def best_broad_type(self):
bestMatchList = []
for i in range(10):
host, name, age = classification_split(self.bestTypes[i])
bestMatchList.append([host, name, age, self.softmax[i]])
host, prevName, bestAge, probTotal, reliableFlag = combined_prob(bestMatchList)
self.labelBestSnType.setText(prevName)
self.labelBestAgeRange.setText(bestAge)
self.labelBestHostType.setText(host)
self.labelBestRedshift.setText(str(self.bestRedshift))
self.labelBestRelProb.setText("%s%%" % str(round(100*probTotal, 2)))
if reliableFlag:
self.labelReliableFlag.setText("Reliable")
self.labelReliableFlag.setStyleSheet('color: green')
else:
self.labelReliableFlag.setText("Unreliable")
self.labelReliableFlag.setStyleSheet('color: red')
def best_broad_type(self, bestMatchList):
host, prevName, bestAge, probTotal, reliableFlag = combined_prob(bestMatchList[0:10])
return (prevName, bestAge, probTotal), reliableFlag