EnsembleBase: Extensible Package for Parallel, Batch Training of Base Learners for Ensemble Modeling
Version 1.0.2

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.

AuthorAlireza S. Mahani, Mansour T.A. Sharabiani
Date of publication2016-09-13 22:30:52
MaintainerAlireza S. Mahani <alireza.s.mahani@gmail.com>
LicenseGPL (>= 2)
Version1.0.2
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("EnsembleBase")

Popular man pages

BaseLearner.CV.Batch.FitObj-class: Classes '"BaseLearner.CV.Batch.FitObj"' and...
make.configs: Helper Functions for Manipulating Base Learner Configurations
Regression.Batch.Fit: Batch Training, Prediction and Diagnostics of Regression Base...
Regression.CV.Fit: Cross-Validated Training and Prediction of Regression Base...
RegressionEstObj-class: Class '"RegressionEstObj"'
Regression.Integrator.Fit-methods: Generic Integrator Methods in Package 'EnsembleBase'
servo: Servo Data Set
See all...

All man pages Function index File listing

Man pages

ALL.Regression.Config-class: Classes '"KNN.Regression.Config"',...
ALL.Regression.FitObj-class: Classes '"KNN.Regression.FitObj"',...
BaseLearner.Batch.FitObj-class: Classes '"BaseLearner.Batch.FitObj"' and...
BaseLearner.Config-class: Classes '"BaseLearner.Config"', '"Regression.Config"'
BaseLearner.CV.Batch.FitObj-class: Classes '"BaseLearner.CV.Batch.FitObj"' and...
BaseLearner.CV.FitObj-class: Classes '"BaseLearner.CV.FitObj"' and...
BaseLearner.Fit-methods: Generic S4 Method for Fitting Base Learners
BaseLearner.FitObj-class: Classes '"BaseLearner.FitObj"' and '"Regression.FitObj"'
generate.partition: Utility Functions in EnsembleBase Package
Instance-class: Classes '"Instance"' and '"Instance.List"'
make.configs: Helper Functions for Manipulating Base Learner Configurations
OptionalInteger-class: Class '"OptionalInteger"'
Regression.Batch.Fit: Batch Training, Prediction and Diagnostics of Regression Base...
Regression.CV.Batch.Fit: CV Batch Training and Diagnostics of Regression Base Learners
Regression.CV.Fit: Cross-Validated Training and Prediction of Regression Base...
RegressionEstObj-class: Class '"RegressionEstObj"'
Regression.Integrator.Config-class: Classes '"Regression.Integrator.Config"',...
Regression.Integrator.Fit-methods: Generic Integrator Methods in Package 'EnsembleBase'
RegressionSelectPred-class: Class '"RegressionSelectPred"'
servo: Servo Data Set
validate-methods: ~~ Methods for Function 'validate' in Package 'EnsembleBase'...

Functions

Files

NAMESPACE
data
data/servo.rda
R
R/regression_gbm.R
R/utils.R
R/aaa.R
R/regression_nnet.R
R/integrators.R
R/regression_svm.R
R/regression_penreg.R
R/regression_knn.R
R/regression_rf.R
R/regression_bart.R
R/baselearners.R
MD5
DESCRIPTION
ChangeLog
man
man/Regression.CV.Batch.Fit.Rd
man/BaseLearner.FitObj-class.Rd
man/Regression.Integrator.Config-class.Rd
man/RegressionEstObj-class.Rd
man/BaseLearner.CV.Batch.FitObj-class.Rd
man/ALL.Regression.FitObj-class.Rd
man/make.configs.Rd
man/BaseLearner.CV.FitObj-class.Rd
man/RegressionSelectPred-class.Rd
man/BaseLearner.Fit-methods.Rd
man/Instance-class.Rd
man/OptionalInteger-class.Rd
man/ALL.Regression.Config-class.Rd
man/Regression.Integrator.Fit-methods.Rd
man/servo.Rd
man/validate-methods.Rd
man/generate.partition.Rd
man/BaseLearner.Config-class.Rd
man/Regression.CV.Fit.Rd
man/BaseLearner.Batch.FitObj-class.Rd
man/Regression.Batch.Fit.Rd
EnsembleBase documentation built on May 20, 2017, 2:57 a.m.

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