lir.metrics.overestimation module
- lir.metrics.overestimation.llr_overestimation(llrs: ndarray, y: ndarray, **kwargs: Any) float[source]
Calculate the mean absolute value of the LLR-overestimation.
- Parameters:
llrs (np.ndarray) – Array of log-likelihood ratios.
y (np.ndarray) – Array of labels (1 for H1 and 0 for H2).
**kwargs (Any) – Additional keyword arguments forwarded to calc_llr_overestimation.
- Returns:
Mean absolute value of the overestimation grid, or np.nan when unavailable.
- Return type:
float