Skip to main content

Library for making Weka algorithms available within scikit-learn. Relies on the python-weka-wrapper3 library.

Project description

The sklearn-weka-plugin library integrates Weka algorithms in scikit-learn using Python 3. It makes use of the python-weka-wrapper3 library for handling the Java Virtual Machine.

Examples can be found at:

https://github.com/fracpete/sklearn-weka-plugin-examples

Changelog

0.0.3 (2021-10-26)

  • added support for generating data via Weka’s data generators

0.0.2 (2021-04-12)

  • requiring python-weka-wrapper3 version 0.2.1 at least in order to offer pickle support

0.0.1 (2021-03-28)

  • initial release

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

sklearn-weka-plugin-0.0.3.tar.gz (22.2 kB view details)

Uploaded Source

File details

Details for the file sklearn-weka-plugin-0.0.3.tar.gz.

File metadata

  • Download URL: sklearn-weka-plugin-0.0.3.tar.gz
  • Upload date:
  • Size: 22.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for sklearn-weka-plugin-0.0.3.tar.gz
Algorithm Hash digest
SHA256 d43a73969a8ceaed70bf66f9cabe8d27462397e1436ef467b473e51c331db427
MD5 c6b1b42a80641118b7eda9fcbd788c56
BLAKE2b-256 b7d6138ad8ee93b5f1715f9fa55a4518a50d10fdf4da538493d1f2ed02521d97

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