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