import weka.classifiers.trees.REPTree; //导入依赖的package包/类
/**
 * Returns a new classifier based on the given algorithm.
 */
protected weka.classifiers.Classifier getClassifier(
		EClassificationAlgorithm algorithm) {
	switch (algorithm) {
	case DECISION_TREE_REP:
		return new REPTree();
	case SUPPORT_VECTOR_MACHINE_SMO:
		return new SMO();
	case COST_SENSITIVE_CLASSIFIER:
		return new CostSensitiveClassifier();
	case DECISION_TREE_J48:
		return new J48();
	default:
		throw new AssertionError(
				"Cannot create a classifier without a specified algorithm.");
	}

}
 

import weka.classifiers.trees.REPTree; //导入依赖的package包/类
public static Classifier trainNoCrossStackingModel(Instances dataSet) throws Exception {
        Classifier meta =
                //                                                new NaiveBayes();
                //                new RandomTree();
                new REPTree();
        //                new J48();
//                new REPTree();
//        meta.setOptions(new String[]{"-S", "58653980"});

//        Classifier[] bases = {
//            loadModel("article_1.5M"),
//            loadModel("buddhism_1.4M"),
//            loadModel("encyclopedia_1.4M"),
//            loadModel("law_1.4M"),
//            loadModel("news_1.3M"),
//            loadModel("novel_1.4M"),
//            loadModel("talk_1"),
//            loadModel("wiki_1.5M"),
//        };

//        Classifier[] bases = {
//            loadModel("article_fold_1_of_3"),
//            loadModel("article_fold_2_of_3"),
//            //            loadModel("article_fold_3_of_3"),
//            loadModel("buddhism_fold_1_of_2"),
//            loadModel("buddhism_fold_2_of_2"),
//            loadModel("encyclopedia_fold_1_of_3"),
//            loadModel("encyclopedia_fold_2_of_3"),
//            //            loadModel("encyclopedia_fold_3_of_3"),
//            loadModel("law_fold_1_of_2"),
//            loadModel("law_fold_2_of_2"),
//            loadModel("news_fold_1_of_5"),
//            loadModel("news_fold_2_of_5"),
//            //            loadModel("news_fold_3_of_5"),
//            //            loadModel("news_fold_4_of_5"),
//            //            loadModel("news_fold_5_of_5"),
//            loadModel("novel_fold_1_of_4"),
//            loadModel("novel_fold_2_of_4"),
//            //            loadModel("novel_fold_3_of_4"),
//            //            loadModel("novel_fold_4_of_4"),
//            loadModel("talk_fold_1_of_1"),
//            loadModel("wiki_fold_1_of_2"),
//            loadModel("wiki_fold_2_of_2"),};

        Classifier[] bases = {
            loadModel("article"),
            loadModel("buddhism"),
            loadModel("encyclopedia"),
            loadModel("law"),
            loadModel("news"),
            loadModel("novel"),
            loadModel("talk"),
            loadModel("wiki")
        };
        return trainNoCrossStackingModel(meta, bases, dataSet);

    }