Use the labels in `train_labels` and `valid_labels` to label the data. `label_cls` will overwrite the default.

def label_from_lists(self, train_labels:Iterator, valid_labels:Iterator, label_cls:Callable=None, **kwargs)->'LabelList':
        "Use the labels in `train_labels` and `valid_labels` to label the data. `label_cls` will overwrite the default."
        label_cls = self.train.get_label_cls(train_labels, label_cls)
        self.train = self.train._label_list(x=self.train, y=label_cls(train_labels, **kwargs))
        self.valid = self.valid._label_list(x=self.valid, y=self.train.y.new(valid_labels, **kwargs))
        self.__class__ = LabelLists
        self.process()
        return self