code: def step(self, metrics):
          
  
          if self.best is None:
              self.best = metrics
              return False
  
          if np.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
docs: EarlyStopping step on each epoch
          Arguments:
              metrics {float} -- metric value