EnsembleCV: Extensible Package for Cross-Validation-Based Integration of Base Learners

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.

Getting started

Package details

AuthorMansour T.A. Sharabiani, Alireza S. Mahani
MaintainerAlireza S. Mahani <alireza.s.mahani@gmail.com>
LicenseGPL (>= 2)
Version0.8
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("EnsembleCV")

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EnsembleCV documentation built on May 1, 2019, 9:12 p.m.