SVMNuRegressor
SVMNuRegressor
A model type for constructing a nu-support vector regressor, based on MLJScikitLearnInterface.jl, and implementing the MLJ model interface.
From MLJ, the type can be imported using
SVMNuRegressor = @load SVMNuRegressor pkg=MLJScikitLearnInterface
Do model = SVMNuRegressor()
to construct an instance with default hyper-parameters. Provide keyword arguments to override hyper-parameter defaults, as in SVMNuRegressor(nu=...)
.
Hyper-parameters
nu = 0.5
C = 1.0
kernel = rbf
degree = 3
gamma = scale
coef0 = 0.0
shrinking = true
tol = 0.001
cache_size = 200
max_iter = -1