in embedding_quality_score.py [0:0]
def get_coRanking(Rank_high, Rank_low):
"""
Computes co-ranking matrix Q from Supplementary eq. (4) in Klimovskaia et al.
"""
N = len(Rank_high)
coRank = np.zeros([N-1, N-1])
for i in range(N):
for j in range(N):
k = int(Rank_high[i, j])
l = int(Rank_low[i, j])
if (k > 0) and (l > 0):
coRank[k-1][l-1] += 1
return coRank