FSinR (version 2.0.5)

LasVegas: Las Vegas

Description

Generates a search function based on Las Vegas algorithm. This function is called internally within the searchAlgorithm function. The LasVegas method LiuSetiono1996FSinR starts with a certain set of features and in each step a new set is randomly generated, if the new set is better it is saved as the best solution. The algorithm ends when there are no improvements in a certain number of iterations.

Usage

LasVegas(start = NULL, K = 50, verbose = FALSE)

Arguments

start

Binary vector with the set of initial features (1: selected and 0: unselected) for the algorithm

K

The maximum number of iterations without improvement to finalize the algorithm

verbose

Print the partial results in each iteration

Value

Returns a search function that is used to guide the feature selection process.

References

Examples

# NOT RUN {
## The direct application of this function is an advanced use that consists of using this 
# function directly and performing a search process in a feature space
## Classification problem

# Generates the filter evaluation function
filter_evaluator <- filterEvaluator('determinationCoefficient')

# Generates the search function with Las Vegas
LV_search <- LasVegas()
# Performs the search process directly (parameters: dataset, target variable and evaluator)
LV_search(iris, 'Species', filter_evaluator)
# }