Evaluate BioGA fitness — bioga_fitness • BioGA

User-facing wrapper around evaluate_fitness_cpp().

Usage

bioga_fitness(
  genomic_data,
  population,
  weights = c(1, 0.5),
  labels = NULL,
  representation = c("real", "binary")
)

Arguments

genomic_data: Numeric matrix of genomic data (rows: genes, columns: samples).
population: Numeric matrix of individuals (rows: individuals, columns: genes).
weights: Numeric vector of objective weights (length 1 or 2).
labels: Optional class labels, one per sample (integer, numeric, factor, character or logical). Required when representation = "binary".
representation: Either "real" or "binary".

Value

Numeric matrix of fitness scores (rows: individuals, columns: objectives).

See also

bioga(), evaluate_fitness_cpp()

Examples

genomic_data <- matrix(rnorm(200), nrow = 20, ncol = 10)
population <- initialize_population_cpp(genomic_data, population_size = 5)
bioga_fitness(genomic_data, population)
#>          [,1]      [,2]
#> [1,] 304.2346 0.3832998
#> [2,] 323.1340 0.3914986
#> [3,] 220.9086 0.2619454
#> [4,] 287.5368 0.3194004
#> [5,] 347.6736 0.4414341