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BN Modeller

An open-source application designed to facilitate feature dependency modeling and evaluation using Bayesian Networks.

User Guide

You can obtain user guides for BN Modeller application with the following link https://digiratory.github.io/bayes_model/. It covers various aspects of using BN Modeller, including data analysis workflows, best practices, and more.

Instalation

From sources

You can install this project from sources by cloning this repository and installing it using pip:

git clone https://github.com/Digiratory/bayes_model.git && cd bayes_model
pip install .

Using PyPI

You can install this project using pip:

pip install bn_modeller

Using executable file (windows only)

You can download the latest Windows executable from the BN Modeller GitHub Releases page.

Graphviz

A Graphviz error could arise. To solve the problem install and add the Graphviz executables on your systems' PATH as follows:

Windows
  1. Install windows package from: https://graphviz.org/download/ (Linux and Mac instructions can be found here as well)
  2. Install python graphviz package
  3. Press the Windows key
  4. Type in the search box: edit environment variables for your account
  5. Select Path
  6. Click Edit… button
  7. Click New
  8. Add 'bin' folder to User path in environment variables manager (e.g: C:\Program Files (x86)\Graphviz2.38\bin)
  9. Add location dot.exe to System Path (e.g: C:\Program Files (x86)\Graphviz2.38\bin\dot.exe)
  10. Click OK and OK again

Once have done that, restart your python IDE (if it is open). If this was running in a CMD prompt (e.g. Anaconda Command prompt), restart this prompt as well to make sure the prompt finds the new environment variables.

https://pygraphviz.github.io/documentation/stable/install.html

Linux
sudo apt-get update && sudo apt-get install graphviz graphviz-dev

Launch Application

To launch the application installed with pip, run:

bn_modeller

If you have downloaded BN Modeller using the Windows executable, simply double-click the bn_modeller.exe file located in the directory.

Build

Build Executable file for Windows

  1. Install pyinstaller
  2. Execute the following command:
pyinstaller bn_modeller.exe.spec

Troubleshooting

High storage utilization on Windows 10/11

This high storage utilization probably caused by WindowsSearch Engine. To mitigate the problem you should disable the indexing of content for .sqlite files as following.

  1. Press Win to open Start Menu and type in Index.
  2. Click on Indexing Options.
  3. On this next screen, hit Advanced > (Tab) File Types. For extention .sqlite select "Index Properties Only".

Metadata

Release files for bn-modeller 1.0.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for bn-modeller 1.0.0
File Size Uploaded
bn_modeller-1.0.0.tar.gz 96.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for bn-modeller 1.0.0
File Interpreter ABI Platform
bn_modeller-1.0.0-py3-none-any.whl Python 3 none any Details

Total release size: 210.4 kB

Release files / bn_modeller-1.0.0.tar.gz

Download URL bn_modeller-1.0.0.tar.gz
Size 96.2 kB
Tags Source
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Uploaded via twine/6.1.0 CPython/3.12.9

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Signed by GitHub Actions, verified by PyPI on May 12, 2025.

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Release files / bn_modeller-1.0.0-py3-none-any.whl

Download URL bn_modeller-1.0.0-py3-none-any.whl
Size 114.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
6fd6bc556519dcebebe6dd87720e71b21ec53952aab36576cebff8ec40e637fe
BLAKE2b-256 checksum
How to use checksums
52d36f98f37c9b39f2de4af807741560be573ec7f30eb7de0d6836e3c53d34ab
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.12.9

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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on May 12, 2025.

Transparency log

Release history Release notifications | RSS feed

This release

1.0.0 This release

2 release files

0.0.10

2 release files

0.0.9

2 release files

0.0.8

2 release files

0.0.7

2 release files

0.0.6

2 release files

0.0.5

2 release files

0.0.4

2 release files

0.0.3

2 release files

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