diff --git a/xbob/learn/misc/test_em.py b/xbob/learn/misc/test_em.py
index 34e15f271c3519a742ad28561069cea3aec2cff8..bfc8a16d9527d9c480778f04fe5d544e5f9645a6 100644
--- a/xbob/learn/misc/test_em.py
+++ b/xbob/learn/misc/test_em.py
@@ -145,7 +145,6 @@ def test_gmm_MAP_2():
   gmm_adapted.weights = weights
 
   map_adapt.max_iterations = 1
-  print(data.shape)
   map_adapt.train(gmm_adapted, data)
 
   new_means = xbob.io.base.load(datafile('new_adapted_mean.hdf5', __name__))
diff --git a/xbob/learn/misc/test_plda.py b/xbob/learn/misc/test_plda.py
index 210cdaba08c01f138f6912a1dd7e91bd1a864019..a97c7dcd7a5411c65db469fdb15ca521527e34ac 100644
--- a/xbob/learn/misc/test_plda.py
+++ b/xbob/learn/misc/test_plda.py
@@ -247,7 +247,6 @@ def test_plda_basemachine():
     for jj in range(m.__alpha__.shape[1]):
       absdiff = abs(m.__alpha__[ii,jj]- alpha_ref[ii,jj])
       assert absdiff < 1e-10, 'PLDABase alpha matrix does not match reference at (%d,%d) to 10^-10: |%g-%g| = %g' % (ii, jj, m.__alpha__[ii,jj], alpha_ref[ii,jj], absdiff)
-  print(m.__alpha__ - alpha_ref)
   assert equals(m.__alpha__, alpha_ref, 1e-10)
   assert equals(m.__beta__, beta_ref, 1e-10)
   assert equals(gamma3, gamma3_ref, 1e-10)
diff --git a/xbob/learn/misc/test_plda_trainer.py b/xbob/learn/misc/test_plda_trainer.py
index 6ea1c367f8b73627a31807b05b2aeb3f69a071f7..5cfa49d13d747c16692a136714355b884c799a70 100644
--- a/xbob/learn/misc/test_plda_trainer.py
+++ b/xbob/learn/misc/test_plda_trainer.py
@@ -362,8 +362,8 @@ def test_plda_EM_vs_Python():
 
   # Runs the PLDA trainer EM-steps (2 steps)
   # Defines base trainer and machine
-  t = PLDATrainer(10)
-  t_py = PythonPLDATrainer()
+  t = PLDATrainer(1)
+  t_py = PythonPLDATrainer(max_iterations=1)
   m = PLDABase(D,nf,ng)
   m_py = PLDABase(D,nf,ng)