diff --git a/tests/sklearn_ml/test_sklearnpipeline.py b/tests/sklearn_ml/test_sklearnpipeline.py
new file mode 100644
index 00000000..147462a2
--- /dev/null
+++ b/tests/sklearn_ml/test_sklearnpipeline.py
@@ -0,0 +1,30 @@
+import pytest
+from pydp.ml.mechanisms.sklearn_pipeline import LaplaceMechanism
+import numbers
+import numpy as np
+
+class TestLocalDP:
+    def test_epsilon_type(self):
+        assert isinstance(LaplaceMechanism().epsilon,numbers.Number)
+    def test_epsilon_val(self):
+        assert LaplaceMechanism().epsilon > 0
+    
+    def test_sensitivity(self):
+        if(isinstance(LaplaceMechanism().sensitivity, numbers.Number)):
+            assert LaplaceMechanism().sensitivity > 0
+
+    @pytest.mark.parametrize("array", [np.array([[1,2,4,5],[7,8,9,10]])])
+    def test_sensitivity_calculation(self,array):
+        sensitivity_example=sensitivity_callable()
+        noisy_array=LaplaceMechanism(epsilon=1,sensitivity=sensitivity_example).sensitivity_calculation(array)
+        assert isinstance(noisy_array,np.ndarray)
+        assert array.shape==noisy_array.shape
+        assert noisy_array.ndim==2
+    
+class sensitivity_callable:
+    def __call__(self,x):
+        return abs(x[0]-0.1)
+
+
+
+