sramirez / spark-infotheoretic-feature-selection

This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.

Date Created 2015-04-23 (9 years ago)

Commits 53 (last one 5 years ago)

Stargazers 134 (0 this week)

Watchers 19 (0 this week)

Forks 46

License apache-2.0

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RepositoryStats indexes 586,254 repositories, of these sramirez/spark-infotheoretic-feature-selection is ranked #237,997 (59th percentile) for total stargazers, and #116,404 for total watchers. Github reports the primary language for this repository as Scala, for repositories using this language it is ranked #927/1,986.

sramirez/spark-infotheoretic-feature-selection is also tagged with popular topics, for these it's ranked: spark (#290/536)

Other Information

sramirez/spark-infotheoretic-feature-selection has 2 open pull requests on Github, 6 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 3 open issues and 9 closed issues.

There have been 1 release, the latest one was published on 2017-06-02 (7 years ago) with the name InfoThSelector for Spark 2.1.0 + unit tests.

Homepage URL: http://sci2s.ugr.es/BigData

All Topics

mrmr brown spark filter feature-selection

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updated: 2024-09-07 @ 09:02pm, id: 34466656 / R_kgDOAg3rYA