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[java-nlp-user] MAP estimate

Christopher Manning manning at stanford.edu
Sat May 7 14:31:28 PDT 2011


No.

There's only what you can find in the javadoc comments.

Chris.


On May 7, 2011, at 2:23 AM, Suriya Gunasekar wrote:

> I want to use the LogConditionalObjectiveFunction in the classify package... is der a place where i can find better documentation about its usage?
> 
> On Fri, May 6, 2011 at 3:23 PM, Christopher Manning <manning at stanford.edu> wrote:
> You could poke around what you can find in the optimization (and classify) packages.  I don't think we have anything that does coordinate ascent, but you can find other optimizers such as gradient ascent and conjugate gradient and implementations of gaussian priors.  But the internals aren't all very well documented, so if you don't have a reasonable idea what you're doing, something else might be easier to work with....
> 
> Chris.
> 
> 
> On May 5, 2011, at 11:47 PM, Suriya Gunasekar wrote:
> 
> > I am using stanford NLP for the first time. I need some class which can find a MAP(maximum a-posteriori) estimate of a random variable with gaussian prior using coordinate ascent or em alogrithms. it will be of great help if someone can help me with this.
> >
> > suriya
> > _______________________________________________
> > java-nlp-user mailing list
> > java-nlp-user at lists.stanford.edu
> > https://mailman.stanford.edu/mailman/listinfo/java-nlp-user
> 
> 




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