Perpetual
Contents:
Installation
Quickstart
API Reference
Causal ML
Calibration and Uncertainty Quantification
Drift Detection
Continual Learning
Explainability
Model IO & Export
Tutorials
Architecture
Parameters Tuning
Frequently Asked Questions
Perpetual
Index
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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F
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G
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I
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J
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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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S
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T
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U
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X
_
__init__() (perpetual.dml.DMLEstimator method)
(perpetual.fairness.FairClassifier method)
(perpetual.iv.BraidedBooster method)
(perpetual.meta_learners.DRLearner method)
(perpetual.meta_learners.SLearner method)
(perpetual.meta_learners.TLearner method)
(perpetual.meta_learners.XLearner method)
(perpetual.PerpetualBooster method)
(perpetual.policy.PolicyLearner method)
(perpetual.risk.PerpetualRiskEngine method)
(perpetual.sklearn.PerpetualClassifier method)
(perpetual.sklearn.PerpetualRanker method)
(perpetual.sklearn.PerpetualRegressor method)
(perpetual.uplift.UpliftBooster method)
A
auuc() (in module perpetual.causal_metrics)
B
base_score (perpetual.PerpetualBooster property)
BraidedBooster (class in perpetual.iv)
C
calculate_drift() (perpetual.PerpetualBooster method)
calculate_feature_importance() (perpetual.PerpetualBooster method)
calibrate() (perpetual.PerpetualBooster method)
calibrate_conformal() (perpetual.PerpetualBooster method)
cumulative_gain_curve() (in module perpetual.causal_metrics)
D
decision_function() (perpetual.fairness.FairClassifier method)
(perpetual.policy.PolicyLearner method)
DMLEstimator (class in perpetual.dml)
DRLearner (class in perpetual.meta_learners)
F
FairClassifier (class in perpetual.fairness)
feature_importances_ (perpetual.fairness.FairClassifier attribute)
(perpetual.meta_learners.DRLearner property)
(perpetual.meta_learners.SLearner property)
(perpetual.meta_learners.TLearner property)
(perpetual.meta_learners.XLearner property)
(perpetual.PerpetualBooster property)
(perpetual.policy.PolicyLearner attribute)
fit() (perpetual.dml.DMLEstimator method)
(perpetual.fairness.FairClassifier method)
(perpetual.iv.BraidedBooster method)
(perpetual.meta_learners.DRLearner method)
(perpetual.meta_learners.SLearner method)
(perpetual.meta_learners.TLearner method)
(perpetual.meta_learners.XLearner method)
(perpetual.PerpetualBooster method)
(perpetual.policy.PolicyLearner method)
(perpetual.sklearn.PerpetualClassifier method)
(perpetual.sklearn.PerpetualRanker method)
(perpetual.sklearn.PerpetualRegressor method)
(perpetual.uplift.UpliftBooster method)
from_json() (perpetual.iv.BraidedBooster class method)
(perpetual.PerpetualBooster class method)
(perpetual.uplift.UpliftBooster class method)
G
generate_reason_codes() (perpetual.risk.PerpetualRiskEngine method)
get_metadata() (perpetual.PerpetualBooster method)
get_node_lists() (perpetual.PerpetualBooster method)
get_params() (perpetual.PerpetualBooster method)
I
insert_metadata() (perpetual.PerpetualBooster method)
is_fitted (perpetual.PerpetualBooster property)
J
json_dump() (perpetual.PerpetualBooster method)
L
load_booster() (perpetual.PerpetualBooster class method)
load_model() (perpetual.PerpetualBooster class method)
M
metadata_attributes (perpetual.PerpetualBooster attribute)
N
number_of_trees (perpetual.PerpetualBooster property)
P
partial_dependence() (perpetual.PerpetualBooster method)
PerpetualBooster (class in perpetual)
PerpetualClassifier (class in perpetual.sklearn)
PerpetualRanker (class in perpetual.sklearn)
PerpetualRegressor (class in perpetual.sklearn)
PerpetualRiskEngine (class in perpetual.risk)
PolicyLearner (class in perpetual.policy)
predict() (perpetual.dml.DMLEstimator method)
(perpetual.fairness.FairClassifier method)
(perpetual.iv.BraidedBooster method)
(perpetual.meta_learners.DRLearner method)
(perpetual.meta_learners.SLearner method)
(perpetual.meta_learners.TLearner method)
(perpetual.meta_learners.XLearner method)
(perpetual.PerpetualBooster method)
(perpetual.policy.PolicyLearner method)
(perpetual.uplift.UpliftBooster method)
predict_contributions() (perpetual.fairness.FairClassifier method)
(perpetual.PerpetualBooster method)
predict_distribution() (perpetual.PerpetualBooster method)
predict_intervals() (perpetual.PerpetualBooster method)
predict_log_proba() (perpetual.PerpetualBooster method)
predict_nodes() (perpetual.PerpetualBooster method)
predict_proba() (perpetual.fairness.FairClassifier method)
(perpetual.PerpetualBooster method)
(perpetual.policy.PolicyLearner method)
predict_sets() (perpetual.PerpetualBooster method)
prune() (perpetual.PerpetualBooster method)
Q
qini_coefficient() (in module perpetual.causal_metrics)
qini_curve() (in module perpetual.causal_metrics)
S
save_as_onnx() (perpetual.PerpetualBooster method)
save_as_xgboost() (perpetual.PerpetualBooster method)
save_booster() (perpetual.PerpetualBooster method)
save_model() (perpetual.PerpetualBooster method)
score() (perpetual.sklearn.PerpetualClassifier method)
(perpetual.sklearn.PerpetualRegressor method)
set_params() (perpetual.PerpetualBooster method)
SLearner (class in perpetual.meta_learners)
T
text_dump() (perpetual.PerpetualBooster method)
TLearner (class in perpetual.meta_learners)
to_json() (perpetual.iv.BraidedBooster method)
(perpetual.uplift.UpliftBooster method)
trees_to_dataframe() (perpetual.PerpetualBooster method)
U
UpliftBooster (class in perpetual.uplift)
X
XLearner (class in perpetual.meta_learners)