Package: EnsembleCV 0.8

Alireza S. Mahani

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.

Authors:Mansour T.A. Sharabiani, Alireza S. Mahani

EnsembleCV_0.8.tar.gz
EnsembleCV_0.8.tar.gz(r-4.5-noble)EnsembleCV_0.8.tar.gz(r-4.4-noble)
EnsembleCV_0.8.tgz(r-4.4-emscripten)EnsembleCV_0.8.tgz(r-4.3-emscripten)
EnsembleCV.pdf |EnsembleCV.html✨
EnsembleCV/json (API)

# Install 'EnsembleCV' in R:
install.packages('EnsembleCV', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 stars 156 downloads 5 exports 37 dependencies

Last updated 8 years agofrom:cd071beb30. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-linuxNOTENov 03 2024

Exports:ecv.loadecv.regressionecv.regression.baselearner.controlecv.regression.integrator.controlecv.save

Dependencies:bartMachinebartMachineJARsclassclicodetoolscpp11digestdoParalleldoRNGe1071EnsembleBaseforeachgbmglmnetglueigraphiteratorsitertoolskknnlatticelifecyclemagrittrMASSMatrixmissForestnnetpkgconfigproxyrandomForestRcppRcppEigenrJavarlangrngtoolsshapesurvivalvctrs