Marbl-Python is a Python implementation of the Marbl specification for normalized representations of Markov blankets in Bayesian networks.
It provides objects and methods for serializing and hashing Marbls (Markov blankets normalized per the Marbl spec), and unordered collections of them.
Installation
To install the latest release:
pip install marbl-python
To install the latest development version:
pip install "git+https://github.com/wmayner/marbl-python@develop#egg=marbl-python"
Usage
See the API documentation.
Metadata
Release files for marbl-python 2.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| marbl-python-2.0.3.tar.gz | 5.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| marbl_python-2.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.5 kB
Release files / marbl-python-2.0.3.tar.gz
| Download URL | marbl-python-2.0.3.tar.gz |
|---|---|
| Size | 5.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / marbl_python-2.0.3-py3-none-any.whl
| Download URL | marbl_python-2.0.3-py3-none-any.whl |
|---|---|
| Size | 11.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |