boolean weighted, boolean multiInstance) { boolean PNom = canPredict(true, false, false, false, false, multiInstance, classType)[0]; boolean PNum = canPredict(false, true, false, false, false, multiInstance, classType)[0]; boolean PStr = canPredict(false, false, true, false, false, multiInstance, classType)[0]; boolean PDat = canPredict(false, false, false, true, false, multiInstance, classType)[0]; boolean PRel; if (!multiInstance) { PRel = canPredict(false, false, false, false, true, multiInstance, classType)[0]; } else {
boolean weighted, boolean multiInstance) { boolean PNom = canPredict(true, false, false, false, false, multiInstance, classType)[0]; boolean PNum = canPredict(false, true, false, false, false, multiInstance, classType)[0]; boolean PStr = canPredict(false, false, true, false, false, multiInstance, classType)[0]; boolean PDat = canPredict(false, false, false, true, false, multiInstance, classType)[0]; boolean PRel; if (!multiInstance) { PRel = canPredict(false, false, false, false, true, multiInstance, classType)[0]; } else {
result = m_Tester.canPredict(nom, num, str, dat, rel, m_multiInstanceHandler, i); if (nom) {
result = m_Tester.canPredict(nom, num, str, dat, rel, m_multiInstanceHandler, i); if (nom) {