Index

_

__init__() (Agent method) (BaseLogisticRegressionModel method) (BaseNode method) (BinaryLogisticRegressionModel method) (BoundedLinearRegressionModel method) (CandidateSelection method) (ClassificationModel method) (ConfusionMatrixBaseNode method) (ConstantNode method) (Continuous_Space method) (CustomDataSet method) (CustomMetaData method) (CustomTextModel method) (CVaRSQeBaseNode method) (DataSet method) (DataSetLoader method) (Discrete_Action_Policy method) (Discrete_Random_Agent method) (Discrete_Space method) (DiscreteSoftmax method) (DummyClassifierModel method) (Env_Description method) (Environment method) (Episode method) (Fourier method) (Function_Approximator method) (Gridworld method) (HyperparameterSelectionSpec method) (HyperparamSearch method) (HyperSchema method) (InternalNode method) (Keyboard_gridworld method) (Linear_FA method) (Linear_state_action_value_FA method) (LinearRegressionModel method) (LinearRegressionModelListFeatures method) (MEDCustomBaseNode method) (MetaData method) (MixedSoftmax method) (Mountain_car_rough_solution method) (Mountaincar method) (MultiClassBaseNode method) (MultiClassLogisticRegressionModel method) (N_step_mountaincar method) (NewPolicyPerformanceBaseNode method) (Node method) (Parameterized_non_learning_softmax_agent method) (ParseTree method) (Policy method) (Q_Table method) (RandomClassifierModel method) (RegressionModel method) (RL_model method) (RLAltRewardBaseNode method) (RLDataSet method) (RLMetaData method) (RLSpec method) (SafetyTest method) (SeldonianAlgorithm method) (SeldonianDecisionTree method) (SeldonianModel method) (SeldonianRandomForest method) (SigmoidPolicyFixedArea method) (SimglucoseFixedAreaAgent method) (SkLearnLinearRegressor method) (Softmax method) (Spec method) (SupervisedDataSet method) (SupervisedMetaData method) (SupervisedModel method) (SupervisedSkLearnBaseModel method) (SupervisedSpec method) (Table method) __repr__() (Agent method) (BaseLogisticRegressionModel method) (BaseNode method) (BinaryLogisticRegressionModel method) (BoundedLinearRegressionModel method) (CandidateSelection method) (ClassificationModel method) (ConfusionMatrixBaseNode method) (ConstantNode method) (Continuous_Space method) (CustomDataSet method) (CustomMetaData method) (CustomTextModel method) (CVaRSQeBaseNode method) (DataSet method) (DataSetLoader method) (Discrete_Action_Policy method) (Discrete_Random_Agent method) (Discrete_Space method) (DiscreteSoftmax method) (DummyClassifierModel method) (Env_Description method) (Environment method) (Episode method) (Fourier method) (Function_Approximator method) (Gridworld method) (HyperparameterSelectionSpec method) (HyperparamSearch method) (HyperSchema method) (InternalNode method) (Keyboard_gridworld method) (Linear_FA method) (Linear_state_action_value_FA method) (LinearRegressionModel method) (LinearRegressionModelListFeatures method) (MEDCustomBaseNode method) (MetaData method) (MixedSoftmax method) (Mountain_car_rough_solution method) (Mountaincar method) (MultiClassBaseNode method) (MultiClassLogisticRegressionModel method) (N_step_mountaincar method) (NewPolicyPerformanceBaseNode method) (Node method) (Parameterized_non_learning_softmax_agent method) (ParseTree method) (Policy method) (Q_Table method) (RandomClassifierModel method) (RegressionModel method) (RL_model method) (RLAltRewardBaseNode method) (RLDataSet method) (RLMetaData method) (RLSpec method) (SafetyTest method) (SeldonianAlgorithm method) (SeldonianDecisionTree method) (SeldonianModel method) (SeldonianRandomForest method) (SigmoidPolicyFixedArea method) (SimglucoseFixedAreaAgent method) (SkLearnLinearRegressor method) (Softmax method) (Spec method) (SupervisedDataSet method) (SupervisedMetaData method) (SupervisedModel method) (SupervisedSkLearnBaseModel method) (SupervisedSpec method) (Table method)

