def setUp(self):
self.mu1 = array([0, 0, 0])
self.sig = eye(3)
self.mu2 = array([5, 5, 5])
self.clst1 = DPCluster(.25, self.mu1, self.sig)
self.clst2 = DPCluster(.25, self.mu1, self.sig)
self.clst3 = DPCluster(.5, self.mu2, self.sig)
self.mix = ModalDPMixture([self.clst1, self.clst2, self.clst3], {
0: [0, 1], 1: [2]}, {0: self.mu1, 1: self.mu2})
def setUp(self):
self.mu1 = array([0,0,0])
self.sig = eye(3)
self.mu2 = array([5,5,5])
self.clst1 = DPCluster(.25, self.mu1, self.sig)
self.clst2 = DPCluster(.25, self.mu1, self.sig)
self.clst3 = DPCluster(.5, self.mu2, self.sig)
self.mix = ModalDPMixture([self.clst1, self.clst2, self.clst3], {0 : [0,1], 1 : [2]}, {0: self.mu1, 1:self.mu2})
class ModalDp_clusterTestCase(unittest.TestCase):
def setUp(self):
self.mu1 = array([0, 0, 0])
self.sig = eye(3)
self.mu2 = array([5, 5, 5])
self.clst1 = DPCluster(.25, self.mu1, self.sig)
self.clst2 = DPCluster(.25, self.mu1, self.sig)
self.clst3 = DPCluster(.5, self.mu2, self.sig)
self.mix = ModalDPMixture([self.clst1, self.clst2, self.clst3], {
0: [0, 1],
1: [2]
}, {
0: self.mu1,
1: self.mu2
})
def tearDown(self):
pass
def testModes(self):
assert all(self.mix.modes()[0] == self.mu1)
assert all(self.mix.modes()[1] == self.mu2)
def testprob(self):
pnt = array([1, 1, 1])
for i in [self.clst1, self.clst2]:
assert i.prob(pnt) <= 1, 'prob of clst %s is > 1' % i
assert i.prob(pnt) >= 0, 'prob of clst %s is < 0' % i
def testmixprob(self):
pnt = array([1, 1, 1])
assert self.mix.prob(pnt)[0] == (
self.clst1.prob(pnt) + self.clst2.prob(pnt)
), 'mixture generates different prob then compoent 1'
assert self.mix.prob(pnt)[1] == self.clst3.prob(
pnt), 'mixture generates different prob then compoent 2'
def testclassify(self):
pnt = array([self.mu1, self.mu2])
assert self.mix.classify(
array([self.mu1, self.mu2, self.mu1, self.mu2, self.mu1,
self.mu2])).tolist() == [0, 1, 0, 1, 0,
1], 'classify not working'
assert self.mix.classify(pnt)[
0] == 0, 'classify classifys mu1 as belonging to something else'
assert self.mix.classify(pnt)[
1] == 1, 'classify classifys m21 as belonging to something else'
def testDraw(self):
x = self.mix.draw(10)
assert x.shape[0] == 10, "Number of drawed rows is wrong"
assert x.shape[1] == 3, "number of drawed columns is wrong"
class ModalDp_clusterTestCase(unittest.TestCase):
def setUp(self):
self.mu1 = array([0,0,0])
self.sig = eye(3)
self.mu2 = array([5,5,5])
self.clst1 = DPCluster(.25, self.mu1, self.sig)
self.clst2 = DPCluster(.25, self.mu1, self.sig)
self.clst3 = DPCluster(.5, self.mu2, self.sig)
self.mix = ModalDPMixture([self.clst1, self.clst2, self.clst3], {0 : [0,1], 1 : [2]}, {0: self.mu1, 1:self.mu2})
def tearDown(self):
pass
def testLen(self):
self.assertEqual(len(self.mix), 2, 'length wrong')
def testEnumerateClusters(self):
for i,j in self.mix.enumerate_modes():
self.assertIsInstance(i, int, 'wrong return value')
self.assertIsInstance(j, ndarray, 'wrong return value')
def testModes(self):
assert all(self.mix.modes[0] == self.mu1)
assert all(self.mix.modes[1] == self.mu2)
def testprob(self):
pnt = array([1,1,1])
for i in [self.clst1, self.clst2]:
assert i.prob(pnt) <= 1, 'prob of clst %s is > 1' % i
assert i.prob(pnt) >= 0, 'prob of clst %s is < 0' % i
def testmixprob(self):
pnt = array([1,1,1])
assert self.mix.prob(pnt)[0] == (self.clst1.prob(pnt)+self.clst2.prob(pnt)), 'mixture generates different prob then compoent 1'
