Using "weighted" sequences for ML computations

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Ikram

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Feb 28, 2014, 8:12:26 AM2/28/14
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Hi everyone,

I was wondering if BPP supports ML computations, given a sequence (with or without a tree - let's say tree is given for the time being) where I weigh each site according to some previously computed score. In other words, the default weighting we use is uniform (each site has weight 1.0); consider using some lower or upper weights to model the "importance" of respective sites.

Is it currently possible in BPP?

Cheers,
Ikram

Julien Yann Dutheil

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Mar 3, 2014, 4:52:52 AM3/3/14
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Hi Ikram

Actually the current ML implementation uses weights (the frequency of each site), so that it is easy to plug in your own weights. I am afraid no specific method has been developed for that purpose, but it should not be too much work to derive one ML class and add this functionality.

Best,

Julien.

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Ikram

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Mar 3, 2014, 1:27:36 PM3/3/14
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You are right, apparently it shouldn't be much of work. Its just that before attempting, I was thinking not to reinvent the wheel... :)

Best Regards,
Ikram 
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