Index _ | A | B | C | D | E | F | G | I | L | M | N | O | P | R | S | T | V | W _ __call__() (empulse.metrics.BaseMetric method) (empulse.metrics.LogitObjective method) (empulse.metrics.Metric method) (empulse.metrics.MixtureMetric method) (empulse.optimizers.Adam method) (empulse.optimizers.ConstantSchedule method) (empulse.optimizers.CosineAnnealingSchedule method) (empulse.optimizers.ExponentialSchedule method) (empulse.optimizers.GeneticAlgorithmOptimizer method) (empulse.optimizers.LBFGSBOptimizer method) (empulse.optimizers.LinearSchedule method) (empulse.optimizers.MemeticOptimizer method) (empulse.optimizers.Optimizer method) (empulse.optimizers.RMSProp method) (empulse.optimizers.Schedule method) (empulse.optimizers.ScipyOptimizer method) (empulse.optimizers.SGD method) (empulse.optimizers.StepSchedule method) (empulse.optimizers.WarmupSchedule method) A Adam (class in empulse.optimizers) add_fn_benefit() (empulse.metrics.CostMatrix method) add_fn_cost() (empulse.metrics.CostMatrix method) add_fp_benefit() (empulse.metrics.CostMatrix method) add_fp_cost() (empulse.metrics.CostMatrix method) add_tn_benefit() (empulse.metrics.CostMatrix method) add_tn_cost() (empulse.metrics.CostMatrix method) add_to() (empulse.metrics.ElasticNetPenalty method) add_tp_benefit() (empulse.metrics.CostMatrix method) add_tp_cost() (empulse.metrics.CostMatrix method) alias() (empulse.metrics.CostMatrix method) apply() (empulse.models.CSForestClassifier method) (empulse.models.CSTreeClassifier method) AUEPC (class in empulse.metrics) auepc_score (in module empulse.metrics) B B2BoostClassifier (class in empulse.models) BaseMetric (class in empulse.metrics) BiasRelabelingClassifier (class in empulse.models) BiasRelabler (class in empulse.samplers) BiasResampler (class in empulse.samplers) BiasResamplingClassifier (class in empulse.models) BiasReweighingClassifier (class in empulse.models) build() (empulse.metrics.AUEPC method) (empulse.metrics.Cost method) (empulse.metrics.EmpiricalMaxProfit method) (empulse.metrics.EmpiricalMinCost method) (empulse.metrics.LogCost method) (empulse.metrics.MaxProfit method) (empulse.metrics.MetricStrategy method) (empulse.metrics.MinCost method) (empulse.metrics.Profit method) (empulse.metrics.Savings method) C capabilities (empulse.metrics.AUEPC property) (empulse.metrics.BaseMetric property) (empulse.metrics.Cost property) (empulse.metrics.EmpiricalMaxProfit property) (empulse.metrics.EmpiricalMinCost property) (empulse.metrics.LogCost property) (empulse.metrics.MaxProfit property) (empulse.metrics.Metric property) (empulse.metrics.MetricStrategy property) (empulse.metrics.MinCost property) (empulse.metrics.MixtureMetric property) (empulse.metrics.Profit property) (empulse.metrics.Savings property) Capability (class in empulse.metrics) classes_ (empulse.models.CSRateClassifier property) (empulse.models.CSThresholdClassifier property) (empulse.models.RobustCSClassifier property) classification_threshold() (in module empulse.metrics) ConstantSchedule (class in empulse.optimizers) constrain() (empulse.metrics.CostMatrix method) (empulse.metrics.MixtureMetric method) CosineAnnealingSchedule (class in empulse.optimizers) Cost (class in empulse.metrics) cost_complexity_pruning_path() (empulse.models.CSTreeClassifier method) cost_loss() (in module empulse.metrics) CostMatrix (class in empulse.metrics) CostSensitiveSampler (class in empulse.samplers) count() (empulse.metrics.MixtureComponent method) CSBaggingClassifier (class in empulse.models) CSBoostClassifier (class in empulse.models) CSForestClassifier (class in