Loosen test thresholds for multiplex parameter estimation

This is the least robust of the multi-layer network topology
models and sometimes causes issues in our stochastic test suites.

Author: ragibson

tests/test_multiplex_parameter_estimation.py

@@ -49,10 +49,10 @@ def assert_multiplex_SBM_correct_convergence(self, first_layer_membership, copyi
                                                                                   model='multiplex')
 
         # check we converged close to the ground truth "correct" values
-        # the multiplex omega estimation seems less accurate than in other models, perhaps due to
-        # the copying probability approximation
-        self.assertLess(abs(true_gamma - gamma), 0.05)
-        self.assertLess(abs(true_omega - omega), 0.15)
+        # the multiplex parameter estimation is much less robust and less accurate than in other models,
+        # perhaps due to the copying probability approximation
+        self.assertLess(abs(true_gamma - gamma), 0.1)
+        self.assertLess(abs(true_omega - omega), 0.2)
 
     def test_multiplex_SBM_correct_convergence_varying_copying_probabilty(self):
         for eta in [0.25, 0.5, 0.75, 0.9]: