GenAlg-class: Result of a genetic algorithm run

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

Result of a genetic algorithm run

Description

Return object of a run of the genetic algorithm genAlg

Slots

subsets

Logical matrix with one variable subset per column. The columns are ordered according to their fitness (first column contains the fittest variable-subset).

rawFitness

Numeric vector with the raw fitness of the corresponding variable subset returned by the evaluator.

response

The original response vector.

covariates

The original covariates matrix.

evaluator

The evaluator used in the genetic algorithm.

control

The control object.

segmentation

The segments used by the evaluator. Empty list if the evaluator doesn't use segmentation.

seed

The seed the algorithm is started with.

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