def finetune(self, Xs, Y=None, batch_size=None):
"""
:param \*Xs: lists of text inputs, shape [batch, n_fields]
:param Y: floating point targets
:param batch_size: integer number of examples per batch. When N_GPUS > 1, this number
corresponds to the number of training examples provided to each GPU.
"""
return BaseModel.finetune(self, Xs, Y=Y, batch_size=batch_size)
def finetune(self, Xs, Y=None, batch_size=None):
"""
:param \*Xs: lists of text inputs, shape [batch, n_fields]
:param Y: integer or string-valued class labels. It is necessary for the items of Y to be sortable.
:param batch_size: integer number of examples per batch. When N_GPUS > 1, this number
corresponds to the number of training examples provided to each GPU.
"""
return BaseModel.finetune(self, Xs, Y=Y, batch_size=batch_size)
