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.
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-0.1.225.tar.gz
(31.7 kB
view details)
File details
Details for the file ifra-0.1.225.tar.gz.
File metadata
- Download URL: ifra-0.1.225.tar.gz
- Upload date:
- Size: 31.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d0635a86bc73ea4ce7decc1b4e6b7ac52be1a15802f673cc07ac7514cfcadfbc |
|
| MD5 | 0488207bb6f76aace40e9dc2972eeb6e |
|
| BLAKE2b-256 | 43b9d5af358b750f1d957538fdab2819fc3fc46923331a7cab463922611b50f7 |
