andrey.metrics.adjusted_rand_index# andrey.metrics.adjusted_rand_index(labels_a, labels_b)[source]# Adjusted Rand index between two label vectors (chance-corrected; 1.0 is identical). Return type: float Examples >>> adjusted_rand_index([0, 0, 1, 1], [1, 1, 0, 0]) 1.0
