Refactor priors #311
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This was referenced Oct 15, 2024
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dweindl
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Dec 11, 2024
Introduces `Prior` and `Distribution` classes for handling PEtab-specific prior distributions, and (PEtab-version-invariant) univariate probability distributions. Supports sampling from them, and evaluating negative log-priors (#312). Later on, this can be extended to noise models for measurements and computing loglikelihoods. This also adds a notebook demonstrating the various prior options which are a common source confusion. Closes #311. :eyes: notebook: https://petab--329.org.readthedocs.build/projects/libpetab-python/en/329/example/distributions.html
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It would be more convenient to introduce some
class Priorfor dealing with parameter priors than the current tuples. Those instances should also make it easy to evaluate the prior.EDIT: Rather a
class Distribution. Refactoringsample_from_priorwill be a good starting point.The text was updated successfully, but these errors were encountered: