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ngoodman avatar ngoodman commented on August 20, 2024

There is a huge power in having easy ways to make useful pictures. My hypothesis would be that mostly we just need to make sure the raw materials (data) are available for the plots we want, and then existing plotting tools in python will allow us to make the figures. But it will be interesting to see where we end up writing a bunch of additional glue...

In addition to the ones you listed, visualizing (potentially high-dimensional) posteriors and learned embeddings will be really useful. So having ready access to t-sne, etc? Maybe doing some fancy automatic viz for distributions?

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eb8680 avatar eb8680 commented on August 20, 2024

A small amount of glue that would probably get us most of the tools we need (and which would be quite valuable independently of everything else): rendering matplotlib figure objects in a custom Pane type in visdom via mpld3.

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karalets avatar karalets commented on August 20, 2024

As I am writing this I am taking a crack at implementing a first version of a variational t-sne in pyro.
If I get it working, we could consider turning it into a compactified little package that can be called in a library to help visualization purposes.

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eb8680 avatar eb8680 commented on August 20, 2024

A small amount of glue that would probably get us most of the tools we need (and which would be quite valuable independently of everything else): rendering matplotlib figure objects in a custom Pane type in visdom via mpld3.

Looks like that's a thing now, awesome!

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eb8680 avatar eb8680 commented on August 20, 2024

Closing in favor of more targeted discussion in future

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