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I have a .model file of one of the classifier which I got through Weka GUI. Now I would like to test this model on some instance. Can anyone tell me how to do this ?

Classifier cModel = (Classifier)new NaiveBayes();  
cModel.buildClassifier(isTrainingSet);

I don't want to build classifier again and again like in this code. How to do this using .model file?

 // Test the model
 Evaluation eTest = new Evaluation(isTrainingSet);
 eTest.evaluateModel(cModel, isTrainingSet);
om-nom-nom
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Nav Ali
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2 Answers2

15

Combining your code with the code found in the link provided by Omer:

Classifier cModel = (Classifier)new NaiveBayes();  
cModel.buildClassifier(isTrainingSet);  

weka.core.SerializationHelper.write("/some/where/nBayes.model", cModel);

Classifier cls = (Classifier) weka.core.SerializationHelper.read("/some/where/nBayes.model");

// Test the model
Evaluation eTest = new Evaluation(isTrainingSet);
eTest.evaluateModel(cls, isTrainingSet);
ronny
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2

you shoud train your filter too if you want to predict new instances without rebuild /retrain your classifier / filter you shoud: 1) train both of them 2) save them with weka.core.SerializationHelper 3) reload them in your application and make prediction

rapid2share
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