Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/5173#discussion_r28483636
--- Diff: python/pyspark/mllib/recommendation.py ---
@@ -61,7 +61,7 @@ class MatrixFactorizationModel(JavaModelWrapper,
JavaSaveable, JavaLoader):
>>> model = ALS.train(ratings, 4, seed=10)
>>> model.userFeatures().collect()
- [(1, array('d', [...])), (2, array('d', [...]))]
+ [(1, DenseVector([...])), (2, DenseVector([...]))]
--- End diff --
We shouldn't change the return type. I'm not sure `DenseVector` is a safe
replacement for array.
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