def test_project(self):
ans = Domain(['a', 'b'], [10, 20])
res = self.domain.project(['a', 'b'])
self.assertEqual(ans, res)
ans = Domain(['c', 'b'], [30, 20])
res = self.domain.project(['c', 'b'])
self.assertEqual(ans, res)
def test_project(self):
proj = self.data.project(['a','b'])
ans = Domain(['a','b'],[3,4])
self.assertEqual(proj.domain, ans)
proj = self.data.project(('a','b'))
self.assertEqual(proj.domain, ans)
proj = self.data.project('c')
self.assertEqual(proj.domain, Domain(['c'], [5]))
def test_eq(self):
attrs = ['a', 'b', 'c', 'd']
shape = [10, 20, 30, 40]
ans = Domain(attrs, shape)
self.assertEqual(self.domain, ans)
attrs = ['b', 'a', 'c', 'd']
ans = Domain(attrs, shape)
self.assertNotEqual(self.domain, ans)
def setUp(self):
attrs = ['a', 'b', 'c', 'd']
shape = [2, 3, 4, 5]
domain = Domain(attrs, shape)
cliques = [('a', 'b'), ('b', 'c'), ('c', 'd')]
self.model = GraphicalModel(domain, cliques)
zeros = {
cl: Factor.zeros(domain.project(cl))
for cl in self.model.cliques
}
self.model.potentials = CliqueVector(zeros)
def test_marginalize(self):
ans = Domain(['a', 'b'], [10, 20])
res = self.domain.marginalize(['c', 'd'])
self.assertEqual(ans, res)
res = self.domain.marginalize(['c', 'd', 'e'])
self.assertEqual(ans, res)
def test_expand(self):
domain = Domain(['a', 'b', 'c', 'd'], [2, 3, 4, 5])
res = self.factor.expand(domain)
self.assertEqual(res.domain, domain)
self.assertEqual(res.values.shape, domain.shape)
res = res.sum(['d']) * 0.2
self.assertTrue(np.allclose(res.values, self.factor.values))
def test_project(self):
res = self.factor.project(['c', 'a'], agg='sum')
ans = Domain(['c', 'a'], [4, 2])
self.assertEqual(res.domain, ans)
self.assertEqual(res.values.shape, (4, 2))
res = self.factor.project(['c', 'a'], agg='logsumexp')
self.assertEqual(res.domain, ans)
self.assertEqual(res.values.shape, (4, 2))
def test_binary(self):
dom = Domain(['b', 'd', 'e'], [3, 5, 6])
vals = np.random.rand(3, 5, 6)
factor = Factor(dom, vals)
res = self.factor * factor
ans = Domain(['a', 'b', 'c', 'd', 'e'], [2, 3, 4, 5, 6])
self.assertEqual(res.domain, ans)
res = self.factor + factor
self.assertEqual(res.domain, ans)
res = self.factor * 2.0
self.assertEqual(res.domain, self.factor.domain)
res = self.factor + 2.0
self.assertEqual(res.domain, self.factor.domain)
res = self.factor - 2.0
self.assertEqual(res.domain, self.factor.domain)
res = self.factor.exp().log()
self.assertEqual(res.domain, self.factor.domain)
self.assertTrue(np.allclose(res.values, self.factor.values))
def setUp(self):
attrs = ['a', 'b', 'c', 'd', 'e']
shape = [2, 3, 4, 5, 6]
self.domain = Domain(attrs, shape)
#x = np.random.rand(*shape)
self.measurements = []
for i in range(4):
I = np.eye(shape[i])
y = np.random.rand(shape[i])
y /= y.sum()
self.measurements.append((I, y, 1.0, attrs[i]))
self.engine = FactoredInference(self.domain, backend='numpy', log=True)
def setUp(self):
attrs = ['a', 'b', 'c']
shape = [2, 3, 4]
domain = Domain(attrs, shape)
values = np.random.rand(*shape)
self.factor = Factor(domain, values)
def test_logsumexp(self):
res = self.factor.logsumexp(['a', 'c'])
