def test_dfmc(self):
rnds = np.random.RandomState(0)
R12 = rnds.rand(30, 30)
R13 = rnds.rand(30, 30)
t1 = ObjectType('type1', 50)
t2 = ObjectType('type2', 30)
t3 = ObjectType('type3', 10)
fusion_graph = FusionGraph()
relations = [Relation(R12, t1, t2), Relation(R13, t1, t3)]
fusion_graph.add_relations_from(relations)
fuser = Dfmc(init_type='random', random_state=rnds, n_run=3
).fuse(fusion_graph)
self.assertEqual(len(list(fuser.factor(t1))), 3)
self.assertEqual(len(list(fuser.factor(t2))), 3)
self.assertEqual(len(list(fuser.factor(t3))), 3)
self.assertEqual(len(list(fuser.backbone(relations[0]))), 3)
self.assertEqual(len(list(fuser.backbone(relations[1]))), 3)
for object_type in [t1, t2, t3]:
for factor in fuser.factor(object_type):
self.assertEqual(factor.shape, (30, object_type.rank))
G1 = fuser.factor(t1, run=1)
S13 = fuser.backbone(relations[1], run=1)
G3 = fuser.factor(t3, run=1)
R13_hat = np.dot(G1, np.dot(S13, G3.T))
completed = fuser.complete(relations[1], run=1)
np.testing.assert_almost_equal(completed, R13_hat)
def test_dfmc(self):
rnds = np.random.RandomState(0)
R12 = rnds.rand(30, 30)
R13 = rnds.rand(30, 30)
t1 = ObjectType('type1', 50)
t2 = ObjectType('type2', 30)
t3 = ObjectType('type3', 10)
fusion_graph = FusionGraph()
relations = [Relation(R12, t1, t2), Relation(R13, t1, t3)]
fusion_graph.add_relations_from(relations)
fuser = Dfmc(init_type='random', random_state=rnds,
n_run=3).fuse(fusion_graph)
self.assertEqual(len(list(fuser.factor(t1))), 3)
self.assertEqual(len(list(fuser.factor(t2))), 3)
self.assertEqual(len(list(fuser.factor(t3))), 3)
self.assertEqual(len(list(fuser.backbone(relations[0]))), 3)
self.assertEqual(len(list(fuser.backbone(relations[1]))), 3)
for object_type in [t1, t2, t3]:
for factor in fuser.factor(object_type):
self.assertEqual(factor.shape, (30, object_type.rank))
G1 = fuser.factor(t1, run=1)
S13 = fuser.backbone(relations[1], run=1)
G3 = fuser.factor(t3, run=1)
R13_hat = np.dot(G1, np.dot(S13, G3.T))
completed = fuser.complete(relations[1], run=1)
np.testing.assert_almost_equal(completed, R13_hat)
def test_dfmc(self):
rnds = np.random.RandomState(0)
R12_1 = np.random.rand(30, 30)
R12_2 = np.random.rand(30, 30)
R13 = np.random.rand(30, 20)
t1 = ObjectType('type1', 30)
t2 = ObjectType('type2', 30)
t3 = ObjectType('type3', 20)
relations = [
Relation(R12_1, t1, t2),
Relation(R12_2, t1, t2),
Relation(R13, t1, t3)
]
fusion_graph = FusionGraph()
fusion_graph.add_relations_from(relations)
self.assertEqual(len(fusion_graph.relations), 3)
self.assertEqual(len(fusion_graph.object_types), 3)
fuser = Dfmc(init_type='random', random_state=rnds).fuse(fusion_graph)
self.assertEqual(fuser.backbone(relations[0]).shape, (30, 30))
self.assertEqual(fuser.backbone(relations[1]).shape, (30, 30))
self.assertEqual(fuser.backbone(relations[2]).shape, (30, 20))
G1 = fuser.factor(t1)
G2 = fuser.factor(t2)
S12_1 = fuser.backbone(relations[0])
S12_2 = fuser.backbone(relations[1])
R12_1_hat = np.dot(G1, np.dot(S12_1, G2.T))
R12_2_hat = np.dot(G1, np.dot(S12_2, G2.T))
np.testing.assert_almost_equal(fuser.complete(relations[0]), R12_1_hat)
np.testing.assert_almost_equal(fuser.complete(relations[1]), R12_2_hat)
def test_dfmc(self):
rnds = np.random.RandomState(0)
R12_1 = np.random.rand(30, 30)
R12_2 = np.random.rand(30, 30)
R13 = np.random.rand(30, 20)
t1 = ObjectType('type1', 30)
t2 = ObjectType('type2', 30)
t3 = ObjectType('type3', 20)
