Yes, I like the latest changes. It looks cleaner to me. It seems that the attachments only describe the mixture distribution and do not provide the EM estimation algorithm. Am I missing something? Didn't the original contributor mention the estimation part too? The parts I would like to add will need the EM part first.
Thanks! -----Original Message----- From: Gilles Sadowski [mailto:gil...@harfang.homelinux.org] Sent: Thursday, October 18, 2012 9:33 AM To: dev@commons.apache.org Subject: Re: [Math] MATH-816 (mixture model distribution) On Thu, Oct 18, 2012 at 08:13:52AM -0400, Patrick Meyer wrote: > I vote for simplicity. Current practice in the social sciences is to > fit multiple models, each with a different number of components, and > use fit statistics to choose the best model. So... Do you vote for the current proposal (as in the latest attachment on the JIRA page)? [Sorry for being dense. :-)] [The (simple) "mixture model" code could be in 3.1, due to be out a couple of weeks _ago_. :-}] > > There are some additional features I would like to see added and I > have the code to contribute if it is not currently there. To be > consistent with Mplus, we need have the algorithm use multiple random > starts and run a few of the best starts to completion. Mplus uses this > strategy to effectively overcome local minima. Proposals welcome; please open a feature request with an outline of the implementation. Thanks, Gilles > [...] --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org For additional commands, e-mail: dev-h...@commons.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org For additional commands, e-mail: dev-h...@commons.apache.org
