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-rw-r--r--docs/mllib-naive-bayes.md6
1 files changed, 3 insertions, 3 deletions
diff --git a/docs/mllib-naive-bayes.md b/docs/mllib-naive-bayes.md
index 55b8f2ce6c..a83472f5be 100644
--- a/docs/mllib-naive-bayes.md
+++ b/docs/mllib-naive-bayes.md
@@ -106,11 +106,11 @@ NaiveBayesModel sameModel = NaiveBayesModel.load(sc.sc(), "myModelPath");
<div data-lang="python" markdown="1">
-[NaiveBayes](api/python/pyspark.mllib.classification.NaiveBayes-class.html) implements multinomial
+[NaiveBayes](api/python/pyspark.mllib.html#pyspark.mllib.classification.NaiveBayes) implements multinomial
naive Bayes. It takes an RDD of
-[LabeledPoint](api/python/pyspark.mllib.regression.LabeledPoint-class.html) and an optionally
+[LabeledPoint](api/python/pyspark.mllib.html#pyspark.mllib.regression.LabeledPoint) and an optionally
smoothing parameter `lambda` as input, and output a
-[NaiveBayesModel](api/python/pyspark.mllib.classification.NaiveBayesModel-class.html), which can be
+[NaiveBayesModel](api/python/pyspark.mllib.html#pyspark.mllib.classification.NaiveBayesModel), which can be
used for evaluation and prediction.
Note that the Python API does not yet support model save/load but will in the future.