LassoLarsRegressor
LassoLarsRegressor
A model type for constructing a Lasso model fit with least angle regression (LARS), based on MLJScikitLearnInterface.jl, and implementing the MLJ model interface.
From MLJ, the type can be imported using
LassoLarsRegressor = @load LassoLarsRegressor pkg=MLJScikitLearnInterface
Do model = LassoLarsRegressor()
to construct an instance with default hyper-parameters. Provide keyword arguments to override hyper-parameter defaults, as in LassoLarsRegressor(alpha=...)
.
Hyper-parameters
alpha = 1.0
fit_intercept = true
verbose = false
precompute = auto
max_iter = 500
eps = 2.220446049250313e-16
copy_X = true
fit_path = true
positive = false