def realtime_learning_curves(runs):
	"""
	example how to extract a different kind of learning curve.
	
	The x values are now the time the runs finished, not the budget anymore.
	We no longer plot the validation loss on the y axis, but now the test accuracy.
	
	This is just to show how to get different information into the interactive plot.
	
	"""
	sr = sorted(runs, key=lambda r: r.budget)
	lc = list(filter(lambda t: not t[1] is None, [(r.time_stamps['finished'], r.info['test accuracy']) for r in sr]))
	return([lc,])