empulse.models) CSLogitClassifier (class in empulse.models) CSRateClassifier (class in empulse.models) CSThresholdClassifier (class in empulse.models) CSTreeClassifier (class in empulse.models) D data_gradient() (empulse.metrics.LogitObjective method) data_loss() (empulse.metrics.LogitObjective method) data_loss_gradient() (empulse.metrics.LogitObjective method) Dataset (class in empulse.datasets) decision_function() (empulse.models.CSBaggingClassifier method) (empulse.models.CSRateClassifier method) (empulse.models.CSThresholdClassifier method) (empulse.models.RobustCSClassifier method) decision_path() (empulse.models.CSForestClassifier method) (empulse.models.CSTreeClassifier method) direction (empulse.metrics.BaseMetric property) (empulse.metrics.Metric property) (empulse.metrics.MixtureMetric property) E ElasticNetPenalty (class in empulse.metrics) empa_score (in module empulse.metrics) empb_score (in module empulse.metrics) empc_score (in module empulse.metrics) empcs_score (in module empulse.metrics) EmpiricalMaxProfit (class in empulse.metrics) EmpiricalMinCost (class in empulse.metrics) empulse.datasets module empulse.metrics module empulse.models module empulse.optimizers module empulse.samplers module estimators_ (empulse.models.CSBaggingClassifier property) (empulse.models.CSForestClassifier property) estimators_features_ (empulse.models.CSBaggingClassifier property) estimators_samples_ (empulse.models.CSBaggingClassifier property) (empulse.models.CSForestClassifier property) expected_cost_loss (in module empulse.metrics) expected_cost_loss_acquisition (in module empulse.metrics) expected_cost_loss_churn (in module empulse.metrics) expected_log_cost_loss (in module empulse.metrics) expected_savings_score (in module empulse.metrics) ExponentialSchedule (class in empulse.optimizers) F feature_importances_ (empulse.models.CSForestClassifier property) (empulse.models.CSTreeClassifier property) fetch_give_me_some_credit() (in module empulse.datasets) fetch_iranian_churn() (in module empulse.datasets) fit() (empulse.models.B2BoostClassifier method) (empulse.models.BiasRelabelingClassifier method) (empulse.models.BiasResamplingClassifier method) (empulse.models.BiasReweighingClassifier method) (empulse.models.CSBaggingClassifier method) (empulse.models.CSBoostClassifier method) (empulse.models.CSForestClassifier method) (empulse.models.CSLogitClassifier method) (empulse.models.CSRateClassifier method) (empulse.models.CSThresholdClassifier method) (empulse.models.CSTreeClassifier method) (empulse.models.ProfLogitClassifier method) (empulse.models.ProfMEMPMClassifier method) (empulse.models.ProfMPMClassifier method) (empulse.models.ProfSRClassifier method) (empulse.models.ProfTreeClassifier method) (empulse.models.RobustCSClassifier method) (empulse.samplers.BiasRelabler method) (empulse.samplers.BiasResampler method) (empulse.samplers.CostSensitiveSampler method) fit_resample() (empulse.samplers.BiasRelabler method) (empulse.samplers.BiasResampler method) (empulse.samplers.CostSensitiveSampler method) from_costs() (empulse.metrics.ElasticNetPenalty class method) from_scale() (empulse.metrics.ElasticNetPenalty class method) G Generation (class in empulse.optimizers) GeneticAlgorithmOptimizer (class in empulse.optimizers) get_data_home() (in module empulse.datasets) get_depth() (empulse.models.CSTreeClassifier method) get_feature_names_out() (empulse.samplers.BiasRelabler method) (empulse.samplers.BiasResampler method) (empulse.samplers.CostSensitiveSampler method) get_metadata_routing() (empulse.models.B2BoostClassifier