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 > >> >
