YLearn
latest
User Guide
Causal Model: The Representation of Causal Structures
Estimator Model: Estimating the Causal Effects
Causal Discovery: Exploring the Causal Structures in Data
Policy: Selecting the Best Option
Interpreter: Explaining the Causal Effects
Why: An All-in-One Causal Learning API
References
YLearn
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Index
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A
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B
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C
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D
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E
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F
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G
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H
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I
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N
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Y
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_comp_transormer() (ylearn.estimator_model.meta_learner.SLearner method)
(ylearn.estimator_model.meta_learner.TLearner method)
(ylearn.estimator_model.meta_learner.XLearner method)
A
add_edge() (ylearn.causal_model.graph.CausalGraph method)
add_edges_from() (ylearn.causal_model.graph.CausalGraph method)
add_nodes() (ylearn.causal_model.graph.CausalGraph method)
adjustment_ (ylearn._why.Why attribute)
ancestors() (ylearn.causal_model.graph.CausalGraph method)
apply() (ylearn.estimator_model.causal_tree.CausalTree method)
(ylearn.estimator_model.CausalForest method)
(ylearn.estimator_model.CTCausalForest method)
(ylearn.estimator_model.GRForest method)
(ylearn.policy.policy_model.PolicyTree method)
B
build_sub_graph() (ylearn.causal_model.graph.CausalGraph method)
C
c_components (ylearn.causal_model.graph.CausalGraph property)
causal_effect() (ylearn._why.Why method)
causal_graph() (ylearn._why.Why method)
comp_transormer() (ylearn.estimator_model.approximation_bound.ApproxBound method)
(ylearn.estimator_model.deepiv.DeepIV method)
(ylearn.estimator_model.double_ml.DoubleML method)
(ylearn.estimator_model.doubly_robust.DoublyRobust method)
(ylearn.estimator_model.effect_score.RLoss method)
covariate_ (ylearn._why.Why attribute)
D
decision_path() (ylearn.estimator_model.causal_tree.CausalTree method)
(ylearn.policy.policy_model.PolicyTree method)
descendents() (ylearn.causal_model.graph.CausalGraph method)
E
effect_nji() (ylearn.estimator_model.deepiv.DeepIV method)
(ylearn.estimator_model.double_ml.DoubleML method)
(ylearn.estimator_model.doubly_robust.DoublyRobust method)
(ylearn.estimator_model.effect_score.RLoss method)
(ylearn.estimator_model.iv.NP2SLS method)
(ylearn.estimator_model.meta_learner.SLearner method)
(ylearn.estimator_model.meta_learner.TLearner method)
(ylearn.estimator_model.meta_learner.XLearner method)
estimate() (ylearn.causal_model.CausalModel method)
(ylearn.estimator_model.approximation_bound.ApproxBound method)
(ylearn.estimator_model.causal_tree.CausalTree method)
(ylearn.estimator_model.CausalForest method)
(ylearn.estimator_model.CTCausalForest method)
(ylearn.estimator_model.deepiv.DeepIV method)
(ylearn.estimator_model.double_ml.DoubleML method)
(ylearn.estimator_model.doubly_robust.DoublyRobust method)
(ylearn.estimator_model.GRForest method)
(ylearn.estimator_model.iv.NP2SLS method)
(ylearn.estimator_model.meta_learner.SLearner method)
(ylearn.estimator_model.meta_learner.TLearner method)
(ylearn.estimator_model.meta_learner.XLearner method)
estimators_ (ylearn._why.Why attribute)
explicit_unob_var_dag (ylearn.causal_model.graph.CausalGraph property)
F
feature_importance (ylearn.estimator_model.causal_tree.CausalTree property)
(ylearn.estimator_model.CausalForest property)
(ylearn.estimator_model.CTCausalForest property)
(ylearn.estimator_model.GRForest property)
(ylearn.policy.policy_model.PolicyTree property)
feature_names_in_ (ylearn._why.Why attribute)
fit() (ylearn._why.Why method)
(ylearn.effect_interpreter.ce_interpreter.CEInterpreter method)
(ylearn.estimator_model.approximation_bound.ApproxBound method)
(ylearn.estimator_model.causal_tree.CausalTree method)
(ylearn.estimator_model.CausalForest method)
(ylearn.estimator_model.CTCausalForest method)
(ylearn.estimator_model.deepiv.DeepIV method)
(ylearn.estimator_model.double_ml.DoubleML method)
