ga: Genetic Algorithm to select best metamodel 'ga'

In malekbs/UP: What the package does (short line)

Description

ga is designed to estimate the quality of a surrogate

Usage

ga

Format

An R6Class generator object

Details

Automatic selection for general surrogates

Fields

listComp

List of component

dcoeff

Coefficient of each term fitness

Methods

ga$new(x, y)

Creates a new custom_fit. Used to construct an assesment of a quality of a surrogate model

evaluate(newdta)

It gives an evaluation of a surrogate model (object sm).

Examples

library(UP)
d              <- 2
X              <- expand.grid(x1=seq(0,1,length=5), x2=seq(0,1,length=4))

malekbs/UP documentation built on May 14, 2019, 8:05 a.m.