Index A | B | C | D | E | F | G | I | K | L | M | N | O | P | Q | R | S | T | U | X A ape() (in module causalml.metrics) ate_error() (in module causalml.metrics) auuc_score() (in module causalml.metrics) B bar_plot_summary() (in module causalml.dataset) bar_plot_summary_holdout() (in module causalml.dataset) BaseDRClassifier (class in causalml.inference.meta) BaseDRIVLearner (class in causalml.inference.iv) BaseDRIVRegressor (class in causalml.inference.iv) BaseDRLearner (class in causalml.inference.meta) BaseDRRegressor (class in causalml.inference.meta) BaseRClassifier (class in causalml.inference.meta) BaseRLearner (class in causalml.inference.meta) BaseRRegressor (class in causalml.inference.meta) BaseSClassifier (class in causalml.inference.meta) BaseSLearner (class in causalml.inference.meta) BaseSRegressor (class in causalml.inference.meta) BaseTClassifier (class in causalml.inference.meta) BaseTLearner (class in causalml.inference.meta) BaseTRegressor (class in causalml.inference.meta) BaseXClassifier (class in causalml.inference.meta) BaseXLearner (class in causalml.inference.meta) BaseXRegressor (class in causalml.inference.meta) bootstrap() (causalml.inference.iv.BaseDRIVLearner method) (causalml.inference.meta.BaseDRLearner method) (causalml.inference.tree.CausalTreeRegressor method) bootstrap_pool() (causalml.inference.tree.CausalTreeRegressor method) C calculate_error() (causalml.inference.tree.CausalRandomForestRegressor method) caliper (causalml.match.NearestNeighborMatch attribute) cat_continuous() (in module causalml.inference.tree) cat_group() (in module causalml.inference.tree) cat_transform() (in module causalml.inference.tree) causalml module causalml.dataset module causalml.feature_selection module causalml.features module causalml.inference.iv module causalml.inference.jax module causalml.inference.meta module causalml.inference.tf module causalml.inference.torch module causalml.inference.tree module causalml.match module causalml.metrics module causalml.optimize module causalml.propensity module CausalMLVersionMismatchWarning CausalRandomForestRegressor (class in causalml.inference.tree) causalsens() (causalml.metrics.SensitivitySelectionBias method) CausalTreeRegressor (class in causalml.inference.tree) CEVAE (class in causalml.inference.jax) (class in causalml.inference.torch) check_table_one() (causalml.match.MatchOptimizer method) classification_metrics() (in module causalml.metrics) clear_data_dir() (in module causalml.dataset) compute_dr_pseudo_outcomes() (in module causalml.metrics) compute_propensity_score() (in module causalml.propensity) compute_r_residuals() (in module causalml.propensity) CounterfactualUnitSelector (class in causalml.optimize) CounterfactualValueEstimator (class in causalml.optimize) create_table_one() (in module causalml.match) cv_fold_index() (in module causalml.inference.tree) D distr_plot_single_sim() (in module causalml.dataset) dr_score() (in module causalml.metrics) DragonNet (class in causalml.inference.jax) (class in causalml.inference.tf) E ElasticNetPropensityModel (class in causalml.propensity) estimate_ate() (causalml.inference.iv.BaseDRIVLearner method) (causalml.inference.meta.BaseDRLearner method) (causalml.inference.meta.BaseRLearner method) (causalml.inference.meta.BaseSLearner method) (causalml.inference.meta.BaseTLearner method) (causalml.inference.meta.BaseXLearner method) (causalml.inference.meta.LRSRegressor method) (causalml.inference.meta.TMLELearner method) (causalml.inference.tree.CausalTreeRegressor method) F feature_importances_ (causalml.inference.tree.UpliftTreeClassifier property) fetch_ihdp() (in module causalml.dataset) fetch_lalonde() (in module causalml.dataset) fetch_twins() (in module causalml.dataset) fill() (causalml.inference.tree.UpliftTreeClassifier method) filter_D() (causalml.feature_selection.FilterSelect method) filter_F() (causalml.feature_selection.FilterSelect method) filter_LR() (causalml.feature_selection.FilterSelect method) FilterSelect (class in causalml.feature_selection) fit() (causalml.features.LabelEncoder method) (causalml.features.OneHotEncoder method) (causalml.inference.iv.BaseDRIVLearner method) (causalml.inference.iv.IVRegressor method) (causalml.inference.jax.CEVAE