public RAResultNonLinear(RAProcessorNonLinear initProcessorWithData) : base(initProcessorWithData) { RAProcessor = initProcessorWithData; Coefficients = RAProcessor.GetTempResult().Coefficients; Model = (x, y) => RAProcessor.GetTempResult().Function(x, y); }
/// <summary> /// Set model and learning adjustment for nonlinear regression analysis from already existing RA processor /// </summary> public void SetModel(RAProcessorNonLinear prototype) { LeastSquares = prototype.LeastSquares; }
public RAResultNonLinear(RAData initData) : base(initData) { RAProcessor = new RAProcessorNonLinear(initData); }