method) (empulse.models.BiasRelabelingClassifier method) (empulse.models.BiasResamplingClassifier method) (empulse.models.BiasReweighingClassifier method) (empulse.models.CSBaggingClassifier method) (empulse.models.CSBoostClassifier method) (empulse.models.CSForestClassifier method) (empulse.models.CSLogitClassifier method) (empulse.models.CSRateClassifier method) (empulse.models.CSThresholdClassifier method) (empulse.models.CSTreeClassifier method) (empulse.models.ProfLogitClassifier method) (empulse.models.ProfMEMPMClassifier method) (empulse.models.ProfMPMClassifier method) (empulse.models.ProfSRClassifier method) (empulse.models.ProfTreeClassifier method) (empulse.models.RobustCSClassifier method) (empulse.samplers.BiasRelabler method) (empulse.samplers.BiasResampler method) (empulse.samplers.CostSensitiveSampler method) get_n_leaves() (empulse.models.CSTreeClassifier method) get_params() (empulse.models.B2BoostClassifier method) (empulse.models.BiasRelabelingClassifier method) (empulse.models.BiasResamplingClassifier method) (empulse.models.BiasReweighingClassifier method) (empulse.models.CSBaggingClassifier method) (empulse.models.CSBoostClassifier method) (empulse.models.CSForestClassifier method) (empulse.models.CSLogitClassifier method) (empulse.models.CSRateClassifier method) (empulse.models.CSThresholdClassifier method) (empulse.models.CSTreeClassifier method) (empulse.models.ProfLogitClassifier method) (empulse.models.ProfMEMPMClassifier method) (empulse.models.ProfMPMClassifier method) (empulse.models.ProfSRClassifier method) (empulse.models.ProfTreeClassifier method) (empulse.models.RobustCSClassifier method) (empulse.samplers.BiasRelabler method) (empulse.samplers.BiasResampler method) (empulse.samplers.CostSensitiveSampler method) gradient() (empulse.metrics.ElasticNetPenalty method) gradient_boost_objective() (empulse.metrics.AUEPC method) (empulse.metrics.Cost method) (empulse.metrics.EmpiricalMaxProfit method) (empulse.metrics.EmpiricalMinCost method) (empulse.metrics.LogCost method) (empulse.metrics.MaxProfit method) (empulse.metrics.MetricStrategy method) (empulse.metrics.MinCost method) (empulse.metrics.Profit method) (empulse.metrics.Savings method) I index() (empulse.metrics.MixtureComponent method) is_active (empulse.metrics.ElasticNetPenalty property) is_nonsmooth (empulse.metrics.ElasticNetPenalty property) L l1_weight (empulse.metrics.ElasticNetPenalty property) l2_gradient() (empulse.metrics.ElasticNetPenalty method) l2_value() (empulse.metrics.ElasticNetPenalty method) l2_weight (empulse.metrics.ElasticNetPenalty property) LamarckianGeneration (class in empulse.optimizers) lambda_ (empulse.metrics.ElasticNetPenalty property) LBFGSBOptimizer (class in empulse.optimizers) lift_score() (in module empulse.metrics) LinearSchedule (class in empulse.optimizers) load_churn_tv_subscriptions() (in module empulse.datasets) load_credit_scoring_pakdd() (in module empulse.datasets) load_upsell_bank_telemarketing() (in module empulse.datasets) LogCost (class in empulse.metrics) logit_gradient() (empulse.metrics.LogitObjective method) logit_gradient_steps() (empulse.metrics.LogitObjective method) logit_loss() (empulse.metrics.LogitObjective method) logit_loss_gradient() (empulse.metrics.LogitObjective method) logit_objective() (empulse.metrics.AUEPC method) (empulse.metrics.Cost method) (empulse.metrics.EmpiricalMaxProfit method) (empulse.metrics.EmpiricalMinCost method) (empulse.metrics.LogCost method) (empulse.metrics.MaxProfit method) (empulse.metrics.MetricStrategy method) (empulse.metrics.MinCost method) (empulse.metrics.Profit