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
>>
>>
>
