[WIP] Mutual info based feature selection #19
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arcondello
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Apr 4, 2024
arcondello
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Apr 8, 2024
arcondello
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Apr 11, 2024
requirements.txt
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| scikit-learn==1.2.0; python_version >= '3.8' | ||
| scikit-learn==1.0.2; python_version < '3.8' | ||
| scikit-learn==1.2.1 | ||
| scipy>=1.7.3 |
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Rule of thumb, we want the versions in requirements.txt to be fixed for reproducibility, but as wide as possible in setup.cfg for flexibility.
| dwave.plugins | ||
| dwave.plugins.sklearn | ||
| python_requires = >=3.7 | ||
| python_requires = >=3.8 |
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We should note this in the release notes. E.g. Drop support for Python 3.7. or Upgrade your python to 3.8+. We no longer support python 3.7 and below..
added 7 commits
April 16, 2024 15:39
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Adding another algorithm for feature selection based on mutual information. The algorithms are based on these publications:
[1] Peng, F. Long, and C. Ding. Feature selection based on mutual information criteria of max-dependency,
max-relevance, and min-redundancy. IEEE Transactions on pattern analysis and machine intelligence,
27(8):1226–1238, 2005.
[2] X. V. Nguyen, J. Chan, S. Romano, and J. Bailey. Effective global approaches for mutual information
based feature selection. In Proceedings of the 20th ACM SIGKDD international conference on
Knowledge discovery and data mining, pages 512–521. ACM, 2014.