Thanks, I completely swap the two. :-( Grrr...
Not my best pr. I will correct this.

>> As far as I know, test are perform for both multilabel type.

>Yes, but if you test for y_true = np.array([[0.0, 1.0, 0.0], [1.0, 1.0, 0.0], [0.0, 0.0, 1.0]]) and y_pred = np.ones((3, 3)), then perhaps use the equivalent seq-of-seqs representation: y_true = [['b'], ['a', 'b'], ['c']] and y_pred = [['a', 'b', 'c'], ['a', 'b', 'c'], ['a', 'b', 'c']], so we can see that the results are identical.

Tests use the LabelBinarizer to test both format and the `test_multilabel_representation_invariance` check also that both format give the same value.