parameters: (self, prefix, epoch=None)
docstring: 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/save is the file is language agnostic.
          This means the file saved using save can be loaded by other language binding of mxnet.
          You also get the benefit being able to directly load/save from cloud storage(S3, HDFS)
          Parameters
          ----------
          prefix : str
              Prefix of model name.
          See Also
          --------
          Symbol.load : the method to load the model back.
          Notes
          -----
          - ``prefix-symbol.json`` will be saved for symbol.
          - ``prefix-epoch.params`` will be saved for parameters.
docstring_summary: 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/save is the file is language agnostic.
          This means the file saved using save can be loaded by other language binding of mxnet.
          You also get the benefit being able to directly load/save from cloud storage(S3, HDFS)
          Parameters
          ----------
          prefix : str
              Prefix of model name.
          See Also
          --------
          Symbol.load : the method to load the model back.
          Notes
          -----
          - ``prefix-symbol.json`` will be saved for symbol.
          - ``prefix-epoch.params`` will be saved for parameters.
docstring_tokens: 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 / save is the file is language agnostic . This means the file saved using save can be loaded by other language binding of mxnet . You also get the benefit being able to directly load / save from cloud storage ( S3 HDFS ) Parameters ---------- prefix : str Prefix of model name . See Also -------- Symbol . load : the method to load the model back . Notes ----- - prefix - symbol . json will be saved for symbol . - prefix - epoch . params will be saved for parameters .
function: 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/save is the file is language agnostic.
          This means the file saved using save can be loaded by other language binding of mxnet.
          You also get the benefit being able to directly load/save from cloud storage(S3, HDFS)
          Parameters
          ----------
          prefix : str
              Prefix of model name.
          See Also
          --------
          Symbol.load : the method to load the model back.
          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)
function_tokens: def save ( self , prefix , epoch = None ) : 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 )