code: def _predict_single_proba(self, x):
      node = self.root
      while node.left or node.right:
          if x[node.feature_index] < node.threshold and node.left:
              node = node.left
          elif node.right:
              node = node.right
      return node.predicted_probs
  
imports: from sklearn.tree._tree import Tree
  from sklearn.tree import DecisionTreeClassifier, DecisionTreeRegressor
  from sklearn.base import ClassifierMixin, RegressorMixin
  from sklearn import __version__
  from collections import namedtuple
  import pandas
  import numpy
  from collections import namedtuple
  from sklearn import __version__
  from sklearn.base import ClassifierMixin, RegressorMixin
  from sklearn.tree import DecisionTreeClassifier, DecisionTreeRegressor
  from sklearn.tree._tree import Tree
  import imodels.util.tree
label_desc: Use image node_id 10 for calling the CustomDecisionTreeClassifier obj's underlying member method code with example usage: obj._predict_single_proba(x) and returns: node