You are viewing a plain text version of this content. The canonical link for it is here.
Posted to users@opennlp.apache.org by mohd saif <sa...@gmail.com> on 2016/12/28 23:13:52 UTC

Getting ambiguity while training my model

Hi,
I am using opennlp-tool-1.6.0.
For training my model i m using

model = NameFinderME.train("en", "person", sampleStream,
TrainingParameters.defaultParams(),
    null, Collections.<String, Object>emptyMap());

For this i am getting below Error:
The method train(String, String, ObjectStream<NameSample>,
TrainingParameters, AdaptiveFeatureGenerator, Map<String,Object>) is
ambiguous for the type NameFinderME

Please help me out.

2. Please tell me how to set cutoff so than i can train my model which have
n-gram frequency=1. I mean how to set cutoff with the train API.

Thanks alot...!!!

Re: Getting ambiguity while training my model

Posted by "Russ, Daniel (NIH/CIT) [E]" <dr...@mail.nih.gov>.
You are getting an error because you are passing a null in for the AdaptiveFeatureGenerator.  Java doesn’t know if you are passing in and AFG or a byte[] (which makes it a different method), hence you get a message about an ambiguous signature.

You are using a depreciated method.  Use the train(String,String,ObjectStream<>,TrainingParameters,TokenNameFinderFactory) method.

You can create a TokenNameFinderFactory using the default constructor, Assuming you are using BioCodec format. I believe that is <START:person>John Smith<END>

Let me know if that works for you.


On 12/28/16, 6:13 PM, "mohd saif" <sa...@gmail.com> wrote:

    Hi,
    I am using opennlp-tool-1.6.0.
    For training my model i m using
    
    model = NameFinderME.train("en", "person", sampleStream,
    TrainingParameters.defaultParams(),
        null, Collections.<String, Object>emptyMap());
    
    For this i am getting below Error:
    The method train(String, String, ObjectStream<NameSample>,
    TrainingParameters, AdaptiveFeatureGenerator, Map<String,Object>) is
    ambiguous for the type NameFinderME
    
    Please help me out.
    
    2. Please tell me how to set cutoff so than i can train my model which have
    n-gram frequency=1. I mean how to set cutoff with the train API.
    
    Thanks alot...!!!

Re: Getting ambiguity while training my model

Posted by "Russ, Daniel (NIH/CIT) [E]" <dr...@mail.nih.gov>.
Have you tried:

		TrainingParameters params=TrainingParameters.defaultParams();
		params.put(TrainingParameters.CUTOFF_PARAM, "1")

On 12/28/16, 6:13 PM, "mohd saif" <sa...@gmail.com> wrote:

    Hi,
    I am using opennlp-tool-1.6.0.
    For training my model i m using
    
    model = NameFinderME.train("en", "person", sampleStream,
    TrainingParameters.defaultParams(),
        null, Collections.<String, Object>emptyMap());
    
    For this i am getting below Error:
    The method train(String, String, ObjectStream<NameSample>,
    TrainingParameters, AdaptiveFeatureGenerator, Map<String,Object>) is
    ambiguous for the type NameFinderME
    
    Please help me out.
    
    2. Please tell me how to set cutoff so than i can train my model which have
    n-gram frequency=1. I mean how to set cutoff with the train API.
    
    Thanks alot...!!!