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