def setUp(self):
self.costilts = xp.linspace(-1, 1, 1000)
self.test_data = dict(
cos_tilt_1=xp.einsum("i,j->ij", self.costilts, xp.ones_like(self.costilts)),
cos_tilt_2=xp.einsum("i,j->ji", self.costilts, xp.ones_like(self.costilts)),
)
self.prior = PriorDict(dict(xi_spin=Uniform(0, 1), sigma_spin=Uniform(0, 4)))
self.n_test = 100
def setUp(self):
self.a_array = xp.linspace(0, 1, 1000)
self.test_data = dict(
a_1=xp.einsum('i,j->ij', self.a_array, xp.ones_like(self.a_array)),
a_2=xp.einsum('i,j->ji', self.a_array, xp.ones_like(self.a_array)))
self.prior = PriorDict(
dict(amax=Uniform(0.3, 1), alpha_chi=Uniform(1, 4),
beta_chi=Uniform(1, 4)))
self.n_test = 100
def setUp(self):
self.a_array = xp.linspace(0, 1, 1000)
self.costilts = xp.linspace(-1, 1, 1000)
self.test_data = dict(
a_1=xp.einsum("i,j->ij", self.a_array, xp.ones_like(self.a_array)),
a_2=xp.einsum("i,j->ji", self.a_array, xp.ones_like(self.a_array)),
cos_tilt_1=xp.einsum("i,j->ij", self.costilts, xp.ones_like(self.costilts)),
cos_tilt_2=xp.einsum("i,j->ji", self.costilts, xp.ones_like(self.costilts)),
)
self.prior = PriorDict(
dict(
amax=Uniform(0.3, 1),
alpha_chi=Uniform(1, 4),
beta_chi=Uniform(1, 4),
xi_spin=Uniform(0, 1),
sigma_spin=Uniform(0, 4),
)
)
self.n_test = 100
def setUp(self):
model = lambda x: xp.ones_like(x['a'])
data = dict(a=xp.linspace(0, 1, 1000), vt=2)
self.n_test = 100
self.vt = vt.GridVT(model, data)