FunctionalModel.fit: Fit the Given Model Blueprint to the Specified Data

In thomasWeise/regressoR.functional: An R Package for Fitting Functional Models to 2-Dimensional Data

Description

This is the general method to be used to fit a FunctionalModel to a RegressionQualityMetric.

Usage

FunctionalModel.fit(metric, model, par = NULL, q = 0.75)

Arguments

metric	an instance of RegressionQualityMetric
model	an instance of FunctionalModel
par	the initial starting point
q	the effort to spent in learning, a value between 0 (min) and 1 (max). Higher values may lead to much more computational time, lower values to potentially lower result quality.

Value

On success, an instance of FittedFunctionalModel. NULL on failure.

thomasWeise/regressoR.functional documentation built on May 10, 2019, 10:24 a.m.