public MLResults execute(Script script){
  ScriptExecutor scriptExecutor=new ScriptExecutor(sparkMonitoringUtil);
  scriptExecutor.setExplain(explain);
  scriptExecutor.setExplainLevel(explainLevel);
  scriptExecutor.setStatistics(statistics);
  scriptExecutor.setInit(scriptHistoryStrings.isEmpty());
  return execute(script,scriptExecutor);
}

public MLResults execute ( Script script ) { ScriptExecutor scriptExecutor = new ScriptExecutor ( sparkMonitoringUtil ) ; scriptExecutor . setExplain ( explain ) ; scriptExecutor . setExplainLevel ( explainLevel ) ; scriptExecutor . setStatistics ( statistics ) ; scriptExecutor . setInit ( scriptHistoryStrings . isEmpty ( ) ) ; return execute ( script , scriptExecutor ) ; }
execute a dml or pydml script .
