Review comments fix

Author: Devaraj K

docs/ml-guide.md

@@ -305,7 +305,6 @@ The `ParamMap` which produces the best evaluation metric is selected as the best
 
 <div data-lang="scala" markdown="1">
 {% include_example scala/org/apache/spark/examples/ml/ModelSelectionViaTrainValidationSplitExample.scala %}
-{% endhighlight %}
 </div>
 
 <div data-lang="java" markdown="1">

examples/src/main/java/org/apache/spark/examples/ml/JavaModelSelectionViaTrainValidationSplitExample.java

@@ -41,7 +41,8 @@ public static void main(String[] args) {
     SQLContext jsql = new SQLContext(sc);
 
     // $example on$
-    DataFrame data = jsql.read().format("libsvm").load("data/mllib/sample_linear_regression_data.txt");
+    DataFrame data = jsql.read().format("libsvm")
+      .load("data/mllib/sample_linear_regression_data.txt");
 
     // Prepare training and test data.
     DataFrame[] splits = data.randomSplit(new double[] {0.9, 0.1}, 12345);

examples/src/main/python/ml/estimator_transformer_param_example.py

@@ -19,8 +19,8 @@
 Estimator Transformer Param Example.
 """
 from pyspark import SparkContext, SQLContext
-from pyspark.mllib.linalg import Vectors
 # $example on$
+from pyspark.mllib.linalg import Vectors
 from pyspark.ml.classification import LogisticRegression
 # $example off$
 

examples/src/main/python/ml/pipeline_example.py

@@ -19,11 +19,11 @@
 Pipeline Example.
 """
 from pyspark import SparkContext, SQLContext
-from pyspark.ml import Pipeline
 # $example on$
+from pyspark.ml import Pipeline
 from pyspark.ml.classification import LogisticRegression
-# $example off$
 from pyspark.ml.feature import HashingTF, Tokenizer
+# $example off$
 
 if __name__ == "__main__":