Github user ChristophAl commented on the pull request:
https://github.com/apache/flink/pull/665#issuecomment-116517528
Hi,
after I rebased it on master and implemented the new pipeline interface, I
have some followup questions regarding the types we should accept for feature
hashing.
I can think of Iterable[String] and Iterable[(String, Int)] for documents
as well as (Int, Iterable[String]) and (Int, Iterable[(String, Int)]) for
documents having some kind of index. So I'm not sure if it is required to hash
arbitrary types by using .hashcode()?
Also note, in case the nonNegative parameter is set to true, the output can
be used as TF in TF-IDF.
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