inference-tools
This package provides a set of Python-based tools for Bayesian data analysis which are simple to use, allowing them to 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.
1 maintainer
Release files for inference-tools 0.13.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| inference-tools-0.13.0.tar.gz | 5.9 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| inference_tools-0.13.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.0 MB
Release files / inference-tools-0.13.0.tar.gz
| Download URL | inference-tools-0.13.0.tar.gz |
|---|---|
| Size | 5.9 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / inference_tools-0.13.0-py3-none-any.whl
| Download URL | inference_tools-0.13.0-py3-none-any.whl |
|---|---|
| Size | 77.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.6
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