SVMLinearRegressor
SVMLinearRegressor
A model type for constructing a linear support vector regressor, based on MLJScikitLearnInterface.jl, and implementing the MLJ model interface.
From MLJ, the type can be imported using
SVMLinearRegressor = @load SVMLinearRegressor pkg=MLJScikitLearnInterface
Do model = SVMLinearRegressor()
to construct an instance with default hyper-parameters. Provide keyword arguments to override hyper-parameter defaults, as in SVMLinearRegressor(epsilon=...)
.
Hyper-parameters
epsilon = 0.0
tol = 0.0001
C = 1.0
loss = epsilon_insensitive
fit_intercept = true
intercept_scaling = 1.0
dual = true
random_state = nothing
max_iter = 1000