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