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-0.1.98.tar.gz
(24.3 kB
view details)
File details
Details for the file ifra-0.1.98.tar.gz
.
File metadata
- Download URL: ifra-0.1.98.tar.gz
- Upload date:
- Size: 24.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 219e5c1b7110e074cfc89992213dd729a358a85a7e111c9882974a1e0ae58cba |
|
MD5 | d4e815c87d85ba9140583571d19ee3b8 |
|
BLAKE2b-256 | 9585d14bb7bbb3c57532415c231c52dc0e6dbcd78d1874849b2d261778672da4 |