+1 On Thu, May 5, 2011 at 8:39 AM, Jörn Kottmann <[email protected]> wrote:
> On 5/3/11 5:05 PM, Jason Baldridge wrote: > >> Sure. But that proposal will involve blasting things apart. ;) >> >> > What do you think about defining some kind of training attribute file, > which specifies all the parameters which are needed to train a model. > > This file could contain the training algorithm combined with several > attributes, > e.g. cutoff, iterations, etc. The attributes could also be algorithm > dependent, > e.g for Perceptron there could be a property which defines the number of > iterations > where the accuracy must be identical in order to stop. > > Such a file would make our code simpler in some places, e.g command line > argument > handling, writing of these attributes in to the model packages, simple APIs > for training > with all kind of parameters, etc. > > Any opinions? > > Jörn > -- Jason Baldridge Assistant Professor, Department of Linguistics The University of Texas at Austin http://www.jasonbaldridge.com http://twitter.com/jasonbaldridge
