/** * Gets the current settings of the CheckClassifier. * * @return an array of strings suitable for passing to setOptions */ @Override public String[] getOptions() { Vector<String> result; String[] options; result = new Vector<String>(); Collections.addAll(result, super.getOptions()); if (getClassifier() != null) { result.add("-W"); result.add(getClassifier().getClass().getName()); } if ((m_Classifier != null) && (m_Classifier instanceof OptionHandler)) { options = ((OptionHandler) m_Classifier).getOptions(); if (options.length > 0) { result.add("--"); Collections.addAll(result, options); } } return result.toArray(new String[result.size()]); }
/** * Gets the current settings of the CheckClassifier. * * @return an array of strings suitable for passing to setOptions */ @Override public String[] getOptions() { Vector<String> result; String[] options; result = new Vector<String>(); Collections.addAll(result, super.getOptions()); if (getClassifier() != null) { result.add("-W"); result.add(getClassifier().getClass().getName()); } if ((m_Classifier != null) && (m_Classifier instanceof OptionHandler)) { options = ((OptionHandler) m_Classifier).getOptions(); if (options.length > 0) { result.add("--"); Collections.addAll(result, options); } } return result.toArray(new String[result.size()]); }
public void doTests() { if (getClassifier() == null) { println("\n=== No classifier set ==="); return; + getClassifier().getClass().getName() + " ===\n");
public void doTests() { if (getClassifier() == null) { println("\n=== No classifier set ==="); return; + getClassifier().getClass().getName() + " ===\n");
classMissing); classifier = AbstractClassifier.makeCopies(getClassifier(), 1)[0]; evaluation = new Evaluation(train); } catch (Exception ex) {
classMissing); classifier = AbstractClassifier.makeCopies(getClassifier(), 1)[0]; evaluation = new Evaluation(train); } catch (Exception ex) {
classMissing); classifiers = AbstractClassifier.makeCopies(getClassifier(), 2); classifiers[0].buildClassifier(train); classifiers[1].buildClassifier(train);
classMissing); classifiers = AbstractClassifier.makeCopies(getClassifier(), 2); classifiers[0].buildClassifier(train); classifiers[1].buildClassifier(train);
classifier = AbstractClassifier.makeCopies(getClassifier(), 1)[0]; evaluation1A = new Evaluation(train1); evaluation1B = new Evaluation(train1);
classifier = AbstractClassifier.makeCopies(getClassifier(), 1)[0]; evaluation1A = new Evaluation(train1); evaluation1B = new Evaluation(train1);
classMissing); classifiers = AbstractClassifier.makeCopies(getClassifier(), 2); evaluationB = new Evaluation(train); evaluationI = new Evaluation(train);
classMissing); classifiers = AbstractClassifier.makeCopies(getClassifier(), 2); evaluationB = new Evaluation(train); evaluationI = new Evaluation(train);
classMissing); classifier = AbstractClassifier.makeCopies(getClassifier(), 1)[0]; evaluation = new Evaluation(train); } catch (Exception ex) {
classMissing); classifier = AbstractClassifier.makeCopies(getClassifier(), 1)[0]; evaluation = new Evaluation(train); } catch (Exception ex) {
classMissing); classifiers = AbstractClassifier.makeCopies(getClassifier(), 2); evaluationB = new Evaluation(train); evaluationI = new Evaluation(train);
classMissing); classifiers = AbstractClassifier.makeCopies(getClassifier(), 2); evaluationB = new Evaluation(train); evaluationI = new Evaluation(train);