def test_pipeline(self):
rnds = np.random.RandomState(0)
R12 = rnds.rand(50, 30)
R13 = rnds.rand(50, 40)
R23 = rnds.rand(30, 40)
t1 = ObjectType('type1', 30)
t2 = ObjectType('type2', 40)
t3 = ObjectType('type3', 40)
relations = [
Relation(R12, t1, t2),
Relation(R13, t1, t3),
Relation(R23, t2, t3)
]
fusion_graph = FusionGraph()
fusion_graph.add_relations_from(relations)
fuser = Dfmf(random_state=rnds).fuse(fusion_graph)
self.assertEqual(fuser.factor(t1).shape, (50, 30))
self.assertEqual(fuser.factor(t2).shape, (30, 40))
self.assertEqual(fuser.factor(t3).shape, (40, 40))
self.assertEqual(fuser.backbone(relations[0]).shape, (30, 40))
self.assertEqual(fuser.backbone(relations[1]).shape, (30, 40))
self.assertEqual(fuser.backbone(relations[2]).shape, (40, 40))
new_R12 = rnds.rand(15, 30)
new_R13 = rnds.rand(15, 40)
new_relations = [Relation(new_R12, t1, t2), Relation(new_R13, t1, t3)]
new_graph = FusionGraph(new_relations)
transformer = DfmfTransform(random_state=rnds).transform(
t1, new_graph, fuser)
self.assertEqual(transformer.factor(t1).shape, (15, 30))
def test_transformation(self):
R12 = np.random.rand(5, 3)
t1 = ObjectType('type1', 2)
t2 = ObjectType('type2', 2)
relation = Relation(R12, t1, t2)
fusion_graph = FusionGraph()
fusion_graph.add_relation(relation)
rnds = np.random.RandomState(0)
fuser = Dfmf(init_type='random', random_state=rnds,
max_iter=100).fuse(fusion_graph)
new_R12 = R12[:2].copy()
new_graph = FusionGraph([Relation(new_R12, t1, t2)])
new_rnds = np.random.RandomState(0)
transformer = DfmfTransform(random_state=new_rnds).transform(
t1, new_graph, fuser)
new_G1 = transformer.factor(t1)
G1 = fuser.factor(t1)
G2 = fuser.factor(t2)
S12 = fuser.backbone(relation)
new_R12_hat = np.dot(new_G1, np.dot(S12, G2.T))
R12_hat = np.dot(G1, np.dot(S12, G2.T))
diff_G1 = new_G1 - G1[:2]
diff_hat = new_R12_hat - R12_hat[:2]
self.assertLess(np.sum(diff_G1**2) / diff_G1.size, 1e-5)
self.assertLess(np.sum(diff_hat**2) / diff_hat.size, 1e-5)
def test_transformation(self):
R12 = np.random.rand(5, 3)
t1 = ObjectType('type1', 2)
t2 = ObjectType('type2', 2)
relation = Relation(R12, t1, t2)
fusion_graph = FusionGraph()
fusion_graph.add_relation(relation)
rnds = np.random.RandomState(0)
fuser = Dfmf(init_type='random', random_state=rnds, max_iter=100
).fuse(fusion_graph)
new_R12 = R12[:2].copy()
new_graph = FusionGraph([Relation(new_R12, t1, t2)])
new_rnds = np.random.RandomState(0)
transformer = DfmfTransform(random_state=new_rnds).transform(
t1, new_graph, fuser)
new_G1 = transformer.factor(t1)
G1 = fuser.factor(t1)
G2 = fuser.factor(t2)
S12 = fuser.backbone(relation)
new_R12_hat = np.dot(new_G1, np.dot(S12, G2.T))
R12_hat = np.dot(G1, np.dot(S12, G2.T))
diff_G1 = new_G1 - G1[:2]
diff_hat = new_R12_hat - R12_hat[:2]
self.assertLess(np.sum(diff_G1 ** 2) / diff_G1.size, 1e-5)
self.assertLess(np.sum(diff_hat ** 2) / diff_hat.size, 1e-5)
def test_pipeline(self):
rnds = np.random.RandomState(0)
R12 = rnds.rand(50, 30)
R13 = rnds.rand(50, 40)
R23 = rnds.rand(30, 40)
t1 = ObjectType('type1', 30)
t2 = ObjectType('type2', 40)
t3 = ObjectType('type3', 40)
relations = [Relation(R12, t1, t2),
Relation(R13, t1, t3), Relation(R23, t2, t3)]
fusion_graph = FusionGraph()
fusion_graph.add_relations_from(relations)
fuser = Dfmf(random_state=rnds).fuse(fusion_graph)
self.assertEqual(fuser.factor(t1).shape, (50, 30))
self.assertEqual(fuser.factor(t2).shape, (30, 40))
self.assertEqual(fuser.factor(t3).shape, (40, 40))
self.assertEqual(fuser.backbone(relations[0]).shape, (30, 40))
self.assertEqual(fuser.backbone(relations[1]).shape, (30, 40))
self.assertEqual(fuser.backbone(relations[2]).shape, (40, 40))
new_R12 = rnds.rand(15, 30)
new_R13 = rnds.rand(15, 40)
new_relations = [Relation(new_R12, t1, t2), Relation(new_R13, t1, t3)]
new_graph = FusionGraph(new_relations)
transformer = DfmfTransform(random_state=rnds).transform(t1, new_graph, fuser)
self.assertEqual(transformer.factor(t1).shape, (15, 30))
