Hi All, I am tuning the standard models with an extended feature. As far as I understood, we can tune only the feature weights in mert. In my case I have some more hyper parameters that I want to tune together with the feature weights .. for example. feature learning rate. Once the nbest-list is created these parameters cannot have any effect on the list, but they are useful for generating a better nbest-list. Is there a way to tune all the parameters and hyper parameters together?
Thanks, Prashant PS: Till now I was tuning these hyper parameters using Simplex. _______________________________________________ Moses-support mailing list [email protected] http://mailman.mit.edu/mailman/listinfo/moses-support