_abs() (ParseTree method) _add() (ParseTree method) _arg() (DiscreteSoftmax method) _assign_bounds_helper() (ParseTree method) _assign_deltas_helper() (ParseTree method) _assign_infl_factors_helper() (ParseTree method) _ast2pt_node() (ParseTree method) _ast_tree_helper() (ParseTree method) _denom() (DiscreteSoftmax method) _div() (ParseTree method) _evaluator_helper() (ParseTree method) _exp() (ParseTree method) _get_theta_init_from_hyper_dict() (HyperparamSearch method) _log() (ParseTree method) _max() (ParseTree method) _min() (ParseTree method) _mult() (ParseTree method) _parse_subscript() (ParseTree method) _pow() (ParseTree method) _preprocess_constraint_str() (ParseTree method) _propagate_value() (ParseTree method) _propagator_helper() (ParseTree method) _protect_nan() (ParseTree method) _sub() (ParseTree method) _unpack_theta_to_hyperparam_values() (HyperparamSearch method) _validate() (HyperSchema method) _validate_delta_vector() (ParseTree method) _validate_infl_factors() (ParseTree method)

A

Agent (class in seldonian.RL.Agents.Agent) aggregate_est_prob_pass() (HyperparamSearch method) argmax_multi() (in module seldonian.utils.RL_utils)

assign_bounds_needed() (ParseTree method) assign_deltas() (ParseTree method) assign_infl_factors() (ParseTree method)

B

backward_pass() (SkLearnLinearRegressor method) (SupervisedSkLearnBaseModel method) BaseLogisticRegressionModel (class in seldonian.models.models) BaseNode (class in seldonian.parse_tree.nodes) batcher() (in module seldonian.parse_tree.zhat_funcs)

binary_logistic_loss() (in module seldonian.models.objectives) BinaryLogisticRegressionModel (class in seldonian.models.models) bootstrap_sample_dataset() (in module seldonian.utils.hyperparam_utils) BoundedLinearRegressionModel (class in seldonian.models.models) bounds_required_dict (in module seldonian.parse_tree.operators) build_tree() (ParseTree method)

C

calculate_batches() (CandidateSelection method) calculate_batches_addl_datasets() (CandidateSelection method) calculate_bounds() (BaseNode method) (ConfusionMatrixBaseNode method) (CVaRSQeBaseNode method) (MEDCustomBaseNode method) (MultiClassBaseNode method) (NewPolicyPerformanceBaseNode method) (RLAltRewardBaseNode method) calculate_data_forbound() (BaseNode method) (ConfusionMatrixBaseNode method) (CVaRSQeBaseNode method) (MEDCustomBaseNode method) (MultiClassBaseNode method) (NewPolicyPerformanceBaseNode method) (RLAltRewardBaseNode method) calculate_num_features() (Fourier method) calculate_value() (BaseNode method) (ConfusionMatrixBaseNode method) (CVaRSQeBaseNode method) (MEDCustomBaseNode method) (MultiClassBaseNode method) (NewPolicyPerformanceBaseNode method) (RLAltRewardBaseNode method) candidate_safety_combine() (HyperparamSearch method) candidate_safety_split() (HyperparamSearch method) (SeldonianAlgorithm method) candidate_safety_split_addl_datasets() (SeldonianAlgorithm method) candidate_selection() (SeldonianAlgorithm method) CandidateSelection (class in seldonian.candidate_selection.candidate_selection) check_bounds_valid() (Continuous_Space method) check_space_type() (in module seldonian.RL.Env_Description.Env_Description) check_valid_mc_action() (Mountaincar method) choose_action() (Agent method) (Discrete_Action_Policy method) (Discrete_Random_Agent method) (DiscreteSoftmax method) (Keyboard_gridworld method) (MixedSoftmax method) (Mountain_car_rough_solution method) (Parameterized_non_learning_softmax_agent method) (Policy method) (SigmoidPolicyFixedArea method) (SimglucoseFixedAreaAgent method) (Softmax method) choose_action_from_action_values() (DiscreteSoftmax method) (MixedSoftmax method) (Softmax method) clamp() (in module seldonian.utils.RL_utils) ClassificationModel (class in seldonian.models.models) clopper_pearson_bound() (in module seldonian.utils.hyperparam_utils)

