RidgeRegressor
RidgeRegressor
A model type for constructing a ridge regressor, based on MLJScikitLearnInterface.jl, and implementing the MLJ model interface.
From MLJ, the type can be imported using
RidgeRegressor = @load RidgeRegressor pkg=MLJScikitLearnInterface
Do model = RidgeRegressor()
to construct an instance with default hyper-parameters. Provide keyword arguments to override hyper-parameter defaults, as in RidgeRegressor(alpha=...)
.
Hyper-parameters
alpha = 1.0
fit_intercept = true
copy_X = true
max_iter = 1000
tol = 0.0001
solver = auto
random_state = nothing