protected boolean[] canPredict(boolean nominalPredictor,boolean numericPredictor,boolean stringPredictor,boolean datePredictor,boolean relationalPredictor,boolean multiInstance){
  print("basic predict");
  printAttributeSummary(nominalPredictor,numericPredictor,stringPredictor,datePredictor,relationalPredictor,multiInstance);
  print("...");
  Vector<String> accepts=new Vector<String>();
  accepts.addElement("unary");
  accepts.addElement("binary");
  accepts.addElement("nominal");
  accepts.addElement("numeric");
  accepts.addElement("string");
  accepts.addElement("date");
  accepts.addElement("relational");
  accepts.addElement("multi-instance");
  accepts.addElement("not in classpath");
  int numTrain=getNumInstances(), missingLevel=0;
  boolean predictorMissing=false;
  return runBasicTest(nominalPredictor,numericPredictor,stringPredictor,datePredictor,relationalPredictor,multiInstance,missingLevel,predictorMissing,numTrain,accepts);
}

protected boolean [ ] canPredict ( boolean nominalPredictor , boolean numericPredictor , boolean stringPredictor , boolean datePredictor , boolean relationalPredictor , boolean multiInstance ) { print ( "basic predict" ) ; printAttributeSummary ( nominalPredictor , numericPredictor , stringPredictor , datePredictor , relationalPredictor , multiInstance ) ; print ( "..." ) ; Vector < String > accepts = new Vector < String > ( ) ; accepts . addElement ( "unary" ) ; accepts . addElement ( "binary" ) ; accepts . addElement ( "nominal" ) ; accepts . addElement ( "numeric" ) ; accepts . addElement ( "string" ) ; accepts . addElement ( "date" ) ; accepts . addElement ( "relational" ) ; accepts . addElement ( "multi-instance" ) ; accepts . addElement ( "not in classpath" ) ; int numTrain = getNumInstances ( ) , missingLevel = 0 ; boolean predictorMissing = false ; return runBasicTest ( nominalPredictor , numericPredictor , stringPredictor , datePredictor , relationalPredictor , multiInstance , missingLevel , predictorMissing , numTrain , accepts ) ; }
checks basic prediction of the scheme , for simple non - troublesome datasets .
