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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via Google Groups by D Razz, 1 year 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.
via Google Groups by Abril Uriarte, 2 years ago
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 Zara Rezaie, 1 year ago
via Stack Overflow by Unknown author, 2 years ago
Problem creating instance of class: LearnModel
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.
via Google Groups by Mahdi Bazargani, 2 years ago
Problem with options to 'ArffFileStream'. Valid options for ArffFileStream: -f arffFile ARFF file to load. -c classIndex (default: -1) Class index of data. 0 for none or -1 for last attribute in file.
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.WEKAClassOption.setValueViaCLIString(WEKAClassOption.jav:80)
at moa.options.AbstractOption.resetToDefault(AbstractOption.java:98)
at moa.options.AbstractClassOption.(AbstractClassOption.java:93)
at moa.options.AbstractClassOption.(AbstractClassOption.java:72)
at moa.options.WEKAClassOption.(WEKAClassOption.java:48)
at moa.classifiers.meta.WEKAClassifier.(WEKAClassifier.java:49)
at moa.classifiers.multilabel.MEKAClassifier.(MEKAClassifier.java37)

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