Interpretable Federated Rule Algorithm
Project description
permalink: /docs/index.html
The complete documentation is available at https://advestis.github.io/ifra/
Interpretable Federated Rule Algorithm
This algorithm generates an interpretable explaining ruleset based on a target Y and features X through a federated learning, where each node generates a ruleset from a single decision tree.
Project details
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 Distribution
ifra-0.1.233.tar.gz
(32.2 kB
view details)
File details
Details for the file ifra-0.1.233.tar.gz.
File metadata
- Download URL: ifra-0.1.233.tar.gz
- Upload date:
- Size: 32.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
de44e6bcc0001d21425299caeea4067f9bf3a4fc1c13f172ba4cdb3543224316
|
|
| MD5 |
29d311297e28c36ec66318e4a1113703
|
|
| BLAKE2b-256 |
fade2d03097e748116de7f7b9410e91415052deb5b47866270b887ed2aaab1a9
|