Jan

Results 241 comments of Jan

With `arviz=0.18.0` being on pypi, a fresh installation of `sbi` 0.22.0 will install `scipy` 1.13.1 and `arviz` 0.18.0, which should fix the problem. Please note that in the upcoming release...

Thanks for creating this! Relevant for #910

Update: we pinned `pre-commit=3.5.0` and require `ruff>=0.3.3`. For the moment this results in consistent code formatting it seems.

Hi @JuliaLinhart, I am not sure what is meant here. Can you please give more context?

will be relevant for #963 and the `RatioEstimator` as well @bkmi

This is solved now: We have `ConditionalEstimator` abstract base class in `neural_nets/density_estimators` that takes care of shapes and requires children to implement `loss`, `log_prob` and `sample`. `ConditionalDensityEstimator` is the class...

Is this ready for review?