(ylearn.estimator_model.doubly_robust.DoublyRobust method)
(ylearn.estimator_model.effect_score.RLoss method)
(ylearn.estimator_model.GRForest method)
(ylearn.estimator_model.iv.NP2SLS method)
(ylearn.estimator_model.meta_learner.SLearner method)
(ylearn.estimator_model.meta_learner.TLearner method)
(ylearn.estimator_model.meta_learner.XLearner method)
(ylearn.interpreter.policy_interpreter.PolicyInterpreter method)
(ylearn.policy.policy_model.PolicyTree method)
G
get_backdoor_path() (ylearn.causal_model.CausalModel method)
get_backdoor_set() (ylearn.causal_model.CausalModel method)
get_depth() (ylearn.policy.policy_model.PolicyTree method)
get_frontdoor_set() (ylearn.causal_model.CausalModel method)
get_iv() (ylearn.causal_model.CausalModel method)
get_n_leaves() (ylearn.policy.policy_model.PolicyTree method)
H
has_collider() (ylearn.causal_model.CausalModel method)
I
id() (ylearn.causal_model.CausalModel method)
identifier_ (ylearn._why.Why attribute)
identify() (ylearn._why.Why method)
(ylearn.causal_model.CausalModel method)
identify_estimate() (ylearn.causal_model.CausalModel method)
individual_causal_effect() (ylearn._why.Why method)
instrument_ (ylearn._why.Why attribute)
interpret() (ylearn.effect_interpreter.ce_interpreter.CEInterpreter method)
(ylearn.interpreter.policy_interpreter.PolicyInterpreter method)
is_connected_backdoor_path() (ylearn.causal_model.CausalModel method)
is_frontdoor_set() (ylearn.causal_model.CausalModel method)
is_valid_backdoor_set() (ylearn.causal_model.CausalModel method)
is_valid_iv() (ylearn.causal_model.CausalModel method)
N
n_features_ (ylearn.policy.policy_model.PolicyTree property)
O
observed_dag (ylearn.causal_model.graph.CausalGraph property)
outcome_ (ylearn._why.Why attribute)
P
parents() (ylearn.causal_model.graph.CausalGraph method)
parse() (ylearn.causal_model.prob.Prob method)
plot() (ylearn.effect_interpreter.ce_interpreter.CEInterpreter method)
(ylearn.interpreter.policy_interpreter.PolicyInterpreter method)
(ylearn.policy.policy_model.PolicyTree method)
plot_causal_graph() (ylearn._why.Why method)
plot_causal_tree() (ylearn.estimator_model.causal_tree.CausalTree method)
plot_policy_interpreter() (ylearn._why.Why method)
policy_interpreter() (ylearn._why.Why method)
predict_ind() (ylearn.policy.policy_model.PolicyTree method)
predict_opt_effect() (ylearn.policy.policy_model.PolicyTree method)
preprocessor_ (ylearn._why.Why attribute)
R
remove_edge() (ylearn.causal_model.graph.CausalGraph method)
remove_edges_from() (ylearn.causal_model.graph.CausalGraph method)
remove_incoming_edges() (ylearn.causal_model.graph.CausalGraph method)
remove_nodes() (ylearn.causal_model.graph.CausalGraph method)
remove_outgoing_edges() (ylearn.causal_model.graph.CausalGraph method)
S
score() (ylearn._why.Why method)
(ylearn.estimator_model.effect_score.RLoss method)
show_latex_expression() (ylearn.causal_model.prob.Prob method)
T
topo_order (ylearn.causal_model.graph.CausalGraph property)
treatment_ (ylearn._why.Why attribute)
U
uplift_model() (ylearn._why.Why method)
W
whatif() (ylearn._why.Why method)
Y
y_encoder_ (ylearn._why.Why attribute)
ylearn._why.Why (built-in class)
ylearn.causal_model.CausalModel (built-in class)
ylearn.causal_model.graph.CausalGraph (built-in class)
ylearn.causal_model.prob.Prob (built-in class)
ylearn.effect_interpreter.ce_interpreter.CEInterpreter (built-in class)
ylearn.estimator_model.approximation_bound.ApproxBound (built-in class)
ylearn.estimator_model.causal_tree.CausalTree (built-in class)
ylearn.estimator_model.CausalForest (built-in class)
ylearn.estimator_model.CTCausalForest (built-in class)
ylearn.estimator_model.deepiv.DeepIV (built-in class)
ylearn.estimator_model.double_ml.DoubleML (built-in class)
ylearn.estimator_model.doubly_robust.DoublyRobust (built-in class)
ylearn.estimator_model.effect_score.RLoss (built-in class)
ylearn.estimator_model.GRForest (built-in class)
ylearn.estimator_model.iv.NP2SLS (built-in class)
ylearn.estimator_model.meta_learner.SLearner (built-in class)
ylearn.estimator_model.meta_learner.TLearner (built-in class)
ylearn.estimator_model.meta_learner.XLearner (built-in class)
ylearn.interpreter.policy_interpreter.PolicyInterpreter (built-in class)
ylearn.policy.policy_model.PolicyTree (built-in class)
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