accepts.add("multi-instance"); accepts.add("not in classpath"); int numTrain = getNumInstances(), numTest = getNumInstances(), numClasses = 2, missingLevel = 0; boolean predictorMissing = false, classMissing = false;
accepts.add("multi-instance"); accepts.add("not in classpath"); int numTrain = getNumInstances(), numTest = getNumInstances(), numClasses = 2, missingLevel = 0; boolean predictorMissing = false, classMissing = false;
accepts.add("class"); accepts.add("zeror"); int numTrain = getNumInstances(), numTest = getNumInstances(), missingLevel = 0; boolean predictorMissing = false, classMissing = false;
accepts.add("class"); accepts.add("zeror"); int numTrain = getNumInstances(), numTest = getNumInstances(), missingLevel = 0; boolean predictorMissing = false, classMissing = false;
accepts.add("number"); accepts.add("class"); int numTrain = getNumInstances(), numTest = getNumInstances(), missingLevel = 0; boolean predictorMissing = false, classMissing = false;
accepts.add("number"); accepts.add("class"); int numTrain = getNumInstances(), numTest = getNumInstances(), missingLevel = 0; boolean predictorMissing = false, classMissing = false;
accepts.add("train"); accepts.add("value"); int numTrain = 0, numTest = getNumInstances(), numClasses = 2, missingLevel = 0; boolean predictorMissing = false, classMissing = false;
accepts.add("train"); accepts.add("value"); int numTrain = 0, numTest = getNumInstances(), numClasses = 2, missingLevel = 0; boolean predictorMissing = false, classMissing = false;
print("..."); ArrayList<String> accepts = new ArrayList<String>(); int numTrain = getNumInstances(), numTest = getNumInstances(), numClasses = 2, missingLevel = 0; boolean predictorMissing = false, classMissing = false;
print("..."); ArrayList<String> accepts = new ArrayList<String>(); int numTrain = getNumInstances(), numTest = getNumInstances(), numClasses = 2, missingLevel = 0; boolean predictorMissing = false, classMissing = false;
accepts.add("value"); accepts.add("train"); int numTrain = getNumInstances(), numTest = getNumInstances(), numClasses = 2;
accepts.add("value"); accepts.add("train"); int numTrain = getNumInstances(), numTest = getNumInstances(), numClasses = 2;
datePredictor, relationalPredictor, multiInstance, classType); print("..."); int numTrain = 2 * getNumInstances(), numTest = getNumInstances(), numClasses = 2, missingLevel = 0; boolean predictorMissing = false, classMissing = false;
train = m_Tester.makeTestDataset(42, m_Tester.getNumInstances(), m_NominalPredictors[i] ? m_Tester.getNumNominal() : 0, m_NumericPredictors[i] ? m_Tester.getNumNumeric() : 0,
datePredictor, relationalPredictor, multiInstance, classType); print("..."); int numTrain = getNumInstances(), numTest = getNumInstances(), numClasses = 2, missingLevel = 20;
train = m_Tester.makeTestDataset(42, m_Tester.getNumInstances(), m_NominalPredictors[i] ? m_Tester.getNumNominal() : 0, m_NumericPredictors[i] ? m_Tester.getNumNumeric() : 0,
datePredictor, relationalPredictor, multiInstance, classType); print("..."); int numTrain = getNumInstances(), numTest = getNumInstances(), numClasses = 2, missingLevel = 20;
datePredictor, relationalPredictor, multiInstance, classType); print("..."); int numTrain = 2 * getNumInstances(), numTest = getNumInstances(), numClasses = 2, missingLevel = 0; boolean predictorMissing = false, classMissing = false;
datePredictor, relationalPredictor, multiInstance, classType); print("..."); int numTrain = getNumInstances(), numTest = getNumInstances(), numClasses = 2, missingLevel = 0; boolean predictorMissing = false, classMissing = false;
datePredictor, relationalPredictor, multiInstance, classType); print("..."); int numTrain = getNumInstances(), numTest = getNumInstances(), numClasses = 2, missingLevel = 0; boolean predictorMissing = false, classMissing = false;