Java 在Weka 3.6.5+中添加实例并对其进行分类；

我有一个Train.arff文件，我想向其中添加新实例（比如“2，F，222 1002-5”，然后对最后的属性进行分类。我所有的属性都是名义上的

@attribute age {2,3,4,5,6}
@attribute gender {F,M}
@attribute zipcode {22222,33333,11111}
@attribute race {1002-5,2028-9,2054-5,2076-8,2106-3}
@attribute service {H0018,H2034,H0004,H0009,H0006}

@data
2,F,22222,1002-5,H0018

装载列车。arff

添加实例

        Instance inst = new Instance(10);
        inst.setValue(trainData.attribute(0), age);
        inst.setValue(trainData.attribute(1), administrativeGenderCode);
        inst.setValue(trainData.attribute(2), zipCode);
        inst.setValue(trainData.attribute(3), race);
        inst.setValue(trainData.attribute(4), "H2034");

        // inst.setDataset(trainData);

        // add
        trainData.add(inst);

建筑分级机

public String buildAndClassify() {
    //build model
    Logistic model = new Logistic();
    try {
        model.buildClassifier(trainData); <-- fails

        Instances labeled = new Instances(trainData);
        double clsLabel = model.classifyInstance(trainData.lastInstance());
        labeled.lastInstance().setClassValue(clsLabel);

        System.out.print(labeled.lastInstance().stringValue(7));

        return labeled.lastInstance().stringValue(7);

    } catch (Exception e) {
        e.printStackTrace();
    }

    return "";
}   

公共字符串buildAndClassify（）{
//构建模型
逻辑模型=新逻辑模型（）；
试一试{
model.buildClassifier（trainData）；这很有效！

        Instance inst = new Instance(4); <-- Adjust number of instances you want to add.

        inst.setValue(trainData.attribute(0), age);
        inst.setValue(trainData.attribute(1), administrativeGenderCode);
        inst.setValue(trainData.attribute(2), zipCode);
        inst.setValue(trainData.attribute(3), race);
//      inst.setValue(trainData.attribute(4), "H2034"); <-- Do not add the instance you want to classify.

Instance inst=新实例（4）；