def OldPlotHistory(self):
    '\n        This method plot the history in the old way.\n        '
    try:
        fig_num: int = 1
        self.AccOrLossPlot(fig_num=fig_num, title='Model loss', metric='loss', axis_labels=['train', 'validation'], history_labels=['Loss', 'Epoch'], extender='loss_epoch_plot')
        fig_num += 1
        if ('acc' in self._history_keys):
            self.AccOrLossPlot(fig_num=fig_num, title='Model Accuracy', metric='acc', axis_labels=['train', 'validation'], history_labels=['Accuracy', 'Epoch'], extender='accuracy_epoch_plot')
            fig_num += 1
        if ('top_k_categorical_accuracy' in self._history_keys):
            self.AccOrLossPlot(fig_num=fig_num, title='Model Top k Categorical Accuracy', metric='top_k_categorical_accuracy', axis_labels=['train', 'validation'], history_labels=['Top k Categorical Accuracy', 'Epoch'], extender='top_k_categoriacal_epoch_plot')
            fig_num += 1
        if ('categorical_accuracy' in self._history_keys):
            self.AccOrLossPlot(fig_num=fig_num, title='Model Categorical Accuracy', metric='categorical_accuracy', axis_labels=['train', 'validation'], history_labels=['Categorical Accuracy', 'Epoch'], extender='categoriacal_epoch_plot')
            fig_num += 1
        if ('lr' in self._history_keys):
            self.LearningPlot(fig_num=fig_num, title='Model Learning Rate')
            fig_num += 1
    except Exception as ex:
        template = 'An exception of type {0} occurred in [HistoryPlotter.OldPlotHistory]. Arguments:\n{1!r}'
        message = template.format(type(ex).__name__, ex.args)
        print(message)
This method plot the history in the old way.
def OldPlotHistory(self):
    '\n        \n        '
    try:
        fig_num: int = 1
        self.AccOrLossPlot(fig_num=fig_num, title='Model loss', metric='loss', axis_labels=['train', 'validation'], history_labels=['Loss', 'Epoch'], extender='loss_epoch_plot')
        fig_num += 1
        if ('acc' in self._history_keys):
            self.AccOrLossPlot(fig_num=fig_num, title='Model Accuracy', metric='acc', axis_labels=['train', 'validation'], history_labels=['Accuracy', 'Epoch'], extender='accuracy_epoch_plot')
            fig_num += 1
        if ('top_k_categorical_accuracy' in self._history_keys):
            self.AccOrLossPlot(fig_num=fig_num, title='Model Top k Categorical Accuracy', metric='top_k_categorical_accuracy', axis_labels=['train', 'validation'], history_labels=['Top k Categorical Accuracy', 'Epoch'], extender='top_k_categoriacal_epoch_plot')
            fig_num += 1
        if ('categorical_accuracy' in self._history_keys):
            self.AccOrLossPlot(fig_num=fig_num, title='Model Categorical Accuracy', metric='categorical_accuracy', axis_labels=['train', 'validation'], history_labels=['Categorical Accuracy', 'Epoch'], extender='categoriacal_epoch_plot')
            fig_num += 1
        if ('lr' in self._history_keys):
            self.LearningPlot(fig_num=fig_num, title='Model Learning Rate')
            fig_num += 1
    except Exception as ex:
        template = 'An exception of type {0} occurred in [HistoryPlotter.OldPlotHistory]. Arguments:\n{1!r}'
        message = template.format(type(ex).__name__, ex.args)
        print(message)