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