method) (causalml.inference.jax.DragonNet method) (causalml.inference.meta.BaseDRLearner method) (causalml.inference.meta.BaseRClassifier method) (causalml.inference.meta.BaseRLearner method) (causalml.inference.meta.BaseSLearner method) (causalml.inference.meta.BaseTLearner method) (causalml.inference.meta.BaseXClassifier method) (causalml.inference.meta.BaseXLearner method) (causalml.inference.meta.XGBRClassifier method) (causalml.inference.meta.XGBRRegressor method) (causalml.inference.meta.XGBTClassifier method) (causalml.inference.tf.DragonNet method) (causalml.inference.torch.CEVAE method) (causalml.inference.tree.CausalRandomForestRegressor method) (causalml.inference.tree.CausalTreeRegressor method) (causalml.inference.tree.UpliftRandomForestClassifier method) (causalml.inference.tree.UpliftTreeClassifier method) (causalml.optimize.CounterfactualUnitSelector method) (causalml.optimize.PolicyLearner method) (causalml.propensity.GradientBoostedPropensityModel method) (causalml.propensity.PropensityModel method) fit_predict() (causalml.inference.iv.BaseDRIVLearner method) (causalml.inference.jax.CEVAE method) (causalml.inference.jax.DragonNet method) (causalml.inference.meta.BaseDRLearner method) (causalml.inference.meta.BaseRLearner method) (causalml.inference.meta.BaseSLearner method) (causalml.inference.meta.BaseTLearner method) (causalml.inference.meta.BaseXLearner method) (causalml.inference.tf.DragonNet method) (causalml.inference.torch.CEVAE method) (causalml.inference.tree.CausalTreeRegressor method) (causalml.propensity.PropensityModel method) fit_transform() (causalml.features.LabelEncoder method) (causalml.features.OneHotEncoder method) G get_actual_value() (in module causalml.optimize) get_ate_ci() (causalml.metrics.Sensitivity method) get_class_object() (causalml.metrics.Sensitivity static method) get_cumgain() (in module causalml.metrics) get_cumlift() (in module causalml.metrics) get_data_home() (in module causalml.dataset) get_importance() (causalml.feature_selection.FilterSelect method) (causalml.inference.iv.BaseDRIVLearner method) get_pns_bounds() (in module causalml.optimize) get_potential_outcome_predictions() (causalml.metrics.Sensitivity method) get_prediction() (causalml.metrics.Sensitivity method) get_qini() (in module causalml.metrics) get_shap_values() (causalml.inference.iv.BaseDRIVLearner method) get_synthetic_auuc() (in module causalml.dataset) get_synthetic_preds() (in module causalml.dataset) get_synthetic_preds_holdout() (in module causalml.dataset) get_synthetic_summary() (in module causalml.dataset) get_synthetic_summary_holdout() (in module causalml.dataset) get_tmlegain() (in module causalml.metrics) get_tmleqini() (in module causalml.metrics) get_toc() (in module causalml.metrics) get_treatment_costs() (in module causalml.optimize) get_tree_leaves_mask() (in module causalml.inference.tree) get_uplift_best() (in module causalml.optimize) gini() (in module causalml.metrics) GradientBoostedPropensityModel (class in causalml.propensity) I IVRegressor (class in causalml.inference.iv) K kpi_transform() (in module causalml.inference.tree) L label_encoders (causalml.features.LabelEncoder attribute) (causalml.features.OneHotEncoder attribute) label_maxes (causalml.features.LabelEncoder attribute) LabelEncoder (class in causalml.features) load() (causalml.inference.jax.CEVAE method) (causalml.inference.jax.DragonNet method) (causalml.inference.tf.DragonNet method) load_data() (in module causalml.features) load_learner() (in module causalml.inference.meta) LogisticRegressionPropensityModel (class in causalml.propensity) logloss() (in module causalml.metrics) LRSRegressor (class in causalml.inference.meta) M make_dragonnet() (causalml.inference.tf.DragonNet method) make_uplift_classification() (in module causalml.dataset) make_uplift_classification_logistic() (in module causalml.dataset) mape() (in module causalml.metrics) match() (causalml.match.NearestNeighborMatch method) match_and_check() (causalml.match.MatchOptimizer method) match_by_group() (causalml.match.NearestNeighborMatch method) MatchOptimizer (class in causalml.match) min_obs (causalml.features.LabelEncoder attribute) (causalml.features.OneHotEncoder attribute) MLPTRegressor (class in causalml.inference.meta) module causalml causalml.dataset causalml.feature_selection causalml.features causalml.inference.iv causalml.inference.jax causalml.inference.meta causalml.inference.tf causalml.inference.torch causalml.inference.tree causalml.match causalml.metrics causalml.optimize causalml.propensity N n_jobs (causalml.match.NearestNeighborMatch attribute) NearestNeighborMatch (class in causalml.match) O OneHotEncoder (class in causalml.features) P partial_rsqs_confounding() (causalml.metrics.SensitivitySelectionBias static method) pehe() (in module causalml.metrics) plot() (causalml.metrics.SensitivitySelectionBias static method) (in module causalml.metrics) plot_dist_tree_leaves_values() (in module causalml.inference.tree) plot_gain() (in module causalml.metrics) plot_importance() (causalml.inference.iv.BaseDRIVLearner method) plot_lift() (in module causalml.metrics) plot_qini() (in module causalml.metrics) plot_shap_dependence() (causalml.inference.iv.BaseDRIVLearner method) plot_shap_values() (causalml.inference.iv.BaseDRIVLearner method) plot_tmlegain() (in module causalml.metrics) plot_tmleqini() (in module causalml.metrics) plot_toc() (in module causalml.metrics) plug_in_t_score() (in module causalml.metrics) policy_risk() (in module causalml.metrics) PolicyLearner (class in causalml.optimize) predict() (causalml.inference.iv.BaseDRIVLearner method) (causalml.inference.iv.IVRegressor method) (causalml.inference.jax.CEVAE method) (causalml.inference.jax.DragonNet method) (causalml.inference.meta.BaseDRClassifier method) (causalml.inference.meta.BaseDRLearner method) (causalml.inference.meta.BaseRClassifier method) (causalml.inference.meta.BaseRLearner method) (causalml.inference.meta.BaseSClassifier method) (causalml.inference.meta.BaseSLearner method) (causalml.inference.meta.BaseTClassifier method) (causalml.inference.meta.BaseTLearner method) (causalml.inference.meta.BaseXClassifier method) (causalml.inference.meta.BaseXLearner method) (causalml.inference.tf.DragonNet method) (causalml.inference.torch.CEVAE method) (causalml.inference.tree.CausalRandomForestRegressor method) (causalml.inference.tree.CausalTreeRegressor method) (causalml.inference.tree.UpliftTreeClassifier method) (causalml.optimize.CounterfactualUnitSelector method) (causalml.optimize.PolicyLearner method) (causalml.propensity.PropensityModel method) predict_best() (causalml.optimize.CounterfactualValueEstimator method) predict_counterfactuals() (causalml.optimize.CounterfactualValueEstimator method) predict_proba() (causalml.optimize.PolicyLearner method) predict_propensity() (causalml.inference.jax.DragonNet method) (causalml.inference.tf.DragonNet method) predict_tau() (causalml.inference.jax.DragonNet method) (causalml.inference.tf.DragonNet method) PropensityModel (class in causalml.propensity) Q qini_score() (in module causalml.metrics) R random_state (causalml.match.NearestNeighborMatch attribute) rate_score() (in module causalml.metrics) ratio (causalml.match.NearestNeighborMatch attribute) regression_metrics() (in module causalml.metrics) replace (causalml.match.NearestNeighborMatch attribute) rlearner_score() (in module causalml.metrics) rmse() (in module causalml.metrics) S save() (causalml.inference.jax.CEVAE method) (causalml.inference.jax.DragonNet method) (causalml.inference.tf.DragonNet method) scatter_plot_single_sim() (in module causalml.dataset) scatter_plot_summary() (in module causalml.dataset) scatter_plot_summary_holdout() (in module causalml.dataset) search_best_match() (causalml.match.MatchOptimizer method) Sensitivity (class in causalml.metrics) sensitivity_analysis() (causalml.metrics.Sensitivity method) sensitivity_estimate() (causalml.metrics.Sensitivity method) (causalml.metrics.SensitivityPlaceboTreatment method) (causalml.metrics.SensitivityRandomCause method) (causalml.metrics.SensitivityRandomReplace method) (causalml.metrics.SensitivitySubsetData method) SensitivityPlaceboTreatment (class in causalml.metrics) SensitivityRandomCause (class in causalml.metrics) SensitivityRandomReplace (class in causalml.metrics) SensitivitySelectionBias (class in causalml.metrics) SensitivitySubsetData (class in causalml.metrics) set_fit_request() (causalml.inference.meta.BaseDRClassifier method) (causalml.inference.meta.BaseDRLearner method) (causalml.inference.meta.BaseDRRegressor method) (causalml.inference.meta.BaseRClassifier method) (causalml.inference.meta.BaseRLearner method) (causalml.inference.meta.BaseRRegressor method) (causalml.inference.meta.BaseSClassifier method) (causalml.inference.meta.BaseSLearner method) (causalml.inference.meta.BaseSRegressor method) (causalml.inference.meta.BaseTClassifier method) (causalml.inference.meta.BaseTLearner method) (causalml.inference.meta.BaseTRegressor method) (causalml.inference.meta.BaseXClassifier method) (causalml.inference.meta.BaseXLearner method) (causalml.inference.meta.BaseXRegressor method) (causalml.inference.meta.LRSRegressor method) (causalml.inference.meta.MLPTRegressor method) (causalml.inference.meta.XGBDRRegressor method) (causalml.inference.meta.XGBRClassifier method) (causalml.inference.meta.XGBRRegressor method) (causalml.inference.meta.XGBTClassifier method) (causalml.inference.meta.XGBTRegressor method) (causalml.inference.tree.CausalRandomForestRegressor method) (causalml.inference.tree.CausalTreeRegressor method) (causalml.inference.tree.UpliftRandomForestClassifier method) (causalml.inference.tree.UpliftTreeClassifier method) set_predict_request() (causalml.inference.meta.BaseDRClassifier method) (causalml.inference.meta.BaseDRLearner method) (causalml.inference.meta.BaseDRRegressor method) (causalml.inference.meta.BaseRClassifier method) (causalml.inference.meta.BaseRLearner method) (causalml.inference.meta.BaseRRegressor method) (causalml.inference.meta.BaseSClassifier method) (causalml.inference.meta.BaseSLearner method) (causalml.inference.meta.BaseSRegressor method) (causalml.inference.meta.BaseTClassifier method) (causalml.inference.meta.BaseTLearner method) (causalml.inference.meta.BaseTRegressor method) (causalml.inference.meta.BaseXClassifier method) (causalml.inference.meta.BaseXLearner method) (causalml.inference.meta.BaseXRegressor method) (causalml.inference.meta.LRSRegressor method) (causalml.inference.meta.MLPTRegressor method) (causalml.inference.meta.XGBDRRegressor method) (causalml.inference.meta.XGBRClassifier method) (causalml.inference.meta.XGBRRegressor method) (causalml.inference.meta.XGBTClassifier method) (causalml.inference.meta.XGBTRegressor method) (causalml.inference.tree.CausalRandomForestRegressor method) (causalml.inference.tree.CausalTreeRegressor method) (causalml.inference.tree.UpliftRandomForestClassifier method) (causalml.inference.tree.UpliftTreeClassifier method) set_score_request() (causalml.inference.tree.CausalRandomForestRegressor method) (causalml.inference.tree.CausalTreeRegressor method) (causalml.inference.tree.UpliftRandomForestClassifier method) shuffle (causalml.match.NearestNeighborMatch attribute) simulate_easy_propensity_difficult_baseline() (in module causalml.dataset) simulate_hidden_confounder() (in module causalml.dataset) simulate_nuisance_and_easy_treatment() (in module causalml.dataset) simulate_randomized_trial() (in module causalml.dataset) simulate_unrelated_treatment_control() (in module causalml.dataset) single_match() (causalml.match.MatchOptimizer method) smape() (in module causalml.metrics) smd() (in module causalml.match) summary() (causalml.metrics.Sensitivity method) (causalml.metrics.SensitivitySelectionBias method) synthetic_data() (in module causalml.dataset) T TMLELearner (class in causalml.inference.meta) transform() (causalml.features.LabelEncoder method) (causalml.features.OneHotEncoder method) treatment_to_control (causalml.match.NearestNeighborMatch attribute) U uplift_forest (causalml.inference.tree.UpliftRandomForestClassifier property) uplift_tree_plot() (in module causalml.inference.tree) uplift_tree_string() (in module causalml.inference.tree) UpliftRandomForestClassifier (class in causalml.inference.tree) UpliftTreeClassifier (class in causalml.inference.tree) X XGBDRIVRegressor (class in causalml.inference.iv) XGBDRRegressor (class in causalml.inference.meta) XGBRClassifier (class in causalml.inference.meta) XGBRRegressor (class in causalml.inference.meta) XGBTClassifier (class in causalml.inference.meta) XGBTRegressor (class in causalml.inference.meta)
