code: def predict(self, X, *args, **kwargs):
      return self.estimator_.predict(X, *args, **kwargs)
  
imports: from copy import deepcopy
  from typing import List
  import numpy
  from sklearn import datasets
  from sklearn.base import BaseEstimator
  from sklearn.model_selection import cross_val_score, train_test_split
  from sklearn.tree import DecisionTreeClassifier
  from imodels.tree.hierarchical_shrinkage import HSTreeRegressor, HSTreeClassifier
  from imodels.util.tree import compute_tree_complexity
label_desc: Use image node_id 6 for calling the DecisionTreeCCPClassifier obj's underlying member method code with example usage: obj.predict(X) and returns: self