public void testTypical() { m_Filter = getFilter(); Instances result = useFilter(); assertEquals(m_Instances.numAttributes() + 1, result.numAttributes()); assertEquals(m_Instances.numInstances(), result.numInstances()); }
public static void main(String[] args){ junit.textui.TestRunner.run(suite()); } }
/** Creates a default AddCluster, with SimpleKMeans as cluster * @see #getClusterer */ public Filter getFilter() { AddCluster f = new AddCluster(); f.setClusterer(getClusterer()); return f; }
/** * returns the configured FilteredClassifier. Since the base classifier is * determined heuristically, derived tests might need to adjust it. * * @return the configured FilteredClassifier */ protected FilteredClassifier getFilteredClassifier() { FilteredClassifier result; result = new FilteredClassifier(); result.setFilter(getFilter()); result.setClassifier(new weka.classifiers.trees.J48()); return result; }
/** Creates a default AddCluster, with SimpleKMeans as cluster * @see #getClusterer */ public Filter getFilter() { AddCluster f = new AddCluster(); f.setClusterer(getClusterer()); return f; }
/** * returns the configured FilteredClassifier. Since the base classifier is * determined heuristically, derived tests might need to adjust it. * * @return the configured FilteredClassifier */ protected FilteredClassifier getFilteredClassifier() { FilteredClassifier result; result = new FilteredClassifier(); result.setFilter(getFilter()); result.setClassifier(new weka.classifiers.trees.J48()); return result; }
public void testTypical() { m_Filter = getFilter(); Instances result = useFilter(); assertEquals(m_Instances.numAttributes() + 1, result.numAttributes()); assertEquals(m_Instances.numInstances(), result.numInstances()); }
public static void main(String[] args){ junit.textui.TestRunner.run(suite()); } }