Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/5614#issuecomment-94891329
@yanboliang Sent you a PR at https://github.com/yanboliang/spark/pull/2 for
using namedtuples.
I'm also thinking about pickling the items into byte strings on the Python
side before training. Then on the JVM side, the items are all strings and we
don't need to worry about the compatibility of SerDe. When we map the frequent
itemsets back, we can unpickle the byte strings. Maybe we can try this in
another PR.
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