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