causalml
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About CausalML
Intro to Causal Machine Learning
Installation
API Quickstart
Examples
Methodology
Interpretable Causal ML
Validation
causalml package
References
Changelog
causalml
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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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K
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L
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M
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N
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O
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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)
arr_evaluate_Chi() (causalml.inference.tree.UpliftTreeClassifier static method)
arr_evaluate_CIT() (causalml.inference.tree.UpliftTreeClassifier static method)
arr_evaluate_CTS() (causalml.inference.tree.UpliftTreeClassifier static method)
arr_evaluate_DDP() (causalml.inference.tree.UpliftTreeClassifier static method)
arr_evaluate_ED() (causalml.inference.tree.UpliftTreeClassifier static method)
arr_evaluate_IDDP() (causalml.inference.tree.UpliftTreeClassifier static method)
arr_evaluate_IT() (causalml.inference.tree.UpliftTreeClassifier static method)
arr_evaluate_KL() (causalml.inference.tree.UpliftTreeClassifier static method)
arr_normI() (causalml.inference.tree.UpliftTreeClassifier method)
auuc_score() (in module causalml.metrics)
B
bar_plot_summary() (in module causalml.dataset)
bar_plot_summary_holdout() (in module causalml.dataset)
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.tree.CausalTreeRegressor method)
(causalml.inference.tree.UpliftRandomForestClassifier static method)
bootstrap_pool() (causalml.inference.tree.CausalTreeRegressor method)
C
calculate_error() (causalml.inference.tree.CausalRandomForestRegressor method)
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.feature_selection
module
causalml.features
module
causalml.inference.iv
module
causalml.inference.meta
module
causalml.inference.nn
module
causalml.inference.tree
module
causalml.match
module
causalml.metrics
module
causalml.optimize
module
causalml.propensity
module
CausalRandomForestRegressor (class in causalml.inference.tree)
causalsens() (causalml.metrics.SensitivitySelectionBias method)
CausalTreeRegressor (class in causalml.inference.tree)
CEVAE (class in causalml.inference.nn)
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)
divideSet_len() (causalml.inference.tree.UpliftTreeClassifier static method)
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)
evaluate_Chi() (causalml.inference.tree.UpliftTreeClassifier static method)
evaluate_CIT() (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_IDDP() (causalml.inference.tree.UpliftTreeClassifier static method)
evaluate_IT() (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)
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.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.nn.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.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.nn.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_importance() (causalml.feature_selection.FilterSelect method)
(causalml.inference.iv.BaseDRIVLearner method)
get_pns_bounds() (in module causalml.optimize)
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_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)
group_uniqueCounts() (causalml.inference.tree.UpliftTreeClassifier method)
growDecisionTreeFrom() (causalml.inference.tree.UpliftTreeClassifier method)
H
honestApproach() (causalml.inference.tree.UpliftTreeClassifier method)
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_data() (in module causalml.features)
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)
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)
modifyEstimation() (causalml.inference.tree.UpliftTreeClassifier method)
module
causalml
causalml.dataset
causalml.feature_selection
causalml.features
causalml.inference.iv
causalml.inference.meta
causalml.inference.nn
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)
O
OneHotEncoder (class in causalml.features)
P
partial_rsqs_confounding() (causalml.metrics.SensitivitySelectionBias static method)
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)
PolicyLearner (class in causalml.optimize)
predict() (causalml.inference.iv.BaseDRIVLearner method)
(causalml.inference.iv.IVRegressor 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.nn.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)
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)
transform() (causalml.features.LabelEncoder method)
(causalml.features.OneHotEncoder method)
tree_node_summary() (causalml.inference.tree.UpliftTreeClassifier method)
tree_node_summary_from_counts() (causalml.inference.tree.UpliftTreeClassifier static method)
tree_node_summary_to_arr() (causalml.inference.tree.UpliftTreeClassifier static 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
XGBDRIVRegressor (class in causalml.inference.iv)
XGBDRRegressor (class in causalml.inference.meta)
XGBRRegressor (class in causalml.inference.meta)
XGBTRegressor (class in causalml.inference.meta)
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