Welcome to AI Fairness 360’s documentation!

Modules

• aif360.algorithms
  • aif360.algorithms.preprocessing
    • Disparate Impact Remover
    • Learning Fair Representations
    • Optimized Preprocessing
    • Reweighing
  • aif360.algorithms.inprocessing
    • Adversarial Debiasing
    • ART Classifier
    • Meta Fair Classifier
    • Prejudice Remover
  • aif360.algorithms.postprocessing
    • Calibrated Equality of Odds
    • Equality of Odds
    • Reject Option Classification
  • Base Class
• aif360.datasets
  • Base Class
  • Structured Dataset
  • Binary Label Dataset
  • Standard Datasets
    • Base Class
    • Adult Dataset
    • Bank Dataset
    • Compas Dataset
    • German Dataset
• aif360.explainers
  • Metric Text Explainer
  • Metric JSON Explainer
• aif360.metrics
  • Dataset Metric
  • Binary Label Dataset Metric
  • Classification Metric
  • Sample Distortion Metric
  • Utility Functions

Indices and tables

• Index
• Module Index
• Search Page