evaluate-methods: Evaluate the fitness of variable subsets

In gaselect: Genetic Algorithm (GA) for Variable Selection from High-Dimensional Data

Evaluate the fitness of variable subsets

Description

Evaluate the given variable subsets with the given Evaluator

Usage

evaluate(object, X, y, subsets, seed, verbosity)

## S4 method for signature 
## 'GenAlgEvaluator,matrix,numeric,matrix,integer,integer'
evaluate(object, X, y, subsets, seed, verbosity)

## S4 method for signature 
## 'GenAlgEvaluator,matrix,numeric,logical,integer,integer'
evaluate(object, X, y, subsets, seed, verbosity)

## S4 method for signature 'GenAlgEvaluator,matrix,numeric,ANY,missing,integer'
evaluate(object, X, y, subsets, seed, verbosity)

## S4 method for signature 'GenAlgEvaluator,matrix,numeric,ANY,integer,missing'
evaluate(object, X, y, subsets, seed, verbosity)

## S4 method for signature 'GenAlgEvaluator,matrix,numeric,ANY,missing,missing'
evaluate(object, X, y, subsets, seed, verbosity)

Arguments

object	The GenAlgEvaluator object that is used to evaluate the variables
X	The data matrix used to for fitting the model
y	The response vector
subsets	The logical matrix where a column stands for one subset to evaluate
seed	The value to seed the random number generator before evaluating
verbosity	A value between 0 (no output at all) and 5 (maximum verbosity)

gaselect documentation built on June 22, 2024, 11:05 a.m.