| Linux | Coverage | Documentation |
|---|---|---|
 |
 |
 |
A package for wrapping iterative models provided by the MLJ machine learning framework in a control strategy.
Builds on the generic iteration control tool IterationControl.jl.
Included as part of MLJ installation.
Alternatively, for a "minimal" installation:
using Pkg
Pkg.add("MLJBase")
Pkg.add("MLJIteration")
Pkg.add("MLJModels") # to load modelsAssuming MLJ is installed:
Pkg.add("EvoTrees")
using MLJ
X, y = make_moons(1000, rng=123)
EvoTreeClassifier = @load EvoTreeClassifier verbosity=0
iterated_model = IteratedModel(model=EvoTreeClassifier(rng=123, η=0.005),
resampling=Holdout(rng=123),
measures=log_loss,
controls=[Step(5),
Patience(2),
NumberLimit(100)],
retrain=true)
mach = machine(iterated_model, X, y) |> fit!;See the Controlling Iterative Models section of the MLJ manual.