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'.
IWSS
Based on: P. Bermejo, J. A. Gamez and J. M. Puerta, "Incremental Wrapper-based subset Selection with replacement: An advantageous alternative to sequential forward selection," 2009 IEEE Symposium on Computational Intelligence and Data Mining, 2009, pp. 367-374, doi: 10.1109/CIDM.2009.4938673.
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Metadata
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Release files for MUFS 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mufs-1.0.0.tar.gz | 13.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mufs-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 27.7 kB
Release files / mufs-1.0.0.tar.gz
| Download URL | mufs-1.0.0.tar.gz |
|---|---|
| Size | 13.3 kB |
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Release files / mufs-1.0.0-py3-none-any.whl
| Download URL | mufs-1.0.0-py3-none-any.whl |
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| Size | 14.4 kB |
| Tags | Python 3 |
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