check python example code

Author: yinxusen

docs/ml-features.md

@@ -174,7 +174,7 @@ from pyspark.ml.feature import Word2Vec
 documentDF = sqlContext.createDataFrame([
   ("Hi I heard about Spark".split(" "), ),
   ("I wish Java could use case classes".split(" "), ),
-  ("Logistic regression models are neat".split(" "))
+  ("Logistic regression models are neat".split(" "), )
 ], ["text"])
 word2Vec = Word2Vec(vectorSize = 3, minCount = 0, inputCol = "text", outputCol = "result")
 model = word2Vec.fit(documentDF)