def test_parameter_simple(self):
alpha = DirichletParameterNode(
'theta',
Factor(['X0', 'X1'], {
'X0': ['x0_0', 'x0_1'],
'X1': ['x1_0'],
}, {
('x0_0', 'x1_0'): 3,
('x0_1', 'x1_0'): 1,
}))
factor = DirichletFactorNode('factor')
x0 = DiscreteVariableNode('X0', ['x0_0', 'x0_1'])
x1 = DiscreteVariableNode('X1', ['x1_0'])
x1.observed({('x1_0', ): 1})
factor.connect(alpha)
factor.connect(x0, parent=False)
factor.connect(x1, parent=True)
x0.message_to(factor)
x1.message_to(factor)
factor.update()
self.assertAlmostEqual(factor.belief[('x0_0', 'x1_0')], 0.5)
factor.message_to(x0)
factor.message_to(x1)
x0.update()
self.assertAlmostEqual(x0.belief[('x0_0', )], 3.0 / 4)
factor.message_to(alpha)
def test_dir_tight(self):
theta = DirichletParameterNode(
'theta',
Factor(['X', 'ZDummy'], {
'X': ['same', 'diff'],
'ZDummy': ['dummy']
}, {
('same', 'dummy'): 1,
('diff', 'dummy'): 1,
},
logarithmetic=False))
X = DiscreteVariableNode('X', ['same', 'diff'], logarithmetic=False)
D = DiscreteVariableNode('ZDummy', ['dummy'], logarithmetic=False)
f = DirichletFactorNode('f')
X.observed({('same', ): 0.8, ('diff', ): 0.2})
f.connect(theta)
f.connect(X, parent=False)
f.connect(D)
X.message_to(f)
D.message_to(f)
f.update()
f.message_to(theta)
theta.message_to(f)
X.observed({('same', ): 0.5, ('diff', ): 0.7})
X.message_to(f)
f.update()
f.message_to(theta)
def test_dir_tight(self):
theta = DirichletParameterNode('theta', Factor(
['X', 'ZDummy'],
{
'X': ['same', 'diff'],
'ZDummy': ['dummy']
},
{
('same', 'dummy'): 1,
('diff', 'dummy'): 1,
},
logarithmetic=False
))
X = DiscreteVariableNode('X', ['same', 'diff'], logarithmetic=False)
D = DiscreteVariableNode('ZDummy', ['dummy'], logarithmetic=False)
f = DirichletFactorNode('f')
X.observed({('same',): 0.8, ('diff',): 0.2})
f.connect(theta)
f.connect(X, parent=False)
f.connect(D)
X.message_to(f)
D.message_to(f)
f.update()
f.message_to(theta)
theta.message_to(f)
X.observed({('same',): 0.5, ('diff',): 0.7})
X.message_to(f)
f.update()
f.message_to(theta)
def test_two_factors_one_theta2(self):
alpha = DirichletParameterNode(
'theta',
Factor(['X0', 'X1'], {
'X0': ['x0_0', 'x0_1'],
'X1': ['x1_0', 'x1_1', 'x1_2'],
}, {
('x0_0', 'x1_0'): 1,
('x0_0', 'x1_1'): 8,
('x0_0', 'x1_2'): 1,
('x0_1', 'x1_0'): 1,
('x0_1', 'x1_1'): 2,
('x0_1', 'x1_2'): 1,
}))
f1 = DirichletFactorNode('f1', aliases={'X0': 'X0_a', 'X1': 'X1_a'})
x0 = DiscreteVariableNode('X0_a', ['x0_0', 'x0_1'])
x1 = DiscreteVariableNode('X1_a', ['x1_0', 'x1_1', 'x1_2'])
f2 = DirichletFactorNode('f2', aliases={'X0': 'X0_b', 'X1': 'X1_b'})
x2 = DiscreteVariableNode('X0_b', ['x0_0', 'x0_1'])
x3 = DiscreteVariableNode('X1_b', ['x1_0', 'x1_1', 'x1_2'])
f1.connect(x0, parent=False)
f1.connect(x1)
f2.connect(x2, parent=False)
f2.connect(x3)
f1.connect(alpha)
f2.connect(alpha)
alpha.aliases = {
'X0_a': 'X0',
'X0_b': 'X0',
'X1_a': 'X1',
'X1_b': 'X1'
}
x0.observed({('x0_0', ): 1})
x1.observed({('x1_0', ): 1})
x2.observed({('x0_1', ): 1})
x3.observed({('x1_0', ): 1})
x0.message_to(f1)
x1.message_to(f1)
x2.message_to(f2)
