Hi Jörn,
I checked again, but eventStream (object of SimpleEventStrem) is not null.
Will sending of code will help?
Best regards,
Aditya
On Thu, Sep 15, 2011 at 8:09 PM, Aditya Kulkarni <aditya.kulka...@gmail.com
> wrote:
> Hi Jörn,
>
> Thanks for quick response. Let me go through it again and revert back with
> finding.
>
> Best Regards,
> Aditya
>
>
> On Thu, Sep 15, 2011 at 7:07 PM, Jörn Kottmann <kottm...@gmail.com> wrote:
>
>> Is your eventStream just empty? In this case the training code throws a
>> NPE,
>> there is a jira issue for this. So you need at least some training data to
>> train a model.
>>
>> I am not sure what the best response would be from our training code when
>> you train
>> with no events at all, anyway there should be a nicer way to communicate
>> back to the user
>> that it is not possible.
>>
>> We don't really have any documentation about the machine learning APIs,
>> but you can
>> find many examples in our opennlp.tools source code, just look for classes
>> which end with
>> ME, e.g. DocumentCategorizerME is very simple and a good starting point.
>>
>> Jörn
>>
>>
>>
>> On 9/15/11 3:26 PM, Aditya Kulkarni wrote:
>>
>>> Hello Everyone,
>>>
>>> Piece of code:
>>>
>>> SimpleEventStream eventStream = new SimpleEventStream();
>>> this.addEvents( "male", male, eventStream.getEvents()
>>> );
>>> this.addEvents( "female", female, eventStream.getEvents()
>>> );
>>> try {
>>> return GIS.trainModel( (EventStream)eventStream,
>>> true);
>>> //return GIS.trainModel( eventStream, 10, 0 );
>>> } catch (IOException e) {
>>> // TODO Auto-generated catch block
>>> e.printStackTrace();
>>> }
>>>
>>> Error:
>>> GIS.trainModel fails with following error:
>>> ==============================**============================
>>> Indexing events using cutoff of 0
>>>
>>> Computing event counts... Exception in thread "main"
>>> java.lang.NullPointerException
>>> at
>>> opennlp.model.**OnePassDataIndexer.**computeEventCounts(**
>>> OnePassDataIndexer.java:115)
>>> at opennlp.model.**OnePassDataIndexer.<init>(**
>>> OnePassDataIndexer.java:76)
>>> at opennlp.model.**OnePassDataIndexer.<init>(**
>>> OnePassDataIndexer.java:54)
>>> at opennlp.maxent.GISTrainer.**trainModel(GISTrainer.java:**240)
>>> at opennlp.maxent.GIS.trainModel(**GIS.java:123)
>>> at opennlp.maxent.GIS.trainModel(**GIS.java:76)
>>> at MaxentNameClassifier.train(**MaxentNameClassifier.java:121)
>>> at MaxentNameClassifier.demo(**MaxentNameClassifier.java:90)
>>> at MaxentNameClassifier.main(**MaxentNameClassifier.java:62)
>>> ==============================**============================
>>>
>>> Please help! Also if there are any samples/tutorials for using this API,
>>> that will be great pointer!
>>>
>>> Thanks for your time.
>>> -a
>>>
>>>
>>
>