assert self.mix.prob(pnt)[1] == self.clst3.prob(pnt), 'mixture generates different prob then compoent 2'
def testmixproblogged(self):
pnt = array([1,1,1])
assert self.mix.prob(pnt, logged=True)[0] == logsumexp([self.clst1.prob(pnt, logged=True),self.clst2.prob(pnt, logged=True)]), 'mixture generates different prob then compoent 1'
assert self.mix.prob(pnt)[1] == self.clst3.prob(pnt), 'mixture generates different prob then compoent 2'
def testclassify(self):
pnt = array([self.mu1, self.mu2])
assert self.mix.classify(array([self.mu1, self.mu2, self.mu1, self.mu2, self.mu1, self.mu2])).tolist() == [0,1,0,1,0,1], 'classify not working'
assert self.mix.classify(pnt)[0] == 0, 'classify classifys mu1 as belonging to something else'
assert self.mix.classify(pnt)[1] == 1, 'classify classifys m21 as belonging to something else'
def testDraw(self):
x = self.mix.draw(10)
assert x.shape[0] == 10, "Number of drawed rows is wrong"
assert x.shape[1] == 3, "number of drawed columns is wrong"
def testarith(self):
adder = 3
array_adder = array([1, 2, 3])
mat_adder = eye(3)
# add
b = self.mix + adder
self.assertIsInstance(b, ModalDPMixture, 'integer addition return wrong type')
assert_equal(b.mus[0], self.mix.mus[0] + adder,
'integer addition returned wrong value')
assert_equal(b.modes[0], self.mix.modes[0] + adder)
c = self.mix + array_adder
self.assertIsInstance(c, ModalDPMixture, 'array addition return wrong type')
assert_array_equal(c.mus[0], self.mix.mus[0] + array_adder,
'array addition returned wrong value')
assert_equal(c.modes[0], self.mix.modes[0] + array_adder)
# radd
b = adder + self.mix
self.assertIsInstance(b, ModalDPMixture, 'integer addition return wrong type')
assert_array_equal(b.mus[0], adder + self.mix.mus[0],
'integer addition returned wrong value')
c = array_adder + self.mix
self.assertIsInstance(c, ModalDPMixture, 'array addition return wrong type')
assert_array_equal(c.mus[0], array_adder + self.mix.mus[0],
'array addition returned wrong value')
# sub
b = self.mix - adder
self.assertIsInstance(b, ModalDPMixture, 'integer subtraction return wrong type')
assert_array_equal(b.mus[0], self.mix.mus[0] - adder,
'integer subtraction returned wrong value')
c = self.mix - array_adder
self.assertIsInstance(c, ModalDPMixture, 'array subtraction return wrong type')
assert_array_equal(c.mus[0], self.mix.mus[0] - array_adder,
'array subtraction returned wrong value')
# rsub
b = adder - self.mix
self.assertIsInstance(b, ModalDPMixture, 'integer subtraction return wrong type')
assert_array_equal(b.mus[0], adder - self.mix.mus[0],
'integer subtraction returned wrong value')
c = array_adder - self.mix
self.assertIsInstance(c, ModalDPMixture, 'array subtraction return wrong type')
assert_array_equal(c.mus[0], array_adder - self.mix.mus[0],
'array subtraction returned wrong value')
# mul
b = self.mix * adder
self.assertIsInstance(b, ModalDPMixture, 'integer multiplication return wrong type')
assert_array_equal(b.mus[0], self.mix.mus[0] * adder,
'integer multiplication returned wrong value')
c = self.mix * array_adder
self.assertIsInstance(c, ModalDPMixture, 'array multiplicaton return wrong type')
assert_array_equal(c.mus[0], dot(self.mix.mus[0], array_adder),
'array multiplication returned wrong value')
d = self.mix * mat_adder
self.assertIsInstance(d, ModalDPMixture, 'array multiplicaton return wrong type')
