LM-Polygraph

Contents:

  • Basic usage
  • Library design
  • Normalization

API Reference

  • lm_polygraph
    • lm_polygraph package
      • Subpackages
        • lm_polygraph.estimators package
        • lm_polygraph.generation_metrics package
        • lm_polygraph.model_adapters package
        • lm_polygraph.stat_calculators package
        • lm_polygraph.ue_metrics package
        • lm_polygraph.utils package
LM-Polygraph
  • lm_polygraph
  • lm_polygraph package
  • lm_polygraph.ue_metrics package
  • View page source

lm_polygraph.ue_metrics package

Submodules

  • lm_polygraph.ue_metrics.ece module
    • ECE
      • ECE.normalize_scores()
  • lm_polygraph.ue_metrics.isotonic_pcc module
    • IsotonicPCC
  • lm_polygraph.ue_metrics.kendalltau module
    • KendallTauCorrelation
  • lm_polygraph.ue_metrics.pr_auc module
    • PRAUC
      • PRAUC.preprocess_inf()
  • lm_polygraph.ue_metrics.pred_rej_area module
    • PredictionRejectionArea
  • lm_polygraph.ue_metrics.rev_pairs_prop module
    • ReversedPairsProportion
  • lm_polygraph.ue_metrics.risk_cov_curve module
    • RiskCoverageCurveAUC
  • lm_polygraph.ue_metrics.roc_auc module
    • ROCAUC
      • ROCAUC.is_ood_metric
      • ROCAUC.preprocess_inf()
  • lm_polygraph.ue_metrics.spearmanr module
    • SpearmanRankCorrelation
  • lm_polygraph.ue_metrics.ue_metric module
    • UEMetric
    • get_random_scores()
    • normalize()
    • normalize_metric()
    • skip_target_nans()
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