def test_initialize_lengthscale_prior(self):
kernel = LinearTruncatedFidelityKernel(fidelity_dims=[1, 2],
dimension=3)
self.assertTrue(
isinstance(kernel.covar_module_unbiased.lengthscale_prior,
GammaPrior))
self.assertTrue(
isinstance(kernel.covar_module_biased.lengthscale_prior,
GammaPrior))
kernel2 = LinearTruncatedFidelityKernel(
fidelity_dims=[1, 2],
dimension=3,
lengthscale_prior_unbiased=NormalPrior(1, 1),
)
self.assertTrue(
isinstance(kernel2.covar_module_unbiased.lengthscale_prior,
NormalPrior))
kernel2 = LinearTruncatedFidelityKernel(
fidelity_dims=[1, 2],
dimension=3,
lengthscale_prior_biased=NormalPrior(1, 1),
)
self.assertTrue(
isinstance(kernel2.covar_module_biased.lengthscale_prior,
NormalPrior))
def test_initialize_lengthscale_prior(self):
kernel = LinearTruncatedFidelityKernel()
self.assertTrue(
isinstance(kernel.covar_module_1.lengthscale_prior, GammaPrior))
self.assertTrue(
isinstance(kernel.covar_module_2.lengthscale_prior, GammaPrior))
kernel2 = LinearTruncatedFidelityKernel(
lengthscale_prior=NormalPrior(1, 1))
self.assertTrue(
isinstance(kernel2.covar_module_1.lengthscale_prior, NormalPrior))
kernel2 = LinearTruncatedFidelityKernel(
lengthscale_2_prior=NormalPrior(1, 1))
self.assertTrue(
isinstance(kernel2.covar_module_2.lengthscale_prior, NormalPrior))
def test_initialize_offset_prior(self):
kernel = DownsamplingKernel()
kernel.offset_prior = NormalPrior(1, 1)
self.assertTrue(isinstance(kernel.offset_prior, NormalPrior))
kernel2 = DownsamplingKernel(offset_prior=GammaPrior(1, 1))
self.assertTrue(isinstance(kernel2.offset_prior, GammaPrior))
def test_initialize_power_prior(self):
kernel = LinearTruncatedFidelityKernel(
fidelity_dims=[1, 2], dimension=3, power_prior=NormalPrior(1, 1)
)
self.assertTrue(isinstance(kernel.power_prior, NormalPrior))
def test_initialize_power_prior(self):
kernel = ExpDecayKernel()
kernel.power_prior = NormalPrior(1, 1)
self.assertTrue(isinstance(kernel.power_prior, NormalPrior))
kernel2 = ExpDecayKernel(power_prior=GammaPrior(1, 1))
self.assertTrue(isinstance(kernel2.power_prior, GammaPrior))
def test_initialize_power_prior(self):
kernel = LinearTruncatedFidelityKernel(power_prior=NormalPrior(1, 1))
self.assertTrue(isinstance(kernel.power_prior, NormalPrior))
def test_initialize_offset_prior(self):
kernel = ExponentialDecayKernel()
kernel.offset_prior = NormalPrior(1, 1)
self.assertTrue(isinstance(kernel.offset_prior, NormalPrior))
kernel2 = ExponentialDecayKernel(offset_prior=GammaPrior(1, 1))
self.assertTrue(isinstance(kernel2.offset_prior, GammaPrior))
