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NAIVE BAYES KERNEL, HOW CAN I SOLVE?

Hi all, I am newbie here!

I'm working with Bayesian model of classification: in particular in the Naive Bayes (kernel), how can I set the number of kernels? Is there a method to calculate the best one?
About the bandwidth selection (both in greedy and in full-euristic setup), how does it work?

Thank you in advance to evreyone join this discussion.

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