This is using the Java API.  That is the entire stack trace.

Thanks


On Tue, May 13, 2014 at 2:14 AM, Jörn Kottmann <[email protected]> wrote:

> Hello,
>
> can you post the entire output you get from OpenNLP?
> Are you using the command line interface?
>
> Jörn
>
>
> On 05/13/2014 02:25 AM, Walrus theCat wrote:
>
>> This is with plenty of data, by the way.
>>
>>
>> On Thu, May 8, 2014 at 2:30 PM, Walrus theCat <[email protected]
>> >wrote:
>>
>>  Hi,
>>>
>>> The CrossValidator is hitting a NPE in a pretty standard use case.  I
>>> traced it through, and, when cross-validating, DataIndexer.getContexts is
>>> returning null (and thus, the call to contexts.length is throwing the
>>> exception.)  What can I do here?
>>>
>>> Thanks,
>>>
>>> Walrus theCat
>>>
>>> Exception in thread "main" java.lang.NullPointerException
>>>      at opennlp.tools.ml.maxent.GISTrainer.trainModel(
>>> GISTrainer.java:264)
>>>      at opennlp.tools.ml.maxent.GIS.trainModel(GIS.java:298)
>>>      at opennlp.tools.ml.maxent.GIS.doTrain(GIS.java:83)
>>>      at opennlp.tools.ml.maxent.GIS.doTrain(GIS.java:36)
>>>      at
>>> opennlp.tools.ml.AbstractEventTrainer.train(
>>> AbstractEventTrainer.java:93)
>>>      at opennlp.tools.namefind.NameFinderME.train(NameFinderME.java:410)
>>>      at opennlp.tools.namefind.NameFinderME.train(NameFinderME.java:472)
>>>      at
>>> opennlp.tools.namefind.TokenNameFinderCrossValidator.evaluate(
>>> TokenNameFinderCrossValidator.java:225)
>>>      at precyse.ml.ner.TrainNERModels$.getResults(TrainNERModels.
>>> scala:153)
>>>      at
>>> precyse.ml.ner.TrainNERModels$$anonfun$main$3.apply(
>>> TrainNERModels.scala:58)
>>>      at
>>> precyse.ml.ner.TrainNERModels$$anonfun$main$3.apply(
>>> TrainNERModels.scala:53)
>>>      at
>>> scala.collection.mutable.ResizableArray$class.foreach(
>>> ResizableArray.scala:60)
>>>      at scala.collection.mutable.ArrayBuffer.foreach(
>>> ArrayBuffer.scala:47)
>>>      at initech.ml.ner.TrainNERModels$.main(TrainNERModels.scala:53)
>>>      at initech.ml.ner.TrainNERModels.main(TrainNERModels.scala)
>>>
>>>
>

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