relations = [Relation(R12_1, t1, t2), Relation(R12_2, t1, t2),
Relation(R13, t1, t3)]
fusion_graph = FusionGraph()
fusion_graph.add_relations_from(relations)
self.assertEqual(len(fusion_graph.relations), 3)
self.assertEqual(len(fusion_graph.object_types), 3)
fuser = Dfmc(init_type='random', random_state=rnds).fuse(fusion_graph)
self.assertEqual(fuser.backbone(relations[0]).shape, (30, 30))
self.assertEqual(fuser.backbone(relations[1]).shape, (30, 30))
self.assertEqual(fuser.backbone(relations[2]).shape, (30, 20))
G1 = fuser.factor(t1)
G2 = fuser.factor(t2)
S12_1 = fuser.backbone(relations[0])
S12_2 = fuser.backbone(relations[1])
R12_1_hat = np.dot(G1, np.dot(S12_1, G2.T))
R12_2_hat = np.dot(G1, np.dot(S12_2, G2.T))
np.testing.assert_almost_equal(fuser.complete(relations[0]), R12_1_hat)
np.testing.assert_almost_equal(fuser.complete(relations[1]), R12_2_hat)
def test_dfmc(self):
rnds = np.random.RandomState(0)
R12 = rnds.rand(50, 30)
t1 = ObjectType('type1', 50)
t2 = ObjectType('type2', 30)
relation = Relation(R12, t1, t2)
fusion_graph = FusionGraph()
fusion_graph.add_relation(relation)
fuser = Dfmc(init_type='random', random_state=rnds).fuse(fusion_graph)
self.assertEqual(fuser.backbone(relation).shape, (50, 30))
self.assertEqual(fuser.factor(t1).shape, (50, 50))
self.assertEqual(fuser.factor(t2).shape, (30, 30))
np.testing.assert_almost_equal(fuser.complete(relation), relation.data)
def test_dfmc(self):
rnds = np.random.RandomState(0)
R12 = rnds.rand(50, 30)
t1 = ObjectType('type1', 50)
t2 = ObjectType('type2', 30)
relation = Relation(R12, t1, t2)
fusion_graph = FusionGraph()
fusion_graph.add_relation(relation)
fuser = Dfmc(init_type='random', random_state=rnds).fuse(fusion_graph)
self.assertEqual(fuser.backbone(relation).shape, (50, 30))
self.assertEqual(fuser.factor(t1).shape, (50, 50))
self.assertEqual(fuser.factor(t2).shape, (30, 30))
np.testing.assert_almost_equal(fuser.complete(relation), relation.data)
def test_postprocessors(self):
rnds = np.random.RandomState(0)
R12 = rnds.rand(50, 30)
R12 = np.ma.masked_greater(R12, 0.7)
t1 = ObjectType('type1', 50)
t2 = ObjectType('type2', 30)
def postprocessor(data):
return data - 10
relation = Relation(R12, t1, t2, name='R', postprocessor=postprocessor)
fusion_graph = FusionGraph()
fusion_graph.add_relation(relation)
fuser = Dfmc(init_type='random', random_state=rnds).fuse(fusion_graph)
self.assertEqual(fuser.backbone(relation).shape, (50, 30))
self.assertEqual(fuser.factor(t1).shape, (50, 50))
self.assertEqual(fuser.factor(t2).shape, (30, 30))
trnf = relation.data - 10
np.testing.assert_almost_equal(fuser.complete(relation), trnf)
np.testing.assert_equal(fusion_graph.get_relation('R').data, R12)
def test_postprocessors(self):
rnds = np.random.RandomState(0)
R12 = rnds.rand(50, 30)
R12 = np.ma.masked_greater(R12, 0.7)
t1 = ObjectType('type1', 50)
t2 = ObjectType('type2', 30)
def postprocessor(data):
return data - 10
relation = Relation(R12, t1, t2, name='R', postprocessor=postprocessor)
fusion_graph = FusionGraph()
fusion_graph.add_relation(relation)
fuser = Dfmc(init_type='random', random_state=rnds).fuse(fusion_graph)
self.assertEqual(fuser.backbone(relation).shape, (50, 30))
self.assertEqual(fuser.factor(t1).shape, (50, 50))
self.assertEqual(fuser.factor(t2).shape, (30, 30))
trnf = relation.data - 10
np.testing.assert_almost_equal(fuser.complete(relation), trnf)
np.testing.assert_equal(fusion_graph.get_relation('R').data, R12)