diff --git a/python/pyspark/ml/tests.py b/python/pyspark/ml/tests.py
index 116885969345..6dee6938d891 100755
--- a/python/pyspark/ml/tests.py
+++ b/python/pyspark/ml/tests.py
@@ -173,6 +173,45 @@ class MockModel(MockTransformer, Model, HasFake):
     pass
 
 
+class JavaWrapperMemoryTests(SparkSessionTestCase):
+
+    def test_java_object_gets_detached(self):
+        df = self.spark.createDataFrame([(1.0, 2.0, Vectors.dense(1.0)),
+                                         (0.0, 2.0, Vectors.sparse(1, [], []))],
+                                        ["label", "weight", "features"])
+        lr = LinearRegression(maxIter=1, regParam=0.0, solver="normal", weightCol="weight",
+                              fitIntercept=False)
+
+        model = lr.fit(df)
+        summary = model.summary
+
+        self.assertIsInstance(model, JavaWrapper)
+        self.assertIsInstance(summary, JavaWrapper)
+        self.assertIsInstance(model, JavaParams)
+        self.assertNotIsInstance(summary, JavaParams)
+
+        error_no_object = 'Target Object ID does not exist for this gateway'
+
+        self.assertIn("LinearRegression_", model._java_obj.toString())
+        self.assertIn("LinearRegressionTrainingSummary", summary._java_obj.toString())
+
+        model.__del__()
+
+        with self.assertRaisesRegexp(py4j.protocol.Py4JError, error_no_object):
+            model._java_obj.toString()
+        self.assertIn("LinearRegressionTrainingSummary", summary._java_obj.toString())
+
+        try:
+            summary.__del__()
+        except:
+            pass
+
+        with self.assertRaisesRegexp(py4j.protocol.Py4JError, error_no_object):
+            model._java_obj.toString()
+        with self.assertRaisesRegexp(py4j.protocol.Py4JError, error_no_object):
+            summary._java_obj.toString()
+
+
 class ParamTypeConversionTests(PySparkTestCase):
     """
     Test that param type conversion happens.
diff --git a/python/pyspark/ml/wrapper.py b/python/pyspark/ml/wrapper.py
index 0f846fbc5b5e..5061f6434794 100644
--- a/python/pyspark/ml/wrapper.py
+++ b/python/pyspark/ml/wrapper.py
@@ -36,6 +36,10 @@ def __init__(self, java_obj=None):
         super(JavaWrapper, self).__init__()
         self._java_obj = java_obj
 
+    def __del__(self):
+        if SparkContext._active_spark_context and self._java_obj is not None:
+            SparkContext._active_spark_context._gateway.detach(self._java_obj)
+
     @classmethod
     def _create_from_java_class(cls, java_class, *args):
         """
@@ -100,10 +104,6 @@ class JavaParams(JavaWrapper, Params):
 
     __metaclass__ = ABCMeta
 
-    def __del__(self):
-        if SparkContext._active_spark_context:
-            SparkContext._active_spark_context._gateway.detach(self._java_obj)
-
     def _make_java_param_pair(self, param, value):
         """
         Makes a Java param pair.