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fselector 1.1.0

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)
顯示所有版本(共 21)

Runtime 相依性套件 (1):

擁有者:

作者:

  • Tiejun Cheng

SHA 256 checksum:

4b94a7e212bde9687f3e08d1f0c55000f738a7b1c4bf8185e95c5d571b41f697

總下載次數 44,129

這個版本 2,036

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= 複製 已複製

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