In response to bug /ኊ, we need to make sure that the q_sqrt matrix can be fixed
m1 = gpflow.models.SVGP(self.X, self.Y,
kern=gpflow.kernels.RBF(1) + gpflow.kernels.White(1),
likelihood=gpflow.likelihoods.Exponential(),
Z=self.Z)
m1.q_sqrt.fixed = True
m1.compile()
class TestStochasticGradients(GPflowTestCase):
In response to bug /뢱, we need to make sure stochastic update
After Change
In response to bug /ኊ, we need to make sure that the q_sqrt matrix can be fixed
with self.test_context():
m1 = gpflow.models.SVGP(
self.X, self.Y,
kern=gpflow.kernels.RBF(1) + gpflow.kernels.White(1),
likelihood=gpflow.likelihoods.Exponential(),
Z=self.Z)
m1.q_sqrt.trainable = False
m1.compile()
class TestStochasticGradients(GPflowTestCase):
In response to bug /뢱, we need to make sure stochastic update