Training Algorithms

Linear Models

ReservoirComputing.StandardRidgeType
StandardRidge(regularization_coeff)
StandardRidge(;regularization_coeff=0.0)

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.

ReservoirComputing.LinearModelType
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.

Gaussian Regression

Missing docstring.

Missing docstring for GaussianProcess. Check Documenter's build log for details.

Support Vector Regression

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.