Hyperparameter optimization when training Labeled LDA?

[jonaschn]

Labeled LDA does not support alpha and beta hyperparameter optimization at this time.
How can it be implemented?

[mimno]

Good question. Since in Labeled LDA labels are equal to topics and serve as a "mask" that zeroes out certain topics, there's no single Dirichlet distribution that we could optimize. Maybe some kind of zero inflated model like https://www.birs.ca/workshops/2019/19w5128/files/slides_ZIGDM.pdf ? I'd be open to pull requests.