assert_array_equal(d.mus[0], dot(self.mix.mus[0], mat_adder),
'array multiplication returned wrong value')
# rmul
b = adder * self.mix
self.assertIsInstance(b, ModalDPMixture, 'integer multiplication return wrong type')
assert_array_equal(b.mus[0], adder * self.mix.mus[0],
'integer multiplication returned wrong value')
assert_array_equal(b.modes[0], self.mix.modes[0] * adder)
c = array_adder * self.mix
self.assertIsInstance(c, ModalDPMixture, 'array multiplication return wrong type')
assert_array_equal(c.mus[0], dot(array_adder, self.mix.mus[0]),
'array multiplication returned wrong value')
assert_array_equal(c.modes[0], dot(array_adder,self.mix.modes[0]))
d = mat_adder * self.mix
self.assertIsInstance(d, ModalDPMixture, 'array multiplicaton return wrong type')
assert_array_equal(d.mus[0], dot(mat_adder, self.mix.mus[0]),
'array multiplication returned wrong value')
assert_array_equal(d.modes[0], dot(mat_adder,self.mix.modes[0]))
assert_array_equal(d.sigmas[0], dot(mat_adder,dot(self.mix.sigmas[0], mat_adder)),
'array multiplcation failed')
class ModalDPClusterTestCase(unittest.TestCase):
def setUp(self):
self.mu1 = array([0, 0, 0])
self.sig = eye(3)
self.mu2 = array([5, 5, 5])
self.clst1 = DPCluster(.25, self.mu1, self.sig)
self.clst2 = DPCluster(.25, self.mu1, self.sig)
self.clst3 = DPCluster(.5, self.mu2, self.sig)
self.mix = ModalDPMixture([self.clst1, self.clst2, self.clst3], {
0: [0, 1],
1: [2]
}, {
0: self.mu1,
1: self.mu2
})
def tearDown(self):
pass
def test_len(self):
self.assertEqual(len(self.mix), 2, 'length wrong')
def test_enumerate_clusters(self):
for i, j in self.mix.enumerate_modes():
self.assertIsInstance(i, int, 'wrong return value')
self.assertIsInstance(j, ndarray, 'wrong return value')
def test_modes(self):
assert all(self.mix.modes[0] == self.mu1)
assert all(self.mix.modes[1] == self.mu2)
def test_prob(self):
pnt = array([1, 1, 1])
for i in [self.clst1, self.clst2]:
assert i.prob(pnt) <= 1, 'prob of clst %s is > 1' % i
assert i.prob(pnt) >= 0, 'prob of clst %s is < 0' % i
def test_mix_prob(self):
pnt = array([1, 1, 1])
assert self.mix.prob(pnt)[0] == \
(self.clst1.prob(pnt)+self.clst2.prob(pnt)), \
'mixture generates different prob then component 1'
assert self.mix.prob(pnt)[1] == \
self.clst3.prob(pnt), \
'mixture generates different prob then component 2'
def test_mix_prob_logged(self):
pnt = array([1, 1, 1])
assert self.mix.prob(pnt, logged=True)[0] == logsumexp(
[
self.clst1.prob(pnt, logged=True),
self.clst2.prob(pnt, logged=True)
]), \
'mixture generates different prob then component 1'
assert self.mix.prob(pnt)[1] == self.clst3.prob(pnt), \
'mixture generates different prob then component 2'
def test_classify(self):
pnt = array([self.mu1, self.mu2])
assert self.mix.classify(
array([self.mu1, self.mu2, self.mu1, self.mu2, self.mu1,
self.mu2])).tolist() == [0, 1, 0, 1, 0,
1], 'classify not working'
assert self.mix.classify(pnt)[0] == 0, \
'classify classifys mu1 as belonging to something else'
assert self.mix.classify(pnt)[1] == 1, \
'classify classifys m21 as belonging to something else'
def test_draw(self):
x = self.mix.draw(10)
assert x.shape[0] == 10, "Number of drawed rows is wrong"
assert x.shape[1] == 3, "number of drawed columns is wrong"
def testarith(self):
adder = 3
array_adder = array([1, 2, 3])
mat_adder = eye(3)
