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Combination of supervised and weakly-supervised data #233
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cool! actually the |
Yep, I have rephrased the issue |
We could easily allow users to fit weakly-supervised algorithms on a combination of label supervision (from which we generate constraints as in supervised versions) and additional weak supervision specified by the user
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