Re: Netlab on Octave

[Tatsuro MATSUOKA]

Hello Wilson de Oliveira

--- Wilson de Oliveira wrote:

> Ok. Sorry.
>  For a start, Netlab is a Matlab toolbox for Pattern Recognition which
> includes amongst others models Neural Networks. It is freely available at:
> http://www.ncrg.aston.ac.uk/netlab/index.php
> demnlab.m is a demonstration program which runs several models in gui
> interface.
> 
> As regard the version of the octave, thanks for your help! The octave 3.0.0
> came with qtoctave - a gui interface for octave; Now that I´ve installed the
> 3.2.2 version available at sourceforge.net I got fewer errors:
> 
>  > demnlab
> error: `uicontrol' undefined near line 33 column 3
> error: called from:
> error:   C:\Octave\Netlab\demnlab.m at line 33, column 3
> octave-3.2.2.exe:6:C:\Octave\Netlab
> >
> 
> Thanks for your help
> Wilson de Oliveira
> UFRPE-DEInfo
> http://www.cin.ufpe.br/~wrdo
> 
> 

Unfortunately Octave does not support GUI graphic control.
You should control graphics with graphic handle functions.
Please  see section 15 "Plotting" in octave manual.
You should read care fully "15.1 Plotting Basics" band "15.2 Advanced Plotting".
Perhaps these types functions are compatible to MATLAB.


I have tried a simple example in web page.

ndata=20
% Generate the matrix of inputs x and targets t.
x = [0:1/19:1]';
t = sin(2*pi*x) + 0.2*randn(ndata, 1);

% Set up network parameters.
net = mlp(1, 3, 1, 'linear')

net =
{
  type = mlp
  nin =  1
  nhidden =  3
  nout =  1
  nwts =  10
  outfn = linear
  w1 =

    -1.148633   1.104356   0.049478

  b1 =

    -0.070054   0.902782   1.349561

  w2 =

     0.17895
     0.27658
     0.36492

  b2 =  0.66142
}
****************
% Set up vector of options for the optimiser.
options = zeros(1,18);
options(1) = 1;
options(9) = 1;
options(14) = 100;

% Train using scaled conjugate gradients.
[net, options] = netopt(net, options, x, t, 'scg');
error: `fcnchk' undefined near line 68 column 5
error: called from:
error:   D:\usr\Tatsu\program\Octave\netlab\scg.m at line 68, column 3
error:   D:\usr\Tatsu\program\Octave\netlab\netopt.m at line 36, column 17

Octave does not support `fcnchk'
But I found 
http://en.wikibooks.org/wiki/MATLAB_Programming/Differences_between_Octave_and_MATLAB

********
If something (like Netlab) need a function called fcnchk you can just put the 
following into a file
called fcnchk.m and put it somewhere Octave can find it:
function f=fcnchk(x, n)
  f = x;
end
********
I placed fcnchk.m under the same folder of netlab

SO I get 

Checking gradient ...

   analytic   diffs     delta

  1.1904e+000  1.1904e+000  -1.3890e-009
  4.8963e-001  4.8963e-001  8.2556e-010
  1.1238e+000  1.1238e+000  -5.8918e-010
  2.3292e+000  2.3292e+000  -1.3039e-010
  1.1362e+000  1.1362e+000  -1.2848e-009
  1.8523e+000  1.8523e+000  6.3412e-010
  -1.3883e+001  -1.3883e+001  -1.9210e-010
  2.0438e+001  2.0438e+001  5.2320e-010
  1.9960e+001  1.9960e+001  -9.0928e-011
  2.2659e+001  2.2659e+001  -8.4377e-010
Cycle    1  Error    4.629483  Scale 1.000000e+000
Cycle    2  Error    4.629483  Scale 5.000000e-001
Cycle    3  Error    4.629483  Scale 2.000000e+000
Cycle    4  Error    4.259136  Scale 8.000000e+000
Cycle    5  Error    4.050134  Scale 4.000000e+000
Cycle    6  Error    3.775366  Scale 2.000000e+000
Cycle    7  Error    3.390233  Scale 2.000000e+000
Cycle    8  Error    3.288238  Scale 1.000000e+000
Cycle    9  Error    3.286530  Scale 5.000000e-001
Cycle   10  Error    3.235898  Scale 2.500000e-001
Cycle   11  Error    3.212532  Scale 1.250000e-001
Cycle   12  Error    3.192542  Scale 6.250000e-002
Cycle   13  Error    3.187294  Scale 3.125000e-002
  :
  :
*****************************************
% Plot the trained network predictions.
plotvals = [0:0.01:1]';
y = mlpfwd(net, plotvals);
plot(plotvals, y, 'ob')

gives a plot like attatchment files.

********
Honestly I am not familiar with this type of work.
In addition, I have no experience of MATLAB

Hopefully users who use both MATLAB and octave give you much better suggestions.

The aboves are all what I can do for you.

Good luck!!

Regards

Tatsuro
 

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