code: def plot(self, n_skip=10, n_skip_end=5):
          '''
          Plots the loss function with respect to learning rate, in log scale. 
          '''
          plt.ylabel("validation loss")
          plt.xlabel("learning rate (log scale)")
          plt.plot(self.lrs[n_skip:-(n_skip_end+1)], self.losses[n_skip:-(n_skip_end+1)])
          plt.xscale('log'f plot(self, n_skip=10, n_skip_end=5):
          '''
          Plots the loss function with respect to learning rate, in log scale. 
          '''
          plt.ylabel("validation loss")
          plt.xlabel("learning rate (log scale)")
          plt.plot(self.lrs[n_skip:-(n_skip_end+1)], self.losses[n_skip:-(n_skip_end+1)])
          plt.xscale('log')
docs: Plots the loss function with respect to learning rate, in log scale.