Github user yanboliang commented on the issue:
https://github.com/apache/spark/pull/16312
@felixcheung @shivaram I changed ```read.ml``` to pass in
```sparkSession``` if necessary, then it will not use stale spark context which
will cause errors. This is consistent with ```MLReader/MLWriter``` in
Scala/Python which also support to specify user-specified spark session. Any
more comments, please feel free to let me know. Thanks.
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