Find out the maximum value of all indicators in epoch [tips]

When running deep learning training , We need to find the model with the best index as the training result , You can use the following program to find .

explain ：roc_auc_score: Find the function of any evaluation index , It returns a number

s_obs = Score_Observer('AUROC') 
s_obs.update(roc_auc_score(is_anomaly, anomaly_score), epoch,
                             print_score=True)

class Score_Observer:

    def __init__(self, name):
        self.name = name
        self.max_epoch = 0
        self.max_score = 0
        self.last = 0

    def update(self, score, epoch, print_score=False):
        self.last = score
        if self.max_score == None or score > self.max_score:
            self.max_score = score
            self.max_epoch = epoch
        if print_score:
            self.print_score()

    def print_score(self):
        print('{:s}: \t last: {:.4f} \t max: {:.4f} \t epoch_max: {:d}'.format(self.name, self.last, self.max_score, self.max_epoch))