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Ricardo Montañana 17d44080f5 Complete implementation of both algorithms 
Check results
Complete coverage tests
2021-05-25 11:59:24 +02:00
.github/workflows
Stub project
2021-05-12 12:53:01 +02:00
mfs
Complete implementation of both algorithms
2021-05-25 11:59:24 +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
Rename Project and first working version
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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

MFS

Multi Feature Selection

Compute Fast Fast Correlation Based Filter Yu, L. and Liu, H.; Feature Selection for High-Dimensional Data: A Fast Correlation Based Filter Solution,Proc. 20th Intl. Conf. Mach. Learn. (ICML-2003)

and

Correlated Feature Selection as in "Correlation-based Feature Selection for Machine Learning" by Mark Andrew Hall

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