All of the examples that I've found for training NB classifiers seem to have textual data as input. Is there a way to build a classifier with more general attributes?
I found this jira ticket (https://issues.apache.org/jira/browse/MAHOUT-286), but it's been closed:duplicate under https://issues.apache.org/jira/browse/MAHOUT-155, which doesn't seem to address the underlying question. I know that I can do this with weka, but not at scale -- is mahout only able to build textual classifiers? Thanks, Eric
