Index B | C | D | E | F | I | L | M | N | O | P | R | S | T | W B BaseEstimator (class in hopes.ope.estimators) C check_parameters() (hopes.ope.estimators.DirectMethod method) (hopes.ope.estimators.PerDecisionImportanceSampling method) (hopes.ope.estimators.TrajectoryWiseImportanceSampling method) ClassificationBasedPolicy (class in hopes.policy) compute_action_probs() (hopes.policy.Policy method) compute_reward() (hopes.policy.OnnxModelBasedPolicy method) D DirectMethod (class in hopes.ope.estimators) E epsilon (hopes.policy.Policy property) estimate_policy_value() (hopes.ope.estimators.BaseEstimator method) (hopes.ope.estimators.DirectMethod method) (hopes.ope.estimators.InverseProbabilityWeighting method) (hopes.ope.estimators.PerDecisionImportanceSampling method) (hopes.ope.estimators.SelfNormalizedInverseProbabilityWeighting method) (hopes.ope.estimators.TrajectoryWiseImportanceSampling method) estimate_weighted_rewards() (hopes.ope.estimators.BaseEstimator method) (hopes.ope.estimators.DirectMethod method) (hopes.ope.estimators.InverseProbabilityWeighting method) (hopes.ope.estimators.PerDecisionImportanceSampling method) (hopes.ope.estimators.SelfNormalizedInverseProbabilityWeighting method) (hopes.ope.estimators.TrajectoryWiseImportanceSampling method) evaluate() (hopes.ope.evaluation.OffPolicyEvaluation method) F fit() (hopes.ope.estimators.DirectMethod method) (hopes.policy.ClassificationBasedPolicy method) (hopes.policy.PiecewiseLinearPolicy method) FunctionBasedPolicy (class in hopes.policy) I InverseProbabilityWeighting (class in hopes.ope.estimators) L log_probabilities() (hopes.policy.ClassificationBasedPolicy method) (hopes.policy.FunctionBasedPolicy method) (hopes.policy.OnnxModelBasedPolicy method) (hopes.policy.PiecewiseLinearPolicy method) (hopes.policy.Policy method) (hopes.policy.RandomPolicy method) M map_inputs() (hopes.policy.OnnxModelBasedPolicy method) N name (hopes.policy.Policy property) normalize() (hopes.ope.estimators.SelfNormalizedPerDecisionImportanceSampling method) (hopes.ope.estimators.SelfNormalizedTrajectoryWiseImportanceSampling method) O OffPolicyEvaluation (class in hopes.ope.evaluation) OffPolicySelection (class in hopes.ope.selection) OnnxModelBasedPolicy (class in hopes.policy) output_names (hopes.policy.OnnxModelBasedPolicy property) P PerDecisionImportanceSampling (class in hopes.ope.estimators) PiecewiseLinearPolicy (class in hopes.policy) Policy (class in hopes.policy) R RandomPolicy (class in hopes.policy) reset_state() (hopes.policy.OnnxModelBasedPolicy method) S select_action() (hopes.policy.Policy method) select_top_k() (hopes.ope.selection.OffPolicySelection static method) SelfNormalizedInverseProbabilityWeighting (class in hopes.ope.estimators) SelfNormalizedPerDecisionImportanceSampling (class in hopes.ope.estimators) SelfNormalizedTrajectoryWiseImportanceSampling (class in hopes.ope.estimators) short_name() (hopes.ope.estimators.BaseEstimator method) (hopes.ope.estimators.SelfNormalizedTrajectoryWiseImportanceSampling method) (hopes.ope.estimators.TrajectoryWiseImportanceSampling method) T TrajectoryWiseImportanceSampling (class in hopes.ope.estimators) W with_epsilon() (hopes.policy.Policy method) with_name() (hopes.policy.Policy method)
