- KLDis(P, Q)¶
Calculates the Kullback-Leibler Distance of two discrete probability distributions. P and Q are automatically normalised to have the sum of one on rows have the length of one at each.
dist = KLDis(P, Q)
P = n x nbins Q = 1 x nbins or n x nbins(one to one)
dist = n x 1
- KLdistance(data1, data2, num_iter, parameters)¶
This function calculates the Kullback-Leibler Distance (KLD) between two distributions then runs a certain number of iterations where the labels are randomised and the KLD is calculated. Then, the distribution of the Disergences is plotted.