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