Github user cloud-fan commented on the pull request:
https://github.com/apache/spark/pull/7724#issuecomment-126168198
cc @rxin I think it's close, there is still a pyspark doc string test
failue:
```
File
"/home/jenkins/workspace/SparkPullRequestBuilder/python/pyspark/ml/recommendation.py",
line 73, in __main__.ALS
Failed example:
model.userFactors.orderBy("id").collect()
Expected:
[Row(id=0, features=[...]), Row(id=1, ...), Row(id=2, ...)]
Got:
[Row(id=0, features=(None, None, None, None, None, None, None, None,
None, None)), Row(id=1, features=(None, None, None, None, None, None, None,
None, None, None)), Row(id=2, features=(None, None, None, None, None, None,
None, None, None, None))]
```
Does any body have an idea on it?
One possible reason I can think about is: before ArrayData, we use
`ArraySeq` as external array value, but now we use `WrappedArray`, will this
make difference?
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