Github user rnowling commented on the pull request:
https://github.com/apache/spark/pull/4087#issuecomment-70446766
[~leahmcguire],
Thanks for the patch!
A few comments:
1. PySpark calls the Scala API for MLlib, so for API compatibility, we
can't use enumerations on the public APIs. I suggest using a string for the
train() functions but keeping the enumeration for the internal API.
2. Can you create a new JIRA for updating the PySpark MLlib NB API? I can
post details on what needs to change there -- if you don't want to do the PR
for that, I can.
3. The populateMatrix function is verbose. Breeze seems to support
element-wise operations
(https://github.com/scalanlp/breeze/wiki/Linear-Algebra-Cheat-Sheet) which
might be negate the need for the populateMatrix function.
4. Can you update the MLlib docs in docs/mllib-naive-bayes.md ?
Thanks!
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