Index

_

__init__() (ApproximateTabularFittedQBaseline method) (BaseExample method) (BaseFittedQBaseline method) (BaselineExperiment method) (BinaryLogisticRegressionBaseline method) (CustomPlotGenerator method) (DecisionTreeClassifierBaseline method) (DecisionTreeClassifierLeafTuningBaseline method) (ExactTabularFittedQBaseline method) (Experiment method) (FairlearnExperiment method) (HeadlessExample method) (LinearRegressionBaseline method) (PlotGenerator method) (RandomForestClassifierBaseline method) (RLDiabetesUSAgentBaseline method) (RLExperimentBaseline method) (RLPlotGenerator method) (SeldonianExperiment method) (SupervisedExperimentBaseline method) (SupervisedPlotGenerator method) (UniformRandomClassifierBaseline method) (WeightedRandomClassifierBaseline method)

__repr__() (ApproximateTabularFittedQBaseline method) (BaseExample method) (BaseFittedQBaseline method) (BaselineExperiment method) (BinaryLogisticRegressionBaseline method) (CustomPlotGenerator method) (DecisionTreeClassifierBaseline method) (DecisionTreeClassifierLeafTuningBaseline method) (ExactTabularFittedQBaseline method) (Experiment method) (FairlearnExperiment method) (HeadlessExample method) (LinearRegressionBaseline method) (PlotGenerator method) (RandomForestClassifierBaseline method) (RLDiabetesUSAgentBaseline method) (RLExperimentBaseline method) (RLPlotGenerator method) (SeldonianExperiment method) (SupervisedExperimentBaseline method) (SupervisedPlotGenerator method) (UniformRandomClassifierBaseline method) (WeightedRandomClassifierBaseline method)

A

adam() (DecisionTreeClassifierLeafTuningBaseline method) aggregate_results() (BaselineExperiment method) (Experiment method) (FairlearnExperiment method) (SeldonianExperiment method)

ApproximateTabularFittedQBaseline (class in experiments.baselines.fitted_Q)

B

BaseExample (class in experiments.base_example) BaseFittedQBaseline (class in experiments.baselines.fitted_Q) BaselineExperiment (class in experiments.experiments)

batch_predictions() (in module experiments.experiment_utils) batch_predictions_custom_regime() (in module experiments.experiment_utils) binary_logistic_loss() (in module experiments.perf_eval_funcs) BinaryLogisticRegressionBaseline (class in experiments.baselines.logistic_regression)

C

CustomPlotGenerator (class in experiments.generate_plots)

D

DecisionTreeClassifierBaseline (class in experiments.baselines.decision_tree)

DecisionTreeClassifierLeafTuningBaseline (class in experiments.baselines.decision_tree_leaf_tuning) deterministic_accuracy() (in module experiments.perf_eval_funcs)

E

evaluate_constraint_function() (FairlearnExperiment method) evaluate_constraint_functions() (BaselineExperiment method) (SeldonianExperiment method) ExactTabularFittedQBaseline (class in experiments.baselines.fitted_Q) Experiment (class in experiments.experiments) experiments module experiments.base_example module experiments.baselines module experiments.baselines.baselines module experiments.baselines.decision_tree module experiments.baselines.decision_tree_leaf_tuning module experiments.baselines.diabetes_US_baseline module

experiments.baselines.fitted_Q module experiments.baselines.linear_regression module experiments.baselines.logistic_regression module experiments.baselines.random_classifiers module experiments.baselines.random_forest module experiments.experiment_utils module experiments.experiments module experiments.generate_plots module experiments.headless_example module experiments.perf_eval_funcs module

F

FairlearnExperiment (class in experiments.experiments) fit() (BinaryLogisticRegressionBaseline method) (DecisionTreeClassifierLeafTuningBaseline method) (LinearRegressionBaseline method)

forward_pass() (DecisionTreeClassifierLeafTuningBaseline method)

G

generate_behavior_policy_episodes() (in module experiments.experiment_utils) generate_episodes_and_calc_J() (in module experiments.experiment_utils) generate_resampled_datasets() (CustomPlotGenerator method) (SupervisedPlotGenerator method) generate_trial_datasets() (CustomPlotGenerator method) (SupervisedPlotGenerator method) get_fairlearn_predictions() (FairlearnExperiment method) get_jacobian() (DecisionTreeClassifierLeafTuningBaseline method) get_leaf_node_probs() (DecisionTreeClassifierLeafTuningBaseline method) get_max_q() (ApproximateTabularFittedQBaseline method) (BaseFittedQBaseline method) (ExactTabularFittedQBaseline method)

get_next_obs() (ApproximateTabularFittedQBaseline method) (BaseFittedQBaseline method) (ExactTabularFittedQBaseline method) get_probs_from_observations_and_actions() (ApproximateTabularFittedQBaseline method) (BaseFittedQBaseline method) (ExactTabularFittedQBaseline method) get_regressor_weights() (ApproximateTabularFittedQBaseline method) (ExactTabularFittedQBaseline method) get_target() (ApproximateTabularFittedQBaseline method) (BaseFittedQBaseline method) (ExactTabularFittedQBaseline method)

H

has_failed() (in module experiments.experiment_utils)

HeadlessExample (class in experiments.headless_example)

I

instantiate_regressor() (ApproximateTabularFittedQBaseline method) (BaseFittedQBaseline method) (ExactTabularFittedQBaseline method)

L

LinearRegressionBaseline (class in experiments.baselines.linear_regression)

load_regenerated_episodes() (in module experiments.experiment_utils) load_resampled_datasets() (in module experiments.experiment_utils)

