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