Parameter manipulation in naive bayes classificator struct

Is it possible to manipulate the parameter of a naive bayes structure createt by NaiveBayes.fit()? I've tried, but it didn't work:

EDU>> cls.prior = [0.5 0.5]
Error using NaiveBayes/subsasgn (line 9)
The NaiveBayes class does not support subscripted assignments.

Answer 1

[Shashank Prasanna]

You can change the prior before the model is fit. If you want to specify different prior, you can do that while calling NaiveBayes.fit or fitNaiveBayes function using the name value pairs:

http://www.mathworks.com/help/stats/fitnaivebayes.html#namevaluepairarguments