smse


Calculates the MSE between vectors after scaling them.
Beware that this error measure is invariant to scaling with negative constants, i.e.
the multiplicative inverse of the true functions also receives an error of 0.
See <a href="http://www2.cs.uidaho.edu/~cs472_572/f11/scaledsymbolicRegression.pdf">http://www2.cs.uidaho.edu/~cs472_572/f11/scaledsymbolicRegression.pdf</a> for
details.


RGP is a simple modular Genetic Programming (GP) system build in
pure R. In addition to general GP tasks, the system supports Symbolic
Regression by GP through the familiar R model formula interface. GP
individuals are represented as R expressions, an (optional) type system
enables domain-specific function sets containing functions of diverse
domain- and range types. A basic set of genetic operators for variation
(mutation and crossover) and selection is provided.

smse: Scaled mean squared error (SMSE)

Description

Usage

Arguments

Value