How to use the livelossplot.core.MATPLOTLIB_TARGET function in livelossplot

def draw(self):
        if self.target == MATPLOTLIB_TARGET:
            draw_plot(self.logs, self.base_metrics,
                      figsize=self.figsize,
                      max_epoch=self.max_epoch,
                      max_cols=self.max_cols,
                      series_fmt=self.series_fmt,
                      metric2title=self.metric2title,
                      skip_first=self.skip_first,
                      extra_plots=self.extra_plots,
                      fig_path=self.fig_path)
            if self.metrics_extrema:
                print_extrema(self.logs,
                              self.base_metrics,
                              self.metrics_extrema,
                              series_fmt=self.series_fmt,
                              metric2title=self.metric2title)
        if self.target == NEPTUNE_TARGET:

def _validate_target(self):
        assert isinstance(self.target, str),\
            'target must be str, got "{}" instead.'.format(type(self.target))
        if self.target != MATPLOTLIB_TARGET and self.target != NEPTUNE_TARGET:
            raise ValueError('Target must be "{}" or "{}", got "{}" instead.'.format(MATPLOTLIB_TARGET, NEPTUNE_TARGET, self.target))

def __init__(self,
                 figsize=None,
                 cell_size=(6, 4),
                 dynamic_x_axis=False,
                 max_cols=2,
                 max_epoch=None,
                 metric2title={},
                 series_fmt={'training': '{}', 'validation':'val_{}'},
                 validation_fmt="val_{}",
                 plot_extrema=True,
                 skip_first=2,
                 extra_plots=[],
                 fig_path=None,
                 tensorboard_dir=None,
                 target=MATPLOTLIB_TARGET):
        self.figsize = figsize
        self.cell_size = cell_size
        self.dynamic_x_axis = dynamic_x_axis
        self.max_cols = max_cols
        self.max_epoch = max_epoch
        self.metric2title = metric2title
        self.series_fmt = series_fmt
        if validation_fmt is not None:
            # backward compatibility
            self.series_fmt['validation'] = validation_fmt
        self.logs = None
        self.base_metrics = None
        self.metrics_extrema = None
        self.plot_extrema = plot_extrema
        self.skip_first = skip_first
        self.target = target