[SPARK-14434][ML] User guide doc and examples for GaussianMixture in spark.ml

## What changes were proposed in this pull request?

(Please fill in changes proposed in this fix)

Add guide doc and examples for GaussianMixture in Spark.ml in Java, Scala and Python.

## How was this patch tested?

(Please explain how this patch was tested. E.g. unit tests, integration tests, manual tests)

Manual compile and test all examples

Author: wm624@hotmail.com <wm624@hotmail.com>

Closes #12788 from wangmiao1981/example.

1 files changed, 48 insertions, 0 deletions

diff --git a/examples/src/main/python/ml/gaussian_mixture_example.py b/examples/src/main/python/ml/gaussian_mixture_example.py
new file mode 100644
index 0000000000..2ca13d68f6
--- /dev/null
+++ b/examples/src/main/python/ml/gaussian_mixture_example.py
@@ -0,0 +1,48 @@
+#
+# 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.
+#
+
+from __future__ import print_function
+
+# $example on$
+from pyspark.ml.clustering import GaussianMixture
+# $example off$
+from pyspark.sql import SparkSession
+
+"""
+A simple example demonstrating Gaussian Mixture Model (GMM).
+Run with:
+  bin/spark-submit examples/src/main/python/ml/gaussian_mixture_example.py
+"""
+
+if __name__ == "__main__":
+    spark = SparkSession\
+        .builder\
+        .appName("PythonGuassianMixtureExample")\
+        .getOrCreate()
+
+    # $example on$
+    # loads data
+    dataset = spark.read.format("libsvm").load("data/mllib/sample_kmeans_data.txt")
+
+    gmm = GaussianMixture().setK(2)
+    model = gmm.fit(dataset)
+
+    print("Gaussians: ")
+    model.gaussiansDF.show()
+    # $example off$
+
+    spark.stop()