Send us a patch to improve the documentation.
Jörn
On Mon, Apr 17, 2017 at 9:44 AM, Saurabh Jain <saurabh4768j...@gmail.com>
wrote:
> Thanks Jeff it worked. I think it is not mentioned in docs.
>
> On Mon, Apr 17, 2017 at 1:20 AM, Jeff Zemerick <jzemer...@apache.org>
> wrote:
>
> > Saurabh,
> >
> > Are there document boundaries (new lines) in your training data?
> >
> > Jeff
> >
> >
> >
> > On Tue, Apr 11, 2017 at 6:07 AM, Saurabh Jain <saurabh4768j...@gmail.com
> >
> > wrote:
> >
> > > Hi All
> > >
> > > I am cross validating NameFinder training data using
> > > TokenNameFinderCrossValidator. Training parameters are as follows:
> > >
> > > Train algorithm name: MAXENT
> > > Trainer Type name: EventModel
> > > Iteration value: 100
> > > Cut off value: 5
> > > Beam size: 5
> > > No of folds: 3
> > > Total training instances: 22351
> > >
> > > Code snippet:
> > >
> > > try {
> > >
> > > evaluate = new TokenNameFinderCrossValidator("en", entity,
> > > trainingParameters, TokenNameFinderFactory.create(null,
> > >
> > > entityExtractionProcessor.getFeatureGenMap().get(entity),
> > > Collections.emptyMap(), new BioCodec()));
> > >
> > > } catch (InvalidFormatException e) {
> > >
> > > e.printStackTrace();
> > >
> > > }
> > >
> > > evaluate.evaluate(sampleStream, 3);
> > >
> > >
> > > evaluate method is giving InsufficientTrainingDataException. Can
> anyone
> > > suggest me why it is happening as I have passed 22351 training
> instances
> > > and if it is 3 folds, then each fold will get around 7000 instances.
> > >
> > >
> > > --
> > > *Thanks & Regards*
> > >
> > >
> > > *Saurabh Jain *
> > > *AI Developer*
> > >
> > > *Active Intelligence *
> > >
> > > *"*
> > > *To do a thing yesterday was the best time . Second best time is today
> > .” *
> > >
> >
>
>
>
> --
> *Thanks & Regards*
>
>
> *Saurabh Jain *
> *AI Developer*
>
> *Active Intelligence *
>
> *"*
> *To do a thing yesterday was the best time . Second best time is today .” *
>