method) (empulse.metrics.Savings method) LogitObjective (class in empulse.metrics) M mark_outlier_sensitive() (empulse.metrics.CostMatrix method) max_features_ (empulse.models.CSTreeClassifier property) max_profit_score (in module empulse.metrics) MaxProfit (class in empulse.metrics) MemeticOptimizer (class in empulse.optimizers) Metric (class in empulse.metrics) metric (empulse.metrics.MixtureComponent attribute) MetricStrategy (class in empulse.metrics) MinCost (class in empulse.metrics) MixtureComponent (class in empulse.metrics) MixtureMetric (class in empulse.metrics) module empulse.datasets empulse.metrics empulse.models empulse.optimizers empulse.samplers mpa_score (in module empulse.metrics) mpc_score (in module empulse.metrics) mpcs_score (in module empulse.metrics) N n_classes_ (empulse.models.CSBaggingClassifier property) (empulse.models.CSForestClassifier property) (empulse.models.CSTreeClassifier property) n_outputs_ (empulse.models.CSTreeClassifier property) O objective_scale_from_costs() (in module empulse.metrics) oob_decision_function_ (empulse.models.CSBaggingClassifier property) (empulse.models.CSForestClassifier property) oob_score_ (empulse.models.CSBaggingClassifier property) (empulse.models.CSForestClassifier property) optimal_rate() (empulse.metrics.AUEPC method) (empulse.metrics.BaseMetric method) (empulse.metrics.Cost method) (empulse.metrics.EmpiricalMaxProfit method) (empulse.metrics.EmpiricalMinCost method) (empulse.metrics.LogCost method) (empulse.metrics.MaxProfit method) (empulse.metrics.Metric method) (empulse.metrics.MetricStrategy method) (empulse.metrics.MinCost method) (empulse.metrics.MixtureMetric method) (empulse.metrics.Profit method) (empulse.metrics.Savings method) optimal_threshold() (empulse.metrics.AUEPC method) (empulse.metrics.BaseMetric method) (empulse.metrics.Cost method) (empulse.metrics.EmpiricalMaxProfit method) (empulse.metrics.EmpiricalMinCost method) (empulse.metrics.LogCost method) (empulse.metrics.MaxProfit method) (empulse.metrics.Metric method) (empulse.metrics.MetricStrategy method) (empulse.metrics.MinCost method) (empulse.metrics.MixtureMetric method) (empulse.metrics.Profit method) (empulse.metrics.Savings method) optimize() (empulse.optimizers.Generation method) (empulse.optimizers.LamarckianGeneration method) Optimizer (class in empulse.optimizers) P parameter_names (empulse.metrics.BaseMetric property) (empulse.metrics.Metric property) (empulse.metrics.MixtureMetric property) parameters (empulse.metrics.MixtureComponent attribute) penalty (empulse.metrics.LogitObjective attribute) predict() (empulse.models.B2BoostClassifier method) (empulse.models.BiasRelabelingClassifier method) (empulse.models.BiasResamplingClassifier method) (empulse.models.BiasReweighingClassifier method) (empulse.models.CSBaggingClassifier method) (empulse.models.CSBoostClassifier method) (empulse.models.CSForestClassifier method) (empulse.models.CSLogitClassifier method) (empulse.models.CSRateClassifier method) (empulse.models.CSThresholdClassifier method) (empulse.models.CSTreeClassifier method) (empulse.models.ProfLogitClassifier method) (empulse.models.ProfMEMPMClassifier method) (empulse.models.ProfMPMClassifier method) (empulse.models.ProfSRClassifier method) (empulse.models.ProfTreeClassifier method) (empulse.models.RobustCSClassifier method) predict_log_proba() (empulse.models.CSBaggingClassifier method) (empulse.models.CSForestClassifier method) (empulse.models.CSRateClassifier method) (empulse.models.CSThresholdClassifier method) (empulse.models.CSTreeClassifier method) predict_proba() (empulse.models.B2BoostClassifier