cmaes_logger() (in module seldonian.utils.io_utils) cmaes_objective() (HyperparamSearch method) compute_HC_lowerbound() (BaseNode method) (ConfusionMatrixBaseNode method) (CVaRSQeBaseNode method) (MEDCustomBaseNode method) (MultiClassBaseNode method) (NewPolicyPerformanceBaseNode method) (RLAltRewardBaseNode method) compute_HC_upper_and_lowerbound() (BaseNode method) (ConfusionMatrixBaseNode method) (CVaRSQeBaseNode method) (MEDCustomBaseNode method) (MultiClassBaseNode method) (NewPolicyPerformanceBaseNode method) (RLAltRewardBaseNode method) compute_HC_upperbound() (BaseNode method) (ConfusionMatrixBaseNode method) (CVaRSQeBaseNode method) (MEDCustomBaseNode method) (MultiClassBaseNode method) (NewPolicyPerformanceBaseNode method) (RLAltRewardBaseNode method) confusion_matrix() (in module seldonian.models.objectives) ConfusionMatrixBaseNode (class in seldonian.parse_tree.nodes) ConstantNode (class in seldonian.parse_tree.nodes) construct_basis_and_linear_FA() (Discrete_Action_Policy method) (DiscreteSoftmax method) (MixedSoftmax method) (Softmax method) construct_basis_matrix() (Fourier method) construct_Q_Table_From_Env_Description() (in module seldonian.RL.Agents.Function_Approximators.Table) Continuous_Space (class in seldonian.RL.Env_Description.Spaces) create_agent_fromdict() (in module seldonian.RL.RL_runner) create_bootstrap_trial_spec() (HyperparamSearch method) create_dataset() (HyperparamSearch method) create_env_description() (Gridworld method) (Mountaincar method) create_from_ast() (ParseTree method) create_model() (SkLearnLinearRegressor method) (SupervisedSkLearnBaseModel method) create_shuffled_dataset() (in module seldonian.utils.hyperparam_utils) createRLSpec() (in module seldonian.spec) createSimpleSupervisedSpec() (in module seldonian.spec) createSupervisedSpec() (in module seldonian.spec) custom_cumprod() (in module seldonian.utils.stats_utils) custom_formatwarning() (in module seldonian.warnings.custom_warnings) CustomDataSet (class in seldonian.dataset) CustomMetaData (class in seldonian.dataset) CustomTextModel (class in seldonian.models.custom_text_model) CVaRSQeBaseNode (class in seldonian.parse_tree.nodes)

D

DataSet (class in seldonian.dataset) DataSetLoader (class in seldonian.dataset) default_supervised_initial_solution_fn() (in module seldonian.utils.stats_utils) dir_path() (in module seldonian.utils.io_utils)

Discrete_Action_Policy (class in seldonian.RL.Agents.Policies.Policy) Discrete_Random_Agent (class in seldonian.RL.Agents.Discrete_Random_Agent) Discrete_Space (class in seldonian.RL.Env_Description.Spaces) DiscreteSoftmax (class in seldonian.RL.Agents.Policies.Softmax) DummyClassifierModel (class in seldonian.models.models)

E

Env_Description (class in seldonian.RL.Env_Description.Env_Description) Environment (class in seldonian.RL.environments.Environment) Episode (class in seldonian.dataset) error() (in module seldonian.utils.RL_utils) Error_Rate() (in module seldonian.models.objectives)

evaluate_constraint() (ParseTree method) evaluate_primary_objective() (CandidateSelection method) (SafetyTest method) (SeldonianAlgorithm method) evaluate_statistic() (in module seldonian.parse_tree.zhat_funcs)

F

False_Negative_Rate() (in module seldonian.models.objectives) False_Positive_Rate() (in module seldonian.models.objectives) find_best_frac_data_in_safety() (HyperparamSearch method) find_best_hyperparameters() (HyperparamSearch method) fit() (BaseLogisticRegressionModel method) (BinaryLogisticRegressionModel method) (BoundedLinearRegressionModel method) (LinearRegressionModel method) (LinearRegressionModelListFeatures method) (MultiClassLogisticRegressionModel method) (SeldonianDecisionTree method) (SeldonianRandomForest method) forward_pass() (SeldonianDecisionTree method) (SeldonianRandomForest method) (SkLearnLinearRegressor method) (SupervisedSkLearnBaseModel method)

