class_docstr: Regression tree with shallow depth.
class_docstr_tok: ["Regression","tree","with","shallow","depth","."]
code: def _model(self):
      return self.sk_model_
  
imports: from ..api.base import ExplainerMixin, ExplanationMixin
  from ..utils._explanation import gen_name_from_class, gen_local_selector, gen_global_selector, gen_perf_dicts
  from sklearn.base import ClassifierMixin, RegressorMixin
  from sklearn.tree import DecisionTreeClassifier
  from sklearn.tree import DecisionTreeRegressor
  from sklearn.base import is_classifier
  from sklearn.utils.validation import check_is_fitted
  import numpy
  from abc import abstractmethod
  from sklearn.tree import _tree
  from copy import deepcopy
  from ..utils._clean_x import preclean_X
  from ..utils._clean_simple import clean_dimensions, typify_classification
  from ..utils._unify_data import unify_data
  import logging
label_desc: Use image node_id 2 for calling the RegressionTree obj's underlying member method code with example usage: obj._model() and returns: self