class_docstr: An easy-interpretable classifier optimizing simple logical rules.
  
  Params
  ------
  estimator: object with fit and predict methods
      Defaults to DecisionTreeClassifier with AdaBoost.
      For SLIPPER, should pass estimator=imodels.SlipperBaseEstimator
code: def __init__(
      self,
      estimator=DecisionTreeClassifier(max_depth=1),
      *,
      n_estimators=15,
      learning_rate=1.0,
      random_state=None,
  ):
      try:  # sklearn version >= 1.2
          super().__init__(
              estimator=estimator,
              n_estimators=n_estimators,
              learning_rate=learning_rate,
              random_state=random_state,
          )
      except:  # sklearn version < 1.2
          super().__init__(
              base_estimator=estimator,
              n_estimators=n_estimators,
              learning_rate=learning_rate,
              random_state=random_state,
          )
          self.estimator = estimator
  
imports: from copy import deepcopy
  from functools import partial
  import numpy
  import sklearn
  from sklearn.ensemble import AdaBoostClassifier, AdaBoostRegressor
  from sklearn.base import BaseEstimator, ClassifierMixin, MetaEstimatorMixin
  from sklearn.model_selection import train_test_split
  from sklearn.preprocessing import normalize
  from sklearn.tree import DecisionTreeClassifier, DecisionTreeRegressor
  from sklearn.utils.multiclass import check_classification_targets, unique_labels
  from sklearn.utils.validation import check_X_y, check_array, check_is_fitted
  from imodels.rule_set.rule_set import RuleSet
  from imodels.rule_set.slipper_util import SlipperBaseEstimator
  from imodels.util.arguments import check_fit_arguments
  from imodels.util.convert import tree_to_code, tree_to_rules, dict_to_rule
  from imodels.util.rule import Rule, get_feature_dict, replace_feature_name
label_desc: Use image node_id 1 to create a new BoostedRulesClassifier object from inherited base classes: AdaBoostClassifier with example: obj = BoostedRulesClassifier(estimator)