Fourier (class in seldonian.RL.Agents.Bases.Fourier) from_0_indexed_action_to_environment_action() (Discrete_Action_Policy method) (DiscreteSoftmax method) (MixedSoftmax method) (Softmax method) from_environment_action_to_0_indexed_action() (Discrete_Action_Policy method) (DiscreteSoftmax method) (MixedSoftmax method) (Softmax method) from_environment_state_to_0_indexed_state() (Q_Table method) (Table method) Function_Approximator (class in seldonian.RL.Agents.Function_Approximators.Function_Approximator)

G

generate_all_bootstrap_datasets() (HyperparamSearch method) generate_clipped_data() (in module seldonian.utils.tutorial_utils) generate_data() (in module seldonian.utils.tutorial_utils) get_action_probs_from_action_values() (DiscreteSoftmax method) (MixedSoftmax method) (Softmax method) get_action_values() (Parameterized_non_learning_softmax_agent method) get_action_values_given_state() (Discrete_Action_Policy method) (DiscreteSoftmax method) (MixedSoftmax method) (Q_Table method) (Softmax method) get_action_values_given_zero_indexed_state() (Q_Table method) get_all_greater_est_prob_pass() (HyperparamSearch method) get_bootstrap_dataset_size() (HyperparamSearch method) get_constraint_upper_bounds() (CandidateSelection method) get_cs_result() (SeldonianAlgorithm method) get_e_to_the_something_terms() (DiscreteSoftmax method) (MixedSoftmax method) (Softmax method) get_env_description() (Environment method) (Gridworld method) (Mountaincar method) (N_step_mountaincar method) get_est_prob_pass() (HyperparamSearch method) get_features() (Fourier method) get_gridsearchable_hyperparameter_iterator() (HyperparamSearch method) get_importance_weights() (CandidateSelection method) (SafetyTest method) (SeldonianAlgorithm method) get_jacobian() (SeldonianDecisionTree method) (SeldonianRandomForest method) get_leaf_node_probs() (SeldonianDecisionTree method) (SeldonianRandomForest method) get_min_action() (Env_Description method) get_min_state() (Env_Description method) get_model_params() (SkLearnLinearRegressor method) (SupervisedSkLearnBaseModel method) get_normalized_observation() (Fourier method) get_num_actions() (Env_Description method) get_num_dims() (Continuous_Space method) get_num_observation_dims() (Env_Description method) get_num_states() (Env_Description method) get_num_values() (Discrete_Space method) get_observation() (Environment method) (Gridworld method) (Mountaincar method) (N_step_mountaincar method)

get_params() (Agent method) (Discrete_Action_Policy method) (Discrete_Random_Agent method) (DiscreteSoftmax method) (Keyboard_gridworld method) (MixedSoftmax method) (Mountain_car_rough_solution method) (Parameterized_non_learning_softmax_agent method) (Policy method) (SigmoidPolicyFixedArea method) (SimglucoseFixedAreaAgent method) (Softmax method) get_policy() (Agent method) (Discrete_Random_Agent method) (Keyboard_gridworld method) (Mountain_car_rough_solution method) (Parameterized_non_learning_softmax_agent method) (SimglucoseFixedAreaAgent method) get_prob_this_action() (Agent method) (Discrete_Action_Policy method) (Discrete_Random_Agent method) (DiscreteSoftmax method) (Keyboard_gridworld method) (MixedSoftmax method) (Mountain_car_rough_solution method) (Parameterized_non_learning_softmax_agent method) (Policy method) (SigmoidPolicyFixedArea method) (SimglucoseFixedAreaAgent method) (Softmax method) get_probs_from_observations_and_actions() (Discrete_Action_Policy method) (DiscreteSoftmax method) (MixedSoftmax method) (Policy method) (RL_model method) (SigmoidPolicyFixedArea method) (Softmax method) get_safety_size() (HyperparamSearch method) get_st_upper_bounds() (SeldonianAlgorithm method) gradient_binary_logistic_loss() (in module seldonian.models.objectives) gradient_Bounded_Squared_Error() (in module seldonian.models.objectives) gradient_descent_adam() (in module seldonian.optimizers.gradient_descent) gradient_Mean_Squared_Error() (in module seldonian.models.objectives) Gridworld (class in seldonian.RL.environments.gridworld)

