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EnsembleCV
View on CRAN: Click
here
Download and install EnsembleCV package within the R console
Install from CRAN:
install.packages("EnsembleCV")
Install from Github:
library("remotes")
install_github("cran/EnsembleCV")
Install by package version:
library("remotes")
install_version("EnsembleCV", "0.8")
Attach the package and use:
library("EnsembleCV")
Maintained by
Alireza S. Mahani
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-11-26
Latest Update: 2016-09-13
Description:
Extends the base classes and methods of EnsembleBase package for cross-validation-based integration of base learners. Default implementation calculates average of repeated CV errors, and selects the base learner / configuration with minimum average error. The package takes advantage of the file method provided in EnsembleBase package for writing estimation objects to disk in order to circumvent RAM bottleneck. Special save and load methods are provided to allow estimation objects to be saved to permanent files on disk, and to be loaded again into temporary files in a later R session. The package can be extended, e.g. by adding variants of the current implementation.
How to cite:
Alireza S. Mahani (2014). EnsembleCV: Extensible Package for Cross-Validation-Based Integration of Base Learners. R package version 0.8, https://cran.r-project.org/web/packages/EnsembleCV. Accessed 02 Feb. 2025.
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imports, suggests or enhances
Complete documentation for EnsembleCV
Functions, R codes and Examples using
the EnsembleCV R package
Some associated functions: Regression.Select.MinAvgErr.Config-class . Regression.Select.MinAvgErr.FitObj-class . ecv.regression.baselearner.control . ecv.regression . ecv.save . plot.ecv.regression .
Some associated R codes: aaa.R . ecv.R . integrator_regression_select_minavgerr.R . integrator_regression_select_minerr.R . Full EnsembleCV package functions and examples
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