Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/2819#discussion_r19429959
--- Diff: docs/mllib-feature-extraction.md ---
@@ -267,4 +346,25 @@ val data1 = data.map(x => (x.label,
normalizer1.transform(x.features)))
val data2 = data.map(x => (x.label, normalizer2.transform(x.features)))
{% endhighlight %}
</div>
+
+<div data-lang="python">
+{% highlight python %}
+from pyspark.mllib.util import MLUtils
+from pyspark.mllib.linalg import Vectors
+from pyspark.mllib.feature import Normalizer
+
+data = MLUtils.loadLibSVMFile(sc, "data/mllib/sample_libsvm_data.txt")
+label = data.map(lambda x: x.label)
+features = data.map(lambda x: x.features)
+
+normalizer1 = Normalizer()
+normalizer2 = Normalizer(p=float("inf"))
+
+# Each sample in data1 will be normalized using $L^2$ norm.
+data1 = label.zip(normalizer1.transform(features))
+
+# Each sample in data2 will be normalized using $L^\infty$ norm.
+data2 = label.zip(normalizer2.transform(features))
--- End diff --
This line fails because the p = infinity is not handled correctly somewhere.
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