Update additive test
@@ -76,7 +76,7 @@ class TestKISSGPAdditiveRegression(unittest.TestCase):
gp_model = GPRegressionModel(train_x.data, train_y.data, likelihood)
mll = gpytorch.mlls.ExactMarginalLogLikelihood(likelihood, gp_model)
- with gpytorch.settings.max_preconditioner_size(5):
+ with gpytorch.settings.max_preconditioner_size(10):
# Optimize the model
gp_model.train()
likelihood.train()
