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Early Stopping PyTorch
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class EarlyStopping(object): | |
def __init__(self, mode='min', min_delta=0, patience=10, percentage=False): | |
self.mode = mode | |
self.min_delta = min_delta | |
self.patience = patience | |
self.best = None | |
self.num_bad_epochs = 0 | |
self.is_better = None | |
self._init_is_better(mode, min_delta, percentage) | |
if patience == 0: | |
self.is_better = lambda a, b: True | |
self.step = lambda a: False | |
def step(self, metrics): | |
if self.best is None: | |
self.best = metrics | |
return False | |
if torch.isnan(metrics): | |
return True | |
if self.is_better(metrics, self.best): | |
self.num_bad_epochs = 0 | |
self.best = metrics | |
else: | |
self.num_bad_epochs += 1 | |
if self.num_bad_epochs >= self.patience: | |
return True | |
return False | |
def _init_is_better(self, mode, min_delta, percentage): | |
if mode not in {'min', 'max'}: | |
raise ValueError('mode ' + mode + ' is unknown!') | |
if not percentage: | |
if mode == 'min': | |
self.is_better = lambda a, best: a < best - min_delta | |
if mode == 'max': | |
self.is_better = lambda a, best: a > best + min_delta | |
else: | |
if mode == 'min': | |
self.is_better = lambda a, best: a < best - ( | |
best * min_delta / 100) | |
if mode == 'max': | |
self.is_better = lambda a, best: a > best + ( | |
best * min_delta / 100) |
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