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Hi,
I am trying to use CRUpdateable for Multi target regression, and I found the CRUpdateable 's default classifier is HoeffdingTree, but when I call method as buildClassifier, it gives me this error:
my code is here 👍
CRUpdateable classifier = new CRUpdateable();
HoeffdingTree ht = new HoeffdingTree();
classifier.setClassifier(ht);
classifier.buildClassifier(trainingInstances);
If the HoeffdingTree is not for regression why it is default classifier in CRUpdateable, and if it is for regression why it doesn't work?
Thanks
Mali
The text was updated successfully, but these errors were encountered:
Indeed, Meka does not explicitly support regression yet. Note that CR = Classifier Relevance, and 'buildClassifier' indicates it is building a classifier.
Hi Jesse,
Thanks for your reply,
As I know Meka recently added MultiTargetClassifier to support regression, and CRUpdateable is one of classes to go in this way:( also it has MultiLabelClassifier to support classification)
public class CRUpdateable extends CR implements IncrementalMultiTargetClassifier
Hi,
I am trying to use CRUpdateable for Multi target regression, and I found the CRUpdateable 's default classifier is HoeffdingTree, but when I call method as buildClassifier, it gives me this error:
weka.core.UnsupportedAttributeTypeException: weka.classifiers.bayes.NaiveBayesUpdateable: Cannot handle numeric class!
my code is here 👍
CRUpdateable classifier = new CRUpdateable();
HoeffdingTree ht = new HoeffdingTree();
classifier.setClassifier(ht);
classifier.buildClassifier(trainingInstances);
If the HoeffdingTree is not for regression why it is default classifier in CRUpdateable, and if it is for regression why it doesn't work?
Thanks
Mali
The text was updated successfully, but these errors were encountered: