Checkpoint the model checkpoint into file.
        You can also use `pickle` to do the job if you only work on Python.
        The advantage of `load` and `save` (as compared to `pickle`) is that
        the resulting file can be loaded from other MXNet language bindings.
        One can also directly `load`/`save` from/to cloud storage(S3, HDFS)

        Parameters
        ----------
        prefix : str
            Prefix of model name.

        Notes
        -----
        - ``prefix-symbol.json`` will be saved for symbol.
        - ``prefix-epoch.params`` will be saved for parameters.

def save(self, prefix, epoch=None):
        """Checkpoint the model checkpoint into file.
        You can also use `pickle` to do the job if you only work on Python.
        The advantage of `load` and `save` (as compared to `pickle`) is that
        the resulting file can be loaded from other MXNet language bindings.
        One can also directly `load`/`save` from/to cloud storage(S3, HDFS)

        Parameters
        ----------
        prefix : str
            Prefix of model name.

        Notes
        -----
        - ``prefix-symbol.json`` will be saved for symbol.
        - ``prefix-epoch.params`` will be saved for parameters.
        """
        if epoch is None:
            epoch = self.num_epoch
        assert epoch is not None
        save_checkpoint(prefix, epoch, self.symbol, self.arg_params, self.aux_params)