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)