Index

A

algorithm (hpt.tuner.ObjectiveFunction.TrialResults attribute) all_results (hpt.tuner.ObjectiveFunction property)

apply_recursively() (in module hpt.utils.dict) assert_argument_exists() (hpt.utils.load_yaml.YamlValidator method) assert_class_exists() (hpt.utils.load_yaml.YamlValidator method)

B

BaseLearner (class in hpt.utils.api)

best_trial (hpt.tuner.ObjectiveFunction property)

C

compute_area() (hpt.utils.fairness_criteria.CriteriaData method) compute_area_slices() (hpt.utils.fairness_criteria.CriteriaData method) compute_binary_predictions() (in module hpt.binarize) compute_curves() (hpt.utils.fairness_criteria.CriteriaData method)

compute_global_accuracy() (hpt.thresholding_evaluation.ThresholdingEvaluation method) compute_profit() (hpt.utils.fairness_criteria.CriteriaData method) coverage() (hpt.utils.fairness_criteria.CriteriaData method) CriteriaData (class in hpt.utils.fairness_criteria)

D

demographic_cutoffs() (hpt.utils.fairness_criteria.CriteriaData method)

E

efficiency() (hpt.utils.fairness_criteria.CriteriaData method) evaluate_fairness() (in module hpt.evaluation) evaluate_model() (hpt.tuner.ObjectiveFunction method)

evaluate_opportunity() (hpt.utils.fairness_criteria.CriteriaData method) evaluate_performance() (in module hpt.evaluation) evaluate_predictions() (in module hpt.evaluation) evaluate_predictions_bootstrap() (in module hpt.evaluation)

F

first_index_above() (in module hpt.utils.fairness_criteria) fit() (hpt.utils.api.BaseLearner method) fit_dict() (in module hpt.utils.dict)

fit_model() (hpt.tuner.ObjectiveFunction static method) fit_time (hpt.tuner.ObjectiveFunction.TrialResults attribute) fixed_cutoffs() (hpt.utils.fairness_criteria.CriteriaData method) from_individuals() (hpt.utils.fairness_criteria.CriteriaData class method)

G

get_best_demographic() (hpt.utils.fairness_criteria.CriteriaData method) get_best_fixed() (hpt.utils.fairness_criteria.CriteriaData method) get_best_opportunity() (hpt.utils.fairness_criteria.CriteriaData method)

get_full_name() (in module hpt.utils.classpath) get_pdfs() (hpt.utils.fairness_criteria.CriteriaData method) get_results() (hpt.tuner.ObjectiveFunction method)

H

hpt.binarize module hpt.evaluation module hpt.suggest module hpt.thresholding_evaluation module hpt.tuner module hpt.utils.api module

hpt.utils.classpath module hpt.utils.dict module hpt.utils.fairness_criteria module hpt.utils.load_yaml module hpt.utils.trial module hyperparameters (hpt.tuner.ObjectiveFunction.TrialResults attribute)

I

id (hpt.tuner.ObjectiveFunction.TrialResults attribute)

import_object() (in module hpt.utils.classpath) instantiate_model() (hpt.tuner.ObjectiveFunction static method)

J

join_dictionaries() (in module hpt.utils.dict)

L

load_hyperparameter_space() (in module hpt.utils.load_yaml)

M

model (hpt.tuner.ObjectiveFunction.TrialResults attribute) module hpt.binarize hpt.evaluation hpt.suggest hpt.thresholding_evaluation hpt.tuner hpt.utils.api hpt.utils.classpath hpt.utils.dict hpt.utils.fairness_criteria hpt.utils.load_yaml hpt.utils.trial

O

ObjectiveFunction (class in hpt.tuner) ObjectiveFunction.TrialResults (class in hpt.tuner)

opportunity_cutoffs() (hpt.utils.fairness_criteria.CriteriaData method) optimize() (hpt.tuner.OptunaTuner method) OptunaTuner (class in hpt.tuner)

P

plot() (hpt.tuner.ObjectiveFunction method) post_hoc_fairness() (hpt.thresholding_evaluation.ThresholdingEvaluation method)

predict_proba() (hpt.utils.api.BaseLearner method) profit_cutoffs() (hpt.utils.fairness_criteria.CriteriaData method)

R

RandomValueTrial (class in hpt.utils.trial) reconstruct_model() (hpt.tuner.ObjectiveFunction method)

results (hpt.tuner.ObjectiveFunction property) (hpt.tuner.OptunaTuner property)

S

safe_division() (in module hpt.evaluation) score_two_sided_profit() (hpt.utils.fairness_criteria.CriteriaData method) suggest_callable_hyperparams() (in module hpt.suggest)

suggest_hyperparams() (in module hpt.suggest) suggest_numerical_hyperparam() (in module hpt.suggest) suggest_random_hyperparams() (in module hpt.suggest)

T

test_results (hpt.tuner.ObjectiveFunction.TrialResults attribute) ThresholdingEvaluation (class in hpt.thresholding_evaluation) train_results (hpt.tuner.ObjectiveFunction.TrialResults attribute) trisearch (hpt.utils.fairness_criteria.CriteriaData property)

trisearch() (in module hpt.utils.fairness_criteria) trisearch_int() (in module hpt.utils.fairness_criteria) two_sided_optimum() (hpt.utils.fairness_criteria.CriteriaData method) two_sided_ranges() (hpt.utils.fairness_criteria.CriteriaData method)

V

validation_results (hpt.tuner.ObjectiveFunction.TrialResults attribute)

Y

YamlValidator (class in hpt.utils.load_yaml)