H

HyperparameterSelectionSpec (class in seldonian.spec)

HyperparamSearch (class in seldonian.hyperparam_search) HyperSchema (class in seldonian.hyperparam_search)

I

InternalNode (class in seldonian.parse_tree.nodes)

IS_estimate() (in module seldonian.models.objectives) is_in_goal_state() (Gridworld method)

K

Keyboard_gridworld (class in seldonian.RL.Agents.keyboard_gridworld)

L

Linear_FA (class in seldonian.RL.Agents.Function_Approximators.Linear_FA) Linear_state_action_value_FA (class in seldonian.RL.Agents.Function_Approximators.Linear_FA) LinearRegressionModel (class in seldonian.models.models) LinearRegressionModelListFeatures (class in seldonian.models.models) load_custom_metadata() (in module seldonian.dataset) load_json() (in module seldonian.utils.io_utils)

load_pickle() (in module seldonian.utils.io_utils) load_RL_dataset_from_csv() (DataSetLoader method) load_RL_dataset_from_episode_file() (DataSetLoader method) load_RL_metadata() (in module seldonian.dataset) load_supervised_dataset() (DataSetLoader method) load_supervised_metadata() (in module seldonian.dataset)

M

make_parse_trees_from_constraints() (in module seldonian.parse_tree.parse_tree) make_state_action_FA() (Discrete_Action_Policy method) (DiscreteSoftmax method) (MixedSoftmax method) (Softmax method) make_synthetic_regression_dataset() (in module seldonian.utils.tutorial_utils) make_viz() (ParseTree method) make_viz_helper() (ParseTree method) mask_data() (BaseNode method) (ConfusionMatrixBaseNode method) (CVaRSQeBaseNode method) (MEDCustomBaseNode method) (MultiClassBaseNode method) (NewPolicyPerformanceBaseNode method) (RLAltRewardBaseNode method) Mean_Error() (in module seldonian.models.objectives) Mean_Squared_Error() (in module seldonian.models.objectives) measure_function_vector_mapper (in module seldonian.parse_tree.zhat_funcs) MEDCustomBaseNode (class in seldonian.parse_tree.nodes) MetaData (class in seldonian.dataset) MixedSoftmax (class in seldonian.RL.Agents.Policies.Softmax) module seldonian seldonian.candidate_selection seldonian.candidate_selection.candidate_selection seldonian.dataset seldonian.hyperparam_search seldonian.models seldonian.models.custom_text_model seldonian.models.models seldonian.models.objectives seldonian.models.sklearn_lr seldonian.models.sklearn_model seldonian.models.trees seldonian.models.trees.skrandomforest_model seldonian.models.trees.sktree_model seldonian.optimizers seldonian.optimizers.gradient_descent seldonian.parse_tree seldonian.parse_tree.nodes seldonian.parse_tree.operators seldonian.parse_tree.parse_tree seldonian.parse_tree.zhat_funcs seldonian.RL seldonian.RL.Agents seldonian.RL.Agents.Agent seldonian.RL.Agents.Bases seldonian.RL.Agents.Bases.Fourier seldonian.RL.Agents.Discrete_Random_Agent seldonian.RL.Agents.Function_Approximators seldonian.RL.Agents.Function_Approximators.Function_Approximator seldonian.RL.Agents.Function_Approximators.Linear_FA seldonian.RL.Agents.Function_Approximators.Table seldonian.RL.Agents.keyboard_gridworld seldonian.RL.Agents.mountain_car_rough_solution seldonian.RL.Agents.Parameterized_non_learning_softmax_agent seldonian.RL.Agents.Policies seldonian.RL.Agents.Policies.Policy seldonian.RL.Agents.Policies.SimglucosePolicyFixedArea seldonian.RL.Agents.Policies.Softmax seldonian.RL.Agents.simglucose_custom_fixedarea_random_agent seldonian.RL.Env_Description seldonian.RL.Env_Description.Env_Description seldonian.RL.Env_Description.Spaces seldonian.RL.environments seldonian.RL.environments.Environment seldonian.RL.environments.gridworld seldonian.RL.environments.mountaincar seldonian.RL.environments.n_step_mountaincar seldonian.RL.RL_model seldonian.RL.RL_runner seldonian.safety_test seldonian.safety_test.safety_test seldonian.seldonian_algorithm seldonian.spec seldonian.utils seldonian.utils.hyperparam_utils seldonian.utils.io_utils seldonian.utils.plot_utils seldonian.utils.RL_utils seldonian.utils.stats_utils seldonian.utils.tutorial_utils seldonian.warnings seldonian.warnings.custom_warnings

