class_docstr: Early stopping for deep model training
class_docstr_tok: ["Early","stopping","for","deep","model","training"]
code: def __call__(self, val_loss, model):
      score = -val_loss
      if self.best_score is None:
          self.best_score = score
          self.save_best_state_and_dict(val_loss, model)
      elif score < self.best_score + self.delta:
          self.counter += 1
          logger.info(
              f"EarlyStopping counter: {self.counter} out of {self.patience}"
          )
          if self.counter >= self.patience:
              self.early_stop = True
      else:
          self.best_score = score
          self.save_best_state_and_dict(val_loss, model)
          self.counter = 0
  
imports: import logging
  import numpy
label_desc: Use image node_id 2 for calling the EarlyStopping obj's underlying member method code with example usage: obj.__call__(val_loss, model) without return types