True, but that complicates the framework, and doesn't deal with sparse features.
By adding another ff which grabs scores from the pt, u can arbitrarily transform the scores On 23 January 2015 18:09:11 GMT+00:00, Matthias Huck <[email protected]> wrote: >That's not flexible enough. There should be something like: > >[feature] >MyFeature name=MyFeature0 tuneable=0,1,0 > >[weight] >MyFeature0= 0.0 0.1 1 > > >MyFeature has 3 score components. I want to tune the second component, >deactivate the first component, and set the scaling factor of the third >component manually to 1. > >Currently the "tuneable" parameter is boolean and allows me to manually >set scaling factors for either no score component or all of them. > > > > >On Fri, 2015-01-23 at 17:38 +0000, Hieu Hoang wrote: >> The whole feature becomes untuneable. >> >> I suppose u can make the pt untuneable, the write another (tuneable) >> ff which grabs whatever scores it wants from the pt >> >> On 23 January 2015 16:55:56 GMT+00:00, Matthias Huck >> <[email protected]> wrote: >> Hi, >> >> Is there any existing functionality to set only specific >score >> components of a feature function as untuneable? >> >> Feature functions have a boolean "tuneable" parameter, but it >affects >> all the scores produced by it. It doesn't help in case I want >to switch >> off individual scores from a phrase table, for instance. Or >manually >> assign large scaling factors to certain score components >prior to >> tuning. As far as I know, right now I'm only able to do so if >the score >> I'm interested in is the only score produced by a feature >function. >> >> If anyone has already implemented something like that, please >let me >> know. >> >> Cheers, >> Matthias >> >> >> >> >> -- >> Sent while bumping into things > > > >-- >The University of Edinburgh is a charitable body, registered in >Scotland, with registration number SC005336. -- Sent while bumping into things
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