau: &#34;
                                &#34;new max lr will be %s (if not early_stopping).&#34;
                                % (epoch + 1, self.max_lr)
                  