Github user dusenberrymw commented on a diff in the pull request:
https://github.com/apache/spark/pull/7963#discussion_r36551994
--- Diff: docs/mllib-dimensionality-reduction.md ---
@@ -218,6 +238,30 @@ public class PCA {
{% endhighlight %}
</div>
+
+<div data-lang="python" markdown="1">
+
+The following code demonstrates how to compute principal components on a
`RowMatrix`
+and use them to project the vectors into a low-dimensional space.
+
+{% highlight python %}
+from pyspark.mllib.linalg import Matrix
--- End diff --
Minor: Same as above, this import isn't needed.
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