Github user akopich commented on the pull request:
https://github.com/apache/spark/pull/1269#issuecomment-67399691
@jkbradley Thank you for explanation about setters.
tm implementation was tested (it was succesfully used in one of my project)
but it was tested with scala 2.11, not scala 2.10. Is it necessary to implement
this test as a part of spark project?
I suggest the following: I just write an example running PLSA training
(distributed one) on a particular dataset and add it to this patch. Also I
write an example running PLSA training reliying on tm project and add it to tm
project. One can ran both of these examples and ensure that perplexity values
look similar. What do you think?
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