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fselector 0.6.0

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.

Versiones:

  1. 1.4.0 - November 05, 2012 (50 KB)
  2. 1.3.1 - May 31, 2012 (50 KB)
  3. 1.3.0 - May 24, 2012 (40 KB)
  4. 1.2.0 - May 21, 2012 (40 KB)
  5. 1.1.0 - May 15, 2012 (40 KB)
  6. 0.6.0 - April 19, 2012 (30 KB)
Mostrar todas las versiones (21 total)

dependencias de Runtime (1):

Propietarios:

Autores:

  • Tiejun Cheng

SHA 256 checksum:

24b694be8d58d14d39b0cd0a62894144728161b826d1d560a59f22587b4376f8

Total de descargas 44.344

Para esta versión 2.084

Gemfile:
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Licencia:

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Versión de Ruby requerida: Ninguno

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