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cbg-ethz / bmi

Mutual information estimators and benchmark
https://cbg-ethz.github.io/bmi/
MIT License
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JointDistribution wraps and unwraps X and Y #161

Open pawel-czyz opened 5 months ago

pawel-czyz commented 5 months ago

Currently the JointDistribution wraps and unwraps X and Y samples into one array XY by concatenation and slicing.

This is suboptimal: for example, X and Y need to have the same dtype and working with continuous and categorical variables requires manual casting.

Instead, we can use JointDistribution from TFP on JAX.

pawel-czyz commented 5 months ago

This has to be implemented after #143 has been resolved.

It should be then a minor change, as there's a Split bijector in TFP on JAX.