code: def get_status(self):
      return (
          "Train loss: {}, Validation loss: {} @ iteration {}".format(
              self.loss_values[self.learner.uid]["train"][-1],
              self.loss_values[self.learner.uid]["validation"][-1],
              len(self.loss_values[self.learner.uid]["iters"]),
          )
      )
  
file_path: mljar-supervised/supervised/callbacks/early_stopping.py
imports: import logging
  import os
  import numpy
  import pandas
  from supervised.callbacks.callback import Callback
  from supervised.utils.config import LOG_LEVEL
  from supervised.utils.metric import Metric
  from supervised.utils.config import mem
label_desc: Use image node_id 6 for calling the EarlyStopping obj's underlying member method code with example usage: obj.get_status() and returns: str