nannyml.performance_estimation.confidence_based package

Submodules

• nannyml.performance_estimation.confidence_based.cbpe module
  • CBPE
    • CBPE.__new__()
• nannyml.performance_estimation.confidence_based.metrics module
  • BinaryClassificationAUROC
    • BinaryClassificationAUROC.realized_performance()
  • BinaryClassificationAccuracy
    • BinaryClassificationAccuracy.realized_performance()
  • BinaryClassificationF1
    • BinaryClassificationF1.realized_performance()
  • BinaryClassificationPrecision
    • BinaryClassificationPrecision.realized_performance()
  • BinaryClassificationRecall
    • BinaryClassificationRecall.realized_performance()
  • BinaryClassificationSpecificity
    • BinaryClassificationSpecificity.realized_performance()
  • Metric
    • Metric.__eq__()
    • Metric.estimate()
    • Metric.fit()
    • Metric.realized_performance()
    • Metric.sampling_error()
  • MetricFactory
    • MetricFactory.create()
    • MetricFactory.register()
    • MetricFactory.registry
  • MulticlassClassificationAUROC
    • MulticlassClassificationAUROC.realized_performance()
  • MulticlassClassificationAccuracy
    • MulticlassClassificationAccuracy.realized_performance()
  • MulticlassClassificationF1
    • MulticlassClassificationF1.realized_performance()
  • MulticlassClassificationPrecision
    • MulticlassClassificationPrecision.realized_performance()
  • MulticlassClassificationRecall
    • MulticlassClassificationRecall.realized_performance()
  • MulticlassClassificationSpecificity
    • MulticlassClassificationSpecificity.realized_performance()
  • estimate_f1()
  • estimate_precision()
  • estimate_recall()
  • estimate_roc_auc()
  • estimate_specificity()
• nannyml.performance_estimation.confidence_based.results module
  • Result
    • Result.plot()

Module contents

Package containing the Confidence Based Performance Estimator (CBPE).