x3.message_to(f2)
f1.update()
f2.update()
f1.message_to(alpha)
f2.message_to(alpha)
self.assertAlmostEqual(alpha.alpha[('x0_0', 'x1_0')], 2, places=5)
self.assertAlmostEqual(alpha.alpha[('x0_1', 'x1_0')], 2, places=5)
def test_two_factors_one_theta2(self):
alpha = DirichletParameterNode('theta', Factor(
['X0', 'X1'],
{
'X0': ['x0_0', 'x0_1'],
'X1': ['x1_0', 'x1_1', 'x1_2'],
},
{
('x0_0', 'x1_0'): 1,
('x0_0', 'x1_1'): 8,
('x0_0', 'x1_2'): 1,
('x0_1', 'x1_0'): 1,
('x0_1', 'x1_1'): 2,
('x0_1', 'x1_2'): 1,
}
))
f1 = DirichletFactorNode('f1', aliases={'X0': 'X0_a', 'X1': 'X1_a'})
x0 = DiscreteVariableNode('X0_a', ['x0_0', 'x0_1'])
x1 = DiscreteVariableNode('X1_a', ['x1_0', 'x1_1', 'x1_2'])
f2 = DirichletFactorNode('f2', aliases={'X0': 'X0_b', 'X1': 'X1_b'})
x2 = DiscreteVariableNode('X0_b', ['x0_0', 'x0_1'])
x3 = DiscreteVariableNode('X1_b', ['x1_0', 'x1_1', 'x1_2'])
f1.connect(x0, parent=False)
f1.connect(x1)
f2.connect(x2, parent=False)
f2.connect(x3)
f1.connect(alpha)
f2.connect(alpha)
alpha.aliases = {'X0_a': 'X0', 'X0_b': 'X0', 'X1_a': 'X1', 'X1_b': 'X1'}
x0.observed({('x0_0',): 1})
x1.observed({('x1_0',): 1})
x2.observed({('x0_1',): 1})
x3.observed({('x1_0',): 1})
x0.message_to(f1)
x1.message_to(f1)
x2.message_to(f2)
x3.message_to(f2)
f1.update()
f2.update()
f1.message_to(alpha)
f2.message_to(alpha)
print alpha.alpha
self.assertAlmostEqual(alpha.alpha[('x0_0', 'x1_0')], 2, places=5)
self.assertAlmostEqual(alpha.alpha[('x0_1', 'x1_0')], 2, places=5)
def test_parameter(self):
alpha = DirichletParameterNode('theta', Factor(
['X0', 'X1'],
{
'X0': ['x0_0', 'x0_1'],
'X1': ['x1_0', 'x1_1', 'x1_2'],
},
{
('x0_0', 'x1_0'): 1,
('x0_0', 'x1_1'): 8,
('x0_0', 'x1_2'): 1,
('x0_1', 'x1_0'): 1,
('x0_1', 'x1_1'): 2,
('x0_1', 'x1_2'): 1,
}
))
factor = DirichletFactorNode('factor')
x0 = DiscreteVariableNode('X0', ['x0_0', 'x0_1'])
x1 = DiscreteVariableNode('X1', ['x1_0', 'x1_1', 'x1_2'])
x0.observed({('x0_0',): 1})
x1.observed({('x1_0',): 0.7, ('x1_1',): 0.2, ('x1_2',): 0.1})
factor.connect(alpha)
factor.connect(x0, parent=False)
factor.connect(x1, parent=True)
x0.message_to(factor)
x1.message_to(factor)
factor.update()
factor.message_to(x0)
factor.message_to(x1)
x0.update()
factor.message_to(alpha)
print alpha.alpha
alpha.message_to(factor)
factor.update()
factor.message_to(alpha)
print alpha.alpha
def test_parameter_simple(self):
alpha = DirichletParameterNode('theta', Factor(
['X0', 'X1'],
{
'X0': ['x0_0', 'x0_1'],
'X1': ['x1_0'],
},
{
('x0_0', 'x1_0'): 3,
('x0_1', 'x1_0'): 1,
}
))
factor = DirichletFactorNode('factor')
x0 = DiscreteVariableNode('X0', ['x0_0', 'x0_1'])
x1 = DiscreteVariableNode('X1', ['x1_0'])
x1.observed({('x1_0',): 1})
factor.connect(alpha)
factor.connect(x0, parent=False)
factor.connect(x1, parent=True)
x0.message_to(factor)
x1.message_to(factor)
factor.update()
self.assertAlmostEqual(factor.belief[('x0_0', 'x1_0')], 0.5)
factor.message_to(x0)
factor.message_to(x1)
x0.update()
self.assertAlmostEqual(x0.belief[('x0_0',)], 3.0/4)
factor.message_to(alpha)
print alpha.alpha
