Dear Guillaume,
Thank you for your suggestion. As I pointed above I use the GUI version of 
OTB.
What I shall do is to follow your advice and move to CLI.

Just a small addition - the libSVM runs for more than 7 days and still not 
finished.
Is it possible to integrate some parameter that shows the convergence when
running the learning phase of the modules in this library? 
By now the only way for me is to check the amount of memory used by this
process which is not a good estimate for this purpose.

Hristo

On Friday, 29 January 2016 10:59:44 UTC+2, Guillaume Pasero wrote:
>
> Hi,
>
> In order to have stable results you should use the seed parameter, so that 
> the Random Number Generator used during sample selection always gives the 
> same samples : in the otbcli , it is the parameter key '-rand'.
>
> For the ANN, with the parameter "-classifier.ann.sizes", you can give 
> multiple sizes to have several layers.
>
> HTH,
>
> Guillaume
>
> On 01/18/2016 05:41 PM, Hristo Nikolov wrote:
>
> One more observation - when using polynomial as kernel function I can not 
> set the degree of the polynomial.
>
> On Wednesday, 13 January 2016 15:40:40 UTC+2, Hristo Nikolov wrote: 
>>
>> Dear all, 
>> I have been experimenting with ANN provided from OTB for some months now. 
>> What I experienced is that as module in QGIS the ANN from OTB has 
>> limitation
>> of creating only single layer networks, but the results produced remain 
>> the same
>> under same initial parameters. Lastly I tried to the otbgui version 
>> provided by 
>> OSGeo4W, but it results that even the parameters in the dialog box are 
>> the 
>> same the output produced and more specifically the error matrix is 
>> different 
>> every time the training takes place.
>> Could you advise?
>>
>> Thank you.
>> Hristo
>>
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