M

make_batch_epoch_dict_fixedniter() (in module experiments.experiment_utils) make_batch_epoch_dict_min_sample_repeat() (in module experiments.experiment_utils) make_plots() (CustomPlotGenerator method) (PlotGenerator method) (RLPlotGenerator method) (SupervisedPlotGenerator method) make_regression_dataset() (ApproximateTabularFittedQBaseline method) (BaseFittedQBaseline method) (ExactTabularFittedQBaseline method) make_X() (ApproximateTabularFittedQBaseline method) (BaseFittedQBaseline method) (ExactTabularFittedQBaseline method) make_y() (ApproximateTabularFittedQBaseline method) (BaseFittedQBaseline method) (ExactTabularFittedQBaseline method) module experiments experiments.base_example experiments.baselines experiments.baselines.baselines experiments.baselines.decision_tree experiments.baselines.decision_tree_leaf_tuning experiments.baselines.diabetes_US_baseline experiments.baselines.fitted_Q experiments.baselines.linear_regression experiments.baselines.logistic_regression experiments.baselines.random_classifiers experiments.baselines.random_forest experiments.experiment_utils experiments.experiments experiments.generate_plots experiments.headless_example experiments.perf_eval_funcs

MSE() (in module experiments.perf_eval_funcs) multiclass_accuracy() (in module experiments.perf_eval_funcs) multiclass_logistic_loss() (in module experiments.perf_eval_funcs)

O

one_hot_encode() (ApproximateTabularFittedQBaseline method) (ExactTabularFittedQBaseline method)

P

plot_importance_weights() (RLPlotGenerator method) PlotGenerator (class in experiments.generate_plots) predict() (BinaryLogisticRegressionBaseline method) (DecisionTreeClassifierBaseline method) (DecisionTreeClassifierLeafTuningBaseline method) (LinearRegressionBaseline method) (RandomForestClassifierBaseline method) (SupervisedExperimentBaseline method) (UniformRandomClassifierBaseline method) (WeightedRandomClassifierBaseline method)

prep_custom_data() (in module experiments.experiment_utils) prep_data_for_fairlearn() (in module experiments.experiment_utils) prep_feat_labels() (in module experiments.experiment_utils) prep_feat_labels_for_baseline() (in module experiments.experiment_utils) primary_objective_fn() (RLDiabetesUSAgentBaseline method) probabilistic_accuracy() (in module experiments.perf_eval_funcs)

R

RandomForestClassifierBaseline (class in experiments.baselines.random_forest) RLDiabetesUSAgentBaseline (class in experiments.baselines.diabetes_US_baseline) RLExperimentBaseline (class in experiments.baselines.baselines) RLPlotGenerator (class in experiments.generate_plots) run() (BaseExample method) (HeadlessExample method) run_baseline_experiment() (RLPlotGenerator method) (SupervisedPlotGenerator method) run_baseline_trial() (BaselineExperiment method) run_experiment() (BaselineExperiment method) (FairlearnExperiment method) (SeldonianExperiment method)

run_fairlearn_experiment() (SupervisedPlotGenerator method) run_fairlearn_trial() (FairlearnExperiment method) run_headless_seldonian_experiment() (SupervisedPlotGenerator method) run_QSA_trial() (SeldonianExperiment method) run_seldonian_experiment() (CustomPlotGenerator method) (RLPlotGenerator method) (SupervisedPlotGenerator method) run_trials_par() (SeldonianExperiment method)

S

SeldonianExperiment (class in experiments.experiments) set_leaf_node_values() (DecisionTreeClassifierLeafTuningBaseline method) set_new_params() (ApproximateTabularFittedQBaseline method) (BaseFittedQBaseline method) (ExactTabularFittedQBaseline method) (RLDiabetesUSAgentBaseline method) (RLExperimentBaseline method) set_q_table() (ApproximateTabularFittedQBaseline method) (ExactTabularFittedQBaseline method)

setup_SA_spec_for_exp() (in module experiments.experiment_utils) stopping_criteria_met() (ApproximateTabularFittedQBaseline method) (BaseFittedQBaseline method) (ExactTabularFittedQBaseline method) supervised_initial_solution_fn() (in module experiments.experiment_utils) SupervisedExperimentBaseline (class in experiments.baselines.baselines) SupervisedPlotGenerator (class in experiments.generate_plots)

T

train() (BinaryLogisticRegressionBaseline method) (DecisionTreeClassifierBaseline method) (DecisionTreeClassifierLeafTuningBaseline method) (LinearRegressionBaseline method) (RandomForestClassifierBaseline method) (RLDiabetesUSAgentBaseline method) (RLExperimentBaseline method) (SupervisedExperimentBaseline method) (UniformRandomClassifierBaseline method) (WeightedRandomClassifierBaseline method)

trial_arg_chunker() (in module experiments.experiment_utils)

U

UniformRandomClassifierBaseline (class in experiments.baselines.random_classifiers) update_Q_weights() (ApproximateTabularFittedQBaseline method) (BaseFittedQBaseline method) (ExactTabularFittedQBaseline method)

V

validate_constraint_eval_kwargs() (CustomPlotGenerator method) (PlotGenerator method) (RLPlotGenerator method) (SupervisedPlotGenerator method)

W

WeightedRandomClassifierBaseline (class in experiments.baselines.random_classifiers) wrapped_primary_objective() (DecisionTreeClassifierLeafTuningBaseline method) write_trial_result() (BaselineExperiment method) (Experiment method) (FairlearnExperiment method) (SeldonianExperiment method)