import cc.mallet.classify.BalancedWinnowTrainer; //导入依赖的package包/类
public TokenClassifiers(InstanceList trainList, int randSeed, int numCV)
		{
//			this(new AdaBoostM2Trainer(new DecisionTreeTrainer(2), 10), trainList, randSeed, numCV);
//			this(new NaiveBayesTrainer(), trainList, randSeed, numCV);
			this(new BalancedWinnowTrainer(), trainList, randSeed, numCV);
//			this(new SVMTrainer(), trainList, randSeed, numCV);
		}
 

import cc.mallet.classify.BalancedWinnowTrainer; //导入依赖的package包/类
public void reset() {
	switch (type) {
	case NaiveBayes:
		this.trainer = new NaiveBayesTrainer();
		this.classifier = null;
		break;
	case AdaBoost:
		this.trainer = new AdaBoostTrainer(new DecisionTreeTrainer());
		this.classifier = null;
		break;
	case AdaBoostM2:
		this.trainer = new AdaBoostM2Trainer(new DecisionTreeTrainer());
		this.classifier = null;
		break;
	// case Bagging:
	// this.trainer = new BaggingTrainer(new DecisionTreeTrainer());
	// this.classifier = null;
	// break;
	case BalancedWinnow:
		this.trainer = new BalancedWinnowTrainer();
		this.classifier = null;
		break;
	// case ConfidencePredictingClassifier:
	// this.trainer = new ConfidencePredictingClassifierTrainer(new
	// DecisionTreeTrainer());
	// this.classifier = null;
	// break;
	case DecisionTree:
		this.trainer = new DecisionTreeTrainer();
		this.classifier = null;
		break;
	default:
		throw new RuntimeException("not implemented");
	}

}