Skip tests in test_ml using @skip_numba_jit

Author: PokhodenkoSA

sdc/tests/test_ml.py

@@ -35,11 +35,12 @@
                                    count_parfor_OneDs, count_array_OneDs,
                                    count_parfor_OneD_Vars, count_array_OneD_Vars,
                                    dist_IR_contains, check_numba_version,
-                                   TestCase)
+                                   skip_numba_jit, TestCase)
 
 
 class TestML(TestCase):
 
+    @skip_numba_jit
     def test_logistic_regression(self):
         def test_impl(n, d):
             iterations = 3
@@ -58,6 +59,7 @@ def test_impl(n, d):
         self.assertEqual(count_array_OneDs(), 3)
         self.assertEqual(count_parfor_OneDs(), 3)
 
+    @skip_numba_jit
     def test_logistic_regression_acc(self):
         def test_impl(N, D):
             iterations = 3
@@ -79,6 +81,7 @@ def test_impl(N, D):
         self.assertEqual(count_array_OneDs(), 3)
         self.assertEqual(count_parfor_OneDs(), 4)
 
+    @skip_numba_jit
     def test_linear_regression(self):
         def test_impl(N, D):
             p = 2
@@ -98,6 +101,7 @@ def test_impl(N, D):
         self.assertEqual(count_array_OneDs(), 5)
         self.assertEqual(count_parfor_OneDs(), 3)
 
+    @skip_numba_jit
     def test_kde(self):
         def test_impl(n):
             X = np.ones(n)