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precomputed knn about opentsne HOT 2 CLOSED

jlmelville avatar jlmelville commented on June 19, 2024
precomputed knn

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Comments (2)

jlmelville avatar jlmelville commented on June 19, 2024 1

Oh yes looks like I missed the in-built precomputed class. Works for me.

Although I am sure you are not looking for API suggestions, maybe you could allow the neighbors parameter on the TSNE constructor to take a tuple containing the indices and distances and then either create the affinities via the perplexity parameter, or use the Uniform version if the perplexity=None?

Anyway, thank you for the help.

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pavlin-policar avatar pavlin-policar commented on June 19, 2024

Hey, I think this is currently the only approach that would work. Your dummy class is actually included here, and I think it has already been released (it's been a while since I looked at this).

It's a convoluted solution, I know, but currently the only supported one. I need to return to this and think about how I would allow something like the standard metric="precomputed" without cluttering the API further.

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