class_docstr: Shared set-up procedures across numerical transformers, i.e.,
  variable transformers, discretisers, math combination.
class_docstr_tok: ["Shared","set-up","procedures","across","numerical","transformers",",","i.e.",",","variable","transformers",",","discretisers",",","math","combination","."]
code: def _more_tags(self):
      tags_dict = _return_tags()
      tags_dict["variables"] = "numerical"
      return tags_dict
  
file_path: feature_engine/feature_engine/_base_transformers/base_numerical.py
imports: import pandas
  from sklearn.base import BaseEstimator, TransformerMixin
  from sklearn.utils.validation import check_is_fitted
  from feature_engine._variable_handling.variable_type_selection import _find_or_check_numerical_variables
  from feature_engine.dataframe_checks import _check_contains_inf, _check_contains_na, _check_X_matches_training_df, check_X
  from feature_engine._base_transformers.mixins import GetFeatureNamesOutMixin
  from feature_engine.tags import _return_tags
label_desc: Use image node_id 3 for calling the BaseNumericalTransformer obj's underlying member method code with example usage: obj._more_tags() and returns: tags_dict