Skip to main content

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-0.1.228.tar.gz (31.7 kB view details)

Uploaded Source

File details

Details for the file ifra-0.1.228.tar.gz.

File metadata

  • Download URL: ifra-0.1.228.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

Hashes for ifra-0.1.228.tar.gz
Algorithm Hash digest
SHA256 5d5bfb8ed53298830fc0756890062881cf51e7999a31a4374198229d6e10cb81
MD5 e8d87a87e8dad6e59cc1f795879e6199
BLAKE2b-256 93b5891ff5a3910526ccbb143eec9328a9e566296dc60ba165122ca5e29dc989

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page