Ridge regression training for all the models in the library. The
regularization_coeff is the regularization, it can be passed as an arg or kwarg.
LinearModel(;regression=LinearRegression, solver=Analytical(), regression_kwargs=(;))
Linear regression training based on MLJLinearModels for all the models in the library. All the parameters have to be passed into
regression_kwargs, apart from the solver choice. MLJLinearModels.jl needs to be called in order to use these models.
Missing docstring for
GaussianProcess. Check Documenter's build log for details.
Support vector Regression is possible using a direct call to LIBSVM regression methods. Instead of a wrapper please refer to the use of
LIBSVM.AbstractSVR in the original library.