FSinR (version 2.0.8)

hillClimbing: Hill-Climbing

Description

Generates a search function based on the hill climbing method. This function is called internally within the searchAlgorithm function. The Hill-Climbing Russell2009FSinR method starts with a certain set of features and in each iteration it searches among its neighbors to advance towards a better solution. The method ends as soon as no better solutions are found.

Usage

hillClimbing(start = NULL, nneigh = NULL, repeats = 1, verbose = FALSE)

Value

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

Arguments

start

Binary vector with the set of initial features

nneigh

Number of neighbors to evaluate in each iteration of the algorithm. By default: all posibles. It is important to note that a high value of this parameter considerably increases the computation time.

repeats

Number of repetitions of the algorithm

verbose

Print the partial results in each iteration

Author

Francisco Aragón Royón

References

Examples

# \donttest{ 

## 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('IEConsistency')

# Generates the search function with Hill-Climbing
hc_search <- hillClimbing()
# Performs the search process directly (parameters: dataset, target variable and evaluator)
hc_search(iris, 'Species', filter_evaluator)
# }