tkonopka/mlensemble: Ensembles of Machine Learning Models

Ensembles of heterogeneous machine learning models can provide more robust predictions than individual models. The package provides a framework to create ensembles via composition of already-trained models, to attach custom pre-processing and post-processing functions to each model and to ensembles, and to calibrate ensembles. The framework supports regression and multi-class classification.

install.packages("remotes")
remotes::install_github("tkonopka/mlensemble")