Liesel: A Probabilistic Programming Framework
Liesel is a probabilistic programming framework with a focus on semi-parametric regression. It includes:
- Liesel, a library to express statistical models as Probabilistic Graphical Models (PGMs). Through the PGM representation, the user can build and update models in a natural way.
- Goose, a library to build custom MCMC algorithms with several parameter blocks and MCMC kernels such as the No U-Turn Sampler (NUTS), the Iteratively Weighted Least Squares (IWLS) sampler, or different Gibbs samplers. Goose also takes care of the MCMC bookkeeping and the chain post-processing.
- Liesel-GAM, a modeling library built on Liesel which assists the user with the configuration of semi-parametric regression models such as Generalized Additive Models for Location, Scale and Shape (GAMLSS) with different response distributions, spline-based smooth terms and shrinkage priors.
The name "Liesel" is an homage to the Gänseliesel fountain, landmark of Liesel's birth city Göttingen.
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Release files for liesel 0.5.4
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| File | Size | Uploaded | Provenance | Actions |
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| liesel-0.5.4.tar.gz | 7.9 MB | With provenance | Details for liesel-0.5.4.tar.gz |
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| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| liesel-0.5.4-py3-none-any.whl | Python 3 | none | any | Details for liesel-0.5.4-py3-none-any.whl |
Total release size: 8.0 MB
Release files / liesel-0.5.4.tar.gz
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