def test_compute_w(self):
""" Computing W without computing H doesn't make much sense for chnmf..
"""
mdl = CHNMF(self.data, num_bases=3)
mdl.H = self.H
mdl.factorize(niter=10, compute_h=False)
assert_set_equal(mdl.W, self.W, decimal=2)
def test_cnmf(self):
mdl = BNMF(self.data, num_bases=2)
mdl.factorize(niter=100)
assert_set_equal(mdl.W, self.W, decimal=1)
assert_set_equal(mdl.H.T, self.H, decimal=1)
rec = mdl.frobenius_norm()
assert(rec <= 0.1)
def test_rnmf(self):
mdl = RNMF(self.data, num_bases=2)
# nmf forms a cone in the input space, but it is unlikely to hit the
# cone exactly.
mdl.factorize(niter=50)
assert_set_equal(mdl.W.T / np.sum(mdl.W, axis=1), self.W, decimal=1)
# the reconstruction quality should still be close to perfect
rec = mdl.frobenius_norm()
assert_almost_equal(0.0, rec, decimal=1)
def test_nmf(self):
mdl = NMF(self.data, num_bases=2)
# nmf forms a cone in the input space, but it is unlikely to hit the
# cone exactly.
mdl.factorize(niter=50)
assert_set_equal(mdl.W, self.W, decimal=1)
# since the basis vector will be close to 1/0, the coefficients should
# converge to the original data.
assert_set_equal(mdl.H.T, self.data.T, decimal=1)
# the reconstruction quality should still be close to perfect
rec = mdl.frobenius_norm()
assert_almost_equal(0.0, rec, decimal=1)
def test_cnmf(self):
mdl = CNMF(self.data, num_bases=2)
# nmf forms a cone in the input space, but it is unlikely to hit the
# cone exactly.
mdl.factorize(niter=100)
W = mdl.W/np.sum(mdl.W, axis=0)
assert_set_equal(W, self.W, decimal=1)
# since the basis vector will be close to 1/0, the coefficients should
# converge to the original data.
H = mdl.H/np.sum(mdl.H, axis=0)
assert_set_equal(H.T, self.H, decimal=1)
# the reconstruction quality should still be close to perfect
rec = mdl.frobenius_norm()
assert(rec <= 0.1)
def test_compute_h(self):
mdl = CHNMF(self.data, num_bases=3)
mdl.W = self.W
mdl.factorize(niter=10, compute_w=False)
assert_set_equal(mdl.H, self.H, decimal=2)
def test_compute_w(self):
mdl = SIVM(self.data, num_bases=3)
mdl.H = self.H
mdl.factorize(niter=10, compute_h=False)
assert_set_equal(mdl.W, self.W, decimal=2)
