[SPARK-7605] [MLLIB] [PYSPARK] Python API for ElementwiseProduct

Python API for org.apache.spark.mllib.feature.ElementwiseProduct

Author: MechCoder <manojkumarsivaraj334@gmail.com>

Closes #6346 from MechCoder/spark-7605 and squashes the following commits:

79d1ef5 [MechCoder] Consistent and support list / array types
5f81d81 [MechCoder] [SPARK-7605] [MLlib] Python API for ElementwiseProduct

1 files changed, 22 insertions, 0 deletions

diff --git a/docs/mllib-feature-extraction.md b/docs/mllib-feature-extraction.md
index 4fe470a8de..1197dbbb8d 100644
--- a/docs/mllib-feature-extraction.md
+++ b/docs/mllib-feature-extraction.md
@@ -560,6 +560,28 @@ JavaRDD<Vector> transformedData2 = data.map(
 
 {% 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.
+transformedData = transformer.transform(parsedData)
+transformedData2 = transformer.transform(parsedData.first())
+
+{% endhighlight %}
+</div>
 </div>