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Waikato / moa

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
http://moa.cms.waikato.ac.nz/
GNU General Public License v3.0
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Cannot handle numeric class #169

Closed haokeliu closed 3 years ago

haokeliu commented 5 years ago

Hi: I made an error when using MOA to learn the Flags.arff dataset incremental: weka.core.UnsupportedAttributeTypeException: weka.classifiers.trees.HoeffdingTree: Cannot handle numeric class! The command line is：EvaluatePrequentialMultiTarget -l (multilabel.MEKAClassifier -l (meka.classifiers.multilabel.incremental.BRUpdateable -W weka.classifiers.trees.HoeffdingTree -- -L 2 -S 1 -E 1.0E-7 -H 0.05 -M 0.01 -G 200.0 -N 0.0)) -s (MultiTargetArffFileStream -f (E:\Program Files\multi-Label\dataset\Real\Flags.arff) -c -7) -e BasicMultiLabelPerformanceEvaluator Detailed error information： {M}assive {O}nline {A}nalysis Version: 18.06 June 2018 Copyright: (C) 2007-2018 University of Waikato, Hamilton, New Zealand Web: http://moa.cms.waikato.ac.nz/

[WARNING] Only 0 labels found! (Expecting 7) (Ignoring this prediction) 三月 21, 2019 2:43:45 下午 com.github.fommil.netlib.ARPACK 警告: Failed to load implementation from: com.github.fommil.netlib.NativeSystemARPACK 三月 21, 2019 2:43:45 下午 com.github.fommil.jni.JniLoader liberalLoad 信息: successfully loaded C:\Users\芝士\AppData\Local\Temp\jniloader7654186575430500792netlib-native_ref-win-x86_64.dll [ERROR] Failed to build classifier, L=7 weka.core.UnsupportedAttributeTypeException: weka.classifiers.trees.HoeffdingTree: Cannot handle numeric class! at weka.core.Capabilities.test(Capabilities.java:1067) at weka.core.Capabilities.test(Capabilities.java:1256) at weka.core.Capabilities.test(Capabilities.java:1138) at weka.core.Capabilities.testWithFail(Capabilities.java:1468) at weka.classifiers.trees.HoeffdingTree.buildClassifier(HoeffdingTree.java:751) at meka.classifiers.multilabel.BR.buildClassifier(BR.java:75) at moa.classifiers.multilabel.MEKAClassifier.trainOnInstanceImpl(MEKAClassifier.java:107) at moa.classifiers.AbstractMultiLabelLearner.trainOnInstanceImpl(AbstractMultiLabelLearner.java:20) at moa.classifiers.AbstractClassifier.trainOnInstance(AbstractClassifier.java:178) at moa.classifiers.AbstractClassifier.trainOnInstance(AbstractClassifier.java:249) at moa.tasks.EvaluatePrequentialMultiTarget.doMainTask(EvaluatePrequentialMultiTarget.java:211) at moa.tasks.MainTask.doTaskImpl(MainTask.java:50) at moa.tasks.AbstractTask.doTask(AbstractTask.java:57) at moa.tasks.TaskThread.run(TaskThread.java:76) [WARNING] Failed to get votes from multi-label classifier (not trained yet?). Can you help me?

abifet commented 3 years ago

It seems that you're using the WEKA implementation of Hoeffding Tree, instead of the MOA one.