MultiTaskElasticNetRegressor

MultiTaskElasticNetRegressor

A model type for constructing a multi-target elastic net regressor, based on MLJScikitLearnInterface.jl, and implementing the MLJ model interface.

From MLJ, the type can be imported using

MultiTaskElasticNetRegressor = @load MultiTaskElasticNetRegressor pkg=MLJScikitLearnInterface

Do model = MultiTaskElasticNetRegressor() to construct an instance with default hyper-parameters. Provide keyword arguments to override hyper-parameter defaults, as in MultiTaskElasticNetRegressor(alpha=...).

Hyper-parameters

  • alpha = 1.0
  • l1_ratio = 0.5
  • fit_intercept = true
  • copy_X = true
  • max_iter = 1000
  • tol = 0.0001
  • warm_start = false
  • random_state = nothing
  • selection = cyclic