LasVegas: Las Vegas

In FSinR: Feature Selection

Description

Generates a search function based on Las Vegas algorithm. This function is called internally within the searchAlgorithm function. The LasVegas method \insertCiteLiuSetiono1996FSinR 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.

Author(s)

Francisco Aragón Royón

References

\insertAllCited

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)

## End(Not run)

FSinR documentation built on Nov. 23, 2020, 5:10 p.m.