69904e2f12f32f2336bb5c8434b4e690f6df02ea,framework/Models/HybridModel.py,HybridModel,isRomConverged,#HybridModel#Any#,361

Before Change

    for cvKey, metricValues in outputDict.items():
      //for targetName, metricInfo in outputDict.items():
      // very temporary solution
      info = self.cvInstance.interface._returnCharacteristicsOfCvGivenOutputName(cvKey)
      if info["targetName"] in exploredTargets:
        self.raiseAnError(IOError, "Multiple metrics are used in cross validation "", self.cvInstance.name, "". Currently, this can not be processed by the HybridModel "", self.name, ""!")
      exploredTargets.append(info["targetName"])
      name = utils.first(self.cvInstance.interface.metricsDict.keys())
      converged = self.checkErrors(info["metricType"], metricValues)
    return converged

After Change

    converged = True
    // very temporary solution
    for romName, metricInfo in outputDict.items():
      converged = self.checkErrors(metricInfo[0], metricInfo[1])
    return converged

  def checkErrors(self, metricType, metricResults):

Instances