RidgeCVRegressor
RidgeCVRegressor
A model type for constructing a ridge regressor with built-in cross-validation, based on MLJScikitLearnInterface.jl, and implementing the MLJ model interface.
From MLJ, the type can be imported using
RidgeCVRegressor = @load RidgeCVRegressor pkg=MLJScikitLearnInterface
Do model = RidgeCVRegressor()
to construct an instance with default hyper-parameters. Provide keyword arguments to override hyper-parameter defaults, as in RidgeCVRegressor(alphas=...)
.
Hyper-parameters
alphas = (0.1, 1.0, 10.0)
fit_intercept = true
scoring = nothing
cv = 5
gcv_mode = nothing
store_cv_values = false