class_docstr: Base class for encoders that includes the code to categorize and
  transform the input features.
code: def _more_tags(self):
      return {"X_types": ["categorical"]}
  
imports: import copy
  from numbers import Integral
  import numpy
  from scipy import sparse
  from sklearn.base import BaseEstimator, TransformerMixin
  from sklearn.utils import check_array
  from sklearn.utils.validation import check_is_fitted
  from autogluon.features.generators import LabelEncoderFeatureGenerator
label_desc: Use image node_id 6 for calling the _BaseEncoder obj's underlying member method code with example usage: obj._more_tags() and returns: dict