Mountain_car_rough_solution (class in seldonian.RL.Agents.mountain_car_rough_solution) Mountaincar (class in seldonian.RL.environments.mountaincar) multiclass_logistic_loss() (in module seldonian.models.objectives) MultiClassBaseNode (class in seldonian.parse_tree.nodes) MultiClassLogisticRegressionModel (class in seldonian.models.models)

N

N_step_mountaincar (class in seldonian.RL.environments.n_step_mountaincar) Negative_Rate() (in module seldonian.models.objectives)

NewPolicyPerformanceBaseNode (class in seldonian.parse_tree.nodes) Node (class in seldonian.parse_tree.nodes) not_supported_op_mapper (in module seldonian.parse_tree.operators)

O

objective_with_barrier() (CandidateSelection method)

op_mapper (in module seldonian.parse_tree.operators)

P

Parameterized_non_learning_softmax_agent (class in seldonian.RL.Agents.Parameterized_non_learning_softmax_agent) parse_trees (SeldonianAlgorithm attribute) ParseTree (class in seldonian.parse_tree.parse_tree) PDIS_estimate() (in module seldonian.models.objectives) plot_gradient_descent() (in module seldonian.utils.plot_utils) Policy (class in seldonian.RL.Agents.Policies.Policy) position_and_termination_update() (Mountaincar method) Positive_Rate() (in module seldonian.models.objectives) powell_objective() (HyperparamSearch method) precalculate_addl_dataset_batch_indices() (CandidateSelection method) precalculate_data() (MEDCustomBaseNode method) predict() (BinaryLogisticRegressionModel method) (BoundedLinearRegressionModel method) (CustomTextModel method) (DummyClassifierModel method) (LinearRegressionModel method) (LinearRegressionModelListFeatures method) (MultiClassLogisticRegressionModel method) (RandomClassifierModel method) (SeldonianDecisionTree method) (SeldonianRandomForest method) (SkLearnLinearRegressor method) (SupervisedSkLearnBaseModel method)

predict_HC_lowerbound() (BaseNode method) (ConfusionMatrixBaseNode method) (CVaRSQeBaseNode method) (MEDCustomBaseNode method) (MultiClassBaseNode method) (NewPolicyPerformanceBaseNode method) (RLAltRewardBaseNode method) predict_HC_upper_and_lowerbound() (BaseNode method) (ConfusionMatrixBaseNode method) (CVaRSQeBaseNode method) (MEDCustomBaseNode method) (MultiClassBaseNode method) (NewPolicyPerformanceBaseNode method) (RLAltRewardBaseNode method) predict_HC_upperbound() (BaseNode method) (ConfusionMatrixBaseNode method) (CVaRSQeBaseNode method) (MEDCustomBaseNode method) (MultiClassBaseNode method) (NewPolicyPerformanceBaseNode method) (RLAltRewardBaseNode method) probs2theta() (in module seldonian.models.trees.sktree_model) propagate() (ParseTree method) propagate_bounds() (ParseTree method)

Q

Q_Table (class in seldonian.RL.Agents.Function_Approximators.Table)

R

RandomClassifierModel (class in seldonian.models.models) rebuild_parse_trees() (in module seldonian.utils.hyperparam_utils) RegressionModel (class in seldonian.models.models) reset() (Environment method) (Gridworld method) (Mountaincar method) (N_step_mountaincar method) reset_base_node_dict() (ParseTree method) RL_model (class in seldonian.RL.RL_model) RLAltRewardBaseNode (class in seldonian.parse_tree.nodes) RLDataSet (class in seldonian.dataset) RLMetaData (class in seldonian.dataset) RLSpec (class in seldonian.spec)

run() (CandidateSelection method) (SafetyTest method) (SeldonianAlgorithm method) run_bootstrap_trial() (HyperparamSearch method) run_candidate_selection() (SeldonianAlgorithm method) run_cmaes() (HyperparamSearch method) run_episode() (in module seldonian.RL.RL_runner) run_episode_from_dict() (in module seldonian.RL.RL_runner) run_episodes_par() (in module seldonian.RL.RL_runner) run_powell() (HyperparamSearch method) run_safety_test() (SeldonianAlgorithm method) run_trial() (in module seldonian.RL.RL_runner) run_trial_given_agent_and_env() (in module seldonian.RL.RL_runner)

