Skip to main content

TREE-G is a library of decision trees specialized for graph data. The library is scikit compatible, and the implementation follows the paper "Decision Trees with Dynamic Graph Features"

Project description

The author of this package has not provided a project description

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

treeg-1.0.tar.gz (4.9 kB view details)

Uploaded Source

Built Distribution

treeg-1.0-py3-none-any.whl (3.6 kB view details)

Uploaded Python 3

File details

Details for the file treeg-1.0.tar.gz.

File metadata

  • Download URL: treeg-1.0.tar.gz
  • Upload date:
  • Size: 4.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for treeg-1.0.tar.gz
Algorithm Hash digest
SHA256 572e46aeff0e09048ad7288a4b8a7881d8098e50d8ce5c6e0dc383f94e129e5b
MD5 b58952c143686f09338fe9bd19eebe3f
BLAKE2b-256 007372b807ceddf62f7baf87746c322275dfece5aee3a6d97b0a196cde54c276

See more details on using hashes here.

File details

Details for the file treeg-1.0-py3-none-any.whl.

File metadata

  • Download URL: treeg-1.0-py3-none-any.whl
  • Upload date:
  • Size: 3.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for treeg-1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c294c15cb0690809a665c545b4102177561df7b51357e26a057c8816e249a89c
MD5 d60f6fc58e34e561866a3cd16da82175
BLAKE2b-256 55a7aeb67704b978331be07c94e15cdaf989ca038aea7135e422990829c70229

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