Re: [Crf-users] Training

[Hamid R. H. <ha....@gm...>]

Thanks a lot.

On Tue, Jul 3, 2012 at 1:24 PM, Sunita Sarawagi <su...@ii...> wrote:

>  Please follow the definition of Mi_YY.zMult.  This function has been
> over-ridden so that it actually does the right thing for matrix entries
> containing log of the actual values.
>
>
> On 07/03/2012 09:31 PM, Hamid Reza Hassanzadeh wrote:
>
> Hello,
> I have hard times understanding the following lines of codes seen in both
> SegmentTrainer and NestedTrainer which compute the Betas in Log space, I
> would appreciate it if you can help me on that,
>
>  initMDone =
> computeLogMi(dataSeq,i,i+ell,featureGenNested,lambda,Mi_YY,Ri_Y,reuseM,initMDone);
> tmp_Y.assign(Ri_Y);
> tmp_Y.assign(beta_Y[i+ell], sumFunc);
> Mi_YY.zMult(tmp_Y, beta_Y[i],1,1,false);
>
>  OK, in general to compute beta_Y[i] we should do this,
>  computeMi(featureGenerator,lambda,dataSeq,i,Mi_YY,Ri_Y);
> tmp_Y.assign(beta_Y[i]);
> tmp_Y.assign(Ri_Y,multFunc);
> Mi_YY.zMult(tmp_Y, beta_Y[i-1]);
>
>  Which makes sense to me, but in Log space how can you multiply Mi_YY to
> tmp_Y and add the result to beta_Y? They are in log space.
>
> Regards
>
>
>
>
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