code: def fit(self, *args, **kwargs):
      X = kwargs["X"] if "X" in kwargs else args[0]
      y = kwargs["y"] if "y" in kwargs else args[1]
      if not hasattr(self.estimator_, "dom_"):
          self.estimator_.fit(X, y)
      self.impute_nodes(X, y)
      self.shrink_tree()
  
imports: import copy
  from copy import deepcopy
  from typing import List
  from xml.dom import minidom
  from xml.etree import ElementTree
  import numpy
  import pandas
  from sklearn.base import BaseEstimator, ClassifierMixin
  from sklearn.model_selection import cross_val_score
  from sklearn.utils.validation import check_array, check_is_fitted, check_X_y
  from imodels.util.arguments import check_fit_arguments
  from ..c45_tree.c45_utils import decision, is_numeric_feature, gain, gain_ratio, get_best_split, set_as_leaf_node
  from ...util.data_util import get_clean_dataset
label_desc: Use image node_id 6 for calling the HSC45TreeClassifier obj's underlying member method code with example usage: obj.fit() without return types