On Wed, Oct 17, 2012 at 10:26:55PM -0700, Phil Steitz wrote: > On 10/17/12 8:36 PM, Becksfort, Jared wrote: > > I see. I am planning to submit the EM fit for multivariate normal mixture > > models in the next couple of weeks (Math-817). A Gibbs sampling DP fit may > > be a bit further out. I am not opposed to allowing the number of > > components to change, but I also like the simplicity of this class. > > Whatever you guys decide is probably fine. > > I like the interface as implemented for what it represents,
By "interface", do you mean the class MixtureMultivariateRealDistribution" as implemented in the file on the JIRA page? > but I > agree with Ted's point above. I also wonder if implementing the > multivariate distribution interface is really buying you anything. > Certainly not for the Gibbs sampler. It might be better to just > directly implement EM with an interface that is natural for fitting > and using mixture models. I am not sure this stuff belongs in the > distribution package in any case. As implemented, it seems quite natural. How this class will be used by non-existing code is beyond the scope of MATH-816. [And when the code exists, we can always revisit the design if necessary.] > Where were we intending to place > the EM fit? Not in distribution; I agree. > Can you describe a little more how exactly the > practical use cases you have in mind will work? This will probably be for a new JIRA feature request. Regards, Gilles --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org For additional commands, e-mail: dev-h...@commons.apache.org
