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  • Getting Started
  • Tutorial
  • User Guide
  • API Reference
  • Project Information
  • GitHub
  • PyPI

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  • empulse.metrics
    • CostMatrix
    • MetricStrategy
    • Capability
    • MaxProfit
    • MinCost
    • EmpiricalMaxProfit
    • EmpiricalMinCost
    • AUEPC
    • Cost
    • Profit
    • LogCost
    • Savings
    • BaseMetric
    • Metric
    • MixtureComponent
    • MixtureMetric
    • LogitObjective
    • ElasticNetPenalty
    • objective_scale_from_costs
    • max_profit_score
    • lift_score
    • cost_loss
    • expected_cost_loss
    • expected_log_cost_loss
    • savings_score
    • expected_savings_score
    • empa_score
    • mpa_score
    • expected_cost_loss_acquisition
    • empc_score
    • mpc_score
    • empb_score
    • auepc_score
    • expected_cost_loss_churn
    • empcs_score
    • mpcs_score
    • classification_threshold
  • empulse.models
    • B2BoostClassifier
    • CSBaggingClassifier
    • CSBoostClassifier
    • CSForestClassifier
    • CSLogitClassifier
    • CSRateClassifier
    • CSThresholdClassifier
    • CSTreeClassifier
    • RobustCSClassifier
    • ProfLogitClassifier
    • ProfMEMPMClassifier
    • ProfMPMClassifier
    • ProfSRClassifier
    • ProfTreeClassifier
    • BiasRelabelingClassifier
    • BiasResamplingClassifier
    • BiasReweighingClassifier
  • empulse.samplers
    • BiasRelabler
    • BiasResampler
    • CostSensitiveSampler
  • empulse.optimizers
    • Optimizer
    • Adam
    • GeneticAlgorithmOptimizer
    • LBFGSBOptimizer
    • MemeticOptimizer
    • RMSProp
    • ScipyOptimizer
    • SGD
    • Generation
    • LamarckianGeneration
    • Schedule
    • ConstantSchedule
    • CosineAnnealingSchedule
    • ExponentialSchedule
    • LinearSchedule
    • StepSchedule
    • WarmupSchedule
  • empulse.datasets
    • Dataset
    • get_data_home
    • load_churn_tv_subscriptions
    • load_upsell_bank_telemarketing
    • load_credit_scoring_pakdd
    • fetch_give_me_some_credit
    • fetch_iranian_churn
  • API Reference
  • empulse.samplers

empulse.samplers#

The samplers module contains a collection of samplers based on Imbalanced-Learn.

BiasRelabler

Sampler which relabels instances to remove bias against a subgroup.

BiasResampler

Sampler which resamples instances to remove bias against a subgroup.

CostSensitiveSampler

Sampler which performs cost-proportionate resampling.

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BiasReweighingClassifier

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BiasRelabler

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