Package ca.uwo.csd.ai.nlp.libsvm

Examples of ca.uwo.csd.ai.nlp.libsvm.svm_model

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                } else {
                    trainingInstances.add(instances[j]);
                }
            }                                   
           
            svm_model trainModel = train(trainingInstances, param);
            double[] predictions = SVMPredictor.predict(testingInstances, trainModel);
            for (int k = 0; k < predictions.length; k++) {
               
                if (predictions[k] == testingInstances.get(k).getLabel()) {
                //if (Math.abs(predictions[k] - testingInstances.get(k).getLabel()) < 0.00001) {
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        //Setup parameters
        svm_parameter param = new svm_parameter();               
       
        //Train the model
        System.out.println("Training started...");
        svm_model model = SVMTrainer.train(trainingInstances, param);
        System.out.println("Training completed.");
               
        //Save the trained model
        //SVMTrainer.saveModel(model, "a1a.model");
        //model = SVMPredictor.load_model("a1a.model");
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Related Classes of ca.uwo.csd.ai.nlp.libsvm.svm_model

  • ca.uwo.csd.ai.nlp.libsvm.ex.SVMTrainer
  • Demo
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