Ejemplo n.º 1
0
    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)
Ejemplo n.º 2
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    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)
Ejemplo n.º 5
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    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)
Ejemplo n.º 6
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    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)
Ejemplo n.º 7
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    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)
Ejemplo n.º 8
0
    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)