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-0.1.169.tar.gz
(2.4 kB
view details)
File details
Details for the file ifra-0.1.169.tar.gz
.
File metadata
- Download URL: ifra-0.1.169.tar.gz
- Upload date:
- Size: 2.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2b72cba94d8f66e7703da0bff688d4c0ccc3ff6036d881d4d929a8a7d2acbbf8 |
|
MD5 | d51f6247c10a4379250c584d4994fe83 |
|
BLAKE2b-256 | 4a37ea29dee8fadfa20e7a0608805f3b154152d80ee434e80c469f82b498cf9f |