Hello,
a custom feature generation is often defined using XML. This XML file
should be read into a byte array and then passed to the Token Name
Finder Cross Validator.
Thats why this constructor is there.
In case a user needs more control the only other option is to implement
a Token Name Finder Factory
and pass it in. The Factory class can create the feature generator.
I am not sure if that was added already for the 1.5.3 release or is
trunk only. Anyway I suggest to use the latest
trunk version. It has some new/fixed classifiers which increase the
performance of the name finder.
Jörn
On 08/26/2014 10:48 AM, Michail Drozdov wrote:
Hello,
I want to build NER application for lithuanian language, so I'm trying
different configurations of feature generators. When tied to evaluate
resulting models I encountered following problem: when training models I
build feature generators using API (not descriptor files), so have many
AdaptiveFeatureGenerator instances, but TokenNameFinderCrossValidator
constructor can only take byte[] featureGeneratorBytes.
So my question is, how can pass my future generator instances to
TokenNameFinderCrossValidator constructor?
I'm new to java and opennlp so perhaps I miss something obvious, but I
can't find a way.
Thank you in advance,
Michail Drozdov
