EZtune (2.0.0)

0 users

Tunes AdaBoost, Support Vector Machines, and Gradient Boosting Machines.

http://cran.r-project.org/web/packages/EZtune

Contains two functions that are intended to make tuning supervised learning methods easy. The eztune function uses a genetic algorithm or Hooke-Jeeves optimizer to find the best set of tuning parameters. The user can choose the optimizer, the learning method, and if optimization will be based on accuracy obtained through validation error, cross validation, or resubstitution. The function eztune.cv will compute a cross validated error rate. The purpose of eztune_cv is to provide a cross validated accuracy or MSE when resubstitution or validation data are used for optimization because error measures from both approaches can be misleading.

Maintainer: Jill Lundell
Author(s): Jill Lundell [aut, cre]

License: GPL-3

Uses: ada, e1071, GA, gbm, optimx, rpart, mlbench, doParallel, knitr, rmarkdown

Released 6 months ago.


1 previous version

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of EZtune yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for EZtune on google, google scholar, r-help, r-devel.

Visit EZtune on R Graphical Manual.