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Assign Doubt for Dissimilarity from Labelled Set

See original GitHub issue

Suppose that y can contain NaN values if they aren’t labeled. In that case, we may want to favor a subset of these NaN values. In particular: if they differ substantially from the already labeled datapoints.

The idea here is that we may be able to sample more diverse datapoints.

Issue Analytics

State:
Created 2 years ago
Comments:10 (9 by maintainers)

Top GitHub Comments

1reaction

glevvcommented, Dec 13, 2021

It should be doable with the help of sklearn semi-supervised methods

0reactions

Garvecommented, Dec 15, 2021

Happy to inspire you! I also like this one a lot.

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