/** * Gets the current settings of the CheckClusterer. * * @return an array of strings suitable for passing to setOptions */ @Override public String[] getOptions() { Vector<String> result = new Vector<String>(); if (getClusterer() != null) { result.add("-W"); result.add(getClusterer().getClass().getName()); } Collections.addAll(result, super.getOptions()); if ((m_Clusterer != null) && (m_Clusterer instanceof OptionHandler)) { String[] options = ((OptionHandler) m_Clusterer).getOptions(); if (options.length > 0) { result.add("--"); Collections.addAll(result, options); } } return result.toArray(new String[result.size()]); }
/** * Gets the current settings of the CheckClusterer. * * @return an array of strings suitable for passing to setOptions */ @Override public String[] getOptions() { Vector<String> result = new Vector<String>(); if (getClusterer() != null) { result.add("-W"); result.add(getClusterer().getClass().getName()); } Collections.addAll(result, super.getOptions()); if ((m_Clusterer != null) && (m_Clusterer instanceof OptionHandler)) { String[] options = ((OptionHandler) m_Clusterer).getOptions(); if (options.length > 0) { result.add("--"); Collections.addAll(result, options); } } return result.toArray(new String[result.size()]); }
/** * Begin the tests, reporting results to System.out */ @Override public void doTests() { if (getClusterer() == null) { println("\n=== No clusterer set ==="); return; } println("\n=== Check on Clusterer: " + getClusterer().getClass().getName() + " ===\n"); // Start tests println("--> Checking for interfaces"); canTakeOptions(); boolean updateable = updateableClusterer()[0]; boolean weightedInstancesHandler = weightedInstancesHandler()[0]; boolean multiInstanceHandler = multiInstanceHandler()[0]; println("--> Clusterer tests"); declaresSerialVersionUID(); runTests(weightedInstancesHandler, multiInstanceHandler, updateable); }
/** * Begin the tests, reporting results to System.out */ @Override public void doTests() { if (getClusterer() == null) { println("\n=== No clusterer set ==="); return; } println("\n=== Check on Clusterer: " + getClusterer().getClass().getName() + " ===\n"); // Start tests println("--> Checking for interfaces"); canTakeOptions(); boolean updateable = updateableClusterer()[0]; boolean weightedInstancesHandler = weightedInstancesHandler()[0]; boolean multiInstanceHandler = multiInstanceHandler()[0]; println("--> Clusterer tests"); declaresSerialVersionUID(); runTests(weightedInstancesHandler, multiInstanceHandler, updateable); }
addMissing(train, missingLevel, predictorMissing); clusterer = AbstractClusterer.makeCopies(getClusterer(), 1)[0]; } catch (Exception ex) { ex.printStackTrace();
addMissing(train, missingLevel, predictorMissing); clusterer = AbstractClusterer.makeCopies(getClusterer(), 1)[0]; } catch (Exception ex) { ex.printStackTrace();
addMissing(train, missingLevel, predictorMissing); clusterer = AbstractClusterer.makeCopies(getClusterer(), 1)[0]; } catch (Exception ex) { throw new Error("Error setting up for tests: " + ex.getMessage());
addMissing(train, missingLevel, predictorMissing); clusterer = AbstractClusterer.makeCopies(getClusterer(), 1)[0]; } catch (Exception ex) { throw new Error("Error setting up for tests: " + ex.getMessage());
addMissing(train, missingLevel, predictorMissing); clusterers = AbstractClusterer.makeCopies(getClusterer(), 2); evaluationB = new ClusterEvaluation(); evaluationI = new ClusterEvaluation();
addMissing(train, missingLevel, predictorMissing); clusterers = AbstractClusterer.makeCopies(getClusterer(), 2); evaluationB = new ClusterEvaluation(); evaluationI = new ClusterEvaluation();
addMissing(train, missingLevel, predictorMissing, classMissing); clusterers = AbstractClusterer.makeCopies(getClusterer(), 2); evaluationB = new ClusterEvaluation(); evaluationI = new ClusterEvaluation();
addMissing(train, missingLevel, predictorMissing, classMissing); clusterers = AbstractClusterer.makeCopies(getClusterer(), 2); evaluationB = new ClusterEvaluation(); evaluationI = new ClusterEvaluation();
clusterer = AbstractClusterer.makeCopies(getClusterer(), 1)[0]; evaluation1A = new ClusterEvaluation(); evaluation1B = new ClusterEvaluation();
clusterer = AbstractClusterer.makeCopies(getClusterer(), 1)[0]; evaluation1A = new ClusterEvaluation(); evaluation1B = new ClusterEvaluation();