nannyml.performance_estimation package

Subpackages

• nannyml.performance_estimation.confidence_based package
  • Submodules
    • nannyml.performance_estimation.confidence_based.cbpe module
      • CBPE
    • nannyml.performance_estimation.confidence_based.metrics module
      • BinaryClassificationAUROC
      • BinaryClassificationAccuracy
      • BinaryClassificationF1
      • BinaryClassificationPrecision
      • BinaryClassificationRecall
      • BinaryClassificationSpecificity
      • Metric
      • MetricFactory
      • MulticlassClassificationAUROC
      • MulticlassClassificationAccuracy
      • MulticlassClassificationF1
      • MulticlassClassificationPrecision
      • MulticlassClassificationRecall
      • MulticlassClassificationSpecificity
      • estimate_f1()
      • estimate_precision()
      • estimate_recall()
      • estimate_roc_auc()
      • estimate_specificity()
    • nannyml.performance_estimation.confidence_based.results module
      • Result
  • Module contents
• nannyml.performance_estimation.direct_loss_estimation package
  • Submodules
    • nannyml.performance_estimation.direct_loss_estimation.dle module
      • DLE
    • nannyml.performance_estimation.direct_loss_estimation.metrics module
      • MAE
      • MAPE
      • MSE
      • MSLE
      • Metric
      • MetricFactory
      • RMSE
      • RMSLE
    • nannyml.performance_estimation.direct_loss_estimation.result module
      • Result
  • Module contents

Module contents

Contains all performance estimation implementations and utilities.