-D If set, classifier is run in debug mode and may output additional info to the console
543544545546547548549550551552
protected void resetOptions () { m_trainInstances = null; m_Evaluation = null; m_BaseClassifier = new ZeroR(); m_folds = 5; m_seed = 1; m_threshold = 0.01; }
343344345346347348349350351352353
newData.deleteWithMissingClass(); double sum = 0; double temp_sum = 0; // Add the model for the mean first m_zeroR = new ZeroR(); m_zeroR.buildClassifier(newData); // only class? -> use only ZeroR model if (newData.numAttributes() == 1) { System.err.println(
18381839184018411842184318441845184618471848
Random random = new Random(m_Seed); m_zeroR = null; if (data.numAttributes() == 1) { m_zeroR = new ZeroR(); m_zeroR.buildClassifier(data); return; } // Randomize and stratify
437438439440441442443444445446447
insts.deleteWithMissingClass(); if (m_Classifier == null) { throw new Exception("No base classifier has been set!"); } m_ZeroR = new ZeroR(); m_ZeroR.buildClassifier(insts); m_TwoClassDataset = null; int numClassifiers = insts.numClasses();
514515516517518519520521
m_NNSearch.setInstances(m_Train); // Invalidate any currently cross-validation selected k m_kNNValid = false; m_defaultModel = new ZeroR(); m_defaultModel.buildClassifier(instances); }