text: """
  .. include:: ../readme.md
  """
  # Python `imodels` package for interpretable models compatible with scikit-learn.
  # Github repo available [here](https://github.com/csinva/imodels)
  
  # from .tree.iterative_random_forest.iterative_random_forest import IRFClassifier
  # from .tree.optimal_classification_tree import OptimalTreeModel
  from .tree.cart_wrapper import GreedyTreeClassifier, GreedyTreeRegressor
  from .tree.gosdt.pygosdt import OptimalTreeClassifier
  from .tree.c45_tree.c45_tree import C45TreeClassifier
  from .tree.saps import SaplingSumRegressor, SaplingSumClassifier
  from .tree.shrunk_tree import ShrunkTreeRegressor, ShrunkTreeClassifier, ShrunkTreeRegressorCV, ShrunkTreeClassifierCV
  from .algebraic.slim import SLIMRegressor, SLIMClassifier
  from .discretization.discretizer import RFDiscretizer, BasicDiscretizer
  from .discretization.mdlp import MDLPDiscretizer, BRLDiscretizer
  from .rule_list.bayesian_rule_list.bayesian_rule_list import BayesianRuleListClassifier
  from .rule_list.corels_wrapper import OptimalRuleListClassifier
  from .rule_list.greedy_rule_list import GreedyRuleListClassifier
  from .rule_list.one_r import OneRClassifier
  from .rule_set import boosted_rules
  from .rule_set.boosted_rules import *
  from .rule_set.boosted_rules import BoostedRulesClassifier
  from .rule_set.brs import BayesianRuleSetClassifier
  from .rule_set.fplasso import FPLassoRegressor, FPLassoClassifier
  from .rule_set.fpskope import FPSkopeClassifier
  from .rule_set.rule_fit import RuleFitRegressor, RuleFitClassifier
  from .rule_set.skope_rules import SkopeRulesClassifier
  from .rule_set.slipper import SlipperClassifier
  
  from .util.explain_errors import explain_classification_errors
  
  CLASSIFIERS = [BayesianRuleListClassifier, GreedyRuleListClassifier, SkopeRulesClassifier,
                 BoostedRulesClassifier, SLIMClassifier, SlipperClassifier, BayesianRuleSetClassifier,
                 C45TreeClassifier, OptimalTreeClassifier, OptimalRuleListClassifier, OneRClassifier,
                 SlipperClassifier,
                 SaplingSumClassifier]  # , IRFClassifier
  REGRESSORS = [RuleFitRegressor, SLIMRegressor, GreedyTreeClassifier, SaplingSumRegressor]
  DISCRETIZERS = [RFDiscretizer, BasicDiscretizer, MDLPDiscretizer, BRLDiscretizer]
  