# add
b = self.mix + adder
self.assertIsInstance(b, ModalDPMixture,
'integer addition return wrong type')
assert_equal(b.mus[0], self.mix.mus[0] + adder,
'integer addition returned wrong value')
assert_equal(b.modes[0], self.mix.modes[0] + adder)
c = self.mix + array_adder
self.assertIsInstance(c, ModalDPMixture,
'array addition return wrong type')
assert_array_equal(c.mus[0], self.mix.mus[0] + array_adder,
'array addition returned wrong value')
assert_equal(c.modes[0], self.mix.modes[0] + array_adder)
# radd
b = adder + self.mix
self.assertIsInstance(b, ModalDPMixture,
'integer addition return wrong type')
assert_array_equal(b.mus[0], adder + self.mix.mus[0],
'integer addition returned wrong value')
c = array_adder + self.mix
self.assertIsInstance(c, ModalDPMixture,
'array addition return wrong type')
assert_array_equal(c.mus[0], array_adder + self.mix.mus[0],
'array addition returned wrong value')
# sub
b = self.mix - adder
self.assertIsInstance(b, ModalDPMixture,
'integer subtraction return wrong type')
assert_array_equal(b.mus[0], self.mix.mus[0] - adder,
'integer subtraction returned wrong value')
c = self.mix - array_adder
self.assertIsInstance(c, ModalDPMixture,
'array subtraction return wrong type')
assert_array_equal(c.mus[0], self.mix.mus[0] - array_adder,
'array subtraction returned wrong value')
# rsub
b = adder - self.mix
self.assertIsInstance(b, ModalDPMixture,
'integer subtraction return wrong type')
assert_array_equal(b.mus[0], adder - self.mix.mus[0],
'integer subtraction returned wrong value')
c = array_adder - self.mix
self.assertIsInstance(c, ModalDPMixture,
'array subtraction return wrong type')
assert_array_equal(c.mus[0], array_adder - self.mix.mus[0],
'array subtraction returned wrong value')
# mul
b = self.mix * adder
self.assertIsInstance(b, ModalDPMixture,
'integer multiplication return wrong type')
assert_array_equal(b.mus[0], self.mix.mus[0] * adder,
'integer multiplication returned wrong value')
c = self.mix * array_adder
self.assertIsInstance(c, ModalDPMixture,
'array multiplicaton return wrong type')
assert_array_equal(c.mus[0], dot(self.mix.mus[0], array_adder),
'array multiplication returned wrong value')
d = self.mix * mat_adder
self.assertIsInstance(d, ModalDPMixture,
'array multiplicaton return wrong type')
assert_array_equal(d.mus[0], dot(self.mix.mus[0], mat_adder),
'array multiplication returned wrong value')
# rmul
b = adder * self.mix
self.assertIsInstance(b, ModalDPMixture,
'integer multiplication return wrong type')
assert_array_equal(b.mus[0], adder * self.mix.mus[0],
'integer multiplication returned wrong value')
assert_array_equal(b.modes[0], self.mix.modes[0] * adder)
c = array_adder * self.mix
self.assertIsInstance(c, ModalDPMixture,
'array multiplication return wrong type')
assert_array_equal(c.mus[0], dot(array_adder, self.mix.mus[0]),
'array multiplication returned wrong value')
assert_array_equal(c.modes[0], dot(array_adder, self.mix.modes[0]))
d = mat_adder * self.mix
self.assertIsInstance(d, ModalDPMixture,
'array multiplication return wrong type')
assert_array_equal(d.mus[0], dot(mat_adder, self.mix.mus[0]),
'array multiplication returned wrong value')
assert_array_equal(d.modes[0], dot(mat_adder, self.mix.modes[0]))
assert_array_equal(d.sigmas[0],
dot(mat_adder, dot(self.mix.sigmas[0], mat_adder)),
'array multiplication failed')
