armed.metrics

Custom model metrics.

Functions

balanced_accuracy(y_true, y_pred)	Balanced accuracy metric for multi-class labels.
classification_metrics(y_true, y_pred[, ...])	Compute several classification metrics. * AUROC * At Youden point: balanced accuracy, Youden's index, F1, PPV, NPV, sensitivity, specificity * Sensitivity at fixed specificity * Specificity at fixed sensitivity.
compute_youden_point(y_true, y_pred)	Compute Youden point (where the Youden index sensitivity + specificity - 1 is maximized)
image_metrics(img)	Compute image metrics, including brightness, contrast, sharpness, and SNR
sensitivity_at_specificity(y_true, y_pred[, ...])	Compute sensitivity at fixed specificity.
single_sample_dice(y_true, y_pred[, threshold])	Compute Dice score
specificity_at_sensitivity(y_true, y_pred[, ...])	Compute specificity at fixed sensitivity.