[SPARK-11551][DOC][EXAMPLE] Replace example code in ml-features.md using include_example

Made new patch contaning only markdown examples moved to exmaple/folder.
Ony three  java code were not shfted since they were contaning compliation error ,these classes are
1)StandardScale 2)NormalizerExample 3)VectorIndexer

Author: Xusen Yin <yinxusen@gmail.com>
Author: somideshmukh <somilde@us.ibm.com>

Closes #10002 from somideshmukh/SomilBranch1.33.

1 files changed, 44 insertions, 0 deletions

diff --git a/examples/src/main/python/ml/tokenizer_example.py b/examples/src/main/python/ml/tokenizer_example.py
new file mode 100644
index 0000000000..ce9b225be5
--- /dev/null
+++ b/examples/src/main/python/ml/tokenizer_example.py
@@ -0,0 +1,44 @@
+#
+# 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
+
+from pyspark import SparkContext
+from pyspark.sql import SQLContext
+# $example on$
+from pyspark.ml.feature import Tokenizer, RegexTokenizer
+# $example off$
+
+if __name__ == "__main__":
+    sc = SparkContext(appName="TokenizerExample")
+    sqlContext = SQLContext(sc)
+
+    # $example on$
+    sentenceDataFrame = sqlContext.createDataFrame([
+        (0, "Hi I heard about Spark"),
+        (1, "I wish Java could use case classes"),
+        (2, "Logistic,regression,models,are,neat")
+    ], ["label", "sentence"])
+    tokenizer = Tokenizer(inputCol="sentence", outputCol="words")
+    wordsDataFrame = tokenizer.transform(sentenceDataFrame)
+    for words_label in wordsDataFrame.select("words", "label").take(3):
+        print(words_label)
+    regexTokenizer = RegexTokenizer(inputCol="sentence", outputCol="words", pattern="\\W")
+    # alternatively, pattern="\\w+", gaps(False)
+    # $example off$
+
+    sc.stop()