Ok thanks for the answer. There's another thing that I would like to undestand better. In the case I would like to change my model without retraining it, for instance a SGD classifer, the only knobs I could turn are the ones regarding the learning rate of the model (alpha, decayExponent etc..) or there are other parametres?
On 15 December 2011 15:08, Ted Dunning <[email protected]> wrote: > With the online classifiers, it is quite possible. With the NB it is > possible in theory, I am unsure about whether it is possible in practice. > > It is generally not a great idea to do this for the simple reason that you > typically want to emphasize recent history and eliminate ancient history. > Controlling this to the degree you probably would like is definitely > easier if you simply retrain your model from scratch. > > Moreover, the cost of retraining is typically not that high. > > On Thu, Dec 15, 2011 at 9:02 AM, Daniele Volpi <[email protected]>wrote: > >> I don't have a particular classifier model in my mind. >> I'm just wondering if it could be possible to do. >> >> On 15 December 2011 13:16, Ted Dunning <[email protected]> wrote: >> > Which kind of model? >> > >> > On Thu, Dec 15, 2011 at 4:41 AM, Daniele Volpi <[email protected] >> >wrote: >> > >> >> During my research on classification with Mahout I've run into this >> >> problem: >> >> is there a way to make changes to a classifier model without the need >> >> for retraining it? >> >> I really appreciate any help in this regard. >> >> Thanks >> >> Daniele >> >> >>
