From: John Phillips (phillips_at_[hidden])
Date: 2007-01-30 07:35:38
Just to make sure I don't read any intent into your post, do you
recommend the accumulators library be added to boost?
John (Review Manager)
Niitsuma Hirotaka wrote:
> Boost.Accumulators is quit useful library.
> Until I find this library, I had used Torch http://www.torch.ch
> Torch also provides general framework for various statistical and
> machine-learning methods.
> Boost.Accumulators is more general framework.
> And also we can easily describe various statistical methods.
> In this framework, the statistical methods become readable components.
> (Torch's components are not readable)
> But, in order to add a component requires covarite input, we need to
> modify statistics_fwd.hpp.
> (When I described join_histgram component, I need to modify
> statistics_fwd.hpp and depended other components density.hpp and so on .)
> I think this is not good.
> If possible, just add a file which describes a statistical method, and
> include the file, is better.
> It is seem to similar framework can be given by boost::signal
> boost::signal1<void, double> sig;
> sig.connect( &mean );
> sig.connect( &variant );
> sig.connect( &sum );
> for_each(vec.begin(),vec.end(),boost::bind<void>( boost::ref(sig ),_1) );
> In this case, we can add new components by just adding file.
> But Boost.Accumulators is better than boost::signal in many points.
> can describe dependency among components
> can divide incremental part and final part.
> Document is good.
> I will switch Torch to Boost.Accumulators.
> I can not find way bind covarite1.
> Plz give example for bind covarite1
> The following code has compile error.
> double d=0.0;
> accumulators::accumulator_set<double, accumulators::stats<
> accumulators::tag::covariance<double , accumulators::tag::covariate1> > >
> acc(accumulators::sample = d,accumulators::covariate1 = d);
> boost::make_tuple(beg1, beg2)
> boost::make_tuple(end1, end2)
> boost::bind<void>( boost::ref(acc),(_1, accumulators::covariate1 = _2 ) )
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