bayesclasses-general

Re: [Bayes++] Deriving observe likelihood model from Likelihood_observe_model for SIR_scheme

[yon <yo...@ci...>]

Dear List,

Apologies for the email I'm replying to.. this was the error I'd =20
meant to send:

/Developer/YV-dev/DcpTest/vecDcp.cpp: In constructor =20
'CDcp_observe_likelihood::CDcp_observe_likelihood(int, int, int, int, =20=

float, float)':
/Developer/YV-dev/DcpTest/vecDcp.cpp:490: error: no matching function =20=

for call to =20
'Bayesian_filter_matrix::detail::FMVec<Bayesian_filter_matrix::detail::B=20=

aseVector>::FMVec()'

The constructor for FMVec() appears not to be found, so I would guess =20=

I have an includes problem.

The code is below, followed by the includes.  The class has a member

	bf::FM::Vec mvecRawWeights;	// Non-normalized weights

which I guess is where FMVec() comes in to play.

Thanks,
Yon


//=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D =20
CDcp_observe_likelihood::CDcp_observe_likelihood

CDcp_observe_likelihood::CDcp_observe_likelihood(
		int Nout,int NModels, int NParticles, int WinSize, =
TDouble Sigma, =20
TDouble Beta)
	: Likelihood_observe_model(Nout)
	// The 2nd constructor allocates memory to store the observation =
as =20
the member z
{
	mNModels =3D NModels;
	mNParticles =3D NParticles;
	mWinSize =3D WinSize;
	mNout =3D Nout;
=09
	mInvSd =3D sqrt(Sigma);
	mBeta =3D Beta;
	mInvSigmaTimesWinSize =3D 1.0 / (WinSize * Sigma);
=09
	resetState();
}



#include <math.h>
#include <iostream>
#include <stdlib.h>
#include <assert.h>
#include <fstream>
#include "yvDefines.h"

#include <boost/numeric/ublas/matrix.hpp>
#include <boost/numeric/ublas/matrix_proxy.hpp>
#include <boost/numeric/ublas/io.hpp>

#include "../Bayes++/BayesFilter/bayesFlt.hpp"
#include "../Bayes++/BayesFilter/SIRFlt.hpp"
#include "../Bayes++/BayesFilter/models.hpp"

using namespace boost::numeric::ublas;



__________________________________
Yon Visell

Centre for Intelligent Machines, McGill University
http://cim.mcgill.ca/~yon

CIRMMT, Schulich School of Music, McGill University
http://www.music.mcgill.ca/cirmmt

University of Applied Sciences & Arts Z=FCrich
CLOSED: Closing the loop of sound evaluation and design
http://closed.ircam.fr

Zero-Th Association, Pula, Croatia
http://www.zero-th.org

Tel +1 514 967 1648
Fax +1 415 520 0193




__________________________________
Yon Visell

Centre for Intelligent Machines, McGill University
http://cim.mcgill.ca/~yon

CIRMMT, Schulich School of Music, McGill University
http://www.music.mcgill.ca/cirmmt

University of Applied Sciences & Arts Z=FCrich
CLOSED: Closing the loop of sound evaluation and design
http://closed.ircam.fr

Zero-Th Association, Pula, Croatia
http://www.zero-th.org

Tel +1 514 967 1648
Fax +1 415 520 0193

Re: [Bayes++] Deriving observe likelihood model from Likelihood_observe_model for SIR_scheme

[Michael S. <ma...@mi...>]

On Wednesday 09 May 2007 17:54, yon wrote:
> Dear List,
>
> Apologies for the email I'm replying to.. this was the error I'd
> meant to send:
>
> /Developer/YV-dev/DcpTest/vecDcp.cpp: In constructor
> 'CDcp_observe_likelihood::CDcp_observe_likelihood(int, int, int, int,
> float, float)':
> /Developer/YV-dev/DcpTest/vecDcp.cpp:490: error: no matching function
> for call to
> 'Bayesian_filter_matrix::detail::FMVec<Bayesian_filter_matrix::detail::B
> aseVector>::FMVec()'
>
> The constructor for FMVec() appears not to be found, so I would guess
> I have an includes problem.
>
> The code is below, followed by the includes.  The class has a member
>
> 	bf::FM::Vec mvecRawWeights;	// Non-normalized weights

OK easy fix. FM::Vec does not have a default constructor. Which is what the 
compiler is complaining about.

In your CDcp_observe_likelihood construct you need to explictly construct
mvecRawWeights with a specific size. If you want it to be empty use
	mvecRawWeights( Bayesian_filter_matrix::Empty )

Personally I find default constructing vectors or matrix to 0 size is rarely 
what you want and therefore rather error prone. When you come to use these 
variables you get a runtime error. Therefore in the derived classes I use I 
don't provide a default construtor.

All the best,
	Michael

-- 
___________________________________
Michael Stevens Systems Engineering

34128 Kassel, Germany
Phone/Fax: +49 561 5218038

Navigation Systems, Estimation  and
                 Bayesian Filtering
    http://bayesclasses.sf.net
___________________________________