class_docstr: shared set-up checks and methods across outlier transformers
class_docstr_tok: ["shared","set-up","checks","and","methods","across","outlier","transformers"]
code: def _more_tags(self):
      tags_dict = _return_tags()
      tags_dict["variables"] = "numerical"
      return tags_dict
  
imports: from typing import List, Optional, Union
  import pandas
  from sklearn.base import BaseEstimator, TransformerMixin
  from sklearn.utils.validation import check_is_fitted
  from feature_engine._variable_handling.init_parameter_checks import _check_init_parameter_variables
  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 BaseOutlier obj's underlying member method code with example usage: obj._more_tags() and returns: tags_dict