S

safety_test() (SeldonianAlgorithm method) SafetyTest (class in seldonian.safety_test.safety_test) sample_from_statistic() (in module seldonian.parse_tree.zhat_funcs) save_json() (in module seldonian.utils.io_utils) save_pickle() (in module seldonian.utils.io_utils) seldonian module seldonian.candidate_selection module seldonian.candidate_selection.candidate_selection module seldonian.dataset module seldonian.hyperparam_search module seldonian.models module seldonian.models.custom_text_model module seldonian.models.models module seldonian.models.objectives module seldonian.models.sklearn_lr module seldonian.models.sklearn_model module seldonian.models.trees module seldonian.models.trees.skrandomforest_model module seldonian.models.trees.sktree_model module seldonian.optimizers module seldonian.optimizers.gradient_descent module seldonian.parse_tree module seldonian.parse_tree.nodes module seldonian.parse_tree.operators module seldonian.parse_tree.parse_tree module seldonian.parse_tree.zhat_funcs module seldonian.RL module seldonian.RL.Agents module seldonian.RL.Agents.Agent module seldonian.RL.Agents.Bases module seldonian.RL.Agents.Bases.Fourier module seldonian.RL.Agents.Discrete_Random_Agent module seldonian.RL.Agents.Function_Approximators module seldonian.RL.Agents.Function_Approximators.Function_Approximator module seldonian.RL.Agents.Function_Approximators.Linear_FA module seldonian.RL.Agents.Function_Approximators.Table module seldonian.RL.Agents.keyboard_gridworld module seldonian.RL.Agents.mountain_car_rough_solution module seldonian.RL.Agents.Parameterized_non_learning_softmax_agent module seldonian.RL.Agents.Policies module seldonian.RL.Agents.Policies.Policy module seldonian.RL.Agents.Policies.SimglucosePolicyFixedArea module seldonian.RL.Agents.Policies.Softmax module seldonian.RL.Agents.simglucose_custom_fixedarea_random_agent module seldonian.RL.Env_Description module seldonian.RL.Env_Description.Env_Description module seldonian.RL.Env_Description.Spaces module

seldonian.RL.environments module seldonian.RL.environments.Environment module seldonian.RL.environments.gridworld module seldonian.RL.environments.mountaincar module seldonian.RL.environments.n_step_mountaincar module seldonian.RL.RL_model module seldonian.RL.RL_runner module seldonian.safety_test module seldonian.safety_test.safety_test module seldonian.seldonian_algorithm module seldonian.spec module seldonian.utils module seldonian.utils.hyperparam_utils module seldonian.utils.io_utils module seldonian.utils.plot_utils module seldonian.utils.RL_utils module seldonian.utils.stats_utils module seldonian.utils.tutorial_utils module seldonian.warnings module seldonian.warnings.custom_warnings module SeldonianAlgorithm (class in seldonian.seldonian_algorithm) SeldonianDecisionTree (class in seldonian.models.trees.sktree_model) SeldonianModel (class in seldonian.models.models) SeldonianRandomForest (class in seldonian.models.trees.skrandomforest_model) set_initial_solution() (SeldonianAlgorithm method) set_leaf_node_values() (SeldonianDecisionTree method) (SeldonianRandomForest method) set_new_params() (Agent method) (Discrete_Action_Policy method) (Discrete_Random_Agent method) (DiscreteSoftmax method) (Function_Approximator method) (Keyboard_gridworld method) (Linear_FA method) (Linear_state_action_value_FA method) (MixedSoftmax method) (Mountain_car_rough_solution method) (Parameterized_non_learning_softmax_agent method) (Policy method) (Q_Table method) (SigmoidPolicyFixedArea method) (SimglucoseFixedAreaAgent method) (Softmax method) (Table method) set_spec_with_hyperparam_setting() (in module seldonian.utils.hyperparam_utils) setup_gradients() (in module seldonian.optimizers.gradient_descent) sigmoid() (in module seldonian.models.trees.sktree_model) SigmoidPolicyFixedArea (class in seldonian.RL.Agents.Policies.SimglucosePolicyFixedArea) SimglucoseFixedAreaAgent (class in seldonian.RL.Agents.simglucose_custom_fixedarea_random_agent) sklearn_predict_vjp() (in module seldonian.models.sklearn_model) (in module seldonian.models.trees.skrandomforest_model) (in module seldonian.models.trees.sktree_model) SkLearnLinearRegressor (class in seldonian.models.sklearn_lr) Softmax (class in seldonian.RL.Agents.Policies.Softmax) softmax() (in module seldonian.utils.stats_utils) Spec (class in seldonian.spec) start_visualizing() (Environment method) (Gridworld method) (Mountaincar method) (N_step_mountaincar method) stddev() (in module seldonian.utils.stats_utils) stop_visualizing() (Environment method) (Gridworld method) (Mountaincar method) (N_step_mountaincar method) SupervisedDataSet (class in seldonian.dataset) SupervisedMetaData (class in seldonian.dataset) SupervisedModel (class in seldonian.models.models) SupervisedSkLearnBaseModel (class in seldonian.models.sklearn_model) SupervisedSpec (class in seldonian.spec)

