code: def plot_scales(self, titles=None, fig_kwargs={}, **kwargs):
          
          from ..plotting import plotting_library as pl
  
          if titles is None:
              titles = [r'${}$'.format(name) for name in self.names]
  
          M = len(self.bgplvms)
          fig = pl().figure(rows=1, cols=M, **fig_kwargs)
          for c in range(M):
              canvas = self.bgplvms[c].kern.plot_ARD(title=titles[c], figure=fig, col=c+1, **kwargs)
          return canvas
docs: Plot input sensitivity for all datasets, to see which input dimensions are
          significant for which dataset.
  
          :param titles: titles for axes of datasets
  
          kwargs go into plot_ARD for each kernel.