'Load model checkpoint from file.
Parameters
prefix : str
Prefix of model name.
epoch : int
epoch number of model we would like to load.
ctx : Context or list of Context, optional
The device context of training and prediction.
kwargs : dict
Other parameters for model, including `num_epoch`, optimizer and `numpy_batch_size`.
Returns
model : FeedForward
The loaded model that can be used for prediction.
Notes
- ``prefix-symbol.json`` will be saved for symbol.
- ``prefix-epoch.params`` will be saved for parameters.'

@staticmethod
def load(prefix, epoch, ctx=None, **kwargs):

    (symbol, arg_params, aux_params) = load_checkpoint(prefix, epoch)
    return FeedForward(symbol, ctx=ctx, arg_params=arg_params, aux_params=aux_params, begin_epoch=epoch, **kwargs)
