Fixed laplace seed, added debugging for misc tests

GPy/inference/latent_function_inference/laplace.py

@@ -171,7 +171,9 @@ class Laplace(LatentFunctionInference):
         #define the objective function (to be maximised)
         def obj(Ki_f, f):
             ll = -0.5*np.sum(np.dot(Ki_f.T, f)) + np.sum(likelihood.logpdf(f, Y, Y_metadata=Y_metadata))
+            print ll
             if np.isnan(ll):
+                import ipdb; ipdb.set_trace()  # XXX BREAKPOINT
                 return -np.inf
             else:
                 return ll

GPy/testing/likelihood_tests.py

@@ -9,8 +9,7 @@ import inspect
 from GPy.likelihoods import link_functions
 from GPy.core.parameterization import Param
 from functools import partial
-#np.random.seed(300)
-#np.random.seed(4)
+fixed_seed = 0
 
 #np.seterr(divide='raise')
 def dparam_partial(inst_func, *args):
@@ -105,7 +104,7 @@ class TestNoiseModels(object):
     Generic model checker
     """
     def setUp(self):
-        np.random.seed(0)
+        np.random.seed(fixed_seed)
         self.N = 15
         self.D = 3
         self.X = np.random.rand(self.N, self.D)*10
@@ -704,6 +703,7 @@ class LaplaceTests(unittest.TestCase):
     """
 
     def setUp(self):
+        np.random.seed(fixed_seed)
         self.N = 15
         self.D = 1
         self.X = np.random.rand(self.N, self.D)*10

GPy/testing/misc_tests.py

@@ -17,6 +17,8 @@ class MiscTests(np.testing.TestCase):
             assert np.isinf(np.exp(self._lim_val_exp + 1))
             assert np.isfinite(GPy.util.misc.safe_exp(self._lim_val_exp + 1))
 
+            print w
+            print len(w)
             assert len(w)==1 # should have one overflow warning
 
     def test_safe_exp_lower(self):