ANUBIS - Astrophysical Nonparametrically Upgraded Bayesian Inference of Subpopulations
ANUBIS implements the inference of a multivariate probability density given a set of samples and an (incomplete) parametric model. The Heterogeneous Mixture Model, or HMM, is a finite mixture of parametric models augmented with DPGMM to capture the eventual features missed by the parametric model.
To install this code, run python setup.py install. In some cases (like on clusters), it may happen that you do not have the permission to write in the default installation directory. In this case, run python setup.py install --user.
This code makes use of FIGARO. Be sure of having it installed and updated. DO NOT USE pip install figaro, since it installs an homonymous package.
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Release files for anubis 0.2.1
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| File | Size | Uploaded | Provenance | Actions |
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Release files / anubis-0.2.1.tar.gz
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