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A Python toolkit for (simulation-based) inference and the mechanization of science.

License: BSD 3-Clause "New" or "Revised" License

Python 100.00%
deep-learning inference likelihood-free simulation-based-inference

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awehenkel avatar joerihermans avatar volodimirbegy avatar

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hypothesis's Issues

Multiple simulator parameters and ratio estimator inference

This is more of a question than an issue, and it might very well be too early to ask, since the package is still in alpha stage, but I was wondering whether the current implementation can be used for inferring multiple simulator parameters. All examples in the notebooks (which are very clear, btw!) seem to focus on the inference of a single parameter.

Anyway, thanks a lot for what's starting to look like a really clean and interesting package!

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