def test_ChecKGrads_LCB(self):
acquisition_lcb = acquisition_for_test(
AcquisitionLCB(self.model, self.feasible_region))
grad_lcb = GradientChecker(acquisition_lcb.acquisition_function,
acquisition_lcb.d_acquisition_function,
self.X_test)
self.assertTrue(grad_lcb.checkgrad(tolerance=self.tolerance))
def test_ChecKGrads_MPI(self):
acquisition_mpi = AcquisitionMPI(1)
acquisition_mpi.set_model(self.model)
grad_mpi = GradientChecker(
acquisition_mpi.acquisition_function, acquisition_mpi.d_acquisition_function, self.X_test
)
self.assertTrue(grad_mpi.checkgrad(tolerance=self.tolerance))
def test_ChecKGrads_MPI(self):
acquisition_mpi = acquisition_for_test(
AcquisitionMPI(self.model, self.feasible_region))
grad_mpi = GradientChecker(acquisition_mpi.acquisition_function,
acquisition_mpi.d_acquisition_function,
self.X_test)
self.assertTrue(grad_mpi.checkgrad(tolerance=self.tolerance))
def test_ChecKGrads_LCB(self):
acquisition_lcb = AcquisitionLCB(1)
acquisition_lcb.set_model(self.model)
grad_lcb = GradientChecker(
acquisition_lcb.acquisition_function, acquisition_lcb.d_acquisition_function, self.X_test
)
self.assertTrue(grad_lcb.checkgrad(tolerance=self.tolerance))
def test_gradient(self, acq_maxvar):
"""Test the gradient function using GPy's GradientChecker.
Parameters
----------
acq_maxvar : MaxVar
Acquisition method.
"""
from GPy.models.gradient_checker import GradientChecker
n_pts_test = 100
n_dim_fixture = len(acq_maxvar.model.bounds)
checker_grad = GradientChecker(
acq_maxvar.evaluate, acq_maxvar.evaluate_gradient,
np.random.randn(n_pts_test, n_dim_fixture))
# The tolerance corresponds to the allowed deviation from the unity of
# the ratio between analytical and numerical gradients.
assert checker_grad.checkgrad(tolerance=1e-4)
def test_ChecKGrads_MPI(self): acquisition_mpi = AcquisitionMPI(1) acquisition_mpi.set_model(self.model) grad_mpi = GradientChecker(acquisition_mpi.acquisition_function,acquisition_mpi.d_acquisition_function,self.X_test) self.assertTrue(grad_mpi.checkgrad(tolerance=self.tolerance))
def test_ChecKGrads_LCB(self): acquisition_lcb = AcquisitionLCB(1) acquisition_lcb.set_model(self.model) grad_lcb = GradientChecker(acquisition_lcb.acquisition_function,acquisition_lcb.d_acquisition_function,self.X_test) self.assertTrue(grad_lcb.checkgrad(tolerance=self.tolerance))
def test_ChecKGrads_LCB(self): acquisition_lcb = acquisition_for_test(AcquisitionLCB(self.model,self.feasible_region)) grad_lcb = GradientChecker(acquisition_lcb.acquisition_function,acquisition_lcb.d_acquisition_function,self.X_test) self.assertTrue(grad_lcb.checkgrad(tolerance=self.tolerance))
def test_ChecKGrads_MPI(self): acquisition_mpi = acquisition_for_test(AcquisitionMPI(self.model,self.feasible_region)) grad_mpi = GradientChecker(acquisition_mpi.acquisition_function,acquisition_mpi.d_acquisition_function,self.X_test) self.assertTrue(grad_mpi.checkgrad(tolerance=self.tolerance))