Index

B

Base model

C

classes_ (metalearners.cross_fit_estimator.CrossFitEstimator attribute) clone() (metalearners.cross_fit_estimator.CrossFitEstimator method) compute_experiment_outputs() (in module metalearners.data_generation) Conditional Average Outcomes

Conditional Average Treatment Effect (CATE) constant_treatment_effect() (in module metalearners.outcome_functions) Covariates CrossFitEstimator (class in metalearners.cross_fit_estimator)

D

Double Machine Learning

DRLearner (class in metalearners) (class in metalearners.drlearner)

E

enable_overall (metalearners.cross_fit_estimator.CrossFitEstimator attribute) estimator_factory (metalearners.cross_fit_estimator.CrossFitEstimator attribute) estimator_params (metalearners.cross_fit_estimator.CrossFitEstimator attribute) evaluate() (metalearners.DRLearner method) (metalearners.drlearner.DRLearner method) (metalearners.metalearner.MetaLearner method) (metalearners.RLearner method) (metalearners.rlearner.RLearner method) (metalearners.SLearner method) (metalearners.slearner.SLearner method) (metalearners.TLearner method) (metalearners.tlearner.TLearner method) (metalearners.XLearner method) (metalearners.xlearner.XLearner method)

Explainer (class in metalearners.explainer) explainer() (metalearners.DRLearner method) (metalearners.drlearner.DRLearner method) (metalearners.metalearner.MetaLearner method) (metalearners.RLearner method) (metalearners.rlearner.RLearner method) (metalearners.SLearner method) (metalearners.slearner.SLearner method) (metalearners.TLearner method) (metalearners.tlearner.TLearner method) (metalearners.XLearner method) (metalearners.xlearner.XLearner method)

F

feature_importances() (metalearners.DRLearner method) (metalearners.drlearner.DRLearner method) (metalearners.explainer.Explainer method) (metalearners.metalearner.MetaLearner method) (metalearners.RLearner method) (metalearners.rlearner.RLearner method) (metalearners.SLearner method) (metalearners.slearner.SLearner method) (metalearners.TLearner method) (metalearners.tlearner.TLearner method) (metalearners.XLearner method) (metalearners.xlearner.XLearner method) fit() (metalearners.cross_fit_estimator.CrossFitEstimator method) (metalearners.DRLearner method) (metalearners.drlearner.DRLearner method) (metalearners.metalearner.MetaLearner method) (metalearners.RLearner method) (metalearners.rlearner.RLearner method) (metalearners.SLearner method) (metalearners.slearner.SLearner method) (metalearners.TLearner method) (metalearners.tlearner.TLearner method) (metalearners.XLearner method) (metalearners.xlearner.XLearner method)

fit_nuisance() (metalearners.DRLearner method) (metalearners.drlearner.DRLearner method) (metalearners.metalearner.MetaLearner method) (metalearners.RLearner method) (metalearners.rlearner.RLearner method) (metalearners.SLearner method) (metalearners.slearner.SLearner method) (metalearners.TLearner method) (metalearners.tlearner.TLearner method) (metalearners.XLearner method) (metalearners.xlearner.XLearner method) fit_treatment() (metalearners.DRLearner method) (metalearners.drlearner.DRLearner method) (metalearners.metalearner.MetaLearner method) (metalearners.RLearner method) (metalearners.rlearner.RLearner method) (metalearners.SLearner method) (metalearners.slearner.SLearner method) (metalearners.TLearner method) (metalearners.tlearner.TLearner method) (metalearners.XLearner method) (metalearners.xlearner.XLearner method) from_estimates() (metalearners.explainer.Explainer class method)

G

generate_categoricals() (in module metalearners.data_generation) generate_covariates() (in module metalearners.data_generation)

generate_numericals() (in module metalearners.data_generation) generate_treatment() (in module metalearners.data_generation)

H

Heterogeneous Treatment Effect (HTE)

I

insert_missing() (in module metalearners.data_generation)

L

linear_treatment_effect() (in module metalearners.outcome_functions)

M

MetaLearner (class in metalearners.metalearner) metalearner_factory() (in module metalearners.utils) metalearners module metalearners.cross_fit_estimator module metalearners.data_generation module metalearners.drlearner module metalearners.explainer module metalearners.metalearner module metalearners.outcome_functions module metalearners.rlearner module metalearners.slearner module

metalearners.tlearner module metalearners.utils module metalearners.xlearner module module metalearners metalearners.cross_fit_estimator metalearners.data_generation metalearners.drlearner metalearners.explainer metalearners.metalearner metalearners.outcome_functions metalearners.rlearner metalearners.slearner metalearners.tlearner metalearners.utils metalearners.xlearner

