evaluateModel: Evaluate Model

In SPOT: Sequential Parameter Optimization Toolbox

Evaluate Model

Description

This function produces an objective function with y=f(x) from a provided model fit. Important note: this function expects predict(object,newdata) to return a list. The object$target parameter is a string that determines which list item is returned by the created function. If not set (NULL), object$target is set to "y".

Usage

evaluateModel(object, infillCriterion = NULL, verbosity = 0)

Arguments

object	fit created by a modeling function, e.g., buildRandomForest
infillCriterion	optional parameter, a function that accepts prediction results and a model object. The function should use these to alter the prediction result in a user desired way. For example turning the prediction results of a kriging model (mean and sd) into the expected improvement criterion
verbosity	verbosity (can be taken from control$verbosity). Default: 0

Value

a function in the style of y=f(x), which uses the fitted object to predict y for sample x.

SPOT documentation built on June 26, 2022, 1:06 a.m.