Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/6346#discussion_r32704600
--- Diff: docs/mllib-feature-extraction.md ---
@@ -527,6 +527,28 @@ val transformedData2 = parsedData.map(x =>
transformer.transform(x))
{% endhighlight %}
</div>
+
+<div data-lang="python">
+{% highlight python %}
+from pyspark import SparkContext
+from pyspark.mllib.linalg import Vectors
+from pyspark.mllib.feature import ElementwiseProduct
+
+# Load and parse the data
+sc = SparkContext()
+data = sc.textFile("data/mllib/kmeans_data.txt")
+parsedData = data.map(lambda x: [float(t) for t in x.split(" ")])
+
+# Create weight vector.
+transformingVector = Vectors.dense([0.0, 1.0, 2.0])
+transformer = ElementwiseProduct(transformingVector)
+
+# Batch transform.
--- End diff --
Batch and single-row transform.
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