OrthogonalMatchingPursuitRegressor
OrthogonalMatchingPursuitRegressor
A model type for constructing a orthogonal matching pursuit regressor, based on MLJScikitLearnInterface.jl, and implementing the MLJ model interface.
From MLJ, the type can be imported using
OrthogonalMatchingPursuitRegressor = @load OrthogonalMatchingPursuitRegressor pkg=MLJScikitLearnInterface
Do model = OrthogonalMatchingPursuitRegressor()
to construct an instance with default hyper-parameters. Provide keyword arguments to override hyper-parameter defaults, as in OrthogonalMatchingPursuitRegressor(n_nonzero_coefs=...)
.
Hyper-parameters
n_nonzero_coefs = nothing
tol = nothing
fit_intercept = true
precompute = auto