/** * Builds the classifiers. * * @param insts the training data. * @throws Exception if a classifier can't be built */ public void buildClassifier(Instances insts) throws Exception { Instances newInsts; // can classifier handle the data? getCapabilities().testWithFail(insts); // remove instances with missing class insts = new Instances(insts); insts.deleteWithMissingClass(); m_Classifiers = AbstractClassifier.makeCopies(m_Classifier, insts.numClasses()); m_ClassFilters = new MakeIndicator[insts.numClasses()]; for (int i = 0; i < insts.numClasses(); i++) { m_ClassFilters[i] = new MakeIndicator(); m_ClassFilters[i].setAttributeIndex("" + (insts.classIndex() + 1)); m_ClassFilters[i].setValueIndex(i); m_ClassFilters[i].setNumeric(true); m_ClassFilters[i].setInputFormat(insts); newInsts = Filter.useFilter(insts, m_ClassFilters[i]); m_Classifiers[i].buildClassifier(newInsts); } }
/** * Builds the classifiers. * * @param insts the training data. * @throws Exception if a classifier can't be built */ public void buildClassifier(Instances insts) throws Exception { Instances newInsts; // can classifier handle the data? getCapabilities().testWithFail(insts); // remove instances with missing class insts = new Instances(insts); insts.deleteWithMissingClass(); m_Classifiers = AbstractClassifier.makeCopies(m_Classifier, insts.numClasses()); m_ClassFilters = new MakeIndicator[insts.numClasses()]; for (int i = 0; i < insts.numClasses(); i++) { m_ClassFilters[i] = new MakeIndicator(); m_ClassFilters[i].setAttributeIndex("" + (insts.classIndex() + 1)); m_ClassFilters[i].setValueIndex(i); m_ClassFilters[i].setNumeric(true); m_ClassFilters[i].setInputFormat(insts); newInsts = Filter.useFilter(insts, m_ClassFilters[i]); m_Classifiers[i].buildClassifier(newInsts); } }