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fselector

v1.4.0RubyGems· Ruby

FSelector is a Ruby gem that aims to integrate various feature selection algorithms and related functions into one single package. Welcome to contact me (need47@gmail.com) if you'd like to contribute your own algorithms or report a bug. FSelector allows user to perform feature selection by using either a single algorithm or an ensemble of multiple algorithms, and other common tasks including normalization and discretization on continuous data, as well as replace missing feature values with certain criterion. FSelector acts on a full-feature data set in either CSV, LibSVM or WEKA file format and outputs a reduced data set with only selected subset of features, which can later be used as the input for various machine learning softwares such as LibSVM and WEKA. FSelector, as a collection of filter methods, does not implement any classifier like support vector machines or random forest.

The verdict
Abandoned. Last published 13 years ago. No recent activity — look for a maintained alternative.
No recent activity — look for a maintained alternative.
Live from the RubyGems registry · derived rules, not AI
How it scores
MaintenanceAbandoned
PopularityNiche
SecurityClean
LicenseUnknown
DepsZero deps
Maintenance
Last published 13 years ago.
Popularity
7 downloads / week
Security
No known advisories for this version (OSV).
License
No license declared.
Dependencies
No runtime dependencies
Recent releases
  • 1.4.013 years ago
  • 1.3.114 years ago
  • 1.3.014 years ago
  • 1.2.014 years ago
  • 1.1.014 years ago
  • 1.0.114 years ago
  • 1.0.014 years ago
  • 0.9.014 years ago
fselector — FSelector is a Ruby gem that aims to integrate various feature selection algorithms and related functions into one single package. Welcome to contact me (need47@gmail.com) if you'd like to contribute your own algorithms or report a bug. FSelector allows user to perform feature selection by using either a single algorithm or an ensemble of multiple algorithms, and other common tasks including normalization and discretization on continuous data, as well as replace missing feature values with certain criterion. FSelector acts on a full-feature data set in either CSV, LibSVM or WEKA file format and outputs a reduced data set with only selected subset of features, which can later be used as the input for various machine learning softwares such as LibSVM and WEKA. FSelector, as a collection of filter methods, does not implement any classifier like support vector machines or random forest. (Ruby / RubyGems) · Modules