Github user helenahm commented on the issue:
https://github.com/apache/incubator-hivemall/pull/82
i am pretty sure that in my case the document is empty, and not null, first
of all because Ln != "" saved that query, not Ln is not null; also it is a
table obtained as an external table, so if anything nulls would look like
"null", that is a non empty string.
It is up to you, but as for the user of hivemall, LDA is at the end of a
much longer pipeline, and nulls and empty strings will not be uncommon, your
users may be upset to have such an error.
Also, as a user, after building a model and running predict, I would feel
good if null and empty strings would get a topic, -1, or "none", or "Na". I do
not know how it works now, but I think processing nulls and empty strings would
make people feel better about the hivemall library.
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