Hi,
I can't see such messages when the model is being built by the GUI 
application.
Could share the version of the OTB you use?

Hristo

On Wednesday, 10 February 2016 16:31:48 UTC+2, Guillaume Pasero wrote:
>
> Hi, 
>
> I think it is possible to get outputs from libSVM during processing.
> When I use this library, I get messages like :
>
> optimization finished, #iter = 113
> nu = 0.038199
> obj = -22.175591, rho = 0.331874
> nSV = 38, nBSV = 28
>
>  Do you get these messages when running the command line application ?
>
> Guillaume
>
> On 02/03/2016 11:20 AM, Hristo Nikolov wrote:
>
> 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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>> -- 
>> <http://www.c-s.fr> *Guillaume PASERO*
>> Responsable technique
>> *Business Unit E-SPACE & Geo Information - Département Image & 
>> Applications*
>>
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>> +33 561 17 64 21 - guillaum...@c-s.fr 
>>
> -- 
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> -- 
> <http://www.c-s.fr> *Guillaume PASERO*
> Responsable technique
> *Business Unit E-SPACE & Geo Information - Département Image & 
> Applications*
>
> *CS Systèmes d'Information*
> Parc de la Grande Plaine - 5, Rue Brindejonc des Moulinais - BP 15872
> 31506 Toulouse Cedex 05 - FRANCE
> +33 561 17 64 21 - guillaum...@c-s.fr <javascript:> 
>

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