HuberRegressor
HuberRegressor
A model type for constructing a Huber regressor, based on MLJScikitLearnInterface.jl, and implementing the MLJ model interface.
From MLJ, the type can be imported using
HuberRegressor = @load HuberRegressor pkg=MLJScikitLearnInterface
Do model = HuberRegressor()
to construct an instance with default hyper-parameters. Provide keyword arguments to override hyper-parameter defaults, as in HuberRegressor(epsilon=...)
.
Hyper-parameters
epsilon = 1.35
max_iter = 100
alpha = 0.0001
warm_start = false
fit_intercept = true
tol = 1.0e-5