Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/4834#discussion_r25569772
--- Diff: docs/mllib-naive-bayes.md ---
@@ -115,22 +115,31 @@ used for evaluation and prediction.
Note that the Python API does not yet support model save/load but will in
the future.
-<!-- TODO: Make Python's example consistent with Scala's and Java's. -->
{% highlight python %}
-from pyspark.mllib.regression import LabeledPoint
from pyspark.mllib.classification import NaiveBayes
+from pyspark.mllib.linalg import Vectors
+from pyspark.mllib.regression import LabeledPoint
+
+data = sc.textFile("data/mllib/sample_naive_bayes_data.txt")
+
+# Preprocessing
+splitData = data.map(lambda line: line.split(','))
+parsedData = splitData.map(
--- End diff --
We can define a parse function to make the code more readable. Btw, we use
4 space indentation in Python, following PEP8.
~~~python
def parseLine(line):
parts = line.split(',')
label = float(parts[0])
features = Vector.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)
~~~
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