def setUp(self):
SP.random.seed(1)
nr = 3
nc = 5
n_dim1 = 8
n_dim2 = 12
#truncation of soft kronecker
self.n_trunk = 10
Xr = SP.rand(nr, n_dim1)
Xc = SP.rand(nc, n_dim2)
Cr = dlimix_legacy.CCovSqexpARD(n_dim1)
Cr.setX(Xr)
Cc = dlimix_legacy.CCovLinearARD(n_dim2)
Cc.setX(Xc)
self.C = dlimix_legacy.CKroneckerCF()
self.C.setRowCovariance(Cr)
self.C.setColCovariance(Cc)
#set kronecker index
self.kronecker_index = dlimix_legacy.CKroneckerCF.createKroneckerIndex(
nc, nr)
self.n = self.C.Kdim()
self.n_dim = self.C.getNumberDimensions()
self.name = 'CKroneckerCF'
self.n_params = self.C.getNumberParams()
params = SP.exp(SP.randn(self.n_params))
self.C.setParams(params)
def setUp(self):
SP.random.seed(1)
self.n = 10
self.n_dim = 10
X = SP.rand(self.n, self.n_dim)
self.C = dlimix_legacy.CCovSqexpARD(self.n_dim)
self.name = 'CCovSqexpARD'
self.C.setX(X)
K = self.C.K()
self.n_params = self.C.getNumberParams()
params = SP.exp(SP.randn(self.n_params))
self.C.setParams(params)
def setUp(self):
SP.random.seed(1)
self.n = 10
n_dim1 = 8
n_dim2 = 12
self.C = dlimix_legacy.CProductCF()
self.C.addCovariance(dlimix_legacy.CCovSqexpARD(n_dim1))
self.C.addCovariance(dlimix_legacy.CCovLinearARD(n_dim2))
self.n_dim = self.C.getNumberDimensions()
X = SP.rand(self.n, self.n_dim)
self.C.setX(X)
self.name = 'CProductCF'
self.n_params = self.C.getNumberParams()
params = SP.exp(SP.randn(self.n_params))
self.C.setParams(params)
def setUp(self):
SP.random.seed(1)
n1 = 3
n2 = 5
n_dim1 = 8
n_dim2 = 12
X1 = SP.rand(n1, n_dim1)
X2 = SP.rand(n2, n_dim2)
C1 = dlimix_legacy.CCovSqexpARD(n_dim1)
C1.setX(X1)
C2 = dlimix_legacy.CCovLinearARD(n_dim2)
C2.setX(X2)
self.C = dlimix_legacy.CKroneckerCF()
self.C.setRowCovariance(C1)
self.C.setColCovariance(C2)
self.n = self.C.Kdim()
self.n_dim = self.C.getNumberDimensions()
self.name = 'CKroneckerCF'
self.n_params = self.C.getNumberParams()
params = SP.exp(SP.randn(self.n_params))
self.C.setParams(params)