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Ricardo Montañana 96098e9fe1 first try with sklearn mi
2021-06-02 01:46:21 +02:00
.github/workflows
Add codeql analysis amd lgtm badge
2021-05-25 17:43:01 +02:00
mfs
first try with sklearn mi
2021-06-02 01:46:21 +02:00
.coveragerc
Complete implementation of both algorithms
2021-05-25 11:59:24 +02:00
.gitignore
Implement Metric methods and tests
2021-05-23 20:32:33 +02:00
.pre-commit-config.yaml
Complete implementation of both algorithms
2021-05-25 11:59:24 +02:00
LICENSE
Initial commit
2021-05-12 10:24:32 +02:00
Makefile
Complete implementation of both algorithms
2021-05-25 11:59:24 +02:00
pyproject.toml
Stub project
2021-05-12 12:53:01 +02:00
README.md
Add max_features to selection
2021-06-01 11:30:52 +02:00
requirements.txt
Stub project
2021-05-12 12:53:01 +02:00
setup.py
Complete implementation of both algorithms
2021-05-25 11:59:24 +02:00

README.md

CI Codacy Badge Language grade: Python

MFS

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'.

Description
Implementation of Fast Correlation-Based Filter and Correlation-based Feature Selection
cfsfcbfiwss
Readme MIT 177 KiB
Languages
Python 97.3%
Makefile 2.7%