T

Table (class in seldonian.RL.Agents.Function_Approximators.Table) terminated() (Environment method) (Gridworld method) (Mountaincar method) (N_step_mountaincar method) theta2crcf() (SigmoidPolicyFixedArea method) tinv() (in module seldonian.utils.stats_utils)

transition() (Environment method) (Gridworld method) (Mountaincar method) (N_step_mountaincar method) True_Negative_Rate() (in module seldonian.models.objectives) True_Positive_Rate() (in module seldonian.models.objectives) ttest_bound() (in module seldonian.utils.hyperparam_utils)

U

update() (Agent method) (Discrete_Random_Agent method) (Keyboard_gridworld method) (Mountain_car_rough_solution method) (Parameterized_non_learning_softmax_agent method) (SimglucoseFixedAreaAgent method)

update_model_params() (SkLearnLinearRegressor method) (SupervisedSkLearnBaseModel method) update_position() (Gridworld method) update_velocity() (Mountaincar method) US_estimate() (in module seldonian.models.objectives)

V

validate_additional_datasets() (RLSpec method) (Spec method) (SupervisedSpec method) validate_custom_datasets() (RLSpec method) (Spec method) (SupervisedSpec method) validate_parse_trees() (RLSpec method) (Spec method) (SupervisedSpec method) vector_Accuracy() (in module seldonian.parse_tree.zhat_funcs) vector_auxiliary_return_US_estimate() (in module seldonian.parse_tree.zhat_funcs) vector_confusion_matrix() (in module seldonian.parse_tree.zhat_funcs) vector_Error() (in module seldonian.parse_tree.zhat_funcs) vector_Error_Rate() (in module seldonian.parse_tree.zhat_funcs)

vector_False_Negative_Rate() (in module seldonian.parse_tree.zhat_funcs) vector_False_Positive_Rate() (in module seldonian.parse_tree.zhat_funcs) vector_IS_estimate() (in module seldonian.parse_tree.zhat_funcs) vector_Negative_Rate() (in module seldonian.parse_tree.zhat_funcs) vector_PDIS_estimate() (in module seldonian.parse_tree.zhat_funcs) vector_Positive_Rate() (in module seldonian.parse_tree.zhat_funcs) vector_Squared_Error() (in module seldonian.parse_tree.zhat_funcs) vector_True_Negative_Rate() (in module seldonian.parse_tree.zhat_funcs) vector_True_Positive_Rate() (in module seldonian.parse_tree.zhat_funcs) vector_WIS_estimate() (in module seldonian.parse_tree.zhat_funcs) visualize() (Environment method) (Gridworld method) (Mountaincar method) (N_step_mountaincar method)

W

weighted_sum_gamma() (in module seldonian.utils.stats_utils)

WIS_estimate() (in module seldonian.models.objectives)

Z

zhat() (BaseNode method) (ConfusionMatrixBaseNode method) (CVaRSQeBaseNode method) (MEDCustomBaseNode method) (MultiClassBaseNode method) (NewPolicyPerformanceBaseNode method) (RLAltRewardBaseNode method)