Java, Weka: NaiveBayesUpdateable: Cannot handle numeric class

问题:

I am trying to use NaiveBayesUpdateable classifier from Weka. My data contains both nominal and numeric attributes:

  @relation cars   @attribute country {FR, UK, ...}   @attribute city {London, Paris, ...}   @attribute car_make {Toyota, BMW, ...}   @attribute price numeric   %% car price    @attribute sales numeric   %% number of cars sold 

I need to predict the number of sales (numeric!) based on other attributes. When I run:

    // Train classifier     ArffLoader loader = new ArffLoader();     loader.setFile(new File(trainFileName));     Instances structure = loader.getStructure();     structure.setClassIndex(structure.numAttributes() - 1);      // train NaiveBayes     NaiveBayesUpdateable nb = new NaiveBayesUpdateable();     nb.setUseKernelEstimator(true);     nb.buildClassifier(structure); 

I get exception:

  Exception in thread "main" weka.core.UnsupportedAttributeTypeException: weka.classifiers.bayes.NaiveBayesUpdateable: Cannot handle numeric class!       at weka.core.Capabilities.test(Capabilities.java:954)       at weka.core.Capabilities.test(Capabilities.java:1110)       at weka.core.Capabilities.test(Capabilities.java:1023)       at weka.core.Capabilities.testWithFail(Capabilities.java:1302)       at weka.classifiers.bayes.NaiveBayes.buildClassifier(NaiveBayes.java:213)       at foo.bar.IncrementalClassifier.trainEvalPredict(IncrementalClassifier.java:65)       at foo.bar.IncrementalClassifier.main(IncrementalClassifier.java:36) 

How can I use numeric attribute for Bayes classification in Weka?

回答1:

You can't use the Bayes classifiers in Weka for numeric predictions. None of them support this.

文章来源: Java, Weka: NaiveBayesUpdateable: Cannot handle numeric class