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EZtune  

Tunes AdaBoost, Elastic Net, Support Vector Machines, and Gradient Boosting Machines
View on CRAN: Click here


Download and install EZtune package within the R console
Install from CRAN:
install.packages("EZtune")

Install from Github:
library("remotes")
install_github("cran/EZtune")

Install by package version:
library("remotes")
install_version("EZtune", "3.1.1")



Attach the package and use:
library("EZtune")
Maintained by
Jill Lundell
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-10-14
Latest Update: 2021-12-10
Description:
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.
How to cite:
Jill Lundell (2018). EZtune: Tunes AdaBoost, Elastic Net, Support Vector Machines, and Gradient Boosting Machines. R package version 3.1.1, https://cran.r-project.org/web/packages/EZtune
Previous versions and publish date:
1.0.0 (2018-10-14 18:50), 2.0.0 (2019-06-29 06:20), 3.0.0 (2020-11-26 00:10)
Other packages that cited EZtune R package
View EZtune citation profile
Other R packages that EZtune depends, imports, suggests or enhances
Functions, R codes and Examples using the EZtune R package
Some associated functions: eztune . eztune_cv . lichen . lichenTest . mullein . mulleinTest . predict.eztune . 
Some associated R codes: ada_bin.R . ada_bin_ga.R . cv_tests.R . dummy.R . en_bin.R . en_bin_ga.R . en_reg.R . en_reg_ga.R . eztune.R . eztune_cv.R . findn.R . gbm_bin.R . gbm_bin_ga.R . gbm_reg.R . gbm_reg_ga.R . lichen.R . lichenTest.R . loss.R . mullein.R . mulleinTest.R . predict_eztune.R . svm_bin.R . svm_bin_ga.R . svm_reg.R . svm_reg_ga.R .  Full EZtune package functions and examples
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