Welcome to the fglib2 package!
Factor Graphs are a powerful tool for probabilistic machine learning. Unfortunately, there are no modern libraries implementing them. This package improves the original fglib package by adding a richer documentation and a more refined implementation.
Install the package via
pip install fglib2
Read the docs here.
Metadata
Release files for fglib2 1.1.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fglib2-1.1.5.tar.gz | 66.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fglib2-1.1.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 75.5 kB
Release files / fglib2-1.1.5.tar.gz
| Download URL | fglib2-1.1.5.tar.gz |
|---|---|
| Size | 66.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/4.0.2 CPython/3.11.7
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Release files / fglib2-1.1.5-py3-none-any.whl
| Download URL | fglib2-1.1.5-py3-none-any.whl |
|---|---|
| Size | 8.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/4.0.2 CPython/3.11.7
|