Hello, 

I'am trying to improve my process chain for Sentinel 2 with OTB, and as you 
said few weeks before, there're two implementations of the Random Forest in 
OTB; 
My question is about how can I choose between opencv and shark libs? and if 
it's possible to force the process to use shark instead of opencv?

Best regards


Le mardi 28 mars 2017 15:31:11 UTC+2, Manuel Grizonnet a écrit :
>
> Hi,
>
> note first there are 2 implementations of random forests now available in 
> OTB since release 5.8. One from openCV and the other one from the shark 
> machine learning library (which allows parallel training). Both 
> implementations are wrappers around those libraries and you generally have 
> to dig into libraries documentation to find out such information.
>
> Regarding the criteria, I think that both opencv and shark implementations 
> use the Gini criterion (for shark I'm quite sure). Would be glad if someone 
> who know a bit more those implementations can confirm this. 
>
> Note also that I don't think that we have a way in otb to change this 
> criteria with shark implementation even if there is a way to do this in 
> shark base class. Perhaps something that could be added to the 
> SharkMachineLearningModel in the future.
>
> Regards, 
>
>
> 2017-03-27 9:46 GMT+02:00 Nafissa Sfaksi <[email protected] <javascript:>>:
>
>> Hi, 
>> With the tool TrainClassifier we can put several parameters but is it 
>> possible to see which criteria is used for the method? 
>> I mean the tool use Gini criterion or entropy criterion? 
>> Thanks for reply
>> Nafissa
>>
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>
>
>
> -- 
> Manuel Grizonnet
>

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