FROSTY
Python Package for the FROSTY algorithm by Joshua Bang and Sang-Yun Oh
Bang, J., Oh, S.-Y. (2023). FROSTY: A High-Dimensional Scale-Free Bayesian Network Learning Method. Journal of Data Science. [JDS]
Installation
Installation of scikit-sparse depends on suite-sparse library, which can be installed via:
# mac
brew install suite-sparse
# debian
sudo apt-get install libsuitesparse-dev
Then install FROSTY from PyPI:
pip install frosty-dag
Example (scale-free graph, p=50, n=1000)
- True and estimated graphs
- Confusion matrix
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
frosty-dag-0.0.2.tar.gz
(14.7 kB
view details)
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 frosty-dag-0.0.2.tar.gz.
File metadata
- Download URL: frosty-dag-0.0.2.tar.gz
- Upload date:
- Size: 14.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
04bc340064deaba45061c264602b0745ac8634324d5e32f49f79279f285997fa
|
|
| MD5 |
eae634df17759170075a1a84fa3ae161
|
|
| BLAKE2b-256 |
97f10f2505a241363d56a16fc4082103a81cc4e058e7885367933229d0bdf969
|
File details
Details for the file frosty_dag-0.0.2-py3-none-any.whl.
File metadata
- Download URL: frosty_dag-0.0.2-py3-none-any.whl
- Upload date:
- Size: 15.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
334f9dec619e70c3588e0d96732fabb501ea0ff5ccd181d2210fb42f58a2b21e
|
|
| MD5 |
c8c306006326a5bcaf1f28e81b4da470
|
|
| BLAKE2b-256 |
cb08d44b7d2c5f5b646c16cf261ee780e9a4089006febc1b25089ab705e58f8e
|