MLJEnsembles.jl

A package to create bagged homogeneous ensembles of machine learning models using the MLJ machine learning framework.

For combining models in more general ways, see the Composing Models section of the MLJ manual.

Installation

No installation is necessary when using MLJ, which is installed like this:

using Pkg
Pkg.add("MLJ")
using MLJ

Alternatively, for a "minimal" installation:

using Pkg
Pkg.add("MLJBase")
Pkg.add("MLJEnsembles")
using MLJBase, MLJEnsembles

In this case you will also need to load code defining an atomic model to ensemble. The easiest way to do this is run Pkg.add("MLJModels"); using MLJModels and use the @load macro. See the Loading Model Code of the MLJ manual for this and other possibilities.

Sample usage

See Data Science Tutorials.

Documentation

See the MLJ manual.