class_docstr: Callback for auto-logging metrics and parameters.
code: def on_epoch_end(self, epoch, logs=None):
      if self.model is not None and epoch % self.log_every_n_epoch == 0:
          self._log_metrics(logs, epoch)
          self.epoch = epoch
  
file_path: mlflow/mlflow/paddle/_paddle_autolog.py
imports: import paddle
  import mlflow
  from mlflow.utils.autologging_utils import BatchMetricsLogger, ExceptionSafeAbstractClass, MlflowAutologgingQueueingClient, get_autologging_config
label_desc: Use image node_id 3 for calling the __MLflowPaddleCallback obj's underlying member method code with example usage: obj.on_epoch_end(epoch, logs) without return types