aggregating\_kpis
=================

.. rubric:: Description

.. automodule:: hybrid_learning.concepts.train_eval.kpis.aggregating_kpis

    .. currentmodule:: hybrid_learning.concepts.train_eval.kpis.aggregating_kpis

    
    
    


    
    
    


    
    
    .. rubric:: Classes

    .. autosummary::
        :toctree:
        :nosignatures:
        
        ~Accuracy
        
        ~AggregatingKpi
        
        ~ApproximateMean
        
        ~ApproximateStdDev
        
        ~ApproximateVariance
        
        ~CalibrationCurve
        
        ~ConfusionMatrix
        
        ~ECE
        
        ~Extremum
        
        ~F1Score
        
        ~Histogram
        
        ~Maximum
        
        ~Mean
        
        ~Minimum
        
        ~NegativePredictiveValue
        
        ~Precision
        
        ~PrecisionRecallCurve
        
        ~Recall
        
        ~SetIoU
        
        ~SetIoUThresholdCurve
        
        ~Specificity
        
        ~StandardDev
        
        ~Variance
        

    
    


    
    
    


    
    
    .. rubric:: Functions

    .. autosummary::
        :toctree:
        
        ~filter_aggregating_kpi_keys
        
        ~save_division