SVMRegressor
SVMRegressor
A model type for constructing a epsilon-support vector regressor, based on MLJScikitLearnInterface.jl, and implementing the MLJ model interface.
From MLJ, the type can be imported using
SVMRegressor = @load SVMRegressor pkg=MLJScikitLearnInterface
Do model = SVMRegressor()
to construct an instance with default hyper-parameters. Provide keyword arguments to override hyper-parameter defaults, as in SVMRegressor(kernel=...)
.
Hyper-parameters
kernel = rbf
degree = 3
gamma = scale
coef0 = 0.0
tol = 0.001
C = 1.0
epsilon = 0.1
shrinking = true
cache_size = 200
max_iter = -1