OpenBayes is a library that allows users to easily create a bayesian network and perform inference on it. It is mainly inspired from the Bayes Net Toolbox (BNT) which is available for MatLAB, but uses python as a base language which provides many benefits : fast execution, portability and ease to use and maintain. Any inference engine can be implemented by inheriting a base class. In the same way, new distributions can be added to the package by simply defining the data contained in the distribution and some basic probabilistic operations.
The project is mature enough to be used for static bayesian networks and we are currently developping the dynamical aspect.
1 maintainer
Metadata
1 maintainer
Release files for OpenBayes 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| OpenBayes-0.1.0.tar.gz | 38.4 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| OpenBayes-0.1.0.win32.exe | Details |
Total release size: 148.1 kB
Release files / OpenBayes-0.1.0.tar.gz
| Download URL | OpenBayes-0.1.0.tar.gz |
|---|---|
| Size | 38.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
724ff167f0ebda3fbe16d30f35566d3d59227c11ecbf1ea4d57d467f8f38ace1
|
|
BLAKE2b-256 checksum How to use checksums |
b019727c1b39066592eb55d33c768bfa1cff2d1ae8f2537ff8abb2c8ef2f7a5c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / OpenBayes-0.1.0.win32.exe
| Download URL | OpenBayes-0.1.0.win32.exe |
|---|---|
| Size | 109.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1f3174f426c84211ea40f2ccff9d3b623b5b1123feb648a879666a498ee9ab22
|
|
BLAKE2b-256 checksum How to use checksums |
5679359806a764e0c2fee69c1814184cf7bfc9484bbe83e787dc508004c2407b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for OpenBayes 0.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
