LinearRegressor

LinearRegressor

A model type for constructing a ordinary least-squares regressor (OLS), based on MLJScikitLearnInterface.jl, and implementing the MLJ model interface.

From MLJ, the type can be imported using

LinearRegressor = @load LinearRegressor pkg=MLJScikitLearnInterface

Do model = LinearRegressor() to construct an instance with default hyper-parameters. Provide keyword arguments to override hyper-parameter defaults, as in LinearRegressor(fit_intercept=...).

Hyper-parameters

• fit_intercept = true
• copy_X = true
• n_jobs = nothing