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As target_label only accept single values, making it work on multi class problems is not so simple. I have written a simple looping function to iterate over the correct target labels, but as on Flair 0.8post1, I find that predictions of the interpret_sentence class deviate from the orginal multi class model (i.e. wrong class prediction).
On personal note: I think you have done a really good job in building this solution. It has worked wonders for multi label problems already.
The text was updated successfully, but these errors were encountered:
As target_label only accept single values, making it work on multi class problems is not so simple. I have written a simple looping function to iterate over the correct target labels, but as on Flair 0.8post1, I find that predictions of the interpret_sentence class deviate from the orginal multi class model (i.e. wrong class prediction).
On personal note: I think you have done a really good job in building this solution. It has worked wonders for multi label problems already.
The text was updated successfully, but these errors were encountered: