Sure, you can use adaptFG = null. S.
On 2012-07-03 12:43, "Daniel" <[email protected]> wrote: >Thank for your answer Svetoslav, but I am wondering if I could use simply: > >AdaptiveFeatureGenerator adaptFG = null; > >model = NameFinderME.train("es", "organization", sampleStream, >ModelUtil.createTrainingParameters(500, 5), > adaptFG ,Collections.<String, > Object>emptyMap()); > >or I need define the AdaptiveFeatureGenerator as you said before? > >2012/7/3, Svetoslav Marinov <[email protected]>: >> You can check the API for the current method, otherwise you can use the >> following: >> >> NameFinderME.train("es", "organization", sampleStream, featureGenerator, >> Collections.<String, Object>emptyMap(), 500, 5) >> >> Where a featureGenerator can for example be defined as: >> >> AdaptiveFeatureGenerator featureGenerator = new >> CachedFeatureGenerator( >> new AdaptiveFeatureGenerator[]{ >> new WindowFeatureGenerator(new >> TokenFeatureGenerator(), 4, 2), >> new WindowFeatureGenerator(new >> TokenClassFeatureGenerator(true), 4, 2), >> new TokenClassFeatureGenerator(), >> new TokenPatternFeatureGenerator(), >> new OutcomePriorFeatureGenerator(), >> new PreviousMapFeatureGenerator(), >> new BigramNameFeatureGenerator(), >> new SentenceFeatureGenerator(true, true) >> }); >> >> >> >> Svetoslav >> >> >> >> On 2012-07-03 11:53, "Daniel" <[email protected]> wrote: >> >>>Hi guys, >>> >>>Im using NameFinderME.train("es", "organization", sampleStream, >>>Collections.<String, Object>emptyMap(), 500, 5) to train my model (as >>>it says in the Doc), but the method is deprecated, any idea about what >>>method should I use? >>> >>>Thanks. >>> >> >> >> >
