Doctorado-ML/mufs

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Ricardo Montañana 7677aaf94b

Fix mistake in between features merit

2021-06-04 01:48:15 +02:00

.github/workflows

Add codeql analysis amd lgtm badge

2021-05-25 17:43:01 +02:00

Fix mistake in between features merit

2021-06-04 01:48:15 +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

balance-scale.arff

arf and csv test

2021-06-03 23:33:54 +02:00

balance-scale.csv

arf and csv test

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k.py

Fix mistake in between features merit

2021-06-04 01:48:15 +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

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README.md

Add max_features to selection

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requirements.txt

Stub project

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setup.py

Complete implementation of both algorithms

2021-05-25 11:59:24 +02:00

README.md

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'.