java.lang.Exception

Problem with options to 'EvaluateModel'. Valid options for EvaluateModel: -m model (default: LearnModel) Classifier to evaluate. -s stream (default: generators.RandomTreeGenerator) Stream to evaluate on. -e evaluator (default: BasicClassificationPerformanceEvaluator) Classification performance evaluation method. -i maxInstances (default: 1000000) Maximum number of instances to test. -o outputPredictionFile File to append output predictions to. -O taskResultFile File to save the final result of the task to.

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Solutions on the web5242

  • via Google Groups by D Razz, 9 months ago
    : BasicClassificationPerformanceEvaluator) Classification performance evaluation method. -i maxInstances (default: 1000000) Maximum number of instances to test. -o outputPredictionFile File to append output predictions to. -O taskResultFile File to save the final result of the task to.
  • csv results to. -o outputPredictionFile File to append output predictions to. -w width (default: 1000) Size of Window -a alpha (default: 0.01) Fading factor or exponential smoothing factor -O taskResultFile File to save the final result of the task to.
  • via Google Groups by Domenico Mancuso, 1 year ago
    intermediate csv results to. -o outputPredictionFile File to append output predictions to. -w width (default: 1000) Size of Window -a alpha (default: 0.01) Fading factor or exponential smoothing factor -O taskResultFile File to save the final result of the task to.
  • Stack trace

    • java.lang.Exception: Problem with options to 'EvaluateModel'. Valid options for EvaluateModel: -m model (default: LearnModel) Classifier to evaluate. -s stream (default: generators.RandomTreeGenerator) Stream to evaluate on. -e evaluator (default: BasicClassificationPerformanceEvaluator) Classification performance evaluation method. -i maxInstances (default: 1000000) Maximum number of instances to test. -o outputPredictionFile File to append output predictions to. -O taskResultFile File to save the final result of the task to. at moa.options.ClassOption.cliStringToObject(ClassOption.java:156) at moa.DoTask.main(DoTask.java:130) Caused by: java.lang.IllegalArgumentException: Problems with option: model at moa.options.ClassOption.setValueViaCLIString(ClassOption.java:69) at moa.options.Options.setViaCLIString(Options.java:145) at moa.options.ClassOption.cliStringToObject(ClassOption.java:154) ... 1 more Caused by: java.lang.Exception: Problem with options to 'LearnModel'. Valid options for LearnModel: -l learner (default: bayes.NaiveBayes) Classifier to train. -s stream (default: generators.RandomTreeGenerator) Stream to learn from. -m maxInstances (default: 10000000) Maximum number of instances to train on per pass over the data. -p numPasses (default: 1) The number of passes to do over the data. -q memCheckFrequency (default: 100000) How many instances between memory bound checks. -O taskResultFile File to save the final result of the task to. at moa.options.ClassOption.cliStringToObject(ClassOption.java:156) at moa.options.ClassOption.setValueViaCLIString(ClassOption.java:67) ... 3 more Caused by: java.lang.IllegalArgumentException: Problems with option: learner at moa.options.ClassOption.setValueViaCLIString(ClassOption.java:69) at moa.options.Options.setViaCLIString(Options.java:145) at moa.options.ClassOption.cliStringToObject(ClassOption.java:154) ... 4 more Caused by: java.lang.Exception: Problem creating instance of class: multilabel. EKAClassifier at moa.options.ClassOption.cliStringToObject(ClassOption.java:136) at moa.options.ClassOption.setValueViaCLIString(ClassOption.java:67) ... 6 more Caused by: java.lang.IllegalArgumentException: Problems with option: baseLearne at moa.options.WEKAClassOption.setValueViaCLIString(WEKAClassOption.jav:80) at moa.options.AbstractOption.resetToDefault(AbstractOption.java:98) at moa.options.AbstractClassOption.<init>(AbstractClassOption.java:93) at moa.options.AbstractClassOption.<init>(AbstractClassOption.java:72) at moa.options.WEKAClassOption.<init>(WEKAClassOption.java:48) at moa.classifiers.meta.WEKAClassifier.<init>(WEKAClassifier.java:49) at moa.classifiers.multilabel.MEKAClassifier.<init>(MEKAClassifier.java37)

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