Dimensionality Reduction and Decomposition of Undirected Graph Models and Bayesian Networks
Project description
NetDecom
NetDecom is a Python package for dimensionality reduction and decomposition in undirected graph models and Bayesian networks. The package provides efficient methods for finding the minimal local model containing a set of interested variables and implements atom decomposition for undirected graphs.
Features
- Minimal Local Model Search: Efficient algorithms for finding minimal local models that include the variables of interest in undirected graphs and directed acyclic graphs (DAGs).
- Atom Decomposition: Implements atom decomposition for undirected graph models, helping reduce the graph structure for more efficient processing and analysis.
Installation
You can install NetDecom via pip from the Python Package Index (PyPI):
pip install NetDecom
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file NetDecom-0.0.3-py3-none-any.whl.
File metadata
- Download URL: NetDecom-0.0.3-py3-none-any.whl
- Upload date:
- Size: 1.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4debf10f9561ff80c01bccc4d403671e13e9b1046f48f810521e6e2e3bcf35d8
|
|
| MD5 |
157e5abcc26f751dd13fafdfa826892e
|
|
| BLAKE2b-256 |
a3be9c6b0f09e6bc2847d56e071fdde4bd9d4ae08f26b6dfb2102887d6bf7b49
|
