causalml
huigang/doc_update
About Causal ML
Methodology
Installation
Examples
Interpretable Causal ML
Validation
causalml package
References
Changelog
causalml
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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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K
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L
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M
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N
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P
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Q
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R
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S
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T
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U
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X
A
ape() (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)
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.tree.CausalTreeRegressor method)
(causalml.inference.tree.UpliftRandomForestClassifier static method)
C
calibrate() (in module causalml.propensity)
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.inference.meta
module
causalml.inference.tree
module
causalml.match
module
causalml.metrics
module
causalml.optimize
module
causalml.propensity
module
CausalMSE (class in causalml.inference.tree)
causalsens() (causalml.metrics.SensitivitySelectionBias method)
CausalTreeRegressor (class in causalml.inference.tree)
check_table_one() (causalml.match.MatchOptimizer method)
classification_metrics() (in module causalml.metrics)
classify() (causalml.inference.tree.UpliftTreeClassifier static method)
compute_propensity_score() (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
DecisionTree (class in causalml.inference.tree)
distr_plot_single_sim() (in module causalml.dataset)
divideSet() (causalml.inference.tree.UpliftTreeClassifier static method)
E
ElasticNetPropensityModel (class in causalml.propensity)
estimate_ate() (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)
evaluate_Chi() (causalml.inference.tree.UpliftTreeClassifier static method)
evaluate_CTS() (causalml.inference.tree.UpliftTreeClassifier static method)
evaluate_DDP() (causalml.inference.tree.UpliftTreeClassifier static method)
evaluate_ED() (causalml.inference.tree.UpliftTreeClassifier static method)
evaluate_KL() (causalml.inference.tree.UpliftTreeClassifier static method)
F
fill() (causalml.inference.tree.UpliftTreeClassifier method)
fillTree() (causalml.inference.tree.UpliftTreeClassifier method)
fit() (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.XGBRRegressor 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.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.tree.CausalTreeRegressor method)
(causalml.propensity.PropensityModel 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_prediction() (causalml.metrics.Sensitivity method)
get_qini() (in module causalml.metrics)
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_treatment_costs() (in module causalml.optimize)
get_uplift_best() (in module causalml.optimize)
gini() (in module causalml.metrics)
GradientBoostedPropensityModel (class in causalml.propensity)
group_uniqueCounts() (causalml.inference.tree.UpliftTreeClassifier method)
growDecisionTreeFrom() (causalml.inference.tree.UpliftTreeClassifier method)
K
kpi_transform() (in module causalml.inference.tree)
L
LogisticRegressionPropensityModel (class in causalml.propensity)
logloss() (in module causalml.metrics)
LRSRegressor (class in causalml.inference.meta)
M
mae() (in module causalml.metrics)
make_uplift_classification() (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)
MLPTRegressor (class in causalml.inference.meta)
module
causalml
causalml.dataset
causalml.inference.meta
causalml.inference.tree
causalml.match
causalml.metrics
causalml.optimize
causalml.propensity
N
n_jobs (causalml.match.NearestNeighborMatch attribute)
NearestNeighborMatch (class in causalml.match)
normI() (causalml.inference.tree.UpliftTreeClassifier method)
P
partial_rsqs_confounding() (causalml.metrics.SensitivitySelectionBias static method)
plot() (causalml.metrics.SensitivitySelectionBias static method)
(in module causalml.metrics)
plot_gain() (in module causalml.metrics)
plot_lift() (in module causalml.metrics)
plot_qini() (in module causalml.metrics)
plot_tmlegain() (in module causalml.metrics)
plot_tmleqini() (in module causalml.metrics)
PolicyLearner (class in causalml.optimize)
predict() (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.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)
predict_best() (causalml.optimize.CounterfactualValueEstimator method)
predict_counterfactuals() (causalml.optimize.CounterfactualValueEstimator method)
predict_proba() (causalml.optimize.PolicyLearner method)
PropensityModel (class in causalml.propensity)
prune() (causalml.inference.tree.UpliftTreeClassifier method)
pruneTree() (causalml.inference.tree.UpliftTreeClassifier method)
Q
qini_score() (in module causalml.metrics)
R
r2_score() (in module causalml.metrics)
random_state (causalml.match.NearestNeighborMatch attribute)
ratio (causalml.match.NearestNeighborMatch attribute)
regression_metrics() (in module causalml.metrics)
replace (causalml.match.NearestNeighborMatch attribute)
rmse() (in module causalml.metrics)
roc_auc_score() (in module causalml.metrics)
S
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)
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)
tree_node_summary() (causalml.inference.tree.UpliftTreeClassifier method)
U
uplift_classification_results() (causalml.inference.tree.UpliftTreeClassifier method)
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
XGBDRRegressor (class in causalml.inference.meta)
XGBRRegressor (class in causalml.inference.meta)
XGBTRegressor (class in causalml.inference.meta)
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