tests: Fix incorrect sigma0 values for likelihood based spm fitting

pybop-team · Jul 2, 2024 · 43cfcb5 · 43cfcb5
1 parent 1b93101
commit 43cfcb5
Showing 1 changed file with 2 additions and 2 deletions.
diff --git a/tests/integration/test_spm_parameterisations.py b/tests/integration/test_spm_parameterisations.py
@@ -69,10 +69,10 @@ def spm_costs(self, model, parameters, cost_class, init_soc):
         # Define the cost to optimise
         problem = pybop.FittingProblem(model, parameters, dataset, init_soc=init_soc)
         if cost_class in [pybop.GaussianLogLikelihoodKnownSigma]:
-            return cost_class(problem, sigma=[0.03, 0.03])
+            return cost_class(problem, sigma=0.002)
         elif cost_class in [pybop.MAP]:
             return cost_class(
-                problem, pybop.GaussianLogLikelihoodKnownSigma, sigma=[0.03, 0.03]
+                problem, pybop.GaussianLogLikelihoodKnownSigma, sigma=0.002
             )
         else:
             return cost_class(problem)