N

n_folds (metalearners.cross_fit_estimator.CrossFitEstimator attribute) no_treatment_effect() (in module metalearners.outcome_functions) Nuisance model nuisance_model_specifications() (metalearners.DRLearner class method) (metalearners.drlearner.DRLearner class method) (metalearners.metalearner.MetaLearner class method) (metalearners.RLearner class method) (metalearners.rlearner.RLearner class method) (metalearners.SLearner class method) (metalearners.slearner.SLearner class method) (metalearners.TLearner class method) (metalearners.tlearner.TLearner class method) (metalearners.XLearner class method) (metalearners.xlearner.XLearner class method)

O

Observational data

Outcome model

P

Potential outcomes predict() (metalearners.cross_fit_estimator.CrossFitEstimator method) (metalearners.DRLearner method) (metalearners.drlearner.DRLearner method) (metalearners.metalearner.MetaLearner method) (metalearners.RLearner method) (metalearners.rlearner.RLearner method) (metalearners.SLearner method) (metalearners.slearner.SLearner method) (metalearners.TLearner method) (metalearners.tlearner.TLearner method) (metalearners.XLearner method) (metalearners.xlearner.XLearner method) predict_conditional_average_outcomes() (metalearners.DRLearner method) (metalearners.drlearner.DRLearner method) (metalearners.SLearner method) (metalearners.slearner.SLearner method) (metalearners.TLearner method) (metalearners.tlearner.TLearner method) (metalearners.XLearner method) (metalearners.xlearner.XLearner method) predict_nuisance() (metalearners.DRLearner method) (metalearners.drlearner.DRLearner method) (metalearners.metalearner.MetaLearner method) (metalearners.RLearner method) (metalearners.rlearner.RLearner method) (metalearners.SLearner method) (metalearners.slearner.SLearner method) (metalearners.TLearner method) (metalearners.tlearner.TLearner method) (metalearners.XLearner method) (metalearners.xlearner.XLearner method)

predict_proba() (metalearners.cross_fit_estimator.CrossFitEstimator method) predict_treatment() (metalearners.DRLearner method) (metalearners.drlearner.DRLearner method) (metalearners.metalearner.MetaLearner method) (metalearners.RLearner method) (metalearners.rlearner.RLearner method) (metalearners.SLearner method) (metalearners.slearner.SLearner method) (metalearners.TLearner method) (metalearners.tlearner.TLearner method) (metalearners.XLearner method) (metalearners.xlearner.XLearner method) Propensity model Propensity score

R

r_loss() (in module metalearners.rlearner) random_state (metalearners.cross_fit_estimator.CrossFitEstimator attribute)

Randomized Control Trial (RCT) RLearner (class in metalearners) (class in metalearners.rlearner)

S

score() (metalearners.cross_fit_estimator.CrossFitEstimator method) set_params() (metalearners.cross_fit_estimator.CrossFitEstimator method) shap_values() (metalearners.DRLearner method) (metalearners.drlearner.DRLearner method) (metalearners.explainer.Explainer method) (metalearners.metalearner.MetaLearner method) (metalearners.RLearner method) (metalearners.rlearner.RLearner method) (metalearners.SLearner method) (metalearners.slearner.SLearner method) (metalearners.TLearner method) (metalearners.tlearner.TLearner method) (metalearners.XLearner method) (metalearners.xlearner.XLearner method)

simplify_output() (in module metalearners.utils) SLearner (class in metalearners) (class in metalearners.slearner)

T

TLearner (class in metalearners) (class in metalearners.tlearner) Treatment effect model treatment_model_specifications() (metalearners.DRLearner class method) (metalearners.drlearner.DRLearner class method) (metalearners.metalearner.MetaLearner class method) (metalearners.RLearner class method) (metalearners.rlearner.RLearner class method) (metalearners.SLearner class method) (metalearners.slearner.SLearner class method) (metalearners.TLearner class method) (metalearners.tlearner.TLearner class method) (metalearners.XLearner class method) (metalearners.xlearner.XLearner class method)

X

XLearner (class in metalearners) (class in metalearners.xlearner)