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.
>>
>
>
>
