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