docstr: TaoRegressor and TaoClassifier override this method
  to alter the prediction task. When using this class directly,
  it is equivalent to SuperCARTRegressor
docstr_tok: ["TaoRegressor","and","TaoClassifier","override","this","method","to","alter","the","prediction","task",".","When","using","this","class","directly",",","it","is","equivalent","to","SuperCARTRegressor"]
code: def _init_prediction_task(self):
      """
      TaoRegressor and TaoClassifier override this method
      to alter the prediction task. When using this class directly,
      it is equivalent to SuperCARTRegressor
      """
      self.prediction_task = "classification"
  
imports: import random
  from copy import deepcopy
  from queue import deque
  import numpy
  from mlxtend.classifier import LogisticRegression
  from sklearn import datasets
  from sklearn.base import BaseEstimator, RegressorMixin, ClassifierMixin
  from sklearn.linear_model import LinearRegression
  from sklearn.metrics import get_scorer
  from sklearn.model_selection import train_test_split
  from sklearn.tree import DecisionTreeClassifier, DecisionTreeRegressor, export_text
  from sklearn.utils import check_X_y
  from imodels.util.arguments import check_fit_arguments
label_desc: Use image node_id 2 for calling the TaoTree obj's underlying member method code with example usage: obj._init_prediction_task() without return types