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- """
- .. include:: ../readme.md
- """
- # Python `imodels` package for interpretable models compatible with scikit-learn.
- # Github repo available [here](https://github.com/csinva/imodels)
- from .algebraic.slim import SLIMRegressor, SLIMClassifier
- from .algebraic.tree_gam import TreeGAMClassifier, TreeGAMRegressor
- from .algebraic.marginal_shrinkage_linear_model import (
- MarginalShrinkageLinearModelRegressor,
- )
- from .discretization.discretizer import RFDiscretizer, BasicDiscretizer
- from .discretization.mdlp import MDLPDiscretizer, BRLDiscretizer
- from .experimental.bartpy import BART
- 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 .tree.c45_tree.c45_tree import C45TreeClassifier
- from .tree.cart_ccp import (
- DecisionTreeCCPClassifier,
- DecisionTreeCCPRegressor,
- HSDecisionTreeCCPClassifierCV,
- HSDecisionTreeCCPRegressorCV,
- )
- # 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.figs import FIGSRegressor, FIGSClassifier, FIGSRegressorCV, FIGSClassifierCV
- from .tree.gosdt.pygosdt import OptimalTreeClassifier
- from .tree.gosdt.pygosdt_shrinkage import (
- HSOptimalTreeClassifier,
- HSOptimalTreeClassifierCV,
- )
- from .tree.hierarchical_shrinkage import (
- HSTreeRegressor,
- HSTreeClassifier,
- HSTreeRegressorCV,
- HSTreeClassifierCV,
- )
- from .tree.tao import TaoTreeClassifier, TaoTreeRegressor
- from .util.automl import AutoInterpretableClassifier, AutoInterpretableRegressor
- from .util.data_util import get_clean_dataset
- from .util.distillation import DistilledRegressor
- from .util.explain_errors import explain_classification_errors
- CLASSIFIERS = [
- BayesianRuleListClassifier,
- GreedyRuleListClassifier,
- SkopeRulesClassifier,
- BoostedRulesClassifier,
- SLIMClassifier,
- SlipperClassifier,
- BayesianRuleSetClassifier,
- C45TreeClassifier,
- OptimalTreeClassifier,
- OptimalRuleListClassifier,
- OneRClassifier,
- SlipperClassifier,
- RuleFitClassifier,
- TaoTreeClassifier,
- TreeGAMClassifier,
- FIGSClassifier,
- HSTreeClassifier,
- HSTreeClassifierCV,
- GreedyTreeClassifier,
- AutoInterpretableClassifier,
- ] # , IRFClassifier
- REGRESSORS = [
- RuleFitRegressor,
- SLIMRegressor,
- GreedyTreeRegressor,
- FIGSRegressor,
- TaoTreeRegressor,
- TreeGAMRegressor,
- HSTreeRegressor,
- HSTreeRegressorCV,
- BART,
- AutoInterpretableRegressor,
- ]
- ESTIMATORS = CLASSIFIERS + REGRESSORS
- DISCRETIZERS = [RFDiscretizer, BasicDiscretizer,
- MDLPDiscretizer, BRLDiscretizer]
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