How to use the kaggler.preprocessing.categorical.LabelEncoder function in Kaggler

def __init__(self, min_obs=10):
        """Initialize the OneHotEncoder class object.

        Args:
            min_obs (int): minimum number of observations required to create
                a dummy variable
            label_encoder (LabelEncoder): LabelEncoder that transofrm
        """

        self.min_obs = min_obs
        self.label_encoder = LabelEncoder(min_obs)

elif isinstance(n_emb, list):
            if not n_emb:
                self.n_emb = [None] * len(cat_cols)
            else:
                assert len(cat_cols) == len(n_emb)
                self.n_emb = n_emb
        else:
            raise ValueError('n_emb should be int or list')

        self.min_obs = min_obs
        self.n_epoch = n_epoch
        self.batch_size = batch_size
        self.cv = cv
        self.random_state = random_state

        self.lbe = LabelEncoder(min_obs=self.min_obs)