RubyGems Navigation menu

fselector 0.8.1

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 such as LibSVM and WEKA. FSelector, as a collection of filter methods, does not implement any classifier like support vector machines or random forest.

版本列表:

  1. 1.4.0 - November 05, 2012 (46.5 KB)
  2. 1.3.1 - May 31, 2012 (46.0 KB)
  3. 1.3.0 - May 24, 2012 (44.5 KB)
  4. 1.2.0 - May 21, 2012 (43.0 KB)
  5. 1.1.0 - May 15, 2012 (41.0 KB)
  6. 0.8.1 - April 23, 2012 (32.5 KB)
顯示所有版本(共 21)

Runtime 相依性套件 (1):

作者:

  • Tiejun Cheng

擁有者:

A4ef45e8babb68fae42e12e16362e80e

SHA 256 checksum:

d6599a17384f0dc11f2fbb9e87e465847f9d9e47946baa3bf44cab072cb3fd4b

總下載次數 41,667

這個版本 1,940

Gemfile:
= Copy to clipboard Copied!

安裝:
=

Licenses:

N/A

Required Ruby Version: None

相關連結: