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fselector 1.4.0

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.

Versions:

  1. 1.4.0 - November 5, 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)
Show all versions (21 total)

Runtime Dependencies:

Authors:

  • Tiejun Cheng

Owners:

A4ef45e8babb68fae42e12e16362e80e

Total downloads 22,496

For this version 1,147

Show all versions (21 total)

Required Ruby Version: None

Licenses:

N/A

Gemfile:
gem 'fselector', '~> 1.4.0' = Copy to clipboard Copied!

install:
gem install fselector = Copy to clipboard Copied!

Links: