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diff --git a/examples/src/main/python/ml/isotonic_regression_example.py b/examples/src/main/python/ml/isotonic_regression_example.py
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+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+"""
+Isotonic Regression Example.
+"""
+from __future__ import print_function
+
+# $example on$
+from pyspark.ml.regression import IsotonicRegression, IsotonicRegressionModel
+# $example off$
+from pyspark.sql import SparkSession
+
+"""
+An example demonstrating isotonic regression.
+Run with:
+  bin/spark-submit examples/src/main/python/ml/isotonic_regression_example.py
+"""
+if __name__ == "__main__":
+
+    spark = SparkSession\
+        .builder\
+        .appName("PythonIsotonicRegressionExample")\
+        .getOrCreate()
+
+    # $example on$
+    # Loads data.
+    dataset = spark.read.format("libsvm")\
+        .load("data/mllib/sample_isotonic_regression_libsvm_data.txt")
+
+    # Trains an isotonic regression model.
+    model = IsotonicRegression().fit(dataset)
+    print("Boundaries in increasing order: " + str(model.boundaries))
+    print("Predictions associated with the boundaries: " + str(model.predictions))
+
+    # Makes predictions.
+    model.transform(dataset).show()
+    # $example off$
+
+    spark.stop()