def apply_relation(target_dist, landmark_dist, relation, negated, objects):
global relation_word_classifiers
if relation not in relation_word_classifiers:
relation = "UNK_REL"
negated = False
combined = Distribution()
for t in objects:
for l in objects:
if t == l: continue
if negated:
features = get_relational_features(objects[l], objects[t])
else:
features = get_relational_features(objects[t], objects[l])
p = logreg.classify_obj(relation, relation_word_classifiers, features.values())
combined.add(make_id(t,l), target_dist.get(t) * landmark_dist.get(l) * p)
combined.marginalise()
return combined
