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fselector 0.4.2

FSelector is a Ruby gem that aims to integrate various feature selection/ranking 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 including LibSVM and WEKA. FSelector, itself, does not implement any of the machine learning algorithms such as support vector machines and random forest.

Versions:

  1. 1.4.0 - November 05, 2012 (46.5 KB)
  2. 1.3.1 - May 31, 2012 (46 KB)
  3. 1.3.0 - May 24, 2012 (44.5 KB)
  4. 1.2.0 - May 21, 2012 (43 KB)
  5. 1.1.0 - May 15, 2012 (41 KB)
  6. 0.4.2 - April 11, 2012 (36.5 KB)
Show all versions (21 total)

Owners:

Authors:

  • Tiejun Cheng

SHA 256 checksum:

aa09ec005610c423f2634e9bb646badd074080c5fb3be6c007937d2cb39d81c9

Total downloads 44,258

For this version 2,075

Gemfile:
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install:
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Licenses:

N/A

Required Ruby Version: None

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