Project description

MUFS

Multi Feature Selection

Fast Correlation-Based Filter

Feature Selection for High-Dimensional Data : A Fast Correlation-Based Filter Solution. / Yu, Lei; Liu, Huan.

Proceedings, Twentieth International Conference on Machine Learning. ed. / T. Fawcett; N. Mishra. 2003. p. 856-863 (Proceedings, Twentieth International Conference on Machine Learning; Vol. 2).

Correlation-based Feature Selection

Hall, M. A. (1999), 'Correlation-based Feature Selection for Machine Learning'.

Project details

These details have not been verified by PyPI

Project links

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Development Status
- 4 - Beta
Intended Audience
- Science/Research
License
- OSI Approved :: MIT License
Natural Language
- English
Programming Language
- Python :: 3.8
Topic
- Scientific/Engineering :: Artificial Intelligence

Release history Release notifications | RSS feed

0.1.3

May 19, 2022

0.1.2

Oct 28, 2021

This version

0.1.1

Aug 2, 2021

Download files

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

Source Distribution

MUFS-0.1.1.tar.gz (11.6 kB view hashes)

Uploaded Aug 2, 2021 Source

Built Distribution

MUFS-0.1.1-py3-none-any.whl (12.4 kB view hashes)

Uploaded Aug 2, 2021 Python 3

Hashes for MUFS-0.1.1.tar.gz

Hashes for MUFS-0.1.1.tar.gz
Algorithm	Hash digest
SHA256	`462e3ba76e85c01eaf1ab5bbc82a1040278b0b027db0d92fdb4b9ad7f11f41b4`
MD5	`da9d9052ac19ed84b5cef7ea5a9c47cf`
BLAKE2b-256	`5355367a765824f1eff92eb47e0e0f3d9902788fdd227f75ae0adfa77f88956d`

Hashes for MUFS-0.1.1-py3-none-any.whl

Hashes for MUFS-0.1.1-py3-none-any.whl
Algorithm	Hash digest
SHA256	`5ce1aefd723568f8a59ce2a545d6e6a01e08bb091ab1b0f041f00aacdce13f15`
MD5	`745c13c44694ca557fd012420af72d67`
BLAKE2b-256	`2b5fdec4e7549766054851a22c8e00b6c328410fb4fc57b9a4be1c4b63278204`