This package provides a set of Python-based tools for Bayesian data analysis which are simple to use, allowing them to be applied quickly and easily.
Inference-tools is not a framework for Bayesian modelling (e.g. like PyMC), but instead provides tools to sample from user-defined models using MCMC, and to analyse and visualise the sampling results.
Features
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Implementations of MCMC algorithms like Gibbs sampling and Hamiltonian Monte-Carlo for sampling from user-defined posterior distributions.
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Density estimation and plotting tools for analysing and visualising inference results.
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Gaussian-process regression and optimisation.
Gibbs Sampling  |
Hamiltonian Monte-Carlo  |
Density estimation  |
Matrix plotting  |
Highest-density intervals  |
GP regression  |
Installation
inference-tools is available from PyPI, so can be easily installed using pip as follows:
pip install inference-tools
Documentation
Full documentation is available at inference-tools.readthedocs.io.
Citing
If you use inference-tools in your work, please cite it using the Zenodo DOI 10.5281/zenodo.1423551. Citation metadata is also available via the "Cite this repository" button on GitHub.
1 maintainer
Metadata
1 maintainer
Release files for inference-tools 0.16.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| inference_tools-0.16.0.tar.gz | 5.9 MB | With provenance | Details for inference_tools-0.16.0.tar.gz |
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| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| inference_tools-0.16.0-py3-none-any.whl | Python 3 | none | any | Details for inference_tools-0.16.0-py3-none-any.whl |
Total release size: 6.0 MB
Release files / inference_tools-0.16.0.tar.gz
| Download URL | inference_tools-0.16.0.tar.gz |
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| Size | 5.9 MB |
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| Tags | Python 3 |
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