Scikit Learn Multilabel Classification: ValueError: You appear to be using a legacy multi-label data representation
The documentation gives this example:
>>> from sklearn.preprocessing import MultiLabelBinarizer
>>> y = [[2, 3, 4], [2], [0, 1, 3], [0, 1, 2, 3, 4], [0, 1, 2]]
>>> MultiLabelBinarizer().fit_transform(y)
array([[0, 0, 1, 1, 1],
[0, 0, 1, 0, 0],
[1, 1, 0, 1, 0],
[1, 1, 1, 1, 1],
[1, 1, 1, 0, 0]])
MultiLabelBinarizer.fit_transform takes in your labeled sets and can output the binary array. The output should then be alright to pass to your fit function.