def Add()

in #U57fa#U7840#U6559#U7a0b/A2-#U795e#U7ecf#U7f51#U7edc#U57fa#U672c#U539f#U7406/#U7b2c9#U6b65 - #U5faa#U73af#U795e#U7ecf#U7f51#U7edc/src/ch20-RNNModel/MiniFramework/TrainingHistory_3_0.py [0:0]

• 27 lines of code
• 16 McCabe index (conditional complexity)

    def Add(self, epoch, total_iteration, loss_train, accuracy_train, loss_vld, accuracy_vld, stopper):
        self.iteration_seq.append(total_iteration)
        self.epoch_seq.append(epoch)
        self.loss_train.append(loss_train)
        self.accuracy_train.append(accuracy_train)
        if loss_vld is not None:
            self.loss_val.append(loss_vld)
        if accuracy_vld is not None:
            self.accuracy_val.append(accuracy_vld)

        if stopper is not None:
            if stopper.stop_condition == StopCondition.StopDiff:
                if len(self.loss_val) > 1:
                    if abs(self.loss_val[-1] - self.loss_val[-2]) < stopper.stop_value:
                        self.counter = self.counter + 1
                        if self.counter > 3:
                            return True
                    else:
                        self.counter = 0
                #end if
            #end if
        #end if

        if self.early_stop:
            if loss_vld < self.last_vld_loss:
                self.patience_counter = 0
                self.last_vld_loss = loss_vld
            else:
                self.patience_counter += 1
                if self.patience_counter >= self.patience:
                    return True     # need to stop
            # end if
        # end if

        return False