method) (empulse.models.BiasRelabelingClassifier method) (empulse.models.BiasResamplingClassifier method) (empulse.models.BiasReweighingClassifier method) (empulse.models.CSBaggingClassifier method) (empulse.models.CSBoostClassifier method) (empulse.models.CSForestClassifier method) (empulse.models.CSLogitClassifier method) (empulse.models.CSRateClassifier method) (empulse.models.CSThresholdClassifier method) (empulse.models.CSTreeClassifier method) (empulse.models.ProfLogitClassifier method) (empulse.models.ProfMEMPMClassifier method) (empulse.models.ProfMPMClassifier method) (empulse.models.ProfSRClassifier method) (empulse.models.ProfTreeClassifier method) (empulse.models.RobustCSClassifier method) prepare_boost_objective() (empulse.metrics.AUEPC method) (empulse.metrics.Cost method) (empulse.metrics.EmpiricalMaxProfit method) (empulse.metrics.EmpiricalMinCost method) (empulse.metrics.LogCost method) (empulse.metrics.MaxProfit method) (empulse.metrics.MetricStrategy method) (empulse.metrics.MinCost method) (empulse.metrics.Profit method) (empulse.metrics.Savings method) Profit (class in empulse.metrics) ProfLogitClassifier (class in empulse.models) ProfMEMPMClassifier (class in empulse.models) ProfMPMClassifier (class in empulse.models) ProfSRClassifier (class in empulse.models) ProfTreeClassifier (class in empulse.models) prox() (empulse.metrics.ElasticNetPenalty method) Python Enhancement Proposals PEP 703 R rate_ (empulse.models.CSRateClassifier property) requires_dynamic_boost_objective (empulse.metrics.AUEPC property) (empulse.metrics.Cost property) (empulse.metrics.EmpiricalMaxProfit property) (empulse.metrics.EmpiricalMinCost property) (empulse.metrics.LogCost property) (empulse.metrics.MaxProfit property) (empulse.metrics.MetricStrategy property) (empulse.metrics.MinCost property) (empulse.metrics.Profit property) (empulse.metrics.Savings property) RMSProp (class in empulse.optimizers) RobustCSClassifier (class in empulse.models) S Savings (class in empulse.metrics) savings_score() (in module empulse.metrics) Schedule (class in empulse.optimizers) ScipyOptimizer (class in empulse.optimizers) score() (empulse.metrics.AUEPC method) (empulse.metrics.BaseMetric method) (empulse.metrics.Cost method) (empulse.metrics.EmpiricalMaxProfit method) (empulse.metrics.EmpiricalMinCost method) (empulse.metrics.LogCost method) (empulse.metrics.MaxProfit method) (empulse.metrics.Metric method) (empulse.metrics.MetricStrategy method) (empulse.metrics.MinCost method) (empulse.metrics.MixtureMetric method) (empulse.metrics.Profit method) (empulse.metrics.Savings method) (empulse.models.B2BoostClassifier method) (empulse.models.BiasRelabelingClassifier method) (empulse.models.BiasResamplingClassifier method) (empulse.models.BiasReweighingClassifier method) (empulse.models.CSBaggingClassifier method) (empulse.models.CSBoostClassifier method) (empulse.models.CSForestClassifier method) (empulse.models.CSLogitClassifier method) (empulse.models.CSRateClassifier method) (empulse.models.CSThresholdClassifier method) (empulse.models.CSTreeClassifier method) (empulse.models.ProfLogitClassifier method) (empulse.models.ProfMEMPMClassifier method) (empulse.models.ProfMPMClassifier method) (empulse.models.ProfSRClassifier method) (empulse.models.ProfTreeClassifier method) (empulse.models.RobustCSClassifier method) set_alpha() (empulse.metrics.LogitObjective method) set_default() (empulse.metrics.CostMatrix method) set_fit_request() (empulse.models.B2BoostClassifier method) (empulse.models.BiasRelabelingClassifier