java 如何使用java代码在weka中使用新实例测试现有模型？
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How to test existing model with new instance in weka, using java code?
提问by Nav Ali
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 ?
我有我通过 Weka GUI 获得的分类器之一的 .model 文件。现在我想在某个实例上测试这个模型。谁能告诉我怎么做？
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?
我不想像这段代码那样一次又一次地构建分类器。如何使用 .model 文件执行此操作？
// Test the model
Evaluation eTest = new Evaluation(isTrainingSet);
eTest.evaluateModel(cModel, isTrainingSet);
回答by ronny
Combining your code with the code found in the link provided by Omer:
将您的代码与 Omer 提供的链接中的代码相结合：
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);
回答by rapid2share
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.SerializationHelper3) reload them in your application and make prediction
如果您想在不重建/重新训练分类器/过滤器的情况下预测新实例，您也应该训练您的过滤器，您应该：1) 训练它们 2) 保存它们 weka.core.SerializationHelper3) 在您的应用程序中重新加载它们并进行预测
