Github user yinxusen commented on a diff in the pull request:
https://github.com/apache/spark/pull/9353#discussion_r43463474
--- Diff: docs/mllib-naive-bayes.md ---
@@ -124,33 +70,7 @@ Note that the Python API does not yet support model
save/load but will in the fu
Refer to the [`NaiveBayes` Python
docs](api/python/pyspark.mllib.html#pyspark.mllib.classification.NaiveBayes)
and [`NaiveBayesModel` Python
docs](api/python/pyspark.mllib.html#pyspark.mllib.classification.NaiveBayesModel)
for more details on the API.
-{% highlight python %}
-from pyspark.mllib.classification import NaiveBayes, NaiveBayesModel
-from pyspark.mllib.linalg import Vectors
-from pyspark.mllib.regression import LabeledPoint
-
-def parseLine(line):
- parts = line.split(',')
- label = float(parts[0])
- features = Vectors.dense([float(x) for x in parts[1].split(' ')])
- return LabeledPoint(label, features)
-
-data = sc.textFile('data/mllib/sample_naive_bayes_data.txt').map(parseLine)
-
-# Split data aproximately into training (60%) and test (40%)
-training, test = data.randomSplit([0.6, 0.4], seed = 0)
-
-# Train a naive Bayes model.
-model = NaiveBayes.train(training, 1.0)
-
-# Make prediction and test accuracy.
-predictionAndLabel = test.map(lambda p : (model.predict(p.features),
p.label))
-accuracy = 1.0 * predictionAndLabel.filter(lambda (x, v): x == v).count()
/ test.count()
-
-# Save and load model
-model.save(sc, "myModelPath")
-sameModel = NaiveBayesModel.load(sc, "myModelPath")
-{% endhighlight %}
+{% include_example python/mllib/naive_bayes_example.py %}
--- End diff --
remove the blank line.
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