def disc_merge(self, cluster, dim, vals, skip=None): # reject if union is a superset of anything in # rejected_disc_vals vals = set(vals) vals.update(cluster.discretes.get(dim, ())) for subset in self.rejected_disc_vals[dim]: if vals.issuperset(subset): return None merged = Merger.disc_merge(self, cluster, dim, vals, skip) if merged: merged.c_range = list(self.c_range) merged.inf_func = self.learner.create_inf_func(merged) return merged
def disc_merge(self, cluster, dim, vals, skip=None): merged = Merger.disc_merge(self, cluster, dim, vals, skip) if merged: merged.c_range = list(self.c_range) merged.inf_func = merged.create_inf_func(self.learner.l) return merged