Hello Weka list,
I have a bayesnet model which took about three days to learn. I'd like to be able to
reload this model
and test it against other datasets, as well as reuse it in the knowledge flow. Is this
I can see in the explorer you can load the model, but each time I go to try and test with
the learnt model it tries
to relearn the model. Obviously a three day learning/test process is longer than I'd
So what can I do here?
Another question is to ask if there's any work going into parallelizing or speeding up
the bayesnet classifiers (The search algorithms in particular).
A quick profile of the running code showed the majority of the time spend in
calcNodeScorePlain in the local
search code. That code looked to be doing a lot of boxing and unboxing of data, with some
indirection. Can this be GPU