NKLD

mlquantify.metrics.NKLD(prev_pred, prev_real)

Compute the normalized Kullback-Leibler divergence between the real and predicted prevalences.

Parameters:

prev_realarray-like of shape (n_classes,)

True prevalence values for each class.

prev_predarray-like of shape (n_classes,)

Predicted prevalence values for each class.

Returns:

divergencefloat

Normalized Kullback-Leibler divergence across all classes.