Closed TingNLP closed 4 years ago
lb = lbr.label(X) It's work for running multi-class because we have only one label we will get. but if we run multi-label, it seems not work due to we will get more than one label.
How to modify it? thanks
I see, I think it can be change to the following (on line 34):
return yy[np.random.choice(np.arange(len(yy)), 1)[0]]
I will fix this bug in later version.
Thanks for reporting the bug.
lb = lbr.label(X) It's work for running multi-class because we have only one label we will get. but if we run multi-label, it seems not work due to we will get more than one label.
How to modify it? thanks