Banquo
a Python package for building Bayesian Nonparanormal models
Features
- Array-API standard
- Bayesian inference
- Semiparametric Bernstein estimator for cumulative distribution function and probability density function
- Nonparanormal model with Bernstein marginals
- Discrete stochastic heat equation correlation function
See the Banquo architecture below:
Requirements
Installation
You can install Banquo via pip from PyPI:
pip install banquo
Usage
Please see the documentation at Read the Docs for details.
Contributing
Contributions are very welcome. To learn more, see the Contributor Guide.
License
Distributed under the terms of the MIT license, Banquo is free and open source software.
Issues
If you encounter any problems, please file an issue along with a detailed description.
Credits
This project was generated from Dinkin Flicka Cookiecutter template.
Metadata
Release files for banquo 0.7.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| banquo-0.7.1.tar.gz | 18.3 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| banquo-0.7.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 37.5 kB
Release files / banquo-0.7.1.tar.gz
| Download URL | banquo-0.7.1.tar.gz |
|---|---|
| Size | 18.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Release files / banquo-0.7.1-py3-none-any.whl
| Download URL | banquo-0.7.1-py3-none-any.whl |
|---|---|
| Size | 19.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Security for banquo 0.7.1
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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