def test_learn_fresh_model_produces_new_comps(self):
''' Verify that learn_fresh_model produces new components
'''
PRNG = np.random.RandomState(0)
freshModel = self.oneModel.copy()
assert type(freshModel) == HModel
freshSS = BirthMove.learn_fresh_model(freshModel, self.Data, Kfresh=10,
freshInitName='randexamples', freshAlgName='VB',
nFreshLap=50, randstate=PRNG)
assert freshSS.K > 1
assert freshSS.K <= freshModel.obsModel.K
def test_learn_fresh_model_produces_new_comps(self):
''' Verify that learn_fresh_model produces new components
'''
PRNG = np.random.RandomState(0)
freshModel = self.oneModel.copy()
assert type(freshModel) == HModel
freshSS = BirthMove.learn_fresh_model(freshModel,
self.Data,
Kfresh=10,
freshInitName='randexamples',
freshAlgName='VB',
nFreshLap=50,
randstate=PRNG)
assert freshSS.K > 1
assert freshSS.K <= freshModel.obsModel.K
def test_learn_fresh_model_reproducible_random_seed(self):
''' Verify that learn_fresh_model produces same components
when called with same targetData and same randstate
'''
freshModel = self.oneModel.copy()
Nvec = list()
xvec = list()
for trial in range(3):
PRNG = np.random.RandomState(8383)
freshSS = BirthMove.learn_fresh_model(freshModel, self.Data, Kfresh=10,
freshInitName='randexamples', freshAlgName='VB',
nFreshLap=50, randstate=PRNG)
Nvec.append(freshSS.N)
xvec.append(freshSS.x)
assert np.all(Nvec[0] == Nvec[1])
assert np.all(Nvec[0] == Nvec[2])
assert np.all(xvec[0] == xvec[2])
def test_learn_fresh_model_reproducible_random_seed(self):
''' Verify that learn_fresh_model produces same components
when called with same targetData and same randstate
'''
freshModel = self.oneModel.copy()
Nvec = list()
xvec = list()
for trial in range(3):
PRNG = np.random.RandomState(8383)
freshSS = BirthMove.learn_fresh_model(freshModel,
self.Data,
Kfresh=10,
freshInitName='randexamples',
freshAlgName='VB',
nFreshLap=50,
randstate=PRNG)
Nvec.append(freshSS.N)
xvec.append(freshSS.x)
assert np.all(Nvec[0] == Nvec[1])
assert np.all(Nvec[0] == Nvec[2])
assert np.all(xvec[0] == xvec[2])
