Hello If i want to run Mahout based Parallel Naive Bayes, and its not document based but classification with large (4 million) with say two classes or eight classes, what is the strategy to parallelize? The example using wiki documents uses the large class category, but wanted to know what are other categories possible and some examples.
Thanks Uday PhD Student EC Lab GMU