method) (empulse.models.BiasResamplingClassifier method) (empulse.models.BiasReweighingClassifier method) (empulse.models.CSBaggingClassifier method) (empulse.models.CSBoostClassifier method) (empulse.models.CSForestClassifier method) (empulse.models.CSLogitClassifier method) (empulse.models.CSRateClassifier method) (empulse.models.CSThresholdClassifier method) (empulse.models.CSTreeClassifier method) (empulse.models.ProfLogitClassifier method) (empulse.models.ProfMEMPMClassifier method) (empulse.models.ProfMPMClassifier method) (empulse.models.ProfSRClassifier method) (empulse.models.ProfTreeClassifier method) (empulse.models.RobustCSClassifier method) set_fit_resample_request() (empulse.samplers.BiasRelabler method) (empulse.samplers.BiasResampler method) (empulse.samplers.CostSensitiveSampler method) set_params() (empulse.models.B2BoostClassifier method) (empulse.models.BiasRelabelingClassifier method) (empulse.models.BiasResamplingClassifier method) (empulse.models.BiasReweighingClassifier method) (empulse.models.CSBaggingClassifier method) (empulse.models.CSBoostClassifier method) (empulse.models.CSForestClassifier method) (empulse.models.CSLogitClassifier method) (empulse.models.CSRateClassifier method) (empulse.models.CSThresholdClassifier method) (empulse.models.CSTreeClassifier method) (empulse.models.ProfLogitClassifier method) (empulse.models.ProfMEMPMClassifier method) (empulse.models.ProfMPMClassifier method) (empulse.models.ProfSRClassifier method) (empulse.models.ProfTreeClassifier method) (empulse.models.RobustCSClassifier method) (empulse.samplers.BiasRelabler method) (empulse.samplers.BiasResampler method) (empulse.samplers.CostSensitiveSampler method) set_predict_proba_request() (empulse.models.CSTreeClassifier method) set_predict_request() (empulse.models.CSRateClassifier method) (empulse.models.CSThresholdClassifier method) (empulse.models.CSTreeClassifier method) set_score_request() (empulse.models.B2BoostClassifier method) (empulse.models.BiasRelabelingClassifier method) (empulse.models.BiasResamplingClassifier method) (empulse.models.BiasReweighingClassifier method) (empulse.models.CSBaggingClassifier method) (empulse.models.CSBoostClassifier method) (empulse.models.CSForestClassifier method) (empulse.models.CSLogitClassifier method) (empulse.models.CSRateClassifier method) (empulse.models.CSThresholdClassifier method) (empulse.models.CSTreeClassifier method) (empulse.models.ProfLogitClassifier method) (empulse.models.ProfMEMPMClassifier method) (empulse.models.ProfMPMClassifier method) (empulse.models.ProfSRClassifier method) (empulse.models.ProfTreeClassifier method) (empulse.models.RobustCSClassifier method) SGD (class in empulse.optimizers) StepSchedule (class in empulse.optimizers) strategy (empulse.metrics.BaseMetric property) (empulse.metrics.Metric property) (empulse.metrics.MixtureMetric property) T threshold_ (empulse.models.CSThresholdClassifier property) to_latex() (empulse.metrics.AUEPC method) (empulse.metrics.Cost method) (empulse.metrics.EmpiricalMaxProfit method) (empulse.metrics.EmpiricalMinCost method) (empulse.metrics.LogCost method) (empulse.metrics.MaxProfit method) (empulse.metrics.MetricStrategy method) (empulse.metrics.MinCost method) (empulse.metrics.Profit method) (empulse.metrics.Savings method) tree_ (empulse.models.CSTreeClassifier property) V value() (empulse.metrics.ElasticNetPenalty method) W WarmupSchedule (class in empulse.optimizers) weight (empulse.metrics.MixtureComponent attribute) with_indices() (empulse.metrics.LogitObjective method) with_n_samples() (empulse.metrics.ElasticNetPenalty method)