values = self.factor.values
ans = np.log(np.sum(np.exp(values), axis=(0, 2)))
self.assertEqual(res.domain, Domain(['b'], [3]))
self.assertTrue(np.allclose(res.values, ans))
def test_sum(self):
res = self.factor.sum(['a', 'b'])
self.assertEqual(res.domain, Domain(['c'], [4]))
self.assertTrue(
np.allclose(res.values, self.factor.values.sum(axis=(0, 1))))
def test_transpose(self):
attrs = ['b', 'c', 'a']
tr = self.factor.transpose(attrs)
ans = Domain(attrs, [3, 4, 2])
self.assertEqual(tr.domain, ans)
class TestDomain(unittest.TestCase):
def setUp(self):
attrs = ['a', 'b', 'c', 'd']
shape = [10, 20, 30, 40]
self.domain = Domain(attrs, shape)
def test_eq(self):
attrs = ['a', 'b', 'c', 'd']
shape = [10, 20, 30, 40]
ans = Domain(attrs, shape)
self.assertEqual(self.domain, ans)
attrs = ['b', 'a', 'c', 'd']
ans = Domain(attrs, shape)
self.assertNotEqual(self.domain, ans)
def test_project(self):
ans = Domain(['a', 'b'], [10, 20])
res = self.domain.project(['a', 'b'])
self.assertEqual(ans, res)
ans = Domain(['c', 'b'], [30, 20])
res = self.domain.project(['c', 'b'])
self.assertEqual(ans, res)
def test_marginalize(self):
ans = Domain(['a', 'b'], [10, 20])
res = self.domain.marginalize(['c', 'd'])
self.assertEqual(ans, res)
res = self.domain.marginalize(['c', 'd', 'e'])
self.assertEqual(ans, res)
def test_axes(self):
ans = (1, 3)
res = self.domain.axes(['b', 'd'])
self.assertEqual(ans, res)
def test_transpose(self):
ans = Domain(['b', 'd', 'a', 'c'], [20, 40, 10, 30])
res = self.domain.transpose(['b', 'd', 'a', 'c'])
self.assertEqual(ans, res)
def test_merge(self):
ans = Domain(['a', 'b', 'c', 'd', 'e', 'f'], [10, 20, 30, 40, 50, 60])
new = Domain(['b', 'd', 'e', 'f'], [20, 40, 50, 60])
res = self.domain.merge(new)
self.assertEqual(ans, res)
def test_contains(self):
new = Domain(['b', 'd'], [20, 40])
self.assertTrue(self.domain.contains(new))
new = Domain(['b', 'e'], [20, 50])
self.assertFalse(self.domain.contains(new))
def test_iter(self):
self.assertEqual(len(self.domain), 4)
for a, b, c in zip(self.domain, ['a', 'b', 'c', 'd'],
[10, 20, 30, 40]):
self.assertEqual(a, b)
self.assertEqual(self.domain[a], c)
def test_transpose(self):
ans = Domain(['b', 'd', 'a', 'c'], [20, 40, 10, 30])
res = self.domain.transpose(['b', 'd', 'a', 'c'])
self.assertEqual(ans, res)
def setUp(self):
attrs = ['a','b','c','d']
shape = [3,4,5,6]
domain = Domain(attrs, shape)
self.data = Dataset.synthetic(domain, 100)
def setUp(self):
attrs = ['a', 'b', 'c', 'd']
shape = [10, 20, 30, 40]
domain = Domain(attrs, shape)
cliques = [('a', 'b'), ('b', 'c'), ('c', 'd')]
self.tree = JunctionTree(domain, cliques)
def test_contains(self):
new = Domain(['b', 'd'], [20, 40])
self.assertTrue(self.domain.contains(new))
new = Domain(['b', 'e'], [20, 50])
self.assertFalse(self.domain.contains(new))
def setUp(self):
attrs = ['a', 'b', 'c', 'd']
shape = [10, 20, 30, 40]
self.domain = Domain(attrs, shape)
def test_merge(self):
ans = Domain(['a', 'b', 'c', 'd', 'e', 'f'], [10, 20, 30, 40, 50, 60])
new = Domain(['b', 'd', 'e', 'f'], [20, 40, 50, 60])
res = self.domain.merge(new)
self.assertEqual(ans, res)
