TheilSenRegressor
TheilSenRegressor
A model type for constructing a Theil-Sen regressor, based on MLJScikitLearnInterface.jl, and implementing the MLJ model interface.
From MLJ, the type can be imported using
TheilSenRegressor = @load TheilSenRegressor pkg=MLJScikitLearnInterface
Do model = TheilSenRegressor()
to construct an instance with default hyper-parameters. Provide keyword arguments to override hyper-parameter defaults, as in TheilSenRegressor(fit_intercept=...)
.
Hyper-parameters
fit_intercept = true
copy_X = true
max_subpopulation = 10000
n_subsamples = nothing
max_iter = 300
tol = 0.001
random_state = nothing
n_jobs = nothing
verbose = false