And the way that we do that, is that for each feature Fl, we assign it a weight lambda I. And, so what we're gonna do is then consider for an observed datum, every particular class that we can give it, and then we're gonna work out what features match against that datum and therefore what the weight of the votes for the class are, in terms of this land dry weights. 