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EnsembleBase
View on CRAN: Click
here
Download and install EnsembleBase package within the R console
Install from CRAN:
install.packages("EnsembleBase")
Install from Github:
library("remotes")
install_github("cran/EnsembleBase")
Install by package version:
library("remotes")
install_version("EnsembleBase", "1.0.2")
Attach the package and use:
library("EnsembleBase")
Maintained by
Alireza S. Mahani
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-01-05
Latest Update: 2016-09-13
Description:
Extensible S4 classes and methods for batch training of regression and classification algorithms such as Random Forest, Gradient Boosting Machine, Neural Network, Support Vector Machines, K-Nearest Neighbors, Penalized Regression (L1/L2), and Bayesian Additive Regression Trees. These algorithms constitute a set of 'base learners', which can subsequently be combined together to form ensemble predictions. This package provides cross-validation wrappers to allow for downstream application of ensemble integration techniques, including best-error selection. All base learner estimation objects are retained, allowing for repeated prediction calls without the need for re-training. For large problems, an option is provided to save estimation objects to disk, along with prediction methods that utilize these objects. This allows users to train and predict with large ensembles of base learners without being constrained by system RAM.
How to cite:
Alireza S. Mahani (2015). EnsembleBase: Extensible Package for Parallel, Batch Training of Base Learners for Ensemble Modeling. R package version 1.0.2, https://cran.r-project.org/web/packages/EnsembleBase
Previous versions and publish date:
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Other R packages that EnsembleBase depends,
imports, suggests or enhances
Functions, R codes and Examples using
the EnsembleBase R package
Some associated functions: ALL.Regression.Config-class . ALL.Regression.FitObj-class . BaseLearner.Batch.FitObj-class . BaseLearner.CV.Batch.FitObj-class . BaseLearner.CV.FitObj-class . BaseLearner.Config-class . BaseLearner.Fit-methods . BaseLearner.FitObj-class . Instance-class . OptionalInteger-class . Regression.Batch.Fit . Regression.CV.Batch.Fit . Regression.CV.Fit . Regression.Integrator.Config-class . Regression.Integrator.Fit-methods . RegressionEstObj-class . RegressionSelectPred-class . generate.partition . make.configs . servo . validate-methods .
Some associated R codes: aaa.R . baselearners.R . integrators.R . regression_bart.R . regression_gbm.R . regression_knn.R . regression_nnet.R . regression_penreg.R . regression_rf.R . regression_svm.R . utils.R . Full EnsembleBase package functions and examples
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