Thanks Jörn and Daniel. Will surely try them and revert. Manoj.
On Wed, Sep 6, 2017 at 1:57 AM, Joern Kottmann <[email protected]> wrote: > The feature generators are not thread safe, so it is ok to use an > instance variable for caching. > We have some feature generators which do that. > > Jörn > > On Tue, Sep 5, 2017 at 9:19 PM, Daniel Russ <[email protected]> wrote: > > Again, you should send this to users not dev mail list. > > > > Have you tried adding an instance variable (e.g. numWords) that you > update when you call “createFeature”? You need to be concerned with thread > safety if you do this on more than 1 thread, but you can synchronize only > the part of the code that adds to the instance variable. You should also > be careful to create 1 instance of the AdaptiveFeatureGenerator. > > > > you might also consider resetting the value in the clearAdaptiveData > method. However, that might not work for you and you may need a method to > reset your feature. > > > > Let me know if that works for you…. > > > > Daniel > > > >> On Sep 5, 2017, at 6:48 AM, Manoj B. Narayanan < > [email protected]> wrote: > >> > >> Hi, > >> > >> Could anyone please help me out. > >> > >> Thanks, > >> Manoj > >> > >> On Wed, Aug 30, 2017 at 10:47 AM, Manoj B. Narayanan < > >> [email protected]> wrote: > >> > >>> Hi, > >>> > >>> While training a NER model I use provide custom features by > implementing *AdaptiveFeatureGenerator. > >>> *In the implementing class I compute certain features and add them. > When > >>> I have another implementing class for adding features, I compute the > >>> features which sometimes are computed in the first implementing class > >>> itself. I am not aware of a mechanism where I can use the information > from > >>> the first implementing class without computing them again. > >>> > >>> So, if there is a way where I could store some information about a > >>> sentence in a global manner, I would be able to get them in all the > classes > >>> I need without computing them. > >>> > >>> If there is a provision for this already, please guide me. Else, I put > >>> forth this as a suggestion/request. > >>> > >>> Thanks, > >>> Manoj. > >>> > >>> > >>> > > >
