def setup_stats(self, clusters): """ computes error bounds and the minimum volume of a 0-volume cluster adds data structures to cluster object """ Merger.setup_stats(self, clusters) for c in clusters: c.inf_func = self.learner.create_inf_func(c) c.c_range = list(self.c_range) c.inf_range = [c.inf_func(c.c_range[0]), c.inf_func(c.c_range[1])]
def setup_stats(self, clusters): """ computes error bounds and the minimum volume of a 0-volume cluster adds data structures to cluster object """ Merger.setup_stats(self, clusters) for c in clusters: c.inf_func = c.create_inf_func(self.learner.l) c.c_range = list(self.c_range) c.inf_range = [c.inf_func(c.c_range[0]), c.inf_func(c.c_range[1])]