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stacking (version 0.2.1)

Building Predictive Models with Stacking

Description

Building predictive models with stacking which is a type of ensemble learning. Learners can be specified from those implemented in 'caret'. For more information of the package, see Nukui and Onogi (2023) .

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Version

Install

install.packages('stacking')

Monthly Downloads

234

Version

0.2.1

License

MIT + file LICENSE

Maintainer

Akio Onogi

Last Published

January 16th, 2025

Functions in stacking (0.2.1)

train_basemodel_core

Internal function called by train_basemodel
train_basemodel

Training base models
stacking_predict

Predict for new data
train_metamodel

Training a meta model based